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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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FINDING SHORTEST PATH FOR DYNAMIC PUTTING PROBLEM USING ANT COLONY OPTIMISATION by Nor Akmal, Abdul Aziz

“…Specifically. this thesis is intended to develop a system that can display the shortest path by the used of two algorithm in ACO which were Ant System (AS) and Ant Colony System (ACS). …”
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Modelling and simulation of modified unipolar PWM scheme on a single phase DC-AC converter using PSIM by Mohd Faridun Naim, Tajuddin, Ghazali, N. H., Siong, T. C., Ghazali, N.

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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

“…Genetic Algorithm (GA), Ant Colony (AC), Simulated Annealling (SA), Particle Swarm Optimization, and Harmony Search Algorithm (HS) as their basis in an effort to generate the most optimal solution. …”
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Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations by Hannan M.A., Ghani Z.A., Hoque M.M., Ker P.J., Hussain A., Mohamed A.

Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures by Phooi M’ng, J.C., Zainudin, R., Aziz, A.A.

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Predicting mortality of Malaysian patients with acute coronary syndrome (ACS) subtypes using machine learning and deep learning approaches / Muhammad Firdaus Aziz by Muhammad Firdaus , Aziz

“…ML algorithms were used to examine significant variables utilising feature selection methods. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging by Norhasmira, Mohammad, Anuar Mikdad, Muad, Rohana, Ahmad, Mohd Yusmiaidil, Putera Mohd Yusof

“…Conclusions: The application of digital imaging and deep learning techniques used by the DP-AC and convolutions neural network algorithms to segment and identify premolars provides promising results for semi-automated forensic dental staging in the future…”
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Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad... by Mohamad Zamani, Mohamad Khairuzzaman

“…It is proposed that CISOS technique is used to solve other optimisation problems for future research.…”
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Determine the Optimal Diameter of Carbon Steel Pipes Around Undersea Power Cable by Lau, Alvin Kouk Shenn

“…Eddy current plus joule heating levels were made by measuring the heat level on different radius of the pipes for various changes in parameters such as current, voltages in alternating current (AC) and direct current (DC). An open-sourced machine learning algorithm was created to allow the machine to analyse more result in the future by different user and different parameter value, which produce more accurate pipe radius calculation. …”
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Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method by Abbaszadeh M., Soltani-Mohammadi S., Ahmed A.N.

Artificial intelligence (AI) and its application in architecture design: a thematic review by Jin, Deran, Zairul, Mohd, Salih, Sarah Abdulkareem

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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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Short-term load forecasting utilizing a combination model: a brief review by Ahmad, Faisul Arif, Liu, Junchen, Hashim, Fazirulhisyam, Samsudin, Khairulmizam

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Machine learning application to industrial control systems by Bingi, K., Prusty, B.R., Ibrahim, R.

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A comprehensive review of optimization techniques in industrial applications: Trends, classifications, and future directions by Mukti Asih, Hayati, Mohamad, Effendi, Irianto, Ma’arif, Alfian

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Short-term load forecasting utilizing a PSO and LSTM combination model:a brief review by Ahmad @ Mohd Yusoff, Faisul Arif, Samsudin, Khairulmizam, Hashim, Fazirulhisyam, Liu, Junchen

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Artificial Intelligent Based Damping Controller Optimization for the Multi-Machine Power System: A Review by Hannan M.A., Islam N.N., Mohamed A., Lipu M.S.H., Ker P.J., Rashid M.M., Shareef H.