Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

[1]  Ming Li,et al.  Industrial IoT and Long Short-Term Memory Network-Enabled Genetic Indoor-Tracking for Factory Logistics , 2022, IEEE Transactions on Industrial Informatics.

[2]  Xiang T. R. Kong,et al.  Just Trolley: Implementation of industrial IoT and digital twin-enabled spatial-temporal traceability and visibility for finished goods logistics , 2022, Adv. Eng. Informatics.

[3]  C. Chowdhury,et al.  A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives , 2022, CCF Trans. Pervasive Comput. Interact..

[4]  Grégoire Lefebvre,et al.  Improved CNN-based Magnetic Indoor Positioning System using Attention Mechanism , 2021, 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[5]  Irina V. Pustokhina,et al.  An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety , 2021 .

[6]  Xiaoshuan Zhang,et al.  Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring , 2021 .

[7]  Kai Ma,et al.  Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features , 2021, IEEE Transactions on Medical Imaging.

[8]  H. Golpîra,et al.  A review of logistics Internet-of-Things: Current trends and scope for future research , 2021, J. Ind. Inf. Integr..

[9]  Zhuqing Wang,et al.  Digital twin to improve the virtual-real integration of industrial IoT , 2021, J. Ind. Inf. Integr..

[10]  Tomas Pfister,et al.  CutPaste: Self-Supervised Learning for Anomaly Detection and Localization , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  F. Richard Yu,et al.  Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey , 2021, IEEE Internet of Things Journal.

[12]  Raed A. Abd-Alhameed,et al.  A Review of Indoor Localization Techniques and Wireless Technologies , 2021, Wireless Personal Communications.

[13]  Hyeong Hun Lee,et al.  Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain. , 2021, Journal of magnetic resonance.

[14]  Huu Du Nguyen,et al.  Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management , 2020, Int. J. Inf. Manag..

[15]  Xiaoshuan Zhang,et al.  Comfort and health evaluation of live mutton sheep during the transportation based on wearable multi-sensor system , 2020, Comput. Electron. Agric..

[16]  Jing Dai,et al.  Service innovation of cold chain logistics service providers: A multiple-case study in China , 2020 .

[17]  Wei Wu,et al.  Experimental Investigation of A Real-time Monitoring System for Cold Chain Logistics , 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

[18]  Yu-Hsing Wang,et al.  Anomaly detection of defects on concrete structures with the convolutional autoencoder , 2020, Adv. Eng. Informatics.

[19]  Nguyen Lu Dang Khoa,et al.  Robust Deep Learning Methods for Anomaly Detection , 2020, KDD.

[20]  Mohammad H. Mahoor,et al.  Deep learning methods for fingerprint-based indoor positioning: a review , 2020, J. Locat. Based Serv..

[21]  Abdulla Al-Ali,et al.  Indoor positioning and wayfinding systems: a survey , 2020, Human-centric Computing and Information Sciences.

[22]  Yujie Wang,et al.  An Indoor Positioning Method Based on CSI by Using Features Optimization Mechanism With LSTM , 2020, IEEE Sensors Journal.

[23]  Xiaofei Xing,et al.  Trustworthy Network Anomaly Detection Based on an Adaptive Learning Rate and Momentum in IIoT , 2020, IEEE Transactions on Industrial Informatics.

[24]  José Cecílio,et al.  Improving bluetooth beacon-based indoor location and fingerprinting , 2019, Journal of Ambient Intelligence and Humanized Computing.

[25]  Yu Qiao,et al.  AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network , 2019, ACM Multimedia.

[26]  Chalapathy Raghavendra,et al.  Deep Learning for Anomaly Detection , 2019 .

[27]  Raghavendra Chalapathy University of Sydney,et al.  Deep Learning for Anomaly Detection: A Survey , 2019, ArXiv.

[28]  Yuhong Yang,et al.  The BLE Fingerprint Map Fast Construction Method for Indoor Localization , 2018, ICA3PP.

[29]  Chen Yang,et al.  Distributed and collaborative proactive tandem location tracking of vehicle products for warehouse operations , 2018, Comput. Ind. Eng..

[30]  See-Kiong Ng,et al.  Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series , 2018, ArXiv.

[31]  R. Sarpong,et al.  Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc02572c , 2019, Chemical science.

[32]  Chun-Ho Wu,et al.  An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks , 2018, Ind. Manag. Data Syst..

[33]  Tie Luo,et al.  Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT , 2018, 2018 IEEE International Conference on Communications (ICC).

[34]  Haixia Wang,et al.  Received Signal Strength Based Indoor Positioning Using a Random Vector Functional Link Network , 2018, IEEE Transactions on Industrial Informatics.

[35]  Ahmed Zouinkhi,et al.  RFID IoT-enabled warehouse for safety management using product class-based storage and potential fields methods , 2018, Int. J. Embed. Syst..

[36]  Shenghua Gao,et al.  Future Frame Prediction for Anomaly Detection - A New Baseline , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[37]  King Lun Choy,et al.  An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment , 2017 .

[38]  Lin Zhao,et al.  Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs , 2017, Ind. Manag. Data Syst..

[39]  Fernando Seco Granja,et al.  RFID-based centralized cooperative localization in indoor environments , 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[40]  Jason Jianjun Gu,et al.  Deep Neural Networks for wireless localization in indoor and outdoor environments , 2016, Neurocomputing.

[41]  Md. Rafiqul Islam,et al.  A survey of anomaly detection techniques in financial domain , 2016, Future Gener. Comput. Syst..

[42]  Mahdi H. Miraz,et al.  A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT) , 2015, 2015 Internet Technologies and Applications (ITA).

[43]  Muhammad Waseem,et al.  A Review on Internet of Things (IoT) , 2015 .

[44]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[45]  Imran Sarwar Bajwa,et al.  An IoT-Based Real-Time Intelligent Monitoring and Notification System of Cold Storage , 2021, IEEE Access.

[46]  Erhu Wei,et al.  Improving Fingerprint Indoor Localization Using Convolutional Neural Networks , 2020, IEEE Access.

[47]  A. Krishnaswamy,et al.  UNSUPERVISED ANOMALOUS SOUND DETECTION USING SELF-SUPERVISED CLASSIFICATION AND GROUP MASKED AUTOENCODER FOR DENSITY ESTIMATION Technical , 2020 .

[48]  Douglas Kunda,et al.  An IoT based Warehouse Intrusion Detection(E-Perimeter) and Grain Tracking Model for Food Reserve Agency , 2018 .

[49]  Eleonora Bottani,et al.  RFID and real time localization systems for warehouse management: A model for technical and economic evaluation , 2013, Int. J. RF Technol. Res. Appl..