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1,934 results for “problem-based”
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Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Occlusion Aware Facial Expression Recognition Model Using Fitness Based Cheetah Optimizer and Adaptive Multi-Scale ViT-CNN With Attention MechanismA. Reddy Prasad, A. RajeshAs a highly nuanced aspect of human communication, facial expression recognition presents a computationally complex problem, making it a prominent area of research in computer vision and affective computing. Problems like poor image quality, occlusions, inconsistent illumination, and head attitude changes are frequently observed in images taken from unstructured sources such as the internet that affect the accuracy of facial … …Journal of Computer Science, Vol. 21, Issue 12 · 29 Jan 2026 · 1,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractReinforcement Learning in Financial Services: Modelling Payment Switching as a Multi-Armed Bandit ProblemIshaya Gambo, Christopher Agbonkhese, Segun Aina et al.The ever-evolving landscape of digital payments demands continuous innovation and self-improvement. This study addresses this imperative by simulating a model for payment routing, a crucial aspect of the digital payment ecosystem. To achieve this, industry professionals were interviewed to inform the approach, emphasizing data randomization for effective data collection. Using Python, a randomized dataset is created and three Reinforcement Learning … …Journal of Computer Science, Vol. 20, Issue 11 · 12 Oct 2024 · 4,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralized Statistical Inference for Quantiles of Two-Parameter Gamma DistributionMalwane AnandaGamma distribution is a widely used distribution to analyze data in many disciplines such as hydrology, meteorology, environmental monitoring, lifetime testing and reliability. In this study, we look at the statistical inference for the quantiles of two-parameter gamma distribution. The testing and estimation of gamma quantile are required especially in areas such as flood frequency analysis and life testing. For … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 12 Feb 2024 · 5,910 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecentralized Lean Business Model Canvas for Blockchain-Based EnterprisesEashwar Sivakumar, Paras ChawlaAgeneric decentralized lean business model canvas was developed using theprinciples of business process management and lean six sigma forblockchain-based systems presented in this study. Based on the literaturereview, it was found that business model canvas and lean canvas are some of themost widely used management tools. Business Model Canvas can be used forselling a specific product and lean canvas can … …Journal of Computer Science, Vol. 18, Issue 5 · 5 Jun 2022 · 7,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW CONTENT BASED IMAGE RETRIEVAL SYSTEM USING GMM AND RELEVANCE FEEDBACKN. Shanmugapriya, R. NallusamyContent-Based Image Retrieval (CBIR) is also known as Query By Image Content (QBIC) is the application of computer vision techniques and it gives solution to the image retrieval problem such as searching digital images in large databases. The need to have a versatile and general purpose Content Based Image Retrieval (CBIR) system for a very large image database has attracted … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a New Elliptic Curve Cryptosystem with Factoring ProblemE. S. Ismail, M. S. HijaziProblem statement: The security of elliptic curve cryptosystems are based on elliptic curve discrete logarithm problem (ECDLP). However, if an attacker finds a solution to ECDLP, the elliptic curve-based systems will no longer be secure. Approach: To improve this, we develop a new elliptic curve cryptosystem using one of the old/novel problem in computational number theory; factoring problem (FAC). Specifically, … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 2 Aug 2012 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effects of Social Constructivist Approach on the Learners’ Problem Solving and Metacognitive LevelsErdal Bay, Birsen Bagceci, Bayram CetinProblem statement: Socio-cultural constructivism; stressing the social context, culture and collaborative side of learning, is another kind of constructivism. The social constructivist approach has positive effects on learners. It can be said that in improving problem solving and met cognitive awareness skills, which are amongst basic skills every individual should possess today. The purpose of this study is to investigate … …Journal of Social Sciences, Vol. 8, Issue 3 · 5 Apr 2012 · 10,489 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Living Values-Based Contextual Learning to Develop the Students' CharacterKokom KomalasariProblem statement: University has an important role in the process of young generation character education. The character education should be integrated through the living values-based contextual learning model in order to be easier internalized and implemented. This study aimed at describing: (1) the living values-based contextual learning model conceptually in lecturing; (2) the implementation of the living values-based contextual learning … …Journal of Social Sciences, Vol. 8, Issue 2 · 6 Mar 2012 · 9,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Tree Structure in Context Clustering Process of Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, the tone degradation due to the imbalance of training data of all tones. Some distortion of syllable duration is obviously noticeable when the system is trained with a small amount of data. These problems cause the decrement in naturalness and intelligibility of the synthesized speech. Approach: This study proposes an approach to improve … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 6,955 accessesView PDFCite