Search Results - (( developing state issues algorithm ) OR ( java implication based algorithm ))
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. …”
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Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. …”
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Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava
Published 2021“…Finally, to effectively utilize the correlation amongst battery states and reduce the computational burden of the BMS, a unified frame of co-estimation method for battery states including SOC, SOE, state of power (SOP). actual capacity and maximum available energy is developed. …”
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A Brief Review on Advances of Harmonic State Estimation Techniques in Power Systems
Published 2011“…Various HSE techniques and algorithms have been developed since 1989, which would be reviewed and discussed in this paper. …”
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Non-Citation Index Journal -
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Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…These reviewed algorithms were mainly developed to solve continuous MOPs. …”
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Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
Published 2024“…Additionally, a Hybrid Black Hole Algorithm was proposed in the retrieval phase to optimize the final neuron states. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems
Published 2021“…Modbus/TCP networks in WDS were initially developed to work based on a high availability and under closed-networks, where security was not an issue and communications were performed in clear-text. …”
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Analysing the performance of classification algorithms on diseases datasets
Published 2023“…Researchers have advanced Prediction modelling under three phases. In the first state, they define the issue, collection of data and progress the data. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Hill-Climbing Search (HCS) mppt algorithm for hydrokinetic energy harnessing
Published 2022“…The results show the HCS MPPT algorithm reduced the steady-state oscillation, rapid time tracking and improved 93.75% of efficiency.…”
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Time-domain harmonic extraction algorithms for three-level inverter-based shunt active power filter under steady-state and dynamic-state conditions-an evaluation study
Published 2023“…For evaluation purposes, each control algorithm is incorporated into the controller of a three-phase SAPF, developed using a three-level neutral-point-clamped (NPC) inverter. …”
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