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245 articles for “Detection Techniques”
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Research ArticleOpen accessEvery word in the titleOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,295 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,503 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,463 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleAI-Based Techniques for DDoS Attack Detection in WSN: A Systematic Literature ReviewMohammed Al-Naeem, Mohammed Ashikur Rahman, Adamu AbuBakar Ibrahim, M.M. Hafizur RahmanWireless Sensor Networks (WSNs) are currently being used in various industries such as healthcare, engineering, the environment and so on. Security is a significant issue for WSN due to its infrastructure and limited physical security. Distributed Denial of Service (DDoS) is one of the most vulnerable attacks that can be defined as attacks launched from multiple ends into a set … …Journal of Computer Science, Vol. 16, Issue 6 · 29 Jun 2020 · 8,378 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetection of Commercial Fraud in Processed Meat Products Using Rapid TechniquesAli M. Ahmed, Takwa H. Ismail, Reham R. Abouelmaatti et al.Meat adulteration with different species has become a considerable problem worldwide. It means that meat products contain undeclared meat species; so, the meat ingredients are not consistent with the label. It has direct impact on public health, religious faith, fair-trades and food safety standers. This study focused on species adulteration detection in meat products by applying accurate, slandered and fast … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 4 Jun 2020 · 7,821 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUnfair Reviews Detection on Amazon Reviews using Sentiment Analysis with Supervised Learning TechniquesElshrif Ibrahim Elmurngi, Abdelouahed GherbiReputation and trust are significantly important and play a pivotal role in enabling multiple parties to establish relationships that achieve mutual benefit especially in an E-Commerce (EC) environment. There are several factors negatively affecting the sight of customers and sellers in terms of reputation. For instance, lack of credibility in providing feedback reviews, by which users might create phantom feedback … …Journal of Computer Science, Vol. 14, Issue 5 · 14 May 2018 · 9,889 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,454 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleReview of Signal Processing Techniques for Detection of Power Quality EventsAbhijith Augustine, Ruban Deva Prakash, Rajy Xavier, Mareeta Cheriyan ParasseryThe challenging process industry requires true power for its smooth functioning and here comes the importance of good power or power. The term Power Quality (PQ) aims at supplying true power to the process. The scope of the power quality increased with the introduction of newly designed sophisticated devices like computers and microcontrollers. The performances of these devices are extremely … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 30 Apr 2016 · 8,498 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Study of Construction Techniques of t-Error Correction/All Unidirectional Error Detection CodesThabit Sultan Mohammed, Laith A. Al-JobouriThe theory and application of (t-EC-AUED) codes was presented and among the methods proposed in literature, the most efficient was chosen and a software was written for encoding and decoding of the codes. Comparison and evaluation of the construction techniques were carried out. A t-Error Correction (EC)/All Unidirectional Error Detection (AUED) codes are constructed by appending a single check symbol … …Journal of Computer Science, Vol. 11, Issue 2 · 28 Jan 2015 · 6,577 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite