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A hybrid MEP and AIS Algorithm for energy dispatch in power system
Published 2017“…Based on original Meta Heuristic Evolutionary Programming (Meta-EP) method with a consideration on cloning process as in Artificial Immune System (AIS) algorithm together thus identified as New Meta Heuristic Evolutionary Programming algorithm (NMEP). …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…AI holds the potential to enhance productivity, accuracy, and effectiveness across sectors. …”
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Cognitive benefits of employing multiple AI voices as specialist virtual tutors in a multimedia learning environment
Published 2025“…To address this gap, we draw on multimedia learning and cognitive models to investigate the effects of using multiple AI voices as specialist virtual tutors for distinct programming algorithm subtopics on cognitive load and learning outcomes. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…Then, in order to cope with the limitations of the existing artificial intelligence (AI) based methods, optimized gene expression programming (GEP) is applied to precisely formulate the relationships between historical data and EEC of ASEAN-5 countries. …”
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
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Facilitating English Language teaching through AI- based drama in Palestine
Published 2025“…The findings underscore the imperative for comprehensive teacher training programs focused on effectively integrating AI tools in EFL education.…”
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Book Chapter -
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Null steering of adaptive beamforming using linear constraint minimum variance assisted by particle swarm optimization, dynamic mutated artificial immune system, and gravitational...
Published 2023“…The algorithms were implemented using Matlab program. © 2014 Soodabeh Darzi et al.…”
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Solving non-convex economic dispatch problem using computational intelligence technique
Published 2023Conference Paper -
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Study of climate change effects on rain height for satellite microwave links
Published 2024“…Furthermore, the ITU-R recommendation method such as ITU-R P.839 and ITU-R P.618 recommendation model had been adopted in obtaining the rain height values as well as the rain attenuation values respectively. Then, a simple AI predictive model for rain height is being developed by using Artificial Neural Network (ANN) algorithms with Python programming language. …”
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AI recommendation penetration testing tools for password attacks: random forest
Published 2025“…This project developed an AI-based recommendation system using the Random Forest algorithm to address the complexities of selecting appropriate penetration testing tools for password attacks. …”
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Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators
Published 2023“…AI already globally impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. …”
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The efficacy of personal computer (PC) AI image enhancer software on low and high contrast PA chest radiograph: an experimental study
Published 2026“…Methods: An experimental investigation was undertaken using five PC AI image enhancer programs to visualise the thoracic anatomy. …”
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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Published 2023Conference Paper -
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Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
Published 2014“…Several Artificial Intelligence (AI) techniques such as Multi Agent and Evolutionary Programming were combine to produce Multi Agent Evolutionary Programming (MAEP) technique. …”
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Computational intelligence based power system security assessment and improvement under multi-contingencies conditions / Nor Rul Hasma Abdullah
Published 2012“…A performance comparison with Artificial Immune System (A1S) in terms of SVSI and loss minimization was made and it is found that the proposed algorithm has been able to produce better results as compared to AIS. …”
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AI chatbot system for educational institutions
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Integrated Clonal Accelerated Mutation Evolutionary Programming for Composite Compensation in Power System
Published 2025“…The effectiveness of the proposed ICAMEP algorithm was compared with respect to the traditional evolutionary programming (EP) and artificial immune system (AIS) optimization techniques for performance comparisons. …”
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Computational intelligence based power system security assessment and improvement under multicontigencies conditions
Published 2012“…The minimizations of SVSJ and transmission loss are used as two separate objective functions for the development of optimization technique.The effect of reactive power load variation.on transmission loss in the system is also investigated.Consequently,the EP optimization technique is extended for the evaluation of the operating generator scheduling (OGS) to be applied on reactive power control in power system.The results obtained from the study can be used by the power system operators to make a decision either to achieve minimal SVSJ, minimal transmission loss or minimal installation cost.This has also avoided all generators to dispatch power at the same time.Finally,a novel multi-objective Constrained Reactive Power Control (CRPC) algorithm using the state-of-the-art of EP for voltage stability improvement has been developed.A performance comparison with Artificial Immune System (AIS) in terms of SVSJ and loss minimization was made and it is found that the proposed algorithm has been able to produce better results as compared to AIS.The contributions of the studies among the others are the development EP and AIS engine for CPP considered multi-contingencies (N-ni),the development of EP and AIS engine for FACTS installation considered multi-contingencies(N-m) for the determination of FACTS placement using SVSI and optimal sizing of FACTS using EP and AIS, the development of new technique for OGS based on EP optimization technique and the development of multi-objective EP and AIS engines for CRPC considered multi-contingencies (N-m).…”
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