Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing by Helmy, Tarek

“…In this paper, we address the issue of judicious load balancing in distributed object computing systems. In order to decrease response time and to utilize services effectively, we have proposed and implemented a new technique based on machine learning for adaptive and flexible load balancing mechanism within the framework of distributed middleware. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…To address such issues, we propose a scalable, layered, fault-tolerance, and in-memory distributed computing-based graph neural network framework called Graph Distributed Learning Library (GDLL). …”

Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

Blockchain-enabled distributed learning for enhanced smart grid security and efficiency by Alaa Awad Abdellatif (17151163)

“…Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times, aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). …”

SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework by Daksh Dave (17949239)

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems by Emna Baccour (16896366)

“…To support resource and delay requirements of such paradigm, joint and real-time deep co-inference framework with IoT synergy was introduced. However, scheduling the distributed, dynamic and real-time Deep Neural Network (DNN) inference requests among resource-constrained devices has not been well explored in the literature. …”

A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models by Osama Bassam J. Rabie (21323741)

Smart aquaponics: An innovative machine learning framework for fish farming optimization by Amith Khandakar (14151981)

ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework by Amr E. Aboeleneen (19237135)

“…Subsequently, it employs a Deep Reinforcement Learning (DRL) agent on O-RAN’s virtual Control Unit (vCU) and virtual Distributed unit (vDU) to correct errors in prediction and optimize the cost of slice allocation based on service KPI requirements, ultimately pre-allocating future network slices at reduced costs. …”

A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

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Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices by Neder Karmous (19743430)

“…Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) attacks are considered the most common and threatening attacks that strike IoT devices’ security. …”

A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems by Masoud Ahmadzadeh (21633053)

“…The performance of the trained framework has been compared with other supervised Machine Learning-based and deep-learning techniques for FDI attacks against modified IEEE 33- and 141-bus PDSs. …”

LearnSmart: A framework for integrating internet of things functionalities in learning management systems by Mershad, Khaleel

“…A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. …”
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

A Collaborative Service Discovery and Service Sharing Framework for Mobile Ad Hoc Networks by Safa, Haidar

“…In this paper, we propose a distributed and scalable service discovery and sharing framework for ad hoc networks. …”
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Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT by Noora Mohammed Al-Maslamani (17541798)

“…<p dir="ltr">Aiming at protecting device data privacy, Federated Learning (FL) is a framework of distributed machine learning in which devices’ local model parameters are exchanged with a centralized server without revealing the actual data. …”

Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... by Raseena M. Haris (17773470)

A novel intrusion detection framework for optimizing IoT security by Abdul Qaddos (20748779)

Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Realigning Risk and Enhancing Liability Frameworks for Design Errors in Traditional Construction Contracts: A Comparative Study of the UAE and Oman by AL GHASSANI, KHAWLAH SAID AHMED

“…The study reviews legal frameworks, risk distribution, indemnity insurance provisions, dispute resolution mechanisms, and how the inclusion of technologies such as BIM, AI, and VR affects contractual obligations. …”
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