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Research ArticleOpen accessIn the keywordsAnt Colony Optimization for Load Management Based on Load Shifting in the Textile IndustryChaimongkon Chokpanyasuwan, Tika Bunnag, Ratthasak PrommasThe textile industry is a complicated manufacturing industry because it is a fragmented and heterogeneous sector dominated by Small and Medium Enterprises (SMEs). There are various energy-efficiency opportunities that exist in every textile plant. However, even cost-effective options often are not implemented in textile plants mostly because of limited information on how to implement energy-efficiency measures. This paper presents the … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 9 Apr 2015 · 7,116 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMIGITATION OF INTER CELL INTERFERENCE AND FADING IN LTE SYSTEMSNagarajan Amutha Prabha, Gorla Vidhya Sagar, Venugopal ManikandanIn this study we investigate the compensation of outage area utmost. It introduces the self optimization of the neighbors of the outage cells with antenna tilts for the generation of the most suitable configuration settings for the network with base stations/eNodeBs positional information. All the neighbors of the outage cell increase their coverage area and thus contribute to cell outage … …Journal of Computer Science, Vol. 10, Issue 3 · 28 Nov 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeasurement of Ground Level Ozone at Different LocationsYasmen A. Mustafa, Sinan J. MohammedProblem statement: Ground level ozone is the most important index substance of photochemical smog. Photochemical smog is now observed in many urban and industrial centers around the world and it has become a common phenomenon in many large cities. Ozone is a most harmful pollutant for humans, in addition it plays an important role in damaging vegetation and materials. Therefore … …American Journal of Environmental Sciences, Vol. 8, Issue 3 · 13 Jun 2012 · 7,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Weather Data Management System for Sustainable Agriculture in Maharashtra Using Machine LearningAishwarya V. Kadu, Kuraparthi Tirumala V. ReddyAgriculture will benefit greatly from efficient weather data sustainable management. Data can be utilized to schedule the prediction yield, crop growth, and irrigation. This paper collects real-time meteorological station data via APIs, primarily focusing on the weather data sustainable management system and data related to Maharashtra Wardha, India, which is involved in a live series period. Agriculture can make potential … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Sausage Products Prepared Using Biologically Active Additives from Sprouted Wheat and Cattle by ProductsGulmira Kenenbay, Urishbay Chomanov, Tamara Tultabayeva et al.The production of meat and meat products is closely related to the development of livestock farming and the processing industry. A promising direction for the development of the meat industry could be an increase in the depth of processing of meat raw materials, including an increase in the production of meat products from by-products that are in high demand among … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 31 Mar 2024 · 5,495 accessesView PDFCite
Research NotesOpen accessIn the abstractMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 335 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Optimization of Ganoderma lucidum Polysaccharide Fermentation: A Guidance for IndustrializationBin Yang, Junhu Kai, Dehui Dai et al.Ganoderma Lucidum Polysaccharide (GLP) is one of the main active components of G. lucidum and a promising prebiotic for various diseases. Maximizing the production of GLP and minimizing the cost is important for the widespread use of GLP in the food/feed and pharmaceutical industries. The purpose of the present study was to optimize the fermentation condition of a single G. … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 30 Jan 2024 · 5,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Two Famous Cryptographic Algorithms on Mixed DataEmmanuel Abidemi Adeniyi et al.The rapid development of digital data sharing has made information security a crucial concern in data communication. The information security system heavily relies on encryption methods. These algorithms employ strategies to increase data secrecy and privacy by obscuring the information, which only those parties who have the accompanying key can decode or decrypt. Nevertheless, these methods also use a lot … …Journal of Computer Science, Vol. 19, Issue 6 · 29 May 2023 · 6,020 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 · 1,488 accessesView PDFCite