Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator by Nur Afiqah Mostaman, Erwan Sulaiman, Mahyuzie Jenal

“…The optimization process involves multiple sequences for each component, employing the Local Optimization Method as an iterative approach to determine the optimal sequence that yields the highest output efficiency. …”
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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

“…This study evaluates and compares three automated classification methods for Landscape Character Assessment (LCA) to assess their suitability for consistent, objective, and scalable mapping. …”
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An LSTM-driven thermoelectric coupling response prediction method for shape memory alloy actuators by Shaozhe Ding, Longbin Liu, Shifeng Zhang, Mingkun Li

“…Unlike conventional approaches, our method decouples material behavior prediction from actuator geometry: A single-layer LSTM network processes voltage-time sequences to predict SMA wire’s temperature and resistance dynamics, while a physics-based model computes angular displacement through phase transformation and constitutive equations. …”
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Research on Plant RNA-Binding Protein Prediction Method Based on Improved Ensemble Learning by Hongwei Zhang, Yan Shi, Yapeng Wang, Xu Yang, Kefeng Li, Sio-Kei Im, Yu Han

“…It integrates prediction results from SVM, LR, LDA, and LightGBM into an enhanced TextCNN, using K-Peptide Composition (KPC) encoding (k = 1, 2) to form a 420-dimensional feature vector, extended to 424 dimensions by including those four prediction outputs. Redundancy is minimized using a Pearson correlation threshold of 0.80. (3) Results: On the benchmark dataset of 4992 sequences, our method achieved an ACC of 97.20% and 97.06% under 5-fold and 10-fold cross-validation, respectively. …”
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Improving the Energy Efficiency of the Explosive Pulse during Drilling and Blasting Operations to Increase the Quality of Crushing and Conditions for Conveyor Delivery of Overburde... by Tasbulat Monbolovich Igbaev, Nurlan Asylkhanovich Daniyarov, Adilbek Kazbekovich Kelisbekov, Arsen Zakirovich Akashev

“…In this paper is presented a method of increasing the energy efficiency of the explosive pulse in drilling and blasting operations by means of developed gas pedal designs to improve the quality of crushing and conditions of conveyor delivery of rock mass.…”
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Enhancing the Light-Extraction Efficiency of an AlGaN Nanowire Ultraviolet Light-Emitting Diode by Using Nitride/Air Distributed Bragg Reflector Nanogratings by Mohd Sharizal Alias, Bilal Janjua, Chao Zhao, Davide Priante, Abdullah A. Alhamoud, Malleswararao Tangi, Lafi M. Alanazi, Abdullah A. Alatawi, Abdulrahman M. Albadri, Ahmed Y. Alyamani, Tien Khee Ng, Boon S. Ooi

“…Compared to a control device (only mesa), the AlGaN NW-LED with the nitride/air DBR nanogratings exhibits enhancement in the light output power and external quantum efficiency (EQE) by a factor of ∼1.67. …”
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Novel Method in Induction Heating for Complex Steel Plate Deformation Based on Artificial Neural Network by Nguyen Dao Xuan Hai, Nguyen Truong Thinh

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Assessing the quality, efficiency and usefulness of the Western Australian population-based Intellectual Disability Exploring Answers (IDEA) surveillance system: a surveillance sys... by Helen Leonard, Daniel McAullay, Karen M Edmond, Natalie A Strobel, Jenny Bourke, Alice Richardson

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Development of a High-Stability Boost Converter Using Supercapacitor Integration Using the Perturb and Observe Control Method for Photovoltaic Application by Imam Hidayatulah, Darjat, Iwan Setiawan

“…Supercapacitors, known for their high energy density and rapid charge/discharge capabilities, are integrated into the boost converter circuit to mitigate voltage fluctuations and enhance energy storage efficiency. The PO control method is utilized to dynamically adjust the duty cycle of the MOSFET, ensuring the output voltage remains stable at the desired level of 70 V, with an input voltage range of 30 V to 60 V. …”
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Reform and innovation of physical education teaching methods in universities based on fuzzy decision support systems by Zhaojin Zhong, Wenzhi Guo, Regina Nacional

“…Abstract Innovative Physical Education (PE) teaching methods rely on technologies and innovative environments to improve the fitness and efficiency of students. …”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…Selecting the appropriate method for coal seam mining is the foremost task for the safe and efficient production of coal mines. …”
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Key method of digitization of power distribution panel with artificial intelligence identification for power communication network by LIU Lin, YANG Zhimin, HUANG Qiang, YANG Jingwei, CHEN Yitong

“…To enhance the operational management efficiency of the power communication network, artificial intelligence technology was utilized to develop a digitalization method for distribution panels within the communication power system. …”
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Fuzzy System for the Quality Assessment of Educational Multimedia Edition Design by Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova, Iryna Pikh

“…The quality of educational multimedia edition design is determined by a set of characteristics that affect perception, readability and communication efficiency. Quality assessment of multimedia edition design is based on a comprehensive analysis of characteristics that affect the quality of output data, edition processing and content representation. …”
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Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources by DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong

“…Then, aimed at the uncertainty of renewable energy output, the optimal clustering number is determined by Elbow method, and typical wind speed scenarios are obtained by K-means clustering algorithm. …”
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State-Space Method-Based Frame Dynamics Analysis of the Six-Rotor Unmanned Aerial Vehicles by Ruijing Liu, Yu Liu, Yi Zhang

“…The Direct Current (DC) gain method is employed to reduce the number of modes, followed by frequency response analysis on the reduced modes to derive the frequency–domain transfer function between the excitation input and response output points. …”
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Simulation of Solar Panel Maximum Power Point Tracking Using the Fuzzy Logic Control Method by Anna Mutia, Dahlan Abdullah, Kraugusteeliana Kraugusteeliana, Susatyo Adhi Pramono, Hendi Sama

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Enhancing FDG Production Efficiency on Explora FDG4 Synthesis Module: A Journey of Innovation and Excellence at Neurospinal & Cancer Care Post Graduate Institute by Syed Muhammad Haider Zaidi, Fatima Batool, Naheed Ghaffar

“…The research project enhanced manufacturing output stability, combined with equipment checks and maintenance procedures, and reduced external support. …”
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning by SONG Yanjie, LIU Yingjie, TANG Xiaomin, ZHANG Zhaoqian

“…The results show that the ensemble learning model based on Stacking algorithm has the highest prediction accuracy for total organic carbon content compared with decision tree model, support vector regression machine model, BP neural network model, and improved ΔlgR method. Therefore, the ensemble learning model based on Stacking algorithm is the most effective method for calculating the total organic carbon content in the study area, which lays the foundation for accurately evaluating the hydrocarbon generation potential of shale oil reservoirs, ensuring efficient exploitation and resource utilization of shale oil reservoirs.…”
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Research on Concrete Crack Damage Assessment Method Based on Pseudo-Label Semi-Supervised Learning by Ming Xie, Zhangdong Wang, Li’e Yin

“…To address the inefficiency of traditional concrete crack detection methods and the heavy reliance of supervised learning on extensive labeled data, in this study, an intelligent assessment method of concrete damage based on pseudo-label semi-supervised learning and fractal geometry theory is proposed to solve two core tasks: one is binary classification of pixel-level cracks, and the other is multi-category assessment of damage state based on crack morphology. …”
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Comparative Analysis of Nonlinear Methods for Multivariable Water Level Prediction: The Case Study of the Atrato River by Jackson B. Renteria-Mena, Douglas Plaza, Eduardo Giraldo

“…For output 2, the backpropagation model obtains a value of 0.9966, the NARX model 0.9958, and the ARX model 0.9914. …”
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