Search Results - (( intelligence based coding algorithm ) OR ( intelligence a computer algorithm ))
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar
Published 2006“…This research involved three main components - corner detector, chain code, and neural network. The integration of these components produced a corner detector algorithm and this algorithm can be used in the engine of an intelligent sketch interpreter…”
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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications
Published 2026“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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Artificial immune network model based controller for vibration suppression of flexible structures
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…The main challenges of implementing ANPR algorithm on mobile phone are how to produce a higher coding efficiency, lower computational complexity, and higher scalability. …”
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Computational problem solving architectural design based on multi-agent.
Published 2013“…Indeed, introducing an efficient solution for this problem will help them to figure out programming problems properly as well as saving time. Nevertheless, computational problem solving systems are not as applicable as enough to be contributed to complex problems craving intelligent analysis.So, intelligent agents tie with problem solving met hods to conquer the mentioned issue. …”
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A genetic algorithm for management of coding resources in VANET
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems
Published 2024“…The network parameters are trained using the Adam optimization method with the aid of automatic differentiation. A vectorization algorithm is designated for the selected step to make the computation process more efficient. …”
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Old Jawi manuscript: Digital recognition / Zaidi Razak
Published 2016“…The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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Quantum-Resistant Cryptography in Cyber Security
Published 2025“…It provides a systematic overview of major post-quantum cryptographic families, including lattice-based, hash-based, code-based, multivariate, and isogeny-related schemes, and evaluates their current security assumptions, practical efficiency, and readiness for real-world deployment. …”
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Development Of Generative Computer-Aided Process Planning For Cnc Milling Parts_Pramodkumar S Kataraki
Published 2019“…The validation of developed algorithm by percentage error (%) shows error less than 0.1% and the machine selection criteria suggests user the type of milling machine needed to manufacture a part based on level of complexity.…”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…A possible solution is to employ an intelligent middleware that can analyze both the human-generated data and sensory generated data. …”
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Augmented feedforward and feedback control of a twin rotor system using real-coded MOGA
Published 2010“…A hybrid control approach comprising a feedforward intelligent command shaping technique inverse-model based PID feedback control is presented in this paper. …”
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Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
Published 2015“…This includes the use of an artificial neural network (ANN) based predictive control strategy and differential evolution (DE) optimization algorithm to determines the optimal control signal, uk (liquid droplet size, dD) by minimizing the cost function such that the output is set below the allowable PM concentration. …”
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