RFID Localisation For Internet Of Things Smart Homes: A Survey. - Belal Alsinglawi; Mahmoud Elkhodr; Quang Vinh Nguyen; Upul Gunawardana; Anthony J. Maeder; Simeon J. Simoff (CoRR, 2017)

Data Provenance in the Internet of Things. - Mahmoud Elkhodr; Belal Alsinglawi; Mohammad Dahman Alshehri (AINA Workshops, 2018)

A Distributed Trust Management Model for the Internet of Things (DTM-IoT). - Mohammad Dahman Alshehri; Farookh Khadeer Hussain; Mahmoud Elkhodr; Belal Saeed Alsinglawi (Recent Trends and Advances in Wireless and IoT-enabled Networks, 2019)

Passive RFID Localization in the Internet of Things. - Belal Saeed Alsinglawi; Quang Vinh Nguyen; Upul Gunawardana; Simeon Simoff; Anthony J. Maeder; Mahmoud Elkhodr; Mohammad Dahman Alshehri (Recent Trends and Advances in Wireless and IoT-enabled Networks, 2019)

Predictive Analytics and Deep Learning Techniques in Electronic Medical Records: Recent Advancements and Future Direction. - Belal Alsinglawi; Omar Mubin (AINA Workshops, 2019)

Source Codes Classification Using a Modified Instruction Count Pass. - Omar Darwish 001; Majdi Maabreh; Ola Karajeh; Belal Alsinglawi (AINA Workshops, 2019)

Benchmarking Predictive Models in Electronic Health Records: Sepsis Length of Stay Prediction. - Belal Alsinglawi; Fady Alnajjar; Omar Mubin; Mauricio Novoa; Ola Karajeh; Omar Darwish 001 (AINA, 2020)

Survey of Educational Cyber Ranges. - Omar Darwish 001; Christopher M. Stone; Ola Karajeh; Belal Alsinglawi (AINA Workshops, 2020)

Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach. - Belal Alsinglawi; Fady Alnajjar; Omar Mubin; Mauricio Novoa; Mohammed Alorjani; Ola Karajeh; Omar Darwish 001 (EMBC, 2020)

Data provenance and trust establishment in the Internet of Things. - Mahmoud Elkhodr; Belal Alsinglawi (Secur. Priv., 2020)

A Cloud-Based Mobile Application for Women with Gestational Diabetes. - Mahmoud Elkhodr; Shobana Ashokkumar; Belal Alsinglawi; Omar Darwish 001; Ola Karajeh; Ergun Gide (AINA (3), 2021)

Enhancing Robots Navigation in Internet of Things Indoor Systems. - Yahya M. Tashtoush; Israa Haj-Mahmoud; Omar Darwish 001; Majdi Maabreh; Belal Alsinglawi; Mahmoud Elkhodr; Nasser Alsaedi (Comput., 2021)

A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets. - Ola Karajeh; Dirar A. Darweesh; Omar Darwish 001; Noor Abu-El-Rub; Belal Alsinglawi; Nasser Alsaedi (Future Internet, 2021)

Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities. - Belal Alsinglawi; Lihong Zheng; Muhammad Ashad Kabir; Md Zahidul Islam 001; Dave Swain; Will Swain (AINA (3), 2022)

eDeepRFID-IPS: Enhanced RFID Indoor Positioning with Deep Learning for Internet of Things. - Belal Alsinglawi; Khaled M. Rabie (AINA (2), 2023)

Indoor Positioning Using Wi-Fi and Machine Learning for Industry 5.0. - Inoj Neupane; Belal Alsinglawi; Khaled M. Rabie (PerCom Workshops, 2023)

DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer. - Abeer Alsadoon; Ghazi Al-Naymat; Ahmed Hamza Osman; Belal Alsinglawi; Majdi Maabreh; Md. Rafiqul Islam 001 (Multim. Tools Appl., 2023)

A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models. - Belal Alsinglawi; Omar Mubin; Fady Alnajjar; Khalid Kheirallah; Mahmoud Elkhodr; Mohammed Al-Zobbi; Mauricio Novoa; Mudassar Arsalan; Tahmina Nasrin Poly; Munkhjargal Gochoo; Gulfaraz Khan; Kapal Dev (Neural Comput. Appl., 2023)

Ensemble-based Cyber Intrusion Detection for Robust Smart City Protection. - Alaa Alhowaide; Izzat Alsmadi; Belal Alsinglawi (DCOSS-IoT, 2024)

Predicting Hospital Stay Length Using Explainable Machine Learning. - Belal Saeed Alsinglawi; Fady Alnajjar; Mohammed Alorjani; Osama Mohammed Al-Shari; Mauricio Novoa; Omar Mubin (IEEE Access, 2024)

Landscape of sign language research based on smartphone apps: coherent literature analysis, motivations, open challenges, recommendations and future directions for app assessment. - Dianes David; Abdullah Hussein Alamoodi; Osamah Shihab Albahri; B. B. Zaidan; A. A. Zaidan 001; Salem Garfan; Amelia Ritahani Ismail; Ahmed Shihab Albahri; Belal Alsinglawi; Rami Qays Malik (Univers. Access Inf. Soc., 2024)

A Lightweight Deep Learning Model for Retinopathy of Prematurity Classification in eHealth Applications. - Neazmul Mowla; Md. Najmul Mowla; Khaled M. Rabie; Belal Alsinglawi (IWCMC, 2025)

A Lightweight Large Vision-language Model for Multimodal Medical Images. - Belal Alsinglawi; Chris McCarthy; Sara Webb; Christopher Fluke; Navid Toosy Saidy (CoRR, 2025)

DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification. - Chihan Huang; Belal Alsinglawi; Islam Al-Qudah (CoRR, 2025)