Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum (16875936)

“…The edge computing trend, along with techniques for distributed machine learning such as federated learning, has gained popularity as a viable solution in such settings. …”

An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection by Hassan Ali (3348749)

State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles by Archishman Biswas (16904649)

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints by Mohammed Al Disi (16855407)

SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading by Ali E. Elgazar (23276620)

Climatic and atmospheric determinants of sensor-type biases in measured solar irradiance by Yazan J.K. Musleh (23715429)

Fault-Tolerant Network Topologies for Datacenters by Attia, Heba Mahmoud Helal

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I know you are watching me by Abdel Wahab, Omar

“…Motivated by the absence of any approach that accounts for such a challenge in the domain of cloud computing, we propose in this work an adaptive detection strategy that formulates a Stackelberg security game to enable the cloud system to optimally exploit its available amount of security resources to maximize the detection of distributed attacks, knowing that attackers have the ability to monitor the cloud system's strategies and adjust their own attack plans. …”
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Role of Internet of Things in the Smart Grid Technology by Al-Ali, Abdulrahman

“…The talk will highlight the role of I.o.T and cloud computing services and development models in the smart grid. …”
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Calculation of Average Road Speed Based on Car-to-Car Messaging by Ramzy, Ahmed

“…Solutions based on geo-distributed road monitoring, using Fog-computing paradigm, provide lower latency and higher accuracy than centralized (cloud-based) approaches. …”
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Innovative mobile E-healthcare systems by Haraty, Ramzi A.

“…Efficient management, storage, and caching of distributed e-health data in a CDN or in a cloud computing environment of mobile patients facilitate that doctors, health care professionals, and other e-health service providers have immediate access to e-health information for efficient decision making as well as better treatment. …”
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Attack-Specific Feature Selection for Anomaly Detection in Software-Defined Networks by Abbas, Nadine

“…Due to the rapid advancement of technologies including the tremendous growth of multimedia content, cloud computing and mobile usage, conventional networks are not able to meet the demands. …”
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A Novel Hadoop Security Model for Addressing Malicious Collusive Workers by M. Sauber, Amr

“…Hadoop uses MapReduce as an effective computing model. However, Hadoop experiences a high level of security vulnerability over hybrid and public clouds. …”
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Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

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Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review by Rizwan Qureshi (15279193)

“…<p dir="ltr">Data generated from sources such as wearable sensors, medical imaging, personal health records, and public health organizations have resulted in a massive information increase in the medical sciences over the last decade. Advances in computational hardware, such as cloud computing, graphical processing units (GPUs), Field-programmable gate arrays (FPGAs) and tensor processing units (TPUs), provide the means to utilize these data. …”