Search Results - "Mostafa, Salama A."
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Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
Published in IEEE access (2021)“…An intrusion detection system (IDS) is an important protection instrument for detecting complex network attacks. Various machine learning (ML) or deep learning…”
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MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management
Published in Sensors (Basel, Switzerland) (27-03-2020)“…In healthcare applications, numerous sensors and devices produce massive amounts of data which are the focus of critical tasks. Their management at the edge of…”
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A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues
Published in IEEE access (2019)“…Systems based on fog computing produce massive amounts of data; accordingly, an increasing number of fog computing apps and services are emerging. In addition,…”
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An Ontological Framework for Information Extraction From Diverse Scientific Sources
Published in IEEE access (2021)“…Automatic information extraction from online published scientific documents is useful in various applications such as tagging, web indexing and search engine…”
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Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods
Published in IEEE access (2019)“…Until now, an effective defense method against Distributed Denial of Service (DDoS) attacks is yet to be offered by security systems. Incidents of serious…”
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Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods
Published in IEEE access (2020)“…Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a life-threatened epidemic disease that hard to control the spread of…”
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Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis
Published in IEEE access (2021)“…Recently, development in intelligent transportation systems (ITS) requires the input of various kinds of data in real-time and from multiple sources, which…”
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Voice Pathology Detection and Classification Using Convolutional Neural Network Model
Published in Applied sciences (01-06-2020)“…Voice pathology disorders can be effectively detected using computer-aided voice pathology classification tools. These tools can diagnose voice pathologies at…”
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Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model
Published in Computational intelligence and neuroscience (13-08-2022)“…Due to the COVID-19 pandemic, computerized COVID-19 diagnosis studies are proliferating. The diversity of COVID-19 models raises the questions of which…”
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The Current State of the Art in Research on Predictive Maintenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review
Published in Energies (Basel) (01-08-2021)“…With the exponential growth of science, Internet of Things (IoT) innovation, and expanding significance in renewable energy, Smart Grid has become an advanced…”
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A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application
Published in International journal of medical informatics (Shannon, Ireland) (01-04-2018)“…•A Fuzzy Logic-based Adjustable Autonomy (FLAA) model to manage the autonomy of multi-agent systems.•The FLAA model is implemented in an Automated Elderly…”
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COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images
Published in Results in physics (01-12-2021)“…•We propose a method for early detection of COVID-19 through analysis of X-ray images.•The method performs preprocessing, RoI detection, segmentation, feature…”
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WB-CPI: Weather Based Crop Prediction in India Using Big Data Analytics
Published in IEEE access (2021)“…This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production, humidity and wind speed data (in a few regions), which will…”
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A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems
Published in Energies (Basel) (01-06-2020)“…The optimal generation scheduling (OGS) of hydropower units holds an important position in electric power systems, which is significantly investigated as a…”
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An Agent-Based Inference Engine for Efficient and Reliable Automated Car Failure Diagnosis Assistance
Published in IEEE access (01-01-2018)“…There are many difficulties and challenges involved in cars failure and malfunction diagnosis. The diagnosis process involves heuristic and complex series of…”
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An Attention-Augmented Convolutional Neural Network With Focal Loss for Mixed-Type Wafer Defect Classification
Published in IEEE access (2023)“…Silicon wafer defect classification is crucial for improving fabrication and chip production. Although deep learning methods have been successful in…”
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Bat Optimized Link State Routing Protocol for Energy-Aware Mobile Ad-Hoc Networks
Published in Symmetry (Basel) (01-11-2019)“…Mobile ad hoc network (MANET) can be described as a group of wireless mobile nodes that form a temporary dynamic and independent infrastructure network or a…”
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A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs
Published in IEEE access (2022)“…Nowadays, VANET (vehicular ad hoc network) is one of the key aspects of developing advanced intelligent transportation systems. Due to its huge mobility and…”
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An optimization of color halftone visual cryptography scheme based on Bat algorithm
Published in Journal of intelligent systems (01-01-2021)“…Visual cryptography is a cryptographic technique that allows visual information to be encrypted so that the human optical system can perform the decryption…”
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Tree-based machine learning algorithms in the Internet of Things environment for multivariate flood status prediction
Published in Journal of intelligent systems (01-01-2022)“…Floods are one of the most common natural disasters in the world that affect all aspects of life, including human beings, agriculture, industry, and education…”
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