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139 articles for “detection limit”
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Review ArticleOpen accessIn the abstractAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,421 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,234 accessesView PDFCite
Review ArticleOpen accessIn the abstractDetection of Phishing Websites Hosted in Name Server Flux Networks Using Machine LearningThomas NagunwaAttackers are increasingly using Name Server IP Flux Networks (NSIFNs) to run the domain name services of their phishing websites in order to extend the duration of their phishing operations. These networks host a name server that manages the Domain Name System (DNS) records of the websites on a network of compromised machines with frequently changing IP addresses. As a … …Journal of Computer Science, Vol. 20, Issue 1 · 12 Dec 2023 · 5,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Fake News Detection Across Generational Text Representations: From Traditional Models to Transformer-Based MethodologiesNoor M. AlkudahThe rapid proliferation of fake news on Arabic social media has amplified societal and political risks, yet research on automatic detection in Arabic remains limited due to scarce datasets, morphological complexity, and underexplored preprocessing strategies. This study presents a comprehensive benchmark for Arabic fake news detection, unifying seven Machine Learning (ML) algorithms, three Deep Learning (DL) models, and a transformer-based … …Journal of Computer Science, Vol. 22, Issue 4 · 17 Apr 2026 · 1,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cross-Validation Under Concept Drift for Time Series ForecastingKunjira Kingphai, Prapakorn Kanjina, Kamol Sanittham, Wacharong WongsanurakTime-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Series Cross-Validation (ATSCV), a drift-aware evaluation framework that uses statistical change-point detection to partition each series into contiguous, approximately stationary regimes, followed by forward-chaining folds that respect those boundaries. By aligning train–validation splits with distributional changes (with … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,502 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HPLC Method for Detection of 17 Characteristic Components in Tea ExtractYing Liu, Dan Wu, Ping Tang, Xingqian YeA HPLC method has been developed for the determination of tea for seven catechins ((+)-catechin, (−)-epicatechin, (−)-epigallocatechin, (−)-epigallocatechin gallate, (−)-epicatechin gallate, (−)-gallocatechins and (−)-gallocatechin gallate), two flavonols (quercetin, kaempferol), seven organic acids (Gallic acid, ferulic acid, protocatechuic acid, p-hydroxybenzoic acid，p-coumaric acid, erucic acid，vanillic acid) and caffeine. Using HPLC with gradient elution and photodiode array detection, seventeen compounds were separated and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 2 Feb 2022 · 7,034 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review of Detection Techniques for Chemical Oxygen Demand in WastewaterDan Wu, Yinglu Hu, Ying LiuWater pollution is a major problem all over the world, the detection techniques of water play an important role in the evaluation of water pollution. Chemical Oxygen Demand (COD) is an important index of the evaluation of water pollution. The paper reviews the detection methods of chemical oxygen demand in wastewater, introduces the standard of chemical oxygen demand emission limit … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 27 Jan 2022 · 8,923 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction MethodsRubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi et al.Alzheimer’s disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimer’s disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8-4.4 years after the first clinical indication. Advancements in computing and information technology have led to many techniques for studying Alzheimer's disease. Early identification and therapy are crucial for preventing Alzheimer's disease, as early-onset … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial NetworkAnitha Premkumar, Sowmya Vemagal Lakshminarayana, Shankar Rajagopal et al.Big data Processing and the IoT have recently gained popularity as study topics in MEC and thorough research is sought for well-informed decisions. Mobile edge equipment, such as base stations, routers, and edge servers, usually have limited processing capabilities compared to traditional data centers. According to this perspective, this research constructs MEC using Intelligent Outlier Detection with a Multidimensional Generative … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,692 accessesView PDFCite