Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…Deterministic Lateral Displacement (DLD) has been widely utilized for the high-throughput and efficient separation of microspheres, cells, exosomes, and proteins, playing a crucial role in size-based particle separation. …”
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Gender dynamics in agricultural employment for food security in sub-Saharan Africa by Afees Noah, Oladipo David, Grobler Wynand, Alabi Moshood

“…The study uses descriptive analysis, system generalized method of moments (SGMM), and panel-corrected standard error (PCSE) methodologies to analyze the secondary data on 28 SSA countries. …”
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Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design by Maaz Ali Awan, Yaser Dalveren, Ali Kara, Mohammad Derawi

“…Time-division multiplexing multiple input–multiple output (TDM-MIMO) is an efficient method for enhancing angular resolution without compromising the size, weight, and power (SWaP) characteristics. …”
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Real‐Time Wireless Detection of Heavy Metal Ions Using a Self‐Powered Triboelectric Nanosensor Integrated with an Autonomous Thermoelectric Generator‐Powered Robotic System by Yan‐Tsz Huang, Arshad Khan, Anindita Ganguly, Kuldeep Kaswan, Sreerag Suresh, Yu‐Ying Cheng, Kuan‐Ming Lee, Jui‐Han Yu, Zong‐Hong Lin

“…This innovative approach provides a highly safe and efficient method for detecting hazardous pollutants in difficult‐to‐access areas, offering significant potential for wireless and real‐time environmental monitoring and hazard prevention, thus contributing to the safeguarding of human health. …”
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A New Mutagenesis Tool for Songpu Mirror Carp (<i>Cyprinus carpio</i> L.) for Selective Breeding: Atmospheric-Pressure Room-Temperature Plasma Mutagenesis Technology by Xiaona Jiang, Chitao Li, Mei Shang, Xuesong Hu, Yanlong Ge, Zhiying Jia

“…As a new, safe, and efficient method, Atmospheric-Pressure Room-Temperature Plasma (ARTP) mutagenesis has been widely applied in the field of microbial breeding and industrial applications, but it is rarely used in fish. …”
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Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis by Shan Wang, Jiaxiang Li, Xinsheng Xu, Ruiqi Wu, Yuhang Qiu, Xuwen Chen, Zijian Qiao

“…The method shows significant performance advantages in realizing the energy enhancement of the bearing fault eigenfrequency and provides a more efficient and accurate solution for bearing fault diagnosis, which has important engineering application value.…”
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Weighted Feature Fusion Network Based on Multi-Level Supervision for Migratory Bird Counting in East Dongting Lake by Haojie Zou, Hai Zhou, Guo Liu, Yingchun Kuang, Qiang Long, Haoyu Zhou

“…Traditional manual observation and low-precision methods make it difficult to meet this demand. To this end, this paper proposes a weighted feature fusion network based on multi-level supervision (MS-WFFNet) to count migratory birds. …”
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Attention mechanism augmented random forest model for multiple air pollutants estimation by Xinyu Yu, Man Sing Wong, Kwon-Ho Lee

“…Specifically, self-attention mechanism was incorporated with the multi-output random forest first to emphasize pertinent features in inputs during model training. …”
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Improving photovoltaic water pumping system performance with PSO-based MPPT and PSO-based direct torque control using real-time simulation by Ikram Saady, Btissam Majout, Badre Bossoufi, Mohammed Karim, Ismail Elkafazi, Safae Merzouk, Mishari Metab Almalki, Thamer A. H. Alghamdi, Paweł Skruch, Anton Zhilenkov, Saleh Mobayen

“…The first controller utilizes a Particle Swarm Optimization (PSO)-based Maximum Power Point Tracking (MPPT) technique to maximize the photovoltaic array’s output under varying irradiance conditions. The second controller incorporates a PSO-optimized Proportional-Integral (PI) controller within a Direct Torque Control (DTC) method to improve the dynamic behavior of the induction motor (IM) and ensure the efficient functioning of the centrifugal pump. …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…The intelligent back analysis method based on the monitored information is widely recognized as the most efficient and cost-effective technique for inverting parameters. …”
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Painted Electrode with Activated Coconut Carbon for Microbial Fuel Cell by Paweł P. Włodarczyk, Barbara Włodarczyk

“…During the experiment, parameters such as start-up time, cell voltage during MFC start-up, output cell voltage, and power density curves were analyzed. …”
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Research on Heat Transfer Coefficient Prediction of Printed Circuit Plate Heat Exchanger Based on Deep Learning by Yi Su, Yongchen Zhao, Jingjin Wu, Ling Zhang

“…Additionally, this study introduces the SHAP interpretable analysis method to elucidate model predictions, revealing the contributions of different features to model outputs. …”
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GLR: Graph Chain-of-Thought with LoRA Fine-Tuning and Confidence Ranking for Knowledge Graph Completion by Yifei Chen, Xuliang Duan, Yan Guo

“…Although recent knowledge graph completion (KGC) methods based on representation learning have achieved notable progress, they still suffer from two fundamental limitations, namely the lack of structured reasoning capabilities and the inability to assess the confidence of their predictions, which often results in unreliable outputs. …”
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Coordinated Sliding Mode and Model Predictive Control for Enhanced Fault Ride-Through in DFIG Wind Turbines by Ahmed Muthanna Nori, Ali Kadhim Abdulabbas, Tawfiq M. Aljohani

“…The proposed approach integrates a Dynamic Voltage Restorer (DVR) in series with a Wind Turbine Generator (WTG) output terminal to enhance the Fault Ride-Through (FRT) capability during grid disturbances. …”
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Modified fuzzy logic and artificial bee colony: An artificial intelligence approach to optimization and power quality improvement in an MPPT-based system by Musawenkosi Lethumcebo Thanduxolo Zulu, Rudiren Sarma, Remy Tiako

“…Microgrids are the most efficient method for generating, distributing, and regulating power for consumers using localized distributed energy resources. …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Extensive experiments conducted on widely used benchmark datasets, including DIV2K, Set5, Set14, B100, and Urban100, demonstrate that, compared with existing deep learning-based SR methods, our ODConvNet method improves Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM), and the visual quality of SR images is also improved. …”
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Crystal growth and characterization of 1-inch GTAGG: Ce single crystal for sub-micron resolution synchrotron radiation X-ray imaging by Kazuya Omuro, Masao Yoshino, Liudmila Gushchina, Seiichi Yamamoto, Kohei Nakanishi, Kei Kamada, Karol Bartosiewicz, Kyoung Jin Kim, Takahiko Horiai, Rikito Murakami, Akihiro Yamaji, Takashi Hanada, Yuui Yokota, Shunsuke Kurosawa, Yuji Ohashi, Hiroki Sato, Jun Kataoka, Akira Yoshikawa

“…A transparent 1-inch diameter single crystal was grown using the Czochralski method, demonstrating a significant advancement in large-scale scintillator production. …”
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Spatial Model for Determining the Optimum Placement of Logistics Centers in a Predefined Economic Area by Ramona Iulia Țarțavulea (Dieaconescu), Mihaela Gabriela Belu, Dorel Mihai Paraschiv, Ioan Popa

“…The process of globalization has stimulated the demand for logistics services at a level of speed and increased efficiency, which involves using of techniques, tools, technologies and modern models in supply chain management. …”
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A comprehensive review of artificial intelligence applications in wind energy power generation by Pouya Moshtaghi, Najmeh Hajialigol, Behnam Rafiei

“…In recent years, data-driven approaches and machine learning-based methods have helped to enhance the operation and maintenance (O&M) of wind farms. …”
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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…It systematically categorizes and elucidates the various types of datasets, measurement techniques, detection algorithms, and output results of streaming data. Furthermore, the review critically compares network security application scenarios and problem-solving capabilities of streaming data anomaly detection methods. …”
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