Conv-MTD: A CNN Based Multi-Label Medical Tubes Detection and Classification Model to Facilitate Resource-Constrained Point-of-Care Devices Moneeb Abbas, Wen-Chung Kuo, Khalid Mahmood, Waseem Akram, Sajid Mehmood, et al. IEEE Journal of Biomedical and Health Informatics, 2026 Computer-aided detection through deep learning is becoming a prevalent approach across various fields, including detection of anomalies in medical procedures. One such medical procedure involves the placement of medical tubes to provide nutrition or other medical procedures in critically ill patients. Medical tube placement can be highly complex and prone to subjective errors. Malposition of medical tubes is often observed, and associated with significant morbidity and mortality. In addition, continuous verification using manual procedures such as capnography, pH testing, auscultation, and visual inspection through chest X-ray (CXR) imaging is required. In this paper, we propose a Conv-MTD, a medical tube detection (MTD) model that detects the placement of medical tubes using CXR images, assisting radiologists with precise identification and categorizing the tubes into normal, abnormal, and borderline placement. Conv-MTD leverages the state-of-the-art EfficientNet-B7 architecture as its backbone, enhanced with auxiliary head in the intermediate layers to mitigate vanishing gradient issues common in deep neural networks. The Conv-MTD is further optimized using post-training 16-bit floating-point (FP16) quantization, which effectively reduces memory consumption and inference latency on resource-constrained devices. Conv-MTD provided the best performance, with an average area under the receiver-operator curve AUC-ROC of 0.95. The proposed Conv-MTD has the potential to operate on resource-constrained point-of-care devices, enabling low-cost and automated assessments in various healthcare settings.
XAI-driven Data Mining for Self-defending IoT Systems: Enhancing Cybersecurity Transparency in the Age of Smart Cities FM Khan, A Zeb, T Rahman, MA Al-Khasawneh, YI Daradkeh, IF Siddiqui, ... Cognitive Computation 18 (1), 16 , 2026 2026 Citations: 2
Autonomous Systems in the Internet of Vehicles B Balusamy, SK Mathivanan, P Jayagopal, SKB Sangeetha, AK Bashir John Wiley & Sons , 2026 2026
Consumer Data Privacy-Aware Federated Orchestration for Communication, Computing, and Control in 6G Consumer Services SDA Shah, AK Bashir, D Kwak, A Salhi, F Ali IEEE Transactions on Consumer Electronics , 2026 2026
Adaptive Negative Scheduling for Graph Contrastive Learning A Ali, J Li, SM Israr, AK Bashir arXiv preprint arXiv:2605.03076 , 2026 2026
Trust Mechanisms in IIoT Software Authenticity: Challenges and Emerging Solutions N Onumah, AK Bashir, MI Biswas, MAU Rehman SEJIC 1 (1) , 2026 2026
Intelligent and secure mobility management for 6g networks: A systematic review of AI-driven and physical-layer solutions T Ali, M Al-Khalidi, AK Bashir Alexandria Engineering Journal 145, 253-286 , 2026 2026
PPWCS: A Strategy for Enhancing Caching Performance in Content-Centric Networking Enabled Consumer IoT Systems S Kumar, R Tiwari, SS Singh, H Shakya, G Kumar, AK Bashir IEEE Transactions on Consumer Electronics , 2026 2026
LLM-enabled adaptive scheduling in IoT sensing for optimized network performance: MN Khan et al. MN Khan, S Lee, SS Lee, M Shah, I Ullah, S Basheer, AK Bashir Scientific Reports 16 (1), 13007 , 2026 2026 Citations: 1
Blockchain Incentivized Federated Learning for IoT Networks R Al-Zaidi, M Al-Khalidi, JC Woods, AK Bashir IEEE Internet of Things Magazine , 2026 2026
Robust μ-Channel Estimation for IoT and 6G Edge Devices via Defensive Distillation T Ali, M Al-Khalidi, AK Bashir, NS Alghamdi IEEE Internet of Things Journal , 2026 2026
PHyena–DurCRF: A Quantum-Inspired, Edge-Efficient Analytics Framework for Human-Centric Wearable Sensing RK Rai, DK Singh, SR Hukampal, RH Alsisi, AK Bashir IEEE Transactions on Consumer Electronics , 2026 2026
A Blockchain-Assisted Quantum Encryption Scheme for Secure Communication in Internet of Things Networks S Prajapat, AK Bashir IEEE Internet of Things Magazine , 2026 2026
Swarm Smarts: Enabling Real-Time Self-Healing With TinyML at the Edge H Wu, J Zhang, M Feng, M Dai, S Mohiuddin, AK Bashir, S Mumtaz, J Pei IEEE Communications Standards Magazine , 2026 2026
Root of trust: survey, taxonomy, and open challenges NF Al-Otaiby, M Hammoudeh, J Hassine, AK Bashir Telecommunication Systems 89 (1), 39 , 2026 2026
GenAI and LLMs for Beyond 5G Networks S Singh, MR Kanagarathinam, MR GNS, Y Wu, N Saxena, AKR Chavva, ... Springer Nature , 2026 2026 Citations: 1
Distributed Federated Learning-Based AIOT Framework for Secure High Speed H Byeon¹, A AlGhamdi, I Keshta, M Soni, M Shabaz, MA Khan, AK Bashir Proceedings of Fifth International Conference on Computing and Communication … , 2026 2026
Spatial Reasoning and Risk Assessment for Autonomous Vehicles on Consumer Electronics Platforms Using a Customized Vision–Language Model with Data Augmentation Z Song, J Yang, L Fang, MU Ali, G Kumar, AK Bashir, N Alturki, LY Por, ... IEEE Transactions on Consumer Electronics , 2026 2026
Next-Gen Networks for the Internet of Consumer Electronics: A Survey G Kumar, VK Sharma, V Chamola, AK Bashir IEEE Consumer Electronics Magazine , 2026 2026
Federated Deep Learning for Collision Avoidance in IoV With Digital Twin Integration FM Khan, A Zeb, T Rahman, I Ullah, N Alturki, AK Bashir, Y El Touati, ... Expert Systems 43 (1), e70168 , 2026 2026 Citations: 4
Verifiable Credential-Based Access Control for Interoperable Crowdsourced Drone Services J Akram, A Akram, A Anaissi, RH Jhaveri, AK Bashir, MM Al Dabel IEEE Transactions on Consumer Electronics , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM) H Rafique, AO Almagrabi, A Shamim, F Anwar, AK Bashir Computers & Education 145 , 2020 2020 Citations: 788
Corrauc: a malicious bot-iot traffic detection method in iot network using machine learning techniques M Shafiq, Z Tian, AK Bashir, X Du, M Guizani IEEE Internet of Things Journal 8 (5), 3242 - 3254 , 2021 2021 Citations: 662
COVID-19 patient health prediction using boosted random forest algorithm C Iwendi, AK Bashir, A Peshkar, R Sujatha, JM Chatterjee, S Pasupuleti, ... Frontiers in public health 8, 357 , 2020 2020 Citations: 617
A critical cybersecurity analysis and future research directions for the internet of things: a comprehensive review U Tariq, I Ahmed, AK Bashir, K Shaukat sensors 23 (8), 4117 , 2023 2023 Citations: 465
DITrust Chain: Towards Blockchain-based Trust Models for Sustainable Healthcare IoT Systems EA Nasser, AM Iliyasu, PM Kafrawy, OH Song, AK Bashir, AAE Latif. IEEE Access 8, 111223-111238 , 2020 2020 Citations: 391
A Metaheuristic Optimization Approach for Energy Efficiency in the IoT Networks. C Iwendi, PK Reddy, T Reddy, K Lakshmanna, AK Bashir, MJ Piran Software: Practice and Experience , 2020 2020 Citations: 326
IoT malicious traffic identification using wrapper-based feature selection mechanisms M Shafiq, Z Tian, AK Bashir, X Du, M Guizani Computers & Security 94, 101863 , 2020 2020 Citations: 324
Learning-Based Context-Aware Resource Allocation for Edge Computing-Empowered Industrial IoT H Liao, Z Zhou, X Zhao, S Mumtaz, A Jolfaei, SH Ahmed, AK Bashir IEEE Internet of Things Journal , 2020 2020 Citations: 321
Securing critical infrastructures: Deep-learning-based threat detection in IIoT K Yu, L Tan, S Mumtaz, S Al-Rubaye, A Al-Dulaimi, AK Bashir, FA Khan IEEE Communications Magazine 59 (10), 76-82 , 2021 2021 Citations: 307
Realizing an efficient IoMT-assisted Patient Diet Recommendation System through Machine Learning Model. C Iweni, S Khan, JH Anajemba, AK Bashir, F Noor. IEEE Access , 2020 2020 Citations: 298
Data mining and machine learning methods for sustainable smart cities traffic classification: A survey M Shafiq, Z Tian, AK Bashir, A Jolfaei, X Yu Sustainable Cities and Society 60, 102177 , 2020 2020 Citations: 273
A Survey on Resource Management in IoT Operating Systems A Musaddiq, Y Bin Zikria, O Hahm, H Yu, AK Bashir, SW and Kim IEEE Access 6, 8459-8482 , 2018 2018 Citations: 261
Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN RMA Ujjana, Z Pervez, K Dahal, AK Bashir, R Mumtaz, J González Future Generation Computer Systems 111, 763-779 , 2020 2020 Citations: 254
Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach C Feng, K Yu, AK Bashir, YD Al-Otaibi, Y Lu, S Chen, D Zhang IEEE Network 35 (1), 130-137 , 2021 2021 Citations: 253
Energy-efficient random access for LEO satellite-assisted 6G internet of remote things L Zhen, AK Bashir, K Yu, YD Al-Otaibi, CH Foh, P Xiao IEEE Internet of Things Journal 8 (7), 5114-5128 , 2020 2020 Citations: 249
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach L Tan, K Yu, AK Bashir, X Cheng, F Ming, L Zhao, X Zhou Neural Computing and Applications 35 (19), 13921-13934 , 2023 2023 Citations: 231
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges and Perspectives. KZ Ghafoor, L Kong, S Zeadally, AS Sadiq, G Epiphniou, M Hammoudeh, ... IEEE Internet of Things Journal , 2020 2020 Citations: 225
Energy-aware marine predators algorithm for task scheduling in IoT-based fog computing applications M Abdel-Basset, R Mohamed, M Elhoseny, AK Bashir, A Jolfaei, N Kumar IEEE Transactions on Industrial Informatics 17 (7), 5068-5076 , 2020 2020 Citations: 224
A Review on Classification of Imbalanced Data for Wireless Sensor Networks. H Patel, DS Rajput, GT Reddy, C Iwendi, AK Bashir, O Jo. International Journal of Distributed Sensor Networks , 2020 2020 Citations: 216
Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions AK Bashir, N Victor, S Bhattacharya, T Huynh-The, R Chengoden, ... IEEE Internet of Things Journal 10 (24), 21873-21891 , 2023 2023 Citations: 213