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325 results for “Objective Model”
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Research ArticleOpen accessEvery word in the titleSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,827 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAssessing the Applicability of Landslide Databases for Hazard Management Using Objective and Subjective Models: Australian Geoinformatic CaseM. OwneghProblem statement: In order to assess the applicability of Australian landslide databases as a hazard management support system, current hard and soft literature and data sources were screened. This assessment resulted in the selection of four main data bases including national landslide database (A), Peril Aus ІІ (B), the Cities project (C) and analytical study of Fell (D). Approach: In … …Current Research in Geoscience, Vol. 1, Issue 1 · 30 Jun 2010 · 10,352 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExploring a Flexible Scoring Scheme for a Heuristic Search Technique: A Case Study of University TimetablesSangsuree Vasupongayya, Warakorn Sitthirit, Suthon Sae-Wong, Thaniya KaosolThe university course timetabling management system is proposed in this work. The proposed system applies depth-bounded discrepancy search together with the heuristic and the hard-soft constraints to guide the search to a good solution space. To make the proposed system easy to use by a non-technical user, this work explores a scoring scheme including the effects of the ordering heuristics, … …Journal of Computer Science, Vol. 16, Issue 5 · 2 Jun 2020 · 7,359 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Typical Case Study: Solid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanThe current environmental concerns have forced developed and developing countries to reduce air, water and land pollution for sustainable growth. Solid refinery waste is cocktail of hydrocarbons, water, heavy metal and fine solids and is substantial in quantity. The principal processes of waste management focus mainly on waste source reduction, reusing, recycling, composting, incineration with or without energy recovery, fuel … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 9,767 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSolid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanWaste management became focus of attention of many researchers and scientists in the last half century due to its vital importance. Waste management covered waste source reduction in general, by recycling, reusing, composting, incineration with or without energy recovery, fuel production and land filling. A common approach of waste management models were for specific problems with a limited scope (like … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Rating of Operating Performance of Domestic Auto IndustryKuo-Wei Lin, Chia-Mu Kuan, Ming-Huang NiThe financial crisis in 2007 delivered a setback to the auto industry in Taiwan. However, the domestic auto companies had adopted various contingency measures that not only overcame the economic downturns but also enhanced their operating performances. It was the perfect storm. This study focuses on the changes of operating performances by domestic auto companies in Taiwan after financial crisis … …Journal of Computer Science, Vol. 8, Issue 11 · 15 Sep 2012 · 6,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite