Tweets Classification on the Base of Sentiments for US Airline Companies. - Furqan Rustam; Imran Ashraf; Arif Mehmood; Saleem Ullah; Gyu Sang Choi (Entropy, 2019)

Classification of Shopify App User Reviews Using Novel Multi Text Features. - Furqan Rustam; Arif Mehmood; Muhammad Ahmad; Saleem Ullah; Dost Muhammad Khan; Gyu Sang Choi (IEEE Access, 2020)

Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model. - Furqan Rustam; Aijaz Ahmad Reshi; Imran Ashraf; Arif Mehmood; Saleem Ullah; Dost Muhammad Khan; Gyu Sang Choi (IEEE Access, 2020)

COVID-19 Future Forecasting Using Supervised Machine Learning Models. - Furqan Rustam; Aijaz Ahmad Reshi; Arif Mehmood; Saleem Ullah; Byung-Won On; Waqar Aslam; Gyu Sang Choi (IEEE Access, 2020)

Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC). - Furqan Rustam; Arif Mehmood; Saleem Ullah; Muhammad Ahmad; Dost Muhammad Khan; Gyu Sang Choi; Byung-Won On (Astron. Comput., 2020)

US Based COVID-19 Tweets Sentiment Analysis Using TextBlob and Supervised Machine Learning Algorithms. - Rashid Khan; Furqan Rustam; Khadija Kanwal; Arif Mehmood; Gyu Sang Choi (ICAI, 2021)

Learning Sentiment Analysis for Accessibility User Reviews. - Wajdi Aljedaani; Furqan Rustam; Stephanie Ludi; Ali Ouni 001; Mohamed Wiem Mkaouer (ASE Workshops, 2021)

Minimizing the Overlapping Degree to Improve Class-Imbalanced Learning Under Sparse Feature Selection: Application to Fraud Detection. - Fatima El Barakaz; Omar Boutkhoum; Abdelmajid El Moutaouakkil; Furqan Rustam; Arif Mehmood; Gyu Sang Choi (IEEE Access, 2021)

Integrating Learning Analytics and Collaborative Learning for Improving Student's Academic Performance. - Adnan Rafique; Muhammad Salman Khan; Muhammad Hasan Jamal; Mamoona Tasadduq; Furqan Rustam; Ernesto Lee; Patrick Bernard Washington; Imran Ashraf (IEEE Access, 2021)

Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model. - Vaibhav Rupapara; Furqan Rustam; Hina Fatima Shahzad; Arif Mehmood; Imran Ashraf; Gyu Sang Choi (IEEE Access, 2021)

Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model. - Furqan Rustam; Muhammad Abubakar Siddique; Hafeez Ur Rehman Siddiqui; Saleem Ullah; Arif Mehmood; Imran Ashraf; Gyu Sang Choi (IEEE Access, 2021)

Determining the Efficiency of Drugs Under Special Conditions From Users' Reviews on Healthcare Web Forums. - Eysha Saad; Sadia Din; Ramish Jamil; Furqan Rustam; Arif Mehmood; Imran Ashraf; Gyu Sang Choi (IEEE Access, 2021)

Review prognosis system to predict employees job satisfaction using deep neural network. - Furqan Rustam; Imran Ashraf; Rahman Shafique; Arif Mehmood; Saleem Ullah; Gyu Sang Choi (Comput. Intell., 2021)

An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification. - Aijaz Ahmad Reshi; Furqan Rustam; Arif Mehmood; Abdulaziz Alhossan; Ziyad Alrabiah; Ajaz Ahmad; Hessa Alsuwailem; Gyu Sang Choi (Complex., 2021)

Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model. - Ramish Jamil; Imran Ashraf; Furqan Rustam; Eysha Saad; Arif Mehmood; Gyu Sang Choi (PeerJ Comput. Sci., 2021)

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms. - Aijaz Ahmad Reshi; Imran Ashraf; Furqan Rustam; Hina Fatima Shahzad; Arif Mehmood; Gyu Sang Choi (PeerJ Comput. Sci., 2021)

Deepfake tweets classification using stacked Bi-LSTM and words embedding. - Vaibhav Rupapara; Furqan Rustam; Aashir Amaar; Patrick Bernard Washington; Ernesto Lee; Imran Ashraf (PeerJ Comput. Sci., 2021)

Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors. - Hayat Khaloufi; Karim Abouelmehdi; Abderrahim Beni Hssane; Furqan Rustam; Anca Delia Jurcut; Ernesto Lee; Imran Ashraf (Sensors, 2021)

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. - Rahman Shafique; Hafeez Ur Rehman Siddiqui; Furqan Rustam; Saleem Ullah; Muhammad Abubakar Siddique; Ernesto Lee; Imran Ashraf; Sandra E. M. Dudley (Sensors, 2021)

Non-Invasive Driver Drowsiness Detection System. - Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Robert A. Brown; Bahattin Bademci; Ernesto Lee; Furqan Rustam; Sandra E. M. Dudley (Sensors, 2021)

Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning. - Hafeez Ur Rehman Siddiqui; Hina Fatima Shahzad; Adil Ali Saleem; Abdul Baqi Khan Khakwani; Furqan Rustam; Ernesto Lee; Imran Ashraf; Sandra E. M. Dudley (Sensors, 2021)

Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model. - Naila Aslam; Furqan Rustam; Ernesto Lee; Patrick Bernard Washington; Imran Ashraf (IEEE Access, 2022)

A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. - Rajasekhar Chaganti; Rajendra V. Boppana; Vinayakumar Ravi; Kashif Munir; Mubarak Almutairi; Furqan Rustam; Ernesto Lee; Imran Ashraf (IEEE Access, 2022)

Inquest of Current Situation in Afghanistan Under Taliban Rule Using Sentiment Analysis and Volume Analysis. - Ernesto Lee; Furqan Rustam; Imran Ashraf; Patrick Bernard Washington; Manideep Narra; Rahman Shafique (IEEE Access, 2022)

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model. - Ernesto Lee; Furqan Rustam; Patrick Bernard Washington; Fatima El Barakaz; Wajdi Aljedaani; Imran Ashraf (IEEE Access, 2022)

Optimization of Imbalanced and Multidimensional Learning Under Bayes Minimum Risk and Savings Measure. - Fatima El Barakaz; Omar Boutkhoum; Mohamed Hanine; Abdelmajid El Moutaouakkil; Furqan Rustam; Sadia Din; Imran Ashraf (Big Data, 2022)

Employees reviews classification and evaluation (ERCE) model using supervised machine learning approaches. - Muhammad Saqlain Rehan; Furqan Rustam; Saleem Ullah; Safdar Hussain; Arif Mehmood; Gyu Sang Choi (J. Ambient Intell. Humaniz. Comput., 2022)

Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry. - Wajdi Aljedaani; Furqan Rustam; Mohamed Wiem Mkaouer; Abdullatif Ghallab; Vaibhav Rupapara; Patrick Bernard Washington; Ernesto Lee; Imran Ashraf (Knowl. Based Syst., 2022)

Spam SMS filtering based on text features and supervised machine learning techniques. - Muhammad Adeel Abid; Saleem Ullah; Muhammad Abubakar Siddique; Muhammad Faheem Mushtaq; Wajdi Aljedaani; Furqan Rustam (Multim. Tools Appl., 2022)

Automated disease diagnosis and precaution recommender system using supervised machine learning. - Furqan Rustam; Zainab Imtiaz; Arif Mehmood; Vaibhav Rupapara; Gyu Sang Choi; Sadia Din; Imran Ashraf (Multim. Tools Appl., 2022)

Detection of Fake Job Postings by Utilizing Machine Learning and Natural Language Processing Approaches. - Aashir Amaar; Wajdi Aljedaani; Furqan Rustam; Saleem Ullah; Vaibhav Rupapara; Stephanie Ludi (Neural Process. Lett., 2022)

Self voting classification model for online meeting app review sentiment analysis and topic modeling. - Naila Aslam; Kewen Xia; Furqan Rustam; Ernesto Lee; Imran Ashraf (PeerJ Comput. Sci., 2022)

Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms. - Muhammad Zaid Naeem; Furqan Rustam; Arif Mehmood; Mui-Zzud-Din; Imran Ashraf; Gyu Sang Choi (PeerJ Comput. Sci., 2022)

Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus. - Adnan Rafique; Furqan Rustam; Manideep Narra; Arif Mehmood; Ernesto Lee; Imran Ashraf (PeerJ Comput. Sci., 2022)

Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. - Rajasekhar Chaganti; Furqan Rustam; Talal Daghriri; Isabel de la Torre Díez; Juan Luís Vidal Mazón; Carmen Lili Rodríguez; Imran Ashraf (Sensors, 2022)

Nested Bee Hive: A Conceptual Multilayer Architecture for 6G in Futuristic Sustainable Smart Cities. - Muhammad Shoaib Farooq 001; Rana Muhammad Nadir; Furqan Rustam; Soojung Hur; Yongwan Park; Imran Ashraf (Sensors, 2022)

Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics. - Muhammad Shoaib Farooq 001; Maryam Suhail; Junaid Nasir Qureshi; Furqan Rustam; Isabel de la Torre Díez; Juan Luís Vidal Mazón; Carmen Lili Rodríguez; Imran Ashraf (Sensors, 2022)

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach. - Muhammad Shadab Alam Hashmi; Muhammad Ibrahim 003; Imran Sarwar Bajwa; Hafeez Ur Rehman Siddiqui; Furqan Rustam; Ernesto Lee; Imran Ashraf (Sensors, 2022)

A Review of Image Processing Techniques for Deepfakes. - Hina Fatima Shahzad; Furqan Rustam; Emmanuel Soriano Flores; Juan Luís Vidal Mazón; Isabel de la Torre Díez; Imran Ashraf (Sensors, 2022)

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. - Wajdi Aljedaani; Ibrahem Abuhaimed; Furqan Rustam; Mohamed Wiem Mkaouer; Ali Ouni 001; Ilyes Jenhani (Soc. Netw. Anal. Min., 2022)

Deep Ensemble-based Efficient Framework for Network Attack Detection. - Furqan Rustam; Ali Raza; Imran Ashraf; Anca Delia Jurcut (MedComNet, 2023)

Securing Multi-Environment Networks using Versatile Synthetic Data Augmentation Technique and Machine Learning Algorithms. - Furqan Rustam; Anca Delia Jurcut; Wajdi Aljedaani; Imran Ashraf (PST, 2023)

Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model. - Bhargav Mallampati; Abid Ishaq; Furqan Rustam; Venu Kuthala; Sultan Alfarhood; Imran Ashraf (IEEE Access, 2023)

Preventing Crimes Through Gunshots Recognition Using Novel Feature Engineering and Meta-Learning Approach. - Ali Raza; Furqan Rustam; Bhargav Mallampati; Pradeep Gali; Imran Ashraf (IEEE Access, 2023)

Role of Artificial Intelligence in Online Education: A Systematic Mapping Study. - Rahman Shafique; Wajdi Aljedaani; Furqan Rustam; Ernesto Lee; Arif Mehmood; Gyu Sang Choi (IEEE Access, 2023)

Deep Learning-Based Feature Engineering to Detect Anterior and Inferior Myocardial Infarction Using UWB Radar Data. - Kainat Zafar; Hafeez Ur Rehman Siddiqui; Abdul Majid; Adil Ali Saleem; Ali Raza; Furqan Rustam; Sandra E. M. Dudley (IEEE Access, 2023)

Drug Usage Safety from Drug Reviews with Hybrid Machine Learning Approach. - Ernesto Lee; Furqan Rustam; Hina Fatima Shahzad; Patrick Bernard Washington; Abid Ishaq; Imran Ashraf (Comput. Syst. Sci. Eng., 2023)

Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier. - Vaibhav Rupapara; Furqan Rustam; Abid Ishaq; Ernesto Lee; Imran Ashraf (Intell. Autom. Soft Comput., 2023)

Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach. - Sudheesh R; Muhammad Mujahid; Furqan Rustam; Rahman Shafique; Venkata Chunduri 001; Mónica Gracia Villar; Julien Brito Ballester; Isabel de la Torre Díez; Imran Ashraf (Inf., 2023)

Fake news detection in Urdu language using machine learning. - Muhammad Shoaib Farooq 001; Ansar Naseem; Furqan Rustam; Imran Ashraf (PeerJ Comput. Sci., 2023)

What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets. - Muhammad Mujahid; Furqan Rustam; Fahad Alasim; Muhammad Abubakar Siddique; Imran Ashraf (PeerJ Comput. Sci., 2023)

Bidirectional encoder representations from transformers and deep learning model for analyzing smartphone-related tweets. - Sudheesh R; Muhammad Mujahid; Furqan Rustam; Bhargav Mallampati; Venkata Chunduri 001; Isabel de la Torre Díez; Imran Ashraf (PeerJ Comput. Sci., 2023)

Predicting bankruptcy of firms using earnings call data and transfer learning. - Hafeez Ur Rehman Siddiqui; Beatriz Sainz de Abajo; Isabel de la Torre Díez; Furqan Rustam; Muhammad Amjad Raza; Sajjad Atta; Imran Ashraf (PeerJ Comput. Sci., 2023)

Malware detection using image representation of malware data and transfer learning. - Furqan Rustam; Imran Ashraf; Anca Delia Jurcut; Ali Kashif Bashir; Yousaf Bin Zikria (J. Parallel Distributed Comput., 2023)

Image Watermarking Using Least Significant Bit and Canny Edge Detection. - Zaid Bin Faheem; Abid Ishaq; Furqan Rustam; Isabel de la Torre Díez; Daniel Gavilanes; Manuel Masias Vergara; Imran Ashraf (Sensors, 2023)

Emotion classification using temporal and spectral features from IR-UWB-based respiration data. - Hafeez Ur Rehman Siddiqui; Kainat Zafar; Adil Ali Saleem; Muhammad Amjad Raza; Sandra E. M. Dudley; Furqan Rustam; Imran Ashraf (Multim. Tools Appl., 2023)

Detecting ham and spam emails using feature union and supervised machine learning models. - Furqan Rustam; Najia Saher; Arif Mehmood; Ernesto Lee; Sandrilla Washington; Imran Ashraf (Multim. Tools Appl., 2023)

Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data. - Furqan Rustam; Abid Ishaq; Muhammad Shadab Alam Hashmi; Hafeez Ur Rehman Siddiqui; Luis Alonso Dzul López; Juan Castanedo Galán; Imran Ashraf (Sensors, 2023)

Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. - Hafeez Ur Rehman Siddiqui; Faizan Younas; Furqan Rustam; Emmanuel Soriano Flores; Julien Brito Ballester; Isabel de la Torre Díez; Sandra E. M. Dudley; Imran Ashraf (Sensors, 2023)

Arabic ChatGPT Tweets Classification Using RoBERTa and BERT Ensemble Model. - Muhammad Mujahid; Khadija Kanwal; Furqan Rustam; Wajdi Aljedaani; Imran Ashraf (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach. - Kainat Zafar; Hafeez Ur Rehman Siddiqui; Abdul Majid; Furqan Rustam; Sultan Alfarhood; Mejdl S. Safran; Imran Ashraf (Sensors, 2023)

Coal mining accident causes classification using voting-based hybrid classifier (VHC). - Ali Javaid; Muhammad Abubakar Siddique; Aijaz Ahmad Reshi; Mui-Zzud-Din; Furqan Rustam; Ernesto Lee; Vaibhav Rupapara (J. Ambient Intell. Humaniz. Comput., 2023)

Unsupervised statistical image segmentation using bi-dimensional hidden Markov chains model with application to mammography images. - Abdelali Joumad; Abdelmajid El Moutaouakkil; Abdelaziz Nasroallah; Omar Boutkhoum; Furqan Rustam; Imran Ashraf (J. King Saud Univ. Comput. Inf. Sci., 2023)

Performance evaluation of machine learning models on large dataset of android applications reviews. - Ali Adil Qureshi; Maqsood Ahmad 004; Saleem Ullah; Muhammad Naveed Yasir; Furqan Rustam; Imran Ashraf (Multim. Tools Appl., 2023)

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems. - Muhammad Ali Imran 001; Hafeez Ur Rehman Siddiqui; Ali Raza; Muhammad Amjad Raza; Furqan Rustam; Imran Ashraf (Comput. Secur., 2023)

A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry. - Muhammad Shoaib Farooq 001; Muhammad Abdullah; Shamyla Riaz; Atif Alvi; Furqan Rustam; Miguel Angel López Flores; Juan Castanedo Galán; Md Abdus Samad; Imran Ashraf (Sensors, 2023)

IoT networks attacks detection using multi-novel features and extra tree random - voting ensemble classifier (ER-VEC). - Ayesha Sarwar; Muhammad Faheem Mushtaq; Urooj Akram; Furqan Rustam; Ameer Hamza; Vaibhav Rupapara; Saleem Ullah (J. Ambient Intell. Humaniz. Comput., 2023)

Pragmatic evidence of cross-language link detection: A systematic literature review. - Saira Latif; Zaigham Mushtaq; Ghulam Rasool 002; Furqan Rustam; Naila Aslam; Imran Ashraf (J. Syst. Softw., 2023)

AI on the Defensive and Offensive: Securing Multi-Environment Networks from AI Agents. - Furqan Rustam; Pasika Ranaweera; Anca Delia Jurcut (ICC, 2024)

Dual-Approach Machine Learning for Robust Cyber-Attack Detection in Water Distribution System. - Furqan Rustam; Md. Salauddin; Usman Saeed; Anca Delia Jurcut (IoT, 2024)

Enhancing In-Vehicle Network Security Against AI-Generated Cyberattacks Using Machine Learning. - Rahman Shafique; Furqan Rustam; Gyu Sang Choi; Anca Delia Jurcut (WCNC, 2024)

Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets. - Madiha Khalid; Ali Raza; Faizan Younas; Furqan Rustam; Mónica Gracia Villar; Imran Ashraf; Adnan Akhtar (IEEE Access, 2024)

A Novel Approach for Real-Time Server-Based Attack Detection Using Meta-Learning. - Furqan Rustam; Ali Raza; Muhammad Qasim; Sarath Kumar Posa; Anca Delia Jurcut (IEEE Access, 2024)

Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity. - Rahman Shafique; Furqan Rustam; Sheriff Murtala; Anca Delia Jurcut; Gyu Sang Choi (IEEE Access, 2024)

Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques. - Hafeez Ur Rehman Siddiqui; Riccardo Russo; Adil Ali Saleem; Sandra E. M. Dudley; Furqan Rustam (IEEE Access, 2024)

FAMTDS: A novel MFO-based fully automated malicious traffic detection system for multi-environment networks. - Furqan Rustam; Wajdi Aljedaani; Mahmoud Said Elsayed; Anca Delia Jurcut (Comput. Networks, 2024)

Bee detection in bee hives using selective features from acoustic data. - Furqan Rustam; Muhammad Zahid Sharif; Wajdi Aljedaani; Ernesto Lee; Imran Ashraf (Multim. Tools Appl., 2024)

Analyzing patients satisfaction level for medical services using twitter data. - Muhammad Usman; Muhammad Mujahid; Furqan Rustam; Emmanuel Soriano Flores; Juan Luís Vidal Mazón; Isabel de la Torre Díez; Imran Ashraf (PeerJ Comput. Sci., 2024)

Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches. - Furqan Rustam; Anca Delia Jurcut (Comput. Secur., 2024)

Predicting skin cancer melanoma using stacked convolutional neural networks model. - Mui-Zzud-Din; Khwaja Tahseen Ahmed; Furqan Rustam; Arif Mehmood; Imran Ashraf; Gyu Sang Choi (Multim. Tools Appl., 2024)

Identifying fake job posting using selective features and resampling techniques. - Hina Afzal; Furqan Rustam; Wajdi Aljedaani; Muhammad Abubakar Siddique; Saleem Ullah; Imran Ashraf (Multim. Tools Appl., 2024)

Incorporating Word Embedding and Hybrid Model Random Forest Softmax Regression for Predicting News Categories. - Saima Khosa; Furqan Rustam; Arif Mehmood; Gyu Sang Choi; Imran Ashraf (Multim. Tools Appl., 2024)

Artificial intelligence-based myocardial infarction diagnosis: a comprehensive review of modern techniques. - Hafeez Ur Rehman Siddiqui; Kainat Zafar; Adil Ali Saleem; Rukhshanda Sehar; Furqan Rustam; Sandra E. M. Dudley; Imran Ashraf (Multim. Tools Appl., 2024)

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. - Hafeez Ur Rehman Siddiqui; Ambreen Akmal; Muhammad Iqbal; Adil Ali Saleem; Muhammad Amjad Raza; Kainat Zafar; Aqsa Zaib; Sandra E. M. Dudley; Jon Arambarri; Ángel Kuc Castilla; Furqan Rustam (Sensors, 2024)

Feature optimization and machine learning for predicting students' academic performance in higher education institutions. - Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Mónica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Díez; Imran Ashraf (Educ. Inf. Technol., 2024)

Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution. - Punit Gupta; Furqan Rustam; Khadija Kanwal; Wajdi Aljedaani; Sultan Alfarhood; Mejdl S. Safran; Imran Ashraf (Int. J. Comput. Intell. Syst., 2024)

Fake news detection using enhanced features through text to image transformation with customized models. - Furqan Rustam; Wajdi Aljedaani; Anca Delia Jurcut; Sultan Alfarhood; Mejdl S. Safran; Imran Ashraf (Discov. Comput., 2024)

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering. - Muhammad Mujahid; Erol Kina; Furqan Rustam; Mónica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Díez; Imran Ashraf (J. Big Data, 2024)

GSPO-LAD: A Graph Neural Network-Based Sensor Placement and Anomaly Detection in Water Distribution Systems. - Furqan Rustam; Anca Delia Jurcut; Md. Salauddin (IEEE Access, 2025)

Ventilator pressure prediction employing voting regressor with time series data of patient breaths. - Ali Raza; Furqan Rustam; Hafeez Ur Rehman Siddiqui; Emmanuel Soriano Flores; Juan Luís Vidal Mazón; Isabel de la Torre Díez; Maria Asunción Vicente; Imran Ashraf (Health Informatics J., 2025)

Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach. - Rahman Shafique; Ahmad Sami Al-Shamayleh; Sarath Kumar Posa; Abid Ishaq; Furqan Rustam; Gyu Sang Choi (Knowl. Based Syst., 2025)

MULTI-LF: A Unified Continuous Learning Framework for Real-Time DDoS Detection in Multi-Environment Networks. - Furqan Rustam; Islam Obaidat; Anca Delia Jurcut (CoRR, 2025)