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Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithmization of Electrostatic Model for Solving the Direct Problem of ElectrographyTagirbek Gaidarbekovich Aslanov, Naur Zamirovich Ivanov, Shamil Shamil`evich Anudinov, Tatiana Vladimirovna KarlovaAn analysis of the creation and implementation of algorithms to control cardiological processes occurring in the cardiovascular system using software and hardware diagnostic systems is a required activity. This study considers ways to improve the methods of medical data processing using electronic diagnostic systems, relying on existing methods of mathematical simulation of human body states. This study describes the development … …Journal of Computer Science, Vol. 21, Issue 4 · 7 Mar 2025 · 5,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Ozone Concentrations Using Box-Jenkins ARIMA Modeling in MalaysiaWan Rozita Wan Mahiyuddin, Nur Izzah Jamil, Zamtira Seman et al.Time series analysis and forecasting has become a major tool in many applications in air pollution and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins. In this study, we used Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) model on the average of monthly ozone data … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 25 May 2018 · 8,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Time Series Modeling to Study River Water QualityMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater deficit problem originates from two factors: population increase and water pollution. However, studying and forecasting the quality of water are necessary to avoid serious problems in future through managerial works. In present study, using time series modeling, the quality of Madian Rood River is studied at Baraftab station using time series analysis. Nine parameters of water quality are studied … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Apr 2018 · 8,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn CobsSamomssa Inna, Oumarou Amadou Amadou, Jiokap Nono Yvette et al.The understanding of compositional characteristics permits to predict the efficient thermal conversion technologies and Higher Heating Value (HHV). Although HHV can be determined directly, many models have been proposed for HHV prediction. They are based on proximate, ultimate, and structural analysis and require much data collected. The present work assesses to predict efficient thermal conversion technologies and HHV of the … …Energy Research Journal, Vol. 13, Issue 1 · 27 Dec 2022 · 10,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractGrowth Traits as Indicators of Body Weights in Dorper SheepMolabe Kagisho Madikadike, Vusi Mbazima, Busisiwe Gunya, Thobela Louis TyasiThe growth traits help rural farmers who lack weighing equipment to anticipate the body weights of their animals for a variety of reasons, including feeding, medication, and breeding purposes. The study aims to predict body weights from the growth traits of Doper sheep. Data on growth traits such as body length, heart girth, sternum height, withers height, rump height, and … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 26 Dec 2022 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data-Sharing Model to Secure Borders Using an Artificial-Intelligence-Based Risk Engine and Big-Data ConceptsMohammad S. Al Rousan, Benedetto IntrigilaThe primary aim of this research is to develop a framework for data management and sharing that will enable countries to share complex data about known and unknown high-risk passengers to streamline border-control security processes through the use of big data analytics and Artificial Intelligence (AI). A total of 15 semi-structured interviews were used to gather qualitative data. A thematic … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 2 May 2022 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Analysis of M/M/C Vacation Queueing Model with a Waiting Server and Impatient CustomersGanesh Sapkota, R. P. GhimireIn this study, the transient analysis of the M/M/C queueing system has been made under the provision of servers' single vacation and loss of impatient customers. Customers arrive in the system in the Poisson process and are served by multiple servers in an exponential distribution process. Customers are served in the chronological order of their arrival. The main purpose of … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 19 Apr 2022 · 7,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoles of Macroeconomic Variables on Agricultural Diversification in NigeriaSunday B. Akpan, Samuel J. Udoka, Inimfon V. PatrickThe study examined the trend in agricultural diversification index from 1960 to 2014 in Nigeria. It also determined the influence of some macroeconomic variables on the estimated index. Augmented Dickey-Fuller-GLS unit root test showed that all series were integrated of order one. The long-run and short-run elasticity of the agricultural diversification index with respect to the specified macro-economic variables were … …American Journal of Economics and Business Administration, Vol. 7, Issue 2 · 9 Jul 2015 · 7,491 accessesView PDFCite