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Impact learning: A learning method from feature's impact and competition
Published 2023“…This paper introduced a new machine learning algorithm called impact learning. Impact learning is a supervised learning algorithm that can be consolidated in both classification and regression problems. …”
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Impact learning : A learning method from feature’s impact and competition
Published 2023“…This paper introduced a new machine learning algorithm called impact learning. Impact learning is a supervised learning algorithm that can be consolidated in both classification and regression problems. …”
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Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
Published 2018“…A novel feature-based product design methodology based on an integrated CAD-LCA approach is developed which analyzes a product design’s environmental impact. …”
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Impact learning: A learning method from feature’s impact and competition
Published 2023“…This paper introduced a new machine learning algorithm called impact learning. Impact learning is a supervised learning algorithm that can be consolidated in both classification and regression problems. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…The increasing prevalence of this chronic disease necessitates the development of effective diagnosis and recommender systems to reduce its impact on public healthcare. …”
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
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An automatic visual inspection of oil tanks exterior surface using unmanned aerial vehicle with image processing and cascading fuzzy logic algorithms
Published 2023“…Meanwhile, for the latter aspect, a cascading fuzzy logic algorithm and threshold algorithm were developed to distinguish between defects and noise levels and reduce their impact through three stages of processing: The first stage of fuzzy logic aims to distinguish between defects and low noise generated by the appearance of objects on the surface of the tank, such as trees or stairs, and reduce their impact. …”
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Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
Published 2024“…The review concludes with a discussion on the key findings and future directions in algorithm development and optimization for crop water modelling. …”
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The impact of virtual reality on programming algorithm courses on student learning outcomes
Published 2024“…Therefore, learning with VR effectively improves student learning outcomes on programming algorithm materials. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”
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Computational simulation for static and dynamic load of rectangular plate in elastic region for analysis of impact resilient structure.
Published 2012“…With such perspective, the first objective of the work is to develop a computational algorithm to analyze flat plate as a generic structure subjected to impact loading for numerical simulation and parametric study without considering the surface impact effect. …”
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…In order to make our proposed method cost efficient, we developed Load Aware Over Cost algorithm which is 8% cost effective comparing with Load Aware algorithm. …”
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A study of packet scheduling with mobile cellular channel impairments
Published 2012“…Future works include development of a new packet scheduling algorithm to overcome detrimental effects due to LTE-A channel impairments on the QoS of multimedia services.…”
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Benchmarking routing algorithms in NoC-based MPSoCs using guaranteed convergence arithmetic optimization with artificial neural networks and fuzzy MCDM
Published 2024“…Furthermore, the authors propose a comprehensive assessment of various routing algorithms, aiming to identify the most suitable and effective routing algorithm that satisfies designers’ system-level requirements and assessment criteria. …”
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Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
Published 2023“…This work proposed a new hybridised network of 3-Satisfiability structures that widens the search space and improves the effectiveness of the Hopfield network by utilising fuzzy logic and a metaheuristic algorithm. …”
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This development goal is to reduce the impact of water variation in river water levels. …”
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