F. Rustam

发表

Detection of Fake Job Postings by Utilizing Machine Learning and Natural Language Processing Approaches

S. Ullah, S. Ludi, Wajdi Aljedaani, 2022, Neural Processing Letters.

What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets

Muhammad Abubakar Siddique, Furqan Rustam, I. Ashraf, 2023, PeerJ Comput. Sci..

Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model

Gyu Sang Choi, Imran Ashraf, Furqan Rustam, 2021, PeerJ Comput. Sci..

Fake news detection in Urdu language using machine learning

Furqan Rustam, I. Ashraf, M. Farooq, 2023, PeerJ Comput. Sci..

COVID-19 Future Forecasting Using Supervised Machine Learning Models

Gyu Sang Choi, Byung-Won On, Saleem Ullah, 2020, IEEE Access.

Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics

I. D. L. T. Díez, I. Ashraf, Juan Luís Vidal Mazón, 2022, Italian National Conference on Sensors.

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis

Muhammad Abubakar Siddique, Imran Ashraf, Rahman Shafique, 2021, Sensors.

Analysis and Evaluation of Barriers Influencing Blockchain Implementation in Moroccan Sustainable Supply Chain Management: An Integrated IFAHP-DEMATEL Framework

Mohamed Hanine, Omar Boutkhoum, Mohamed Nabil, 2021, Mathematics.

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Gyu Sang Choi, Imran Ashraf, Aijaz Ahmad Reshi, 2021, PeerJ Comput. Sci..

Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry

Mohamed Wiem Mkaouer, Wajdi Aljedaani, Ernesto Lee, 2022, Knowl. Based Syst..

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets using Stacked Ensemble GCR-NN Model

Wajdi Aljedaani, Ernesto Lee, I. Ashraf, 2022, IEEE Access.

Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model

Gyu Sang Choi, Imran Ashraf, Furqan Rustam, 2021, IEEE Access.

US Based COVID-19 Tweets Sentiment Analysis Using TextBlob and Supervised Machine Learning Algorithms

Furqan Rustam, G. Choi, A. Mehmood, 2021, 2021 International Conference on Artificial Intelligence (ICAI).

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

W. Aslam, Furqan Rustam, G. Choi, 2021, PloS one.

Minimizing the Overlapping Degree to Improve Class-Imbalanced Learning Under Sparse Feature Selection: Application to Fraud Detection

Gyu Sang Choi, El Barakaz Fatima, El Moutaouakkil Abdelmajid, 2021, IEEE Access.

Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends

Isabel de la Torre Díez, Wajdi Aljedaani, Furqan Rustam, 2022, Mathematics.

Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors

A. B. Hssane, I. Ashraf, A. Jurcut, 2021, Sensors.

Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning

Adil Ali Saleem, S. Dudley, Ernesto Lee, 2021, Sensors.

Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning

Hafeez-U. R. Siddiqui, Adil Ali Saleem, S. Dudley, 2022, Electronics.

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach

Imran Sarwar Bajwa, Muhammad Ibrahim, Ernesto Lee, 2022, Sensors.

Predicting microbe organisms using data of living micro forms of life and hybrid microbes classifier

I. D. L. T. Díez, Ali Raza, I. Ashraf, 2023, PloS one.

Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach

Begonya García-Zapirain Soto, I. D. L. T. Díez, Ernesto Lee, 2022, Genes.

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Wajdi Aljedaani, Ernesto Lee, Furqan Rustam, 2022, Scientific reports.

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Wajdi Aljedaani, Ernesto Lee, I. Ashraf, 2022, Scientific Reports.

Threatening URDU Language Detection from Tweets Using Machine Learning

I. Ashraf, M. Farooq, Carmen Lili Rodríguez, 2022, Applied Sciences.

Using Aspect-Level Sentiments for Calling App Recommendation with Hybrid Deep-Learning Models

Ke-wen Xia, Furqan Rustam, I. Ashraf, 2022, Applied Sciences.

Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets using Ensemble LSTM-GRU Model

Ernesto Lee, I. Ashraf, N. Aslam, 2022, IEEE Access.

Inquest of Current Situation in Afghanistan Under Taliban Rule Using Sentiment Analysis and Volume Analysis

Ernesto Lee, Furqan Rustam, I. Ashraf, 2022, IEEE Access.

Hotspot-Aware Workload Scheduling and Server Placement for Heterogeneous Cloud Data Centers

Soojung Hur, I. Ashraf, Usama Tahir, 2022, Energies.

Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network

Juan Luís Vidal Mazón, I. D. L. T. Díez, Furqan Rustam, 2022, Diagnostics.

Deepfake tweets classification using stacked Bi-LSTM and words embedding

Furqan Rustam, Imran Ashraf, Vaibhav Rupapara, 2021, PeerJ Comput. Sci..

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

S. Ullah, Ernesto Lee, Furqan Rustam, 2021, Applied Sciences.

Tweets Classification on the Base of Sentiments for US Airline Companies

Gyu Sang Choi, Imran Ashraf, Arif Mehmood, 2019, Entropy.

A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges

R. Boppana, Mubarak Almutairi, Ernesto Lee, 2022, IEEE Access.

Denial of Service Attack Classification Using Machine Learning with Multi-Features

M. F. Mushtaq, A. Jurcut, Furqan Rustam, 2022, Electronics.

Identifying fake job posting using selective features and resampling techniques

Muhammad Abubakar Siddique, S. Ullah, Hina Afzal, 2023, Multimedia Tools and Applications.

Bee detection in bee hives using selective features from acoustic data

Wajdi Aljedaani, Ernesto Lee, I. Ashraf, 2023, Multimedia Tools and Applications.

Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction

K. Munir, Mubarak Almutairi, Furqan Rustam, 2022, Diagnostics.

Employees reviews classification and evaluation (ERCE) model using supervised machine learning approaches

Gyu Sang Choi, Furqan Rustam, Saleem Ullah, 2021, Journal of Ambient Intelligence and Humanized Computing.

COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset

M. Alshammari, Wajdi Aljedaani, Thamer A. Almangour, 2022, Healthcare.

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

Mohamed Wiem Mkaouer, Ilyes Jenhani, Ali Ouni, 2022, Social Network Analysis and Mining.

Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning

I. D. L. T. Díez, Furqan Rustam, I. Ashraf, 2023, Cancers.

Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus

Ernesto Lee, I. Ashraf, A. Mehmood, 2022, PeerJ Computer Science.

Automated disease diagnosis and precaution recommender system using supervised machine learning

G. Choi, A. Mehmood, Imran Ashraf, 2022, Multimedia Tools and Applications.

Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms

I. Ashraf, G. Choi, A. Mehmood, 2022, PeerJ Comput. Sci..

Deep Ensemble-based Efficient Framework for Network Attack Detection

A. Jurcut, Ali Raza, I. Ashraf, 2023, Mediterranean Communication and Computer Networking Conference.

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction

Hafeez-U. R. Siddiqui, Mubarak Almutairi, Ali Raza, 2022, PloS one.

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

Muhammad Imran, Ali Raza, I. Ashraf, 2023, Comput. Secur..

An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features

Adil Ali Saleem, S. Dudley, I. D. L. T. Díez, 2023, Diagnostics.

An Artificial Neural Network Model for Water Quality and Water Consumption Prediction

I. D. L. T. Díez, I. Ashraf, Abid Ishaq, 2022, Water.

Latest concrete materials dataset and ensemble prediction model for concrete compressive strength containing RCA and GGBFS materials

Furqan Rustam, I. Ashraf, Hamza Imran, 2022, Construction and Building Materials.

Spam SMS filtering based on text features and supervised machine learning techniques

Muhammad Abubakar Siddique, S. Ullah, M. F. Mushtaq, 2022, Multimedia Tools and Applications.

Role of Artificial Intelligence in Online Education: A Systematic Mapping Study

Wajdi Aljedaani, Ernesto Lee, Furqan Rustam, 2023, IEEE Access.

Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model

Gyu Sang Choi, Dost Muhammad Khan, Saleem Ullah, 2020, IEEE Access.

Predicting death risk analysis in fully vaccinated people using novel extreme regression-voting classifier

Saima Sadiq, Furqan Rustam, I. Ashraf, 2022, Digital health.

Classification of Shopify App User Reviews Using Novel Multi Text Features

Gyu Sang Choi, Dost Muhammad Khan, Saleem Ullah, 2020, IEEE Access.

Smartphone Inertial Measurement Unit Data Features for Analyzing Driver Driving Behavior

A. Jurcut, I. Ashraf, Khadija Kanwal, 2023, IEEE Sensors Journal.

Non-Invasive Driver Drowsiness Detection System

Sandra Dudley, Furqan Rustam, Ernesto Lee, 2021, Sensors.

Bidirectional encoder representations from transformers and deep learning model for analyzing smartphone-related tweets

Isabel de la Torre Díez, I. Ashraf, Bhargav Mallampati, 2023, PeerJ Computer Science.

Deep Learning-Based Feature Engineering to Detect Anterior and Inferior Myocardial Infarction Using UWB Radar Data

Adil Ali Saleem, Kainat Zafar, H. Siddiqui, 2023, IEEE Access.

A Review of Image Processing Techniques for Deepfakes

Juan Luís Vidal Mazón, Isabel de la Torre Díez, I. D. L. T. Díez, 2022, Sensors.

Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques

Isabel de la Torre Díez, Furqan Rustam, I. Ashraf, 2022, Cancers.

A systematic review of physiological signals based driver drowsiness detection systems

Hafeez-U. R. Siddiqui, Adil Ali Saleem, S. Dudley, 2022, Cognitive Neurodynamics.

Comparative analysis of TF-IDF and loglikelihood method for keywords extraction of twitter data

Mateen Ahmed Abbasi, Urooj Akram, M. F. Mushtaq, 2023, Mehran University Research Journal of Engineering and Technology.

Predicting skin cancer melanoma using stacked convolutional neural networks model

Khwaja Tahseen Ahmed, I. Ashraf, A. Mehmood, 2023, Multimedia Tools and Applications.

An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification

A. Alhossan, Furqan Rustam, G. Choi, 2021, Complex..

Novel extreme regression-voting classifier to predict death risk in vaccinated people using VAERS data

Saima Sadiq, Furqan Rustam, I. Ashraf, 2022, PloS one.

Analyzing patients satisfaction level for medical services using twitter data

I. Ashraf, Juan Luís Vidal Mazón, Muhammad Mujahid, 2024, PeerJ. Computer science.

Predicting bankruptcy of firms using earnings call data and transfer learning

I. D. L. T. Díez, I. Ashraf, B. S. Abajo, 2023, PeerJ Comput. Sci..

Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach

I. D. L. T. Díez, I. Ashraf, Rahman Shafique, 2023, Inf..

Emotion classification using temporal and spectral features from IR-UWB-based respiration data

Hafeez-U. R. Siddiqui, Adil Ali Saleem, S. Dudley, 2022, Multimedia Tools and Applications.

Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology

Abid Ishaq, Shabana Shafi, Aijaz Ahmad Reshi, 2021, Saudi journal of biological sciences.

Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach

Wajdi Aljedaani, Ernesto Lee, Furqan Rustam, 2021, Advances in Astronomy.

Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC)

Gyu Sang Choi, Byung-Won On, Saleem Ullah, 2020, Astron. Comput..

Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model

Gyu Sang Choi, Muhammad Abubakar Siddique, Imran Ashraf, 2021, IEEE Access.

Emotion Detection Using Facial Expression Involving Occlusions and Tilt

Awais Salman Qazi, I. Ashraf, M. Farooq, 2022, Applied Sciences.

A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry

Md Abdus Samad, I. Ashraf, M. Farooq, 2023, Sensors.

Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches

A. Jurcut, F. Rustam, 2023, Comput. Secur..

Feature optimization and machine learning for predicting students’ academic performance in higher education institutions

I. Ashraf, Robina Saleem, Mónica Gracia Villar, 2024, Education and Information Technologies.

Unsupervised statistical image segmentation using bi-dimensional hidden Markov chains model with application to mammography images

A. Nasroallah, Omar Boutkhoum, I. Ashraf, 2023, J. King Saud Univ. Comput. Inf. Sci..

Efficient deep learning-based approach for malaria detection using red blood cell smears

Isabel de la Torre Díez, I. Ashraf, Rahman Shafique, 2024, Scientific reports.

Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence

Santos Gracia Villar, Adil Ali Saleem, M. A. Raza, 2023, Diagnostics.

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence

Adil Ali Saleem, Kainat Zafar, M. A. Raza, 2024, Sensors.

Review prognosis system to predict employees job satisfaction using deep neural network

Gyu Sang Choi, Imran Ashraf, Rahman Shafique, 2021, Comput. Intell..

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

Y. Khan, Isabel de la Torre Díez, Furqan Rustam, 2022, Healthcare.

Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model

Sultan Alfarhood, I. Ashraf, Bhargav Mallampati, 2023, IEEE Access.

Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model

P. Washington, F. Rustam, Imran Ashraf, 2023, PloS one.