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122 results for “complex set”
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Research ArticleOpen accessIn the abstractA Control-Oriented Coverage Metric and its Evaluation for Hardware DesignsShireesh Verma, Kiran Ramineni, Ian G. HarrisProblem statement: Dynamic verification, the use of simulation to determine design correctness, is widely used due to its tractability for large hardware designs. A serious limitation of dynamic techniques is the difficulty in determining whether or not a test sequence is sufficient to detect all likely design errors. Coverage metrics are used to address this problem by providing a set … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Elliptic Function Arising from the Theta Functions and Dedekind's η-FunctionIsmet Yildiz, Neslihan UyanikIt's a reality that there is a relationship between the sigma function of Weierstrass and theta functions. An elliptic function can be set up using the theta functions just as it can be astablished with the help of sigma function of Weierstrass and two relations between the Dedekind's h-function and - theta function were established by the using characteristic values … …Journal of Mathematics and Statistics, Vol. 1, Issue 2 · 30 Jun 2005 · 6,360 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Orthodontic Movement by Bracketless Orthodontic Treatment on Stress Distribution: 3D Finite Element AnalysisGuaracy Lyra da Fonseca Junior, Ney Tavares Lima Neto, Evelyne Pedroza de Andrade et al.The Bracketless Orthodontic Treatment (BOT) is an alternative technique with the concept of installing an orthodontic appliance composed only of wires and composite resin with the aid of 3D technology. However, the biomechanical behavior of this therapeutic modality has yet to be elucidated in the scientific literature. Thus, the objective of this study was to evaluate the stress distribution in … …Current Research in Dentistry, Vol. 12, Issue 1 · 4 Jul 2021 · 11,613 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 · 1,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle-Fixed-Frame Adaptive Controller and Intrinsic Nonlinear PID Controller for Attitude Stabilization of a Complex-Shaped Underwater VehicleChanaka Thushitha Bandara, Lakmali Nadeesha Kumari, Sanjeeva Maithripala, Asanga RatnaweeraIn this study we present attitude stabilization using a vehicle-fixed-frame adaptive controller and an intrinsic nonlinear PID controller for a low-speed Autonomous Underwater Vehicle (AUV), of complex shape. Controlling an AUV poses a huge challenge because of the non-linearity, time variance and unpredictable external disturbance, as well as because its dynamics and hydrodynamic parameters are difficult to identify due to … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 7 Dec 2020 · 6,987 accessesView PDFCite
Research ArticleOpen accessIn the abstractOmni-Zernike Algorithm for Template Matching in Catadioptric SystemAnisse Khald, Amina Radgui, Mohammed RzizaImage descriptor have been widely applied in many computer visions and image understanding applications including pattern recognition, robotic, video surveillance, camera calibration and image retrieval, etc. Invariants features are robust when apply several transformations of photometry (illumination, blur, noise, JPEG compression) and transformations of geometry (scaling, rotation, translation and viewpoint change). In this study, we present representation and matching region … …Journal of Computer Science, Vol. 16, Issue 12 · 30 Dec 2020 · 6,501 accessesView PDFCite
Research ArticleOpen accessIn the abstractBeef Productivity of Limousine Cattle at Stable KeepingIrina Vlasova, Inna Ventsova, Alexander Vostroilov et al.The regularities of the post-embryonic development of farm animals have been studied by numerous researchers. Their ontogenesis is a result of the complex interaction of animal genotype with those conditions of the external environment in which their hereditary basis is realized. In Russia, the stable keeping system of the cattle is highly relevant as many farms do not have large … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 4 · 23 Oct 2020 · 6,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hierarchical Clustering Approach for DBpedia based Contextual Information of TweetsVenkatesha Maravanthe, Prasanth Ganesh Rao, Anita Kanavalli et al.The past decade has seen a tremendous increase in the adoption of Social Web leading to the generation of enormous amount of user data every day. The constant stream of tweets with an innate complex sentimental and contextual nature makes searching for relevant information a herculean task. Multiple applications use Twitter for various domain sensitive and analytical use-cases. This paper … …Journal of Computer Science, Vol. 16, Issue 3 · 25 Mar 2020 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite
Review ArticleOpen accessIn the abstractCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,554 accessesView PDFCite