• A Goal-Oriented Fault Tolerance Software Enhanced by Critical Information Code Protection 

  Alban, Ahmad Qadeib; Jaoua, Ali ( IEEE Computer Society , 2020 , Conference paper)

  Currently, during runtime, programs are mostly uncontrollable objects. They are very vulnerable to either transient or permanent, external, or internal contaminations of the program state. Here one finds a new method that ...
• Message from the General Chairs 

  Boukerche, Azzeddine; Younis, Mohamed; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)

  Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
• A home appliance control system with hand gesture based on pose estimation 

  Muranaka, Yuuki; Al-Sada, Mohammed; Nakajima, Tatsuo ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference paper)

  Home appliances play a large role in our daily lives. However, with the increase of appliances, each require a dedicated remote controller, which can be cumbersome to users. Existing solutions have the shortcoming of ...
• 

  RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos 

  Baccour, Emna; Erbad, Aiman; Mohamed, Amr; Haouari, Fatima; Guizani, Mohsen; Hamdi, Mounir... more authors ... less authors ( Elsevier , 2020 , Article)

  With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have witnessed unexpected ...
• Space-Ground Integrated Information Network Enabled Internet of Vehicles: Architecture and Key Mechanisms 

  Zhang, Xiaoya; Dong, Ping; Du, Xiaojiang; Zhang, Hongke; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)

  Despite the emerging network technologies such as 5G, edge computing, and cloud computing growing vigorously, it is difficult for terrestrial networks to provide quality services for IoV and other daily communications at ...
• Federated Vehicular Networks: Design, Applications, Routing, and Evaluation 

  Posner, Jason; Tseng, Lewis; Aloqaily, Moayad; Guizani, Mohsen ( IEEE Computer Society , 2020 , Conference paper)

  In this paper, we propose a new concept of vehicular networks, namely a Federated Vehicular Networks (FVN), which can be viewed as a stationary vehicular cloud. We first identify the motivation - namely the limits of ...
• Quantum Computer Architecture from Non-Conventional Physical Simulation up to Encryption Cracking, Machine Learning Application, and More 

  Al-Mohammed, Hasan Abbas; Al-Ali, Muhammed Samir; Alkaeed, Mahdi ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference paper)

  Beginning with the concern of simulation of nonclassical physical theories (deal with tiny particles) that share one common feature (quantum mechanics). As well as, Shor's algorithm has given the advantage of new technology. ...
• Comparing design preference of guide road signs by native arabic speakers and international speakers in the state of qatar 

  Mahgoub, A.O.; Choe, P. ( IEEE Computer Society , 2020 , Conference paper)

  Guide road signs are used to help drivers. These signs should be designed properly and provided effectively to maximize the transmitted information in a short time in driving. The design of guide road signs should be made ...
• Matching Game with No-Regret Learning for IoT Energy-Efficient Associations with UAV 

  Lhazmir, Safae; Oualhaj, Omar Ait; Kobbane, Abdellatif; Ben-Othman, Jalel ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)

  Unmanned aerial vehicles (UAVs) are a promising technology to provide an energy-efficient and cost-effective solution for data collection from ground Internet of Things (IoT) network. In this paper, we analyze the UAV-IoT ...
• Quantum Radar: A Brief Analytical Study 

  Al-Moahmmed, Hasan Abbas ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference paper)

  The quantum computing began with the concern of Richard Feynman to simulate the non-classical physical theories, Shor's algorithm showed the power of the quantum mechanics when solved a classical problem with it, these ...
• 

  Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability 

  Iffa Afsa, C.M.; Ansari, Mohammed Yusuf; Paul, Santu; Halabi, Osama; Alataresh, Ezzedin; Shah, Jassim; Hamze, Afaf; Aboumarzouk, Omar; Al-Ansari, Abdulla; Dakua, Sarada Prasad... more authors ... less authors ( IEEE Computer Society , 2024 , Article)

  Objective: Despite advancements in artificial intelligence (AI) for predicting cardiac arrest (CA) with multivariate time-series vital signs data, existing models continue to face significant problems, particularly concerning ...
• Autonomous vehicle sunshade using aluminum panels 

  Bin Abul Kashem, Saad; Shahid, Fawad; Qidwai, Uvais; Suresh, P.; Ahmed, Jubaer; Saravanakumar, U.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)

  The heat build-up inside of a vehicle cabin due to the direct composure of thermal energy when parked outside during the day can be a huge dilemma, the intensity of the problem can be decreased by covering the windows of ...
• MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss 

  Ottakath, Najmath; Akbari, Younes; Maadeed, Somaya Al; Chowdhury, Mohammad E.H.; Zughaier, Susu; Bouridane, Ahmed; Sadasivuni, Kishor Kumar... more authors ... less authors ( Elsevier , 2025 , Article)

  Carotid artery stenosis risk stratification is one of the most sought-after methods for diagnosing the chances of stroke. There is an inherent requirement to identify the risk before its onset through techniques such as ...
• 

  Evaluating fructose content in poultry feed: electrochemical insights 

  Sha, Mizaj Shabil; Alejli, Assem; Devarajan, Surya; Sadasivuni, Kishor Kumar; Al-Maadeed, Somaya; Maalej, Ramzi; Chaari, Mohamed Zied... more authors ... less authors ( Springer Science and Business Media B.V. , 2024 , Article)

  The global demand for poultry meat has increased, but consumers have become more picky in their nutritional choices. The fat content of poultry meat has risen since genetic advancement has resulted in higher rates of body ...
• 

  An extensive review of preparation, stabilization, and application of single and hybrid nanofluids 

  Das, Pritam Kumar; Santra, Apurba Kumar; Ganguly, Ranjan; Dash, Santosh Kumar; Muthusamy, Suresh; Sha, MizajShabil; Sadasivuni, Kishor Kumar... more authors ... less authors ( Springer Science and Business Media B.V. , 2024 , Article)

  The researchers attract nanofluids due to their improved thermal and physical properties compared to the base fluid. The colloidal mixture of nanometre-sized particles with conventional fluid is known as nanofluids. Compared ...
• Android Malware Detection and Classification using Stacked Machine Learning 

  Nawshin, F.; Gad, R.; Unal, D.; Suganthan, P.N. ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)

  The widespread use of Android smartphones in daily life can be attributed to the extensive prevalence stemming from the Android OS and the availability of open-source applications. People have become accustomed to performing ...
• AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks 

  Faria, Nawshin; Unal, Devrim; Hammoudeh, Mohammad; Suganthan, Ponnuthurai N. ( Elsevier , 2024 , Article)

  The widespread usage of Android-powered devices in the Internet of Things (IoT) makes them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks, such as smart watches, smart thermometers, ...
• 

  Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection 

  Nawshin, Faria; Arnal, Romain; Unal, Devrim; Suganthan, Ponnuthurai; Touseau, Lionel ( Association for Computing Machinery , 2024 , Conference)

  Android devices are central to our daily lives, which leads to an increase in mobile security threats. Attackers try to exploit vulnerabilities and steal personal information from the installed applications on these devices. ...
• Deep learning-based automatic analysis of legal contracts: a named entity recognition benchmark 

  Aejas, Bajeela; Belhi, Abdelhak; Zhang, Haiqing; Bouras, Abdelaziz ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)

  Entity recognition and extraction from contracts play a crucial role in automating contract analysis and extracting valuable information. Named Entity Recognition (NER) techniques are used for identifying and classifying ...
• A Prediction Framework for Lifestyle-Related Disease Prediction Using Healthcare Data 

  Ren, Lijuan; Zhang, Haiqing; Seklouli, Aicha Sekhari; Wang, Tao; Bouras, Abdelaziz ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)

  With the improvement of living standards and changes in work habits caused by industrialization, the prevalence of diseases related to lifestyle is rising. In this context, the prevention of lifestyle-related diseases ...

View more