Mild water deficit during maturity reduces cracking rate of greenhouse muskmelon while improving fruit quality by Qimin Xue, Hao Li, Taisheng Du

“…The comprehensive quality score based on principal component analysis and membership function method revealed that severe DI applied at entire reproductive period had optimal comprehensive quality score. …”
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Suboptimal protein intake for hypocaloric diet needs while using glucagon-like peptide-1 receptor agonists by Brittany Johnson, Tyler McGlasson, Olena Thomas, Rachel Kreider, Rachel Jones

“…Background The primary aim of this study was to evaluate protein intake of individuals while using a Glucagon-like Peptide-1 Receptor Agonist medication (GLP-1RA). …”
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An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning by Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang, Bingyu Cao

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

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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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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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Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images by Sama Nemati, Hasti Shabani, Ahmad Mahmoudi-Aznaveh

“…Uneven illumination correction is considered a critical pre-processing step in creating digital images from optical microscopes, particularly in whole-slide imaging (WSI). While deep learning-based methods have suggested new possibilities, they often struggle with generalizing to unseen images and require substantial computational resources. …”
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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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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 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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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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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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Evaluation of whole blood CD64 for identifying infection in neonates receiving hospital care by Naomi E. Spotswood, Naomi E. Spotswood, Naomi E. Spotswood, Peter A. Dargaville, Peter A. Dargaville, Leah Hickey, Leah Hickey, Leah Hickey, Michelle J. L. Scoullar, Michelle J. L. Scoullar, Riya Palchaudhuri, Riya Palchaudhuri, Shuning Zheng, Timothy Spelman, Suzanne M. Crowe, Suzanne M. Crowe, Hanumesh Kenchapla, James G. Beeson, James G. Beeson, David A. Anderson, David A. Anderson

“…Neonatal infections and sepsis in adults have been associated with increased CD64 expression on neutrophils. We investigated whole blood CD64 (wbCD64) and neutrophil elastase (NE) in neonates who were evaluated and treated for potential infection and evaluated the potential for these biomarkers as diagnostic tools.MethodsNeonates were prospectively recruited from two neonatal units. …”
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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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