首页|Research Reports from Jaypee University of Information Technology Provide New In sights into Machine Learning (Exploring Biomedical Video Source Identification: Transitioning from Fuzzy-Based Systems to Machine Learning Models)
Research Reports from Jaypee University of Information Technology Provide New In sights into Machine Learning (Exploring Biomedical Video Source Identification: Transitioning from Fuzzy-Based Systems to Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news originating from Solan, India, by NewsRx e ditors, the research stated, “In recent years, the field of biomedical video sou rce identification has witnessed a significant evolution driven by advances in b oth fuzzy-based systems and machine learning models.” Our news editors obtained a quote from the research from Jaypee University of In formation Technology: “This paper presents a comprehensive survey of the current state of the art in this domain, highlighting the transition from traditional f uzzy-based approaches to the emerging dominance of machine learning techniques. Biomedical videos have become integral in various aspects of healthcare, from me dical imaging and diagnostics to surgical procedures and patient monitoring. The accurate identification of the sources of these videos is of paramount importan ce for quality control, accountability, and ensuring the integrity of medical da ta. In this context, source identification plays a critical role in establishing the authenticity and origin of biomedical videos. This survey delves into the e volution of source identification methods, covering the foundational principles of fuzzy-based systems and their applications in the biomedical context. It expl ores how linguistic variables and expert knowledge were employed to model video sources, and discusses the strengths and limitations of these early approaches.”
Jaypee University of Information Technol ogySolanIndiaCyborgsEmerging TechnologiesFuzzy LogicMachine Learni ng
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