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

Muhammad Mujahid, Ernesto Lee, Furqan Rustam, +4

Applied Sciences

E-learningEngineeringMachine LearningSocial Medium MonitoringEducation +23

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

Muhammad Mujahid, Furqan Rustam, Roberto Marcelo Álvarez, +3

Diagnostics

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

Muhammad Mujahid, Erol Kına, Furqan Rustam, +4

Journal Of Big Data

EngineeringMachine LearningText MiningNatural Language ProcessingClassification Method +19

An Efficient Ensemble Approach for Alzheimer’s Disease Detection Using an Adaptive Synthetic Technique and Deep Learning

Muhammad Mujahid, Amjad Rehman, Teg Alam, +3

Diagnostics

EngineeringMachine LearningEfficient Ensemble ApproachEnsemble MethodsMagnetic Resonance Imaging +20

Parkinson’s Disease Detection Using Hybrid LSTM-GRU Deep Learning Model

Amjad Rehman, Tanzila Saba, Muhammad Mujahid, +2

Electronics

Artificial IntelligenceEngineeringMachine LearningIntelligent DiagnosticsVoice Disorders +19

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

Muhammad Mujahid, Furqan Rustam, Rahman Shafique, +4

Scientific Reports

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

R Sudheesh, Muhammad Mujahid, Furqan Rustam, +6

Information

ChatbotEngineeringMachine Learning ApproachCommunicationSemantics +21

Arabic ChatGPT Tweets Classification Using RoBERTa and BERT Ensemble Model

Muhammad Mujahid, Khadija Kanwal, Furqan Rustam, +2

ACM Transactions on Asian and Low-Resource Language Information Processing

EngineeringNegative TweetsBert Ensemble ModelCorpus LinguisticsSentiment Analysis +17

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

R Sudheesh, Muhammad Mujahid, Furqan Rustam, +4

PeerJ Computer Science

EngineeringMachine LearningSocial Medium MonitoringAutoencodersCommunication +18

Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features

Shaha Al‐Otaibi, Muhammad Mujahid, Amjad Rehman, +3

IEEE Access