Impact of sales methods on profitability in the Japanese software industry: Resource allocation perspectives by Takaaki Ishikawa, Kiminori Gemba, Tetsuaki Oda

“…This study investigates how sales methods, service management, and resource allocation influence the operating profit margins of Japanese software companies, with a focus on marketing strategies and profitability improvement. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…In this study, we present a data-driven framework that employs machine learning to predict droplet size and generation frequency, while simultaneously optimizing device geometry. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…Unlike traditional Rankine cycles, ORC systems use refrigerants or mixed fluids as working fluids, which have lower boiling points than water and are environmentally friendly, allowing efficient power generation on a smaller scale and at lower temperatures (above 200°C). While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. …”
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Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI by Amr M. Hamed, Abdel-Fattah Attia, Heba El-Behery

“…This study proposes an optimized classification framework that evaluates ten machine learning (ML) models, emphasizing ensemble methods, feature selection (FS), and outlier utilization. …”
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Improving Rotational Stability of Radial Permanent Magnetic Bearings for Compact Rotors via Axial Offset and Optimal Sizing by Mante Baekeland, Konstantinos Gryllias, Dirk Vandepitte

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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

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Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems by JIANG Minghua, LI Ding, KONG Dezhen, WANG Zhuxiu, BAI Ningning, LI Zhongwen

“…However， integrating a high proportion of renewable energy poses significant challenges to the frequency security and control of power systems at the sending-end base. [Methods] To address these challenges， this study proposes a frequency control and parameter optimization method tailored for the coordinated operation of heterogeneous multi-source systems in a new high-proportion energy-sending-end base. …”
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Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

“…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization by Yue Zheng, Ang Li, Zihan Chen, Yapeng Wang, Xu Yang, Sio-Kei Im

“…The increasing deployment of unmanned aerial vehicles (UAVs) in complex urban environments necessitates efficient and reliable path planning algorithms. While traditional sampling-based methods such as Rapidly exploring Random Tree Star (RRT*) are widely adopted, their computational inefficiency and suboptimal path quality in intricate 3D spaces remain significant challenges. …”
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Optimization and comparative evaluation of optical and photocatalytic properties of TiO2 thin films prepared via sol–gel method by Mohd. Danish, Subia Ambreen, Arti Chauhan, Ashutosh Pandey

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A novel interval prediction method in wind speed based on deep learning and combination prediction by XueJun Chen, Tao Han, Peng Cheng, Xuanfang Da

“…Abstract The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. …”
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Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO by Sameh Kaziz, Fraj Echouchene, Mohamed Hichem Gazzah

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A novel method integrating sample migration and threshold optimization for high-precision greenhouse classification: evidence from Southern China by Kaiyue Luo, Henggang Zhang, Chenhui Zhu, Tianyu Jiao, Alim Samat, Yonglin Chen, Chuanxiang Cheng

“…This study proposes a remote sensing classification framework using sample migration and dynamic threshold optimization for accurate, scalable greenhouse detection. …”
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Analysis of Influence of Cut-and-Cover Method on Retaining Structures and Differential Settlement in Subway Foundation Pit Construction by Yi Liu, Lei Huang, Xiaolin Tang, Yanbin Xue, Wenbin Ke, Yang Luo, Lingxiao Guan

“…A comparison with the cut-and-cover method prompted the adoption of a strategy that integrates segmental pouring of the main structure and the installation of internal supports to optimize the original scheme. …”
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Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA by Hongyi Wu, Haozhen Li, Xuanyi Wang, Junshou Yang, Runze Jiang, Xiaolei Deng, Jianchen Wang

“…Compared with the traditional research methods for optimizing machine tool beds, the FEA technology can handle more complex geometric shapes and boundary conditions, improve the accuracy and reliability of data, and enhance the optimization efficiency through the Taguchi method, achieving multi-objective joint optimization. …”
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Optimization of Adaptive I²H ∞ Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

“…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia by Shunyu Li, Jing Zhang, Yu He, Gang Lv, Ying Liu, Xiangxie Hu, Zhiyang Wang, Xuan Ao

“…This study proposed a two-stage, capacity-optimization configuration method for user-level energy systems considering thermal inertia and user satisfaction. …”
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Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation by Changyou XU, Gang CHEN, Qiuxia ZHANG, Bo WANG, Hongwang ZHANG, Hongrui LI, Weiwei QIN, Muyang LI

“…The purpose is to develop and apply a machine learning-based approach for the prediction and scheduling optimization of open-pit mining truck speeds. Open-pit mining is a significant method for coal mining, making it crucial to enhance the transportation efficiency of mining trucks. …”
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