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13 results for “decision threshold”
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Research ArticleOpen accessEvery word in the titleSpeech Enhancement Algorithm Using Sub band Two Step Decision Directed Approach with Adaptive Weighting factor and Noise Masking ThresholdDeepa Dhanaskodi, Shanmugam ArumugamProblem statement: Speech Enhancement plays an important role in any of the speech processing systems like speech recognition, mobile communication, hearing aid. Approach: In this work, human perceptual auditory masking effect is incorporated into the single channel speech enhancement algorithm. The algorithm is based on a criterion by which the audible noise may be masked rather than being attenuated and … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,130 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Study of Threshold Variations in Temporal Decision Systems for Routing in Vehicular Ad hoc NetworksB. S. Shylaja, V. Mary Anita Rajam, V. Uma Maheswari, Arul SiromoneyProblem statement: Route maintenance and re-discovery are expensive in signaling and computation for routing in Vehicular Ad hoc Networks (VANETs). Hence it was desirable to choose the optimal route during the route selection phase. Approach: In this study, the threshold-based routing protocol β-wt uses the notion of threshold from variable precision rough sets. This protocol was used to evaluate routing … …Journal of Computer Science, Vol. 6, Issue 12 · 9 Nov 2010 · 6,893 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStop Conditions Of BB84 Protocol Via A Depolarizing Channel (Quantum Cryptography)Iyed Ben Slimen, Olfa Trabelsi, Houria Rezig et al.BB84 (Bennett and Brassard 1984) is one of the well known protocols of quantum keys distribution. It is built to allow two interlocutors commonly called Alice and Bob to share two similar binary keys and to detect the eavesdropper presence (the eavesdropper is commonly called Eve). However, Eve presence in a disturbed environment causes errors to the sifted keys and … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,135 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecentralized Predictive Secure VS Placement in Cloud EnvironmentSuresh Baliram Rathod, Vuyyuru Krishna ReddyHosts in distributed cloud environment configured with Local Resource Monitors (LRM) that runs autonomously, monitors underlying host’s resource usage and balances underlying host’s resource usage by migrating Virtual Machine (VM) to other hosts. LRM takes decision for VM migration at fixed interval considering own current CPU usage and the other hosts CPU usage. The peer hosts unawares about the decision … …Journal of Computer Science, Vol. 14, Issue 3 · 21 Mar 2018 · 7,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Assessment of Heavy Metal Pollution in Soil using pH Enrichment Factor and Pollution IndexMichael Nwachukwu, Okoro Uwaezu, Ogbuja I. Ogbuja, Leonard NwosuMany researchers have described pH as heavy metals pollution indicator in soil, but no effort has been made to determine level or quantity of heavy metals that could be indicated by pH. This study measured in-situ soil pH values at Nekede motor mechanic village against the natural background values. We used readings obtained to compute pH enrichment factor (pHeF) at … …American Journal of Environmental Sciences, Vol. 13, Issue 2 · 12 Apr 2017 · 7,979 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ethical Appraisal of Hormesis: Towards a Rational Discourse on the Acceptability of Risks and BenefitsOrtwin RennIt is ethically mandated that potential beneficial aspects of low exposure to potentially hazardous material are incorporated in the risk-benefit balancing procedure. The potential harm done by pollutants does not justify the invocation of a categorical principle. Minimisation of risk is not required if health benefits are also at stake. Society needs to find an informed consent on the threshold … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 1 · 31 Mar 2008 · 7,080 accessesView PDFCite
Research ArticleOpen accessIn the abstractScenarios Analysis of Tourism DestinationsAnastasios Michailidis, Fotis ChatzitheodoridisThis study describes a multi-criteria decision-making framework employed to evaluate and rank three tourism destinations, located in the northern and central Greece. Additionally, innovatory elements are the incorporation of differing levels of socioeconomic data (destination image and destination personality) within the decision framework and the direct determination of the PROMETHEE II preference thresholds. The developed methodology provides a user-friendly approach, … …Journal of Social Sciences, Vol. 2, Issue 2 · 30 Jun 2006 · 7,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractDropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship InvestigationTareef Kamil Mustafa, Norwati Mustapha, Masrah Azrifah Azmi, Nasir B. SulaimanProblem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,535 accessesView PDFCite