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. …”
Get full text

A Framework for the development of distributed applications by Al-Rashed, Mohammad Abdulaziz

Get full text

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

Design of a multi-threaded distributed telerobotic framework by Al-Mouhamed, M.

“…It is based on most advanced software tools like NET Framework that promise definite advantages over DCOM (Distributed Component Object Model) and RPC (Remote Procedure Call), previously used for distributed applications. …”
Get full text
Get full text

A distributed framework for relaying stereo vision for telerobotics by Al-Mouhamed, M.

Get full text
Get full text

A Load balancing framework for distributed and parallel applications by Haq, Syed Nisarul

Get full text

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)

Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework by Sherif B. Azmy (21633329)

IIoT based framework for large-scale distributed smart farms by unknown

Get full text

A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA by unknown

Get full text
Get full text

Model-based distributed object computing. (c2002) by Hage, Antoine F.

“…A key software technology supporting these trends is distributed object computing (DOC) middleware. DOC middleware facilitates the collaboration of local and remote application components in heterogeneous distributed environments. …”
Get full text
Get full text

Domain Adaptation with Adversarial Training and Graph Embeddings by Firoj Alam (14158866)

“…We propose a novel model that performs adversarial learning based domain adaptation to deal with distribution drifts and graph based semi-supervised learning to leverage unlabeled data within a single unified deep learning framework. …”

New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study by Kamran Khowaja (773300)

Subjects:

Factors affecting the adaptation of Could Computing in Banks by Abdullah, Waleed

Get full text

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). …”

A framework for workflow application with emphasis on reusable distributed objects & active database. (c2001) by Khdeir, Vera

Get full text
Get full text

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

Accessible Metaverse: A Theoretical Framework for Accessibility and Inclusion in the Metaverse by Achraf Othman (17862632)

Subjects:

A multi-type artifact framework for cyber–physical, social systems design and development by Zakaria Maamar (17246311)

IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)