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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…The implementation of artificial intelligence (AI) techniques in industrial applications, especially solid-state welding (SSW), has transformed modeling, optimization, forecasting, and controlling sophisticated systems. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…The implementation of artificial intelligence (AI) techniques in industrial applications, especially solid-state welding (SSW), has transformed modeling, optimization, forecasting, and controlling sophisticated systems. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Artificial intelligence-driven vehicle fault diagnosis to revolutionize automotive maintenance: A review
Published 2024“…Indeed, the limited performance of systems based on only one of these AI techniques is likely to be addressed by combinations: The integration shows that a single technique or method fails its expectations, which can lead to more reliable and versatile diagnostic support. …”
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Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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Enhanced Bat Algorithm for Solving Non-Convex Economic Dispatch Problem
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Enhanced Bat Algorithm for Solving Non-Convex Economic Dispatch Problem
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TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM
Published 2013“…The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. …”
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Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
Published 2019“…The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. …”
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Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin
Published 2018“…Vehicle classification and counting has been voice require issue of intelligent traffic control system (ITS). Before this, the conventional method counting vehicles is based on manually counting using a worker. …”
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Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes
Published 2025“…The research leverages Artificial Intelligence (AI)-based Genetic Algorithms (GA) and game theory to address critical challenges in resource allocation. …”
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ProCAss: An intelligent assessment for computer programming corpus
Published 2005“…This paper will briefly describe on the techniques that have been used to implement e-assessment for essays such as Project Essay Grade (PEG), E-rater, Intelligent Essay Assessor (IEA) and Latent Semantic Analysis (LSA).Mainly, the discussion will concentrate on LSA to build the eassessment for computer programming corpus.One great advantage of LSA over the others is its ability to make absolute relative comparisons, where set of documents can be compared to each other, or to an answer schema.Another reason is the computer program produces programs in a subset of English-like words, a bit similar to an essay [Haley, et.al, 2003].This paper will propose system design integrated with LSA method to assess student’s programming assignments. …”
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Non-Invasive Diabetes Level Monitoring System using Artificial Intelligence and UWB
Published 2020“…These signals are saved and used for AI training, validation and testing. The system with CFNN shows approximately 86.62% accuracy for BGCL measurement, which is 5.62% improved compared to other methods by showing its superiority. …”
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A review on the applications of PSO-based algorithm in demand side management: Challenges and opportunities
Published 2023“…The implementation of Artificial Intelligence algorithms in DSM applications has been employed in many studies to help researchers make optimal decisions and achieve predictions by analyzing the massive amount of historical data. …”
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Review and bibliometric analysis of AI-driven advancements in healthcare
Published 2024“…Purpose: This research intends to use literature review and bibliometric analysis methods to visually review the development status and important historical milestones of Artificial Intelligence, as well as the basic research, key topics, and future potential research hot spots of AI in the healthcare field. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…This study investigates the role of Knowledge Management Systems (KMS) and artificial intelligence (AI) in facilitating the implementation of Outcome-Based Education (OBE) as a strategic approach to improve the quality of HEIs in responding to the demands of IR 4.0. …”
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A Constrained Optimization based Extreme Learning Machine for noisy data regression
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Genetic algorithm-based optimal overcurrent relays coordination for standalone sustainable hydrokinetic renewable energy distribution network
Published 2019“…This research work propose the artificial intelligent (AI) solution on the objective function (OF) formulation, with the application of genetic algorithm (GA) optimization solver, to determine each relay best optimal operation for the TDS value and response time to fault accordingly and also eliminate miscoordination among the relays. …”
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