Search Results - "Abd Elaziz, Mohamed"
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Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System
Published in Sensors (Basel, Switzerland) (26-12-2021)“…Developing cyber security is very necessary and has attracted considerable attention from academy and industry organizations worldwide. It is also very…”
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Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Published in Expert systems with applications (01-04-2022)“…This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search Algorithm (RSA), motivated by the hunting behaviour of Crocodiles…”
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3
An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer
Published in Applied thermal engineering (01-04-2020)“…[Display omitted] •Performance of passive still, active still, and condenser is studied.•Distilling systems are modeled by different artificial…”
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Modeling of solar energy systems using artificial neural network: A comprehensive review
Published in Solar energy (01-03-2019)“…The development of different solar energy (SE) systems becomes one of the most important solutions to the problem of the rapid increase in energy demand. This…”
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Multi-ResAtt: Multilevel Residual Network With Attention for Human Activity Recognition Using Wearable Sensors
Published in IEEE transactions on industrial informatics (01-01-2023)“…Human activity recognition (HAR) applications have received much attention due to their necessary implementations in various domains, including Industry 5.0…”
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6
Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer
Published in Energies (Basel) (01-12-2022)“…It is necessary to study different aspects of renewable energy generation, including wind energy. Wind power is one of the most important green and renewable…”
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Modeling ultrasonic welding of polymers using an optimized artificial intelligence model using a gradient-based optimizer
Published in Welding in the world (01-01-2022)“…In this study, a new hybrid artificial intelligence approach is proposed to model the ultrasonic welding of a polymeric material blend. The proposed approach…”
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8
Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger
Published in Applied thermal engineering (25-02-2021)“…•Thermohydrulic performance of STHE was predected using four ML algorithms; RVFL, KNN, SVM and SMO.•The RVFL model has the best prediction performances with…”
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Reliable applied objective for identifying simple and detailed photovoltaic models using modern metaheuristics: Comparative study
Published in Energy conversion and management (01-11-2020)“…The first issue in the optimal photovoltaic system design is providing an accurate PV model that emulates the system behaviour under several environmental…”
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10
Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea
Published in International journal of environmental research and public health (18-05-2020)“…The current pandemic of the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars…”
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Binary Horse herd optimization algorithm with crossover operators for feature selection
Published in Computers in biology and medicine (01-02-2022)“…This paper proposes a binary version of Horse herd Optimization Algorithm (HOA) to tackle Feature Selection (FS) problems. This algorithm mimics the conduct of…”
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Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm
Published in Computational intelligence and neuroscience (01-01-2019)“…In recent years, convolutional neural network (CNN) has attracted considerable attention since its impressive performance in various applications, such as…”
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13
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Published in PloS one (03-01-2023)“…Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in which the single evolution strategy and the control parameter affect…”
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14
Modulation of cell cycle progression and chromatin dynamic as tolerance mechanisms to salinity and drought stress in maize
Published in Physiologia plantarum (01-06-2021)“…Salinity and drought are the major abiotic stresses that disturb several aspects of maize plants growth at the cellular level, one of these aspects is cell…”
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Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT
Published in Sensors (Basel, Switzerland) (31-03-2022)“…The development of smart network infrastructure of the Internet of Things (IoT) faces the immense threat of sophisticated Distributed Denial-of-Services (DDoS)…”
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16
Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm
Published in Computational intelligence and neuroscience (2020)“…In recent years, cloud computing technology has attracted extensive attention from both academia and industry. The popularity of cloud computing was originated…”
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17
A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features
Published in Symmetry (Basel) (01-07-2020)“…Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes death for millions of people annually. Chest radiography and…”
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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Published in Neural computing & applications (01-03-2022)“…Real-world engineering design problems are widespread in various research disciplines in both industry and industry. Many optimization algorithms have been…”
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Hybrid Enhanced Optimization-Based Intelligent Task Scheduling for Sustainable Edge Computing
Published in IEEE transactions on consumer electronics (01-02-2024)“…The demand for task scheduling in Internet of Things (IoT)-based edge and cloud computing environments is experiencing exponential growth due to the need to…”
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IoT Intrusion Detection System Using Deep Learning and Enhanced Transient Search Optimization
Published in IEEE access (2021)“…The great advancements in communication, cloud computing, and the internet of things (IoT) have opened critical challenges in security. With these…”
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