Search Results - (( post implementation total algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. The post-islanding frequency stability is maintained by optimizing the Load Frequency Control‘s parameters. …”
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The effects of compiler optimizations in face recognition system
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Techniques and strategies to minimize radiation exposure in pediatric computed tomography (CT) abdominal examinations: a review
Published 2024“…To reduce the ionizing radiation dose while still obtaining high-quality diagnostic images, healthcare practitioners should adhere to DRL, adjust exposure factors, implement prefiltration, employ AI, and use post-processing algorithms.…”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Restaurant review system with data visualization and text search using TF-IDF algorithm / Syazwina Abd Hamid
Published 2020“…Various features are deliver from this system such as login, logout, sign up as member, post new review, view submitted review or even delete reviews, search of restaurant, view restaurants, read reviews of restaurant and lastly, view overall analysis for insights where top 10 restaurants are ranked based on its average rating and total number of review. …”
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Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022
Published 2023“…Spatial analysis revealed distribution patterns, clustering, and hotspot locations for both diseases, indicating common environmental and socio-economic risk factors for both diseases. Diagnostic algorithms, targeted interventions and early warning systems can be implemented based on these findings to improve disease control and prevention strategies.…”
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