Technologies and Innovation: 6th International Conference, CITI 2020, Guayaquil, Ecuador, November 30 – December 3, 2020, Proceedings

Agricultural advisory systems are widely used now for fast dissemination of agricultural knowledge and information, introduction of modern scientific research and technologies in production, mobility and constant advanced training of agricultural specialists. Their implementation becomes an important factor in competitiveness of rural economy. We consider advisory systems used by various countries and regions, their specifics and aims, and knowledge bases that can be used as bedrock for agro-advisory applications – the European Multilingual Classifier of Skills, Competences, Qualifications and Occupations ESCO ontology, ontologies of learning resources (on example of MOOCs), user profile ontologies. Analyses of the intelligent Web-oriented informational technologies shows an expedience of advisory development based on the Semantic Web standards of knowledge representation and processing.An important factor of advisory efficiency deals with semantic documentation and validation of non-formal and informal learning outcomes typical for agriculture. We propose semantic advisory system AdvisOnt based on ontological representation of knowledge about competencies, vacancies, training courses, user profiles, employers and companies. AdvisOnt services match available vacancies and applicant profiles to recommend employment or further learning of wanting competences by analysis of their formal, non-formal and informal learning outcomes.

[1]  Kyparisia A. Papanikolaou,et al.  Constructing Interpretative Views of Learners’ Interaction Behavior in an Open Learner Model , 2015, IEEE Transactions on Learning Technologies.

[2]  Lluís Padró,et al.  FreeLing 3.0: Towards Wider Multilinguality , 2012, LREC.

[3]  B. Karthikeyan,et al.  Segmentation Techniques Comparison in Image Processing , 2013 .

[4]  Thomas Daniel Ullmann,et al.  A Visualisation Dashboard for Contested Collective Intelligence. Learning Analytics to Improve Sensemaking of Group Discussion , 2019 .

[5]  Saniya Zahoor,et al.  Applicability of mobile contact tracing in fighting pandemic (COVID-19): Issues, challenges and solutions , 2020, Computer Science Review.

[6]  Robert L. Mercer,et al.  Class-Based n-gram Models of Natural Language , 1992, CL.

[7]  Juan M. Corchado,et al.  Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings , 2018, Energies.

[8]  Jung-Yoon Kim,et al.  Design and development methodologies of Kkongalmon, a location-based augmented reality game using mobile geographic information , 2019, EURASIP J. Image Video Process..

[9]  Alex Pentland,et al.  Mobile phone data and COVID-19: Missing an opportunity? , 2020, ArXiv.

[10]  Edward Jones,et al.  A survey of image processing techniques for plant extraction and segmentation in the field , 2016, Comput. Electron. Agric..

[11]  Ronny Scherer,et al.  The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education , 2019, Comput. Educ..

[12]  David Bamman,et al.  Contextualized Sarcasm Detection on Twitter , 2015, ICWSM.

[13]  Antonio Marín-Hernández,et al.  An Approach based on a Robotics Operation System for the Implementation of Integrated Intelligent House Services System , 2019, 2019 International Conference on Electronics, Communications and Computers (CONIELECOMP).

[14]  Kiseon Kim,et al.  A review on application of technology systems, standards and interfaces for agriculture and food sector , 2013, Comput. Stand. Interfaces.

[15]  Patrick Siarry,et al.  A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem , 2010, Eng. Appl. Artif. Intell..

[16]  Antonio J. Nebro,et al.  jMetal: A Java framework for multi-objective optimization , 2011, Adv. Eng. Softw..

[17]  Vivek K. Singh,et al.  Toward Multimodal Cyberbullying Detection , 2017, CHI Extended Abstracts.

[18]  G. Eysenbach,et al.  Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.

[19]  Jorge E. Peña,et al.  Citrus leafminer (Lepidoptera: Gracillariidae) in lime: Assessment of leaf damage and effects on photosynthesis , 1997 .

[20]  H. Navarro-Hellín,et al.  A wireless sensors architecture for efficient irrigation water management , 2015 .

[21]  Christo Kirov,et al.  A Language-Independent Feature Schema for Inflectional Morphology , 2015, ACL.

[22]  Juan Manuel Dodero,et al.  Integrating quantitative and qualitative data in assessment of wiki collaborative assignments , 2018, TEEM.

[23]  Ken Thompson,et al.  Programming Techniques: Regular expression search algorithm , 1968, Commun. ACM.

[24]  José Oscar Olmedo-Aguirre,et al.  HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving , 2020, Energies.

[25]  Wilma Adriana López-Hernández,et al.  Competitividad del limón persa en la región del Papaloapan, Oaxaca , 2019, Revista Mexicana de Ciencias Agrícolas.

[26]  Jason Bay,et al.  BlueTrace: A privacy-preserving protocol for community-driven contact tracing across borders , 2020 .

[27]  Kok Wai Wong,et al.  Utilising Mobile-Augmented Reality for Learning Human Anatomy , 2015 .

[28]  Jay Kandampully,et al.  Virtual reality presence as a preamble of tourism experience: The role of mental imagery , 2019, Tourism Management.

[29]  K. Cho,et al.  Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models , 2018, Water.

[30]  Mark Anderson,et al.  Towards a Fishing Pressure Prediction System for a Western Pacific EEZ , 2019, Scientific Reports.

[31]  Gong Ling,et al.  An improved TF-IDF approach for text classification , 2005 .

[32]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[33]  Prachi Dalvi,et al.  Overview of Agriculture Domain Ontologies , 2016 .

[34]  Severino Feliciano Morales,et al.  Search for Optimum Color Space for the Recognition of Oranges in Agricultural Fields , 2017, CITI.

[35]  Luiz Moutinho,et al.  Motivations, emotions and satisfaction: The keys to a tourism destination choice , 2020 .

[36]  J. F Banda,et al.  Importancia economica de heliothis zea (boddie) y determinacion del umbral economico, distribucion matematica y muestreo secuencial de spodoptera frugiperda (smith) en maiz criollo , 1981 .

[37]  Mikel Egaña Aranguren,et al.  Plant Pathogen Interactions Ontology (PPIO) , 2013, IWBBIO.

[38]  Mario Andrés Paredes-Valverde,et al.  PESSHIoT: Smart Platform for Monitoring and Controlling Smart Home Devices and Sensors , 2019, CITI.

[39]  Grinson George,et al.  Fisheries oceanography- Established links in the eastern Arabian Sea , 2017 .

[40]  Juana María Ruiz-Martínez,et al.  Semantic-Based Sentiment analysis in financial news , 2012 .

[41]  Jiri Matas,et al.  Extended Set of Local Binary Patterns for Rapid Object Detection , 2010 .

[42]  J. Pei,et al.  Outlier detection on uncertain data: Objects, instances, and inferences , 2011, 2011 IEEE 27th International Conference on Data Engineering.

[43]  Henwood,et al.  Author index , 1983, Pharmacology Biochemistry and Behavior.

[44]  Manoj Kumar Tiwari,et al.  Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system. , 2018 .

[45]  R. K. Ursem Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[46]  Blair MacIntyre,et al.  Using projection AR to add design studio pedagogy to a CS classroom , 2016, 2016 IEEE Virtual Reality (VR).

[47]  T. Harding,et al.  Tourism and the Highlands: A cross-sectional study on trauma and orthopaedic service use by tourists in 2017 , 2020, The Surgeon.

[48]  Izabela Kapera,et al.  Sustainable tourism development efforts by local governments in Poland , 2018, Sustainable Cities and Society.

[49]  Marco Aiello,et al.  Coordinating the web of services for a smart home , 2013, TWEB.

[50]  Iakovos S. Venieris,et al.  Collective domotic intelligence through dynamic injection of semantic rules , 2015, 2015 IEEE International Conference on Communications (ICC).

[51]  John W. Graham,et al.  Analysis of Missing Data , 2012 .

[52]  Christina Tölkes Sustainability communication in tourism – A literature review , 2018, Tourism Management Perspectives.

[53]  Lubomír Prokeš,et al.  The impact of tourism on extremely visited volcanic island: Link between environmental pollution and transportation modes. , 2020, Chemosphere.

[54]  Jose Yunam Cuan-Baltazar,et al.  Misinformation of COVID-19 on the Internet: Infodemiology Study , 2020, JMIR Public Health and Surveillance.

[55]  P. Siarry,et al.  Multiobjective Optimization: Principles and Case Studies , 2004 .

[56]  Joseph Chazalon,et al.  Augmented songbook: an augmented reality educational application for raising music awareness , 2018, Multimedia Tools and Applications.

[57]  G. Eysenbach Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet , 2009, Journal of medical Internet research.

[58]  Lamia Chaari,et al.  A New Architecture for Cognitive Internet of Things and Big Data , 2019, KES.

[59]  Nickolas J. G. Falkner,et al.  Using Learning Analytics to Visualise Computer Science Teamwork , 2015, ITiCSE.

[60]  Ricardo Jardim-Gonçalves,et al.  A multi-criteria decision model for the selection of a more suitable Internet-of-Things device , 2017, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[61]  Rifat Kurban,et al.  Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding , 2014, Appl. Soft Comput..

[62]  Javier Nogueras-Iso,et al.  Agricultural recommendation system for crop protection , 2018, Comput. Electron. Agric..

[63]  Mark A. Musen,et al.  AgroPortal: A vocabulary and ontology repository for agronomy , 2018, Comput. Electron. Agric..

[64]  R. Redfield,et al.  Covid-19 — Navigating the Uncharted , 2020, The New England journal of medicine.

[65]  B. Bichler,et al.  Designing tourism governance: The role of local residents , 2019 .

[66]  Gert B. M. Mensink,et al.  A new index to measure healthy food diversity better reflects a healthy diet than traditional measures. , 2007, The Journal of nutrition.

[67]  Trevor Williams,et al.  Biological pest control in Mexico. , 2013, Annual review of entomology.

[68]  Johannes Keizer,et al.  The AGROVOC Linked Dataset , 2013, Semantic Web.

[69]  Rachid Maouedj,et al.  Contribution to the modeling and simulation of multiagent systems for energy saving in the habitat , 2017, 2017 International Conference on Mathematics and Information Technology (ICMIT).

[70]  Sung-Ta Liu,et al.  Comparing the perspectives of municipal tourism departments and cultural departments on urban cultural-tourism development , 2020 .

[71]  Yongtian Wang,et al.  A tour guiding system of historical relics based on augmented reality , 2016, 2016 IEEE Virtual Reality (VR).

[72]  Xiao-Ben Pan,et al.  Application of personal-oriented digital technology in preventing transmission of COVID-19, China , 2020, Irish Journal of Medical Science (1971 -).

[73]  Claudio Favi,et al.  Big data analysis for the estimation of disassembly time and de-manufacturing activity , 2020 .

[74]  H WittenIan,et al.  The WEKA data mining software , 2009 .

[75]  E. Jane,et al.  ‘Back to the kitchen, cunt’: speaking the unspeakable about online misogyny , 2014 .

[76]  Belur V. Dasarathy,et al.  Nearest neighbor (NN) norms: NN pattern classification techniques , 1991 .

[77]  Sebastian Thiede,et al.  Achieving Environmental Performance Goals - Evaluation of Impact Factors Using a Knowledge Discovery in Databases Approach , 2016 .

[78]  Fausto Alberto Salazar Fierro,et al.  COMPARATIVA TÉCNICA DE HERRAMIENTAS PARA REALIDAD AUMENTADA: WIKITUDE, VUFORIA Y ARTOOLKIT , 2018, AXIOMA.

[79]  Ronan Fablet,et al.  Fishing Gear Identification From Vessel-Monitoring-System-Based Fishing Vessel Trajectories , 2018, IEEE Journal of Oceanic Engineering.

[80]  Christoph Rensing,et al.  PeerLA - Assistant for Individual Learning Goals and Self-Regulation Competency Improvement in Online Learning Scenarios , 2016, 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT).

[81]  Rommel Torres,et al.  Monitoring System of Environmental Variables Using a Wireless Sensor Network and Platforms of Internet of Things , 2017 .

[82]  Francisco Manzano-Agugliaro,et al.  Sistema inalámbrico de monitorización para cultivos en invernadero , 2014 .

[83]  Floyd P. Harrison,et al.  Harrison: Fall Armyworm Symposium-1984 333 'OBSERVATIONS ON THE INFESTATION OF CORN BY FALL ARMYWORM (LEPIDOPTERA: NOCTUIDAE) WITH REFERENCE TO PLANT MATURITY , 1984 .

[84]  George E. Meyer,et al.  Plant species identification, size, and enumeration using machine vision techniques on near-binary images , 1993, Other Conferences.

[85]  Gunther Eysenbach,et al.  SARS and Population Health Technology , 2003, Journal of medical Internet research.

[86]  Rong Jin,et al.  A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[87]  M. Kubát An Introduction to Machine Learning , 2017, Springer International Publishing.

[88]  Mats Tysklind,et al.  Multivariate assessment of barriers materials for treatment of complex groundwater rich in dissolved organic matter and organic and inorganic contaminants , 2017 .

[89]  José Medina-Moreira,et al.  Tecnologías inteligentes para la autogestión de la salud , 2018, Proces. del Leng. Natural.

[90]  Anouschka van Leeuwen,et al.  Comparing teachers' use of mirroring and advising dashboards , 2020, LAK.

[91]  Haijun Yang Measuring Software Product Quality with ISO Standards Base on Fuzzy Logic Technique , 2012 .

[92]  Sang-Gon Lee,et al.  Room Temperature Control and Fire Alarm/Suppression IoT Service Using MQTT on AWS , 2017, 2017 International Conference on Platform Technology and Service (PlatCon).

[93]  Mukti Zainuddin,et al.  SKIPJACK TUNA IN RELATION TO SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A CONCENTRATION OF BONE BAY USING REMOTELY SENSED SATELLITE DATA , 2011 .

[94]  Ahmed Khattab,et al.  Design and implementation of a cloud-based IoT scheme for precision agriculture , 2016, 2016 28th International Conference on Microelectronics (ICM).

[95]  Arturo Medela,et al.  IoT multiplatform networking to monitor and control wineries and vineyards , 2013, 2013 Future Network & Mobile Summit.

[96]  Rafael Valencia-García,et al.  Review of English literature on figurative language applied to social networks , 2019, Knowledge and Information Systems.

[97]  José Medina-Moreira,et al.  Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases , 2019, Applied Sciences.

[98]  Pramode K. Verma,et al.  Predicting user comfort level using machine learning for Smart Grid environments , 2011, ISGT 2011.

[99]  H. Arksey,et al.  Scoping studies: towards a methodological framework , 2005 .

[100]  Syed Sibte Raza Abidi,et al.  A Predictive Model for Personalized Therapeutic Interventions in Non-small Cell Lung Cancer , 2016, IEEE Journal of Biomedical and Health Informatics.

[101]  Karl Rihaczek,et al.  1. WHAT IS DATA MINING? , 2019, Data Mining for the Social Sciences.

[102]  Flávia Biroli,et al.  Violence against Women and Reactions to Gender Equality in Politics , 2018, Politics & Gender.

[103]  P. Mehta,et al.  COVID-19: consider cytokine storm syndromes and immunosuppression , 2020, The Lancet.

[104]  Mohamed Sbihi,et al.  Experimentation of a Multidimensional Model for Tracking Interactions Between Learners During an Online Collaborative Work , 2017, iJET.

[105]  Sébastien Marcel,et al.  Local binary patterns as an image preprocessing for face authentication , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[106]  Niblack Thresholding,et al.  IMAGE SEGMENTATION BY USING THRESHOLDING TECHNIQUES FOR MEDICAL IMAGES , 2016 .

[107]  Il Sohn,et al.  Review of Innovative Energy Savings Technology for the Electric Arc Furnace , 2014 .

[108]  Francisco García-Sánchez,et al.  PestDetect: Pest Recognition Using Convolutional Neural Network , 2019, ICT for Agriculture and Environment.

[109]  I. Hernández-García,et al.  Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study , 2020, JMIR Public Health and Surveillance.

[110]  D. Cucinotta,et al.  WHO Declares COVID-19 a Pandemic , 2020, Acta bio-medica : Atenei Parmensis.

[111]  H. Md. Azamathulla,et al.  Support vector machine approach for longitudinal dispersion coefficients in natural streams , 2011, Appl. Soft Comput..

[112]  B. Kamber,et al.  Geochemical fingerprinting: 40 years of analytical development and real world applications , 2009 .

[113]  Judith S. Olson,et al.  DocuViz: Visualizing Collaborative Writing , 2015, CHI.

[114]  Yang Zhang,et al.  A TAM-based approach to explore the effect of online experience on destination image: A smartphone user's perspective , 2017, Journal of Destination Marketing & Management.

[115]  Ali Idri,et al.  ISO/IEC 25010 Based Evaluation of Free Mobile Personal Health Records for Pregnancy Monitoring , 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

[116]  P. Mangelsdorf,et al.  Origin of Maize , 1940, Nature.

[117]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[118]  Diego P. Chacón-Troya,et al.  Domotic application for the monitoring and control of residential electrical loads , 2017, 2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII).

[119]  Peter D. Turney Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.

[120]  Hadi Farhadian,et al.  New empirical model to evaluate groundwater flow into circular tunnel using multiple regression analysis , 2017 .

[121]  H. Navarro-Hellín,et al.  A software architecture based on FIWARE cloud for Precision Agriculture , 2017 .

[122]  Oscar Tinoco Gómez,et al.  Criterios de selección de metodologías de desarrollo de software , 2014 .

[123]  Weon-Geun Oh,et al.  An analysis of the effect of different image preprocessing techniques on the performance of SURF: Speeded Up Robust Features , 2011, 2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV).

[124]  Miguel Ángel Rodríguez-García,et al.  Automatic detection of satire in Twitter: A psycholinguistic-based approach , 2017, Knowl. Based Syst..

[125]  A. Oliveira,et al.  Damage of Spodoptera frugiperda (Smith) in different maize genotypes cultivated in soil under three levels of aluminium saturation , 1999 .

[126]  Patricia Takako Endo,et al.  A Comparison of Machine Learning Approaches for Detecting Misogynistic Speech in Urban Dictionary , 2019, 2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA).

[127]  J. M. Matías,et al.  IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques , 2010 .

[128]  Thyago P. Carvalho,et al.  A systematic literature review of machine learning methods applied to predictive maintenance , 2019, Comput. Ind. Eng..

[129]  J. Hu,et al.  Control of Citrus Huanglongbing via Trunk Injection of Plant Defense Activators and Antibiotics. , 2018, Phytopathology.

[130]  Alan M. Davis,et al.  Software requirements - analysis and specification , 1990 .

[131]  Casey Fiesler,et al.  “Participant” Perceptions of Twitter Research Ethics , 2018 .

[132]  Feng Chen,et al.  From Twitter to detector: real-time traffic incident detection using social media data , 2016 .

[133]  Diego Hernán Peluffo-Ordóñez,et al.  Internet de las Cosas y Visión Artificial, Funcionamiento y Aplicaciones: Revisión de Literatura , 2017 .

[134]  R. Ortega-Argilés,et al.  Smart specialisation and tourism: Understanding the priority choices in EU regions , 2020 .

[135]  Bob McKercher,et al.  The impact of distance on international tourism demand , 2019, Tourism Management Perspectives.

[136]  M. Anzovino,et al.  Misogyny Detection on Social Media : a Methodological Approach , 2018 .

[137]  Thomas I. Strasser,et al.  Assessing the Integration of Software Agents and Industrial Automation Systems with ISO/IEC 25010 , 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

[138]  Tomás Baviera Puig Técnicas para el Análisis de Sentimiento en Twitter: Aprendizaje Automático Supervisado y SentiStrength , 2017 .

[139]  Vyacheslav S. Kharchenko,et al.  Evolution of Software Quality Models in Context of the Standard ISO 25010 , 2014, DepCoS-RELCOMEX.

[140]  Hafez Ahmad,et al.  MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY , 2019, Aquatic Research.

[141]  Tulay Koru-Sengul,et al.  The Utility of Social Media in Providing Information on Zika Virus , 2017, Cureus.

[142]  Gonzalo Llano Ramírez,et al.  Sistemas de Información enfocados en tecnologías de agricultura de precisión y aplicables a la caña de azúcar, una revisión , 2015 .

[143]  M. E. Maron,et al.  Automatic Indexing: An Experimental Inquiry , 1961, JACM.

[144]  J. Golbeck Online Harassment , 2020, Human Resource Management International Digest.

[145]  J. Pennebaker,et al.  The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .

[146]  T. Sathish,et al.  A novel approach to predict chlorophyll-a in coastal-marine ecosystems using multiple linear regression and principal component scores. , 2020, Marine pollution bulletin.

[147]  Vladik Kreinovich,et al.  A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation) , 2017, Int. J. Gen. Syst..

[148]  Victor Hugo Mercado-Ramos,et al.  Herramientas y buenas prácticas para el aseguramiento de calidad de software con metodologías ágiles , 2015 .

[149]  Anthony Ralston,et al.  Encyclopedia of Computer Science , 1971 .

[150]  Nilanjan Dey,et al.  A Beginner's Guide to Image Preprocessing Techniques , 2018 .

[151]  Rafael Valencia-García,et al.  Detecting misogyny in Spanish tweets. An approach based on linguistics features and word embeddings , 2021, Future Gener. Comput. Syst..

[152]  Barry Smith,et al.  A plant disease extension of the Infectious Disease Ontology , 2012, ICBO.

[153]  Rafael Valencia-García,et al.  Financial Knowledge Instantiation from Semi-structured, Heterogeneous Data Sources , 2018, CSOS.

[154]  Fernando Jiménez,et al.  Multi-objective evolutionary feature selection for online sales forecasting , 2017, Neurocomputing.

[155]  Christophe Cruz,et al.  Interpretation and automatic integration of geospatial data into the Semantic Web , 2019, Computing.

[156]  Rafael Valencia-García,et al.  AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops , 2020, Applied Sciences.

[157]  Kelly Neville,et al.  Evaluating Training Efficacy and Return on Investment for Augmented Reality: A Theoretical Framework , 2018, Advances in Intelligent Systems and Computing.

[158]  Javier Del Ser,et al.  Identifying recommendation opportunities for computer‐supported collaborative environments , 2016, Expert Syst. J. Knowl. Eng..

[159]  Nisha P. Shetty,et al.  N-Gram Assisted Youtube Spam Comment Detection , 2018 .

[160]  Peter J.S. Jones,et al.  A Governance Analysis of the Galápagos Marine Reserve , 2013 .

[161]  Lipika Dey,et al.  Opinion mining from noisy text data , 2008, AND '08.

[162]  A. Miguel P. Santos,et al.  Fisheries oceanography using satellite and airborne remote sensing methods: a review , 2000 .

[163]  Luis Chávez-Almazán,et al.  Análisis regional de la contaminación por plaguicidas organoclorados en leche humana en Guerrero, México , 2018 .

[164]  R. Lezama,et al.  Efecto del hongo entomopatógeno Metarhizium anisopliae sobre el control del gusano cogollero del maíz en campo , 2005 .

[165]  Ángel Rebollar-Alviter,et al.  Insecticide resistance of adults and nymphs of Asian citrus psyllid populations from Apatzingán Valley, Mexico. , 2018, Pest management science.

[166]  Rafael Valencia-García,et al.  Ontology-driven aspect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America , 2020, Future Generation Computer Systems.

[167]  Brett Drury,et al.  A survey of semantic web technology for agriculture , 2019 .

[168]  P. C. Martínez,et al.  en la salud y el ambiente , 2009 .

[169]  Rafael Valencia-García,et al.  A social-semantic recommender system for advertisements , 2020, Inf. Process. Manag..

[170]  G. Eysenbach Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness , 2008, Journal of medical Internet research.

[171]  Ajay K. Manrai,et al.  A study of safari tourism in sub-Saharan Africa: An empirical test of Tourism A-B-C (T-ABC) model , 2020 .

[172]  Jo Ueyama,et al.  A Low-Cost Smart Home Automation to Enhance Decision-Making based on Fog Computing and Computational Intelligence , 2018, IEEE Latin America Transactions.

[173]  M. Newlin Rajkumar,et al.  Intelligent irrigation system — An IOT based approach , 2017, 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT).

[174]  Tianzhen Hong,et al.  State-of-the-art on research and applications of machine learning in the building life cycle , 2020, Energy and Buildings.

[175]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[176]  Tianjiang Hu,et al.  Data-driven augmented reality display and operations for UAV ground stations , 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

[177]  Jaime Lloret,et al.  An IoT service-oriented system for agriculture monitoring , 2017, 2017 IEEE International Conference on Communications (ICC).

[178]  Juan D. Velásquez,et al.  Twitter for marijuana infodemiology , 2017, WI.

[179]  Emanuele Frontoni,et al.  Design of an interoperable framework with domotic sensors network integration , 2017, 2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[180]  Rong Jin,et al.  Understanding bag-of-words model: a statistical framework , 2010, Int. J. Mach. Learn. Cybern..

[181]  Sheng Yang He,et al.  Plant–Pathogen Warfare under Changing Climate Conditions , 2018, Current Biology.

[182]  Jose Rodriguez,et al.  Integration and Evaluation of Social Networks in Virtual Learning Environments: A Case Study , 2018 .

[183]  Pearl Brereton,et al.  Performing systematic literature reviews in software engineering , 2006, ICSE.

[184]  Gautam Srivastava,et al.  A Secure Publish/Subscribe Protocol for Internet of Things , 2019, IACR Cryptol. ePrint Arch..

[185]  María Alejandra Zangara,et al.  Visualización del proceso colaborativo como metaconocimiento: descripción de una estrategia de mirroring y sus resultados , 2017 .

[186]  J. M. González-Esquiva,et al.  Optimal color space selection method for plant/soil segmentation in agriculture , 2016, Comput. Electron. Agric..

[187]  Baharudin B. Baharum,et al.  Sentiment Classification Using Sentence-level Lexical Based Semantic Orientation of Online Reviews , 2011 .

[188]  R. Suman,et al.  Internet of things (IoT) applications to fight against COVID-19 pandemic , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[189]  Irka Hajdas,et al.  Paleosol architecture of a late Quaternary basin–margin sequence and its implications for high-resolution, non-marine sequence stratigraphy , 2014 .

[190]  Oliver Kopp,et al.  A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences , 2018, Internet of Everything.

[191]  Ezekiel J Emanuel,et al.  Fair Allocation of Scarce Medical Resources in the Time of Covid-19. , 2020, The New England journal of medicine.

[192]  José Medina-Moreira,et al.  Prevención de enfermedades infecciosas basada en el análisis inteligente en RRSS y participación ciudadana , 2019, Proces. del Leng. Natural.

[193]  Paolo Rosso,et al.  Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI) , 2018, EVALITA@CLiC-it.

[194]  Gwanggil Jeon Color Image Enhancement by Histogram Equalization in Heterogeneous Color Space , 2014, MUE 2014.

[195]  Nazar Zaki,et al.  Detection of Masses in Digital Mammogram Using Second Order Statistics and Artificial Neural Network , 2011 .

[196]  Soocheong Jang,et al.  A model of tourists’ civilized behaviors: Toward sustainable coastal tourism in China , 2020 .

[197]  Maximiliano Paredes Velasco,et al.  Augmented Reality as a methodology to development of learning in programming , 2018 .

[198]  Angelique Dimitracopoulou,et al.  Designing collaborative learning systems: current trends & future research agenda , 2005, CSCL.

[199]  Gunther Eysenbach,et al.  Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.

[200]  Véronique Hoste,et al.  LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval) , 2019, SemEval@NAACL-HLT.

[201]  Andrea Esuli,et al.  SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.

[202]  P. Atkinson,et al.  Introduction Neural networks in remote sensing , 1997 .

[203]  Jairo Alejandro Gomez,et al.  Review of IoT applications in agro-industrial and environmental fields , 2017, Comput. Electron. Agric..

[204]  João Guerreiro,et al.  20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach , 2020 .

[205]  Miguel Ángel Rodríguez-García,et al.  Pest Recognition Using Natural Language Processing , 2019, CITI.

[206]  James P. Burans,et al.  Emerging Infectious Plant Diseases , 2010 .

[207]  Andrew Hunter,et al.  A multi-objective genetic algorithm approach to feature selection in neural and fuzzy modeling , 2001 .

[208]  Jesualdo Tomás Fernández-Breis,et al.  Efficient, semantics-rich transformation and integration of large datasets , 2019, Expert Syst. Appl..

[209]  Marylin Mamani,et al.  Sistema web de bajo costo para monitorear y controlar un invernadero agrícola , 2017 .

[210]  Oscar Gabriel Fuentes Lanfor,et al.  Implementación de un sistema de seguridad independiente y automatización de una residencia por medio del internet de las cosas , 2017, 2017 IEEE Central America and Panama Student Conference (CONESCAPAN).

[211]  Li Lin,et al.  Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases , 2019, IEEE Access.

[212]  Antonio Piccinno,et al.  EnergyAware: a non-intrusive load monitoring system to improve the domestic energy consumption awareness , 2019, EnSEmble@ESEC/SIGSOFT FSE.

[213]  Deepayan Bhowmik,et al.  Fake News Identification on Twitter with Hybrid CNN and RNN Models , 2018, SMSociety.

[214]  Jonathan C. Mayo-Maldonado,et al.  Analysis of electric arc furnaces efficiency via frequency spectrum-based arc coverage detection , 2017 .

[215]  A. Dia,et al.  Loess geochemistry and its implications for particle origin and composition of the upper continental crust , 1998 .

[216]  Blanka Desortová,et al.  Relationship between Chlorophyll-α Concentration and Phytoplankton Biomass in Several Reservoirs in Czechoslovakia , 1981 .

[217]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[218]  Cristina E. Davis,et al.  Advanced methods of plant disease detection. A review , 2014, Agronomy for Sustainable Development.

[219]  Washington D.C Conferencia Sanitaria Panamericana,et al.  Programa internacional de seguridad de las sustancias químicas , 1986 .

[220]  Louise Richardson-Self,et al.  Woman‐Hating: On Misogyny, Sexism, and Hate Speech , 2018, Hypatia.

[221]  Fabio Del Frate,et al.  Neural networks for oil spill detection using ERS-SAR data , 2000, IEEE Trans. Geosci. Remote. Sens..

[222]  Francisco García-Sánchez,et al.  SePeRe: Semantically-Enhanced System for Pest Recognition , 2019, ICT for Agriculture and Environment.

[223]  Ma. Regina E. Estuar,et al.  Infodemiology for Syndromic Surveillance of Dengue and Typhoid Fever in the Philippines , 2017 .

[224]  Ramesh Raskar,et al.  Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic , 2020, ArXiv.

[225]  Alejandra Martínez-Monés,et al.  From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning , 2005, Int. J. Artif. Intell. Educ..

[226]  Ammar Tiri,et al.  Evaluation of potential health risk of heavy metals in groundwater using the integration of indicator kriging and multivariate statistical methods , 2017 .

[227]  Anne E. Thessen,et al.  Adoption of Machine Learning Techniques in Ecology and Earth Science , 2016 .

[228]  Imma Subirats-Coll,et al.  La Web Semántica y su aplicación en servicios de información : El caso de la Organización de las Naciones Unidas para la Alimentación y la Agricultura , 2013 .

[229]  Danaipong Chetchotsak,et al.  Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach. , 2015, Clinical biochemistry.

[230]  Michail N. Giannakos,et al.  Gaze insights into debugging behavior using learner-centred analysis , 2018, LAK.

[231]  Fernando Jiménez,et al.  Multi-Objective Evolutionary Optimization for Time Series Lag Regression , 2019 .

[232]  Ludovic Noirie,et al.  IoT Composer: Composition and Deployment of IoT Applications , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).

[233]  J. M. Molina-Martínez,et al.  Study and comparison of color models for automatic image analysis in irrigation management applications , 2015 .

[234]  L. W. Duncan,et al.  Microbial Control of Insect and Mite Pests of Citrus , 2017 .

[235]  Lanouar Charfeddine,et al.  Analysis of the performance of TAM in oil and gas industry: Factors and solutions for improvement , 2020 .

[236]  Héctor E. Guzmán Rodríguez En México: Retos para la adaptación a la Ley Federal de Protección de Datos Personales en Posesión de los Particulares , 2012 .

[237]  Enrique Peláez,et al.  Visualizing authorship and contribution of collaborative writing in e-learning environments , 2019, IUI.

[238]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[239]  Leopoldo Cruz-López,et al.  Native bees in blooming orange (Citrus sinensis) and lemon (C. limon) orchards in Yucatán, Mexico , 2013, ACTA ZOOLÓGICA MEXICANA (N.S.).

[240]  Arianna Falbo,et al.  Spitting Out the Kool-Aid: A Review of Kate Manne’s Down Girl: The Logic of Misogyny , 2018 .

[241]  Luc Hens,et al.  Chemical Pesticides and Human Health: The Urgent Need for a New Concept in Agriculture , 2016, Front. Public Health.

[242]  Patricia Mabel Pesado,et al.  Assistant for the Evaluation of Software Product Quality Characteristics Proposed by ISO/IEC 25010 Based on GQM-Defined Metrics , 2017, CACIC.

[243]  B. K. Julsing,et al.  Face Recognition with Local Binary Patterns , 2012 .

[244]  Myung Ja Kim,et al.  The impact of innovation and gratification on authentic experience, subjective well-being, and behavioral intention in tourism virtual reality: The moderating role of technology readiness , 2020, Telematics Informatics.

[245]  Abhra Chanda,et al.  Correlation of Phytoplankton Biomass (Chlorophyll-a) and Nutrients with the Catch Per Unit Effort in the PFZ Forecast Areas of Northern Bay of Bengal during Simultaneous Validation of Winter Fishing Season , 2016 .

[246]  Frank Leymann,et al.  Comparison of IoT platform architectures: A field study based on a reference architecture , 2016, 2016 Cloudification of the Internet of Things (CIoT).

[247]  Ade Gafar Abdullah,et al.  Virtual gasoline engine based on augment reality for mechanical engineering education , 2018 .

[248]  Helen Christensen,et al.  A Linguistic Analysis of Suicide-Related Twitter Posts , 2017, Crisis.

[249]  Stan Matwin,et al.  Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning , 2016, PloS one.