Assessing the Productivity Changes at Hospitals Affiliated with Zahedan University of Medical Sciences using Malmquist Index during 2010-2022 by Eshagh Barfar, Behzad Raei, Farideh Asadi Dogaheh, Mohammad Saburi

“…Inputs included the number of active beds and physicians, while outputs included the number of inpatient admissions and surgeries. …”
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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang by Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

“…The method is as follows: • The fuzzy approach used a multi-input multi-output (MIMO) system with rule-base 3 × 3 × 3 matrix. • The Sugeno method was selected due to its utilization of a constant mathematical function. …”
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Resource Scheduling in MU-MIMO and NOMA Enabled Integrated Access and Backhaul Networks by Chuan-Wei Cho, Meng-Shiuan Pan

“…In this work, we present a novel method that integrates multi-user multiple-input and multiple-output (MU-MIMO) and non-orthogonal multiple access (NOMA) technologies into IAB networks. …”
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Comparison of MPPT optimization methods for P&O and PSO solar panels to overcome partial shading by Imelda Uli Vistalina Simanjuntak, Junas Haidi, Ricky Fajar Ade Putra, Lukman Medriavin Silalahi

“…The system’s output is evaluated based on the highest efficiency parameter value. …”
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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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An LSTM-driven thermoelectric coupling response prediction method for shape memory alloy actuators by Shaozhe Ding, Longbin Liu, Shifeng Zhang, Mingkun Li

“…Trained on 10 experimental conditions (1–2 °C/s heating rates) and tested on 3 unseen cases (0.8 °C/s), the model achieves a mean absolute error of < 5% in angular displacement prediction, with root mean square errors of 2.5 × 10−5 for temperature/resistance outputs. The modular architecture eliminates neural network retraining during structural iterations—only ordinary differential equation parameters require adjustment. …”
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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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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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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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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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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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Shape Optimization of Multi-chamber Acoustical Plenums Using the BEM, Neural Networks, and the GA Method by Ying-Chun CHANG, Ho-Chih CHENG, Min-Chie CHIU, Yuan-Hung CHIEN

“…Most researchers have explored noise reduction effects based on the transfer matrix method and the boundary element method. However, maximum noise reduction of a plenum within a constrained space, which frequently occurs in engineering problems, has been neglected. …”
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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&#x002F;air DBR nanogratings exhibits enhancement in the light output power and external quantum efficiency (EQE) by a factor of &#x223C;1.67. …”
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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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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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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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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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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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