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Android Malware Detection Using Machine Learning
Published 2024“…Malware, or malicious software, poses a significant threat to systems and networks. Malware attacks are becoming extremely sophisticated, and the ability to detect and prevent them is becoming more challenging. …”
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Soiling Detection on Solar Panels Using Artificial Intelligence
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…In the new era of digital communications, cyberbullying is a significant concern for society. Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…These fraudulent activities have contributed to rising problems in the manufacturing industry. Several fraud detection systems are being used in the procurement and logistics sector, and their challenge is incapability of realizing the burden of the money lost and abnormal behaviors in the procurement process. …”
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Plant Leaf Disease Detection Using Ensemble Learning and Explainable AI
Published 2024“…This study introduces an AI (Artificial Intelligence) model that detects and explains plant diseases through image analysis. …”
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…Techniques for natural language processing may be used to text data to extract useful features like sentiment, emotion, and subjectivity. …”
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Pspice double void partial discharge simulation and detection using wavelet
Published 2003“…Therefore, an effective early detection of insulation failure will significantly reduce chances of catastrophic failure in power system apparatus avoiding costly repair and power outage impact. …”
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Estimating the probability of detection of cracks in metal plates using lamb waves
Published 2023“…This paper focusses on the development of a data-driven damage detection method to quantify fatigue crack in metal plates using Lamb waves and its reliability using a probability of detection (POD) technique. …”
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Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening
Published 2018“…This study aims to define the prevalence and outcomes of diabetes first detected in pregnancy based on 75-gram oral glucose tolerance test (OGTT)using the recent WHO/IADPSG guidelines in a high-risk population.…”
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
Published 2022“…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. …”
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A real-time automatic pothole detection system using convolution neural networks
Published 2023“…However, studies have shown that machine learning and deep learning techniques successfully detect potholes. However, because most of these successful attempts are peculiar to the location of the study, we found no study which has addressed the peculiarity of potholes in South Africa using a tailored-trained deep learning model. …”
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A machine learning model for early detection of diabetic foot using thermogram images
Published 2021“…Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU. …”
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