Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

“…The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. …”
Get full text

Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded by Abdallah, Rawan Yousef Ali

Get full text

Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

Get full text

Decision trees by Srour, F. Jordan

“…This entry describes the value of and methods for using decision trees within the social sciences. An overview of the basic theory behind decision trees coupled with a summary of binary, multi-way, robust, and optimal decision tree algorithms support social scientists in the use of these supervised machine learning tools for both exploratory and predictive analytic contexts.…”
Get full text
Get full text
Get full text

Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach by El Gohary, Youssef Hesham

Get full text

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

Get full text

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

“…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …”

From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

“…By incorporating the Collatz process and carefully considering key-controlled variables, the proposed model aims to offer enhanced security properties while meeting the necessary criteria for a reliable and effective hashing mechanism. …”