Wearable Fall Detection System with Real-Time Localization and Notification Capabilities by Chin-Kun Tseng, Shi-Jia Huang, Lih-Jen Kau

“…Moreover, the complexity of many existing algorithms poses a challenge for deployment on edge devices, such as wearable systems, which are constrained by limited computational resources and battery life. …”
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Metal Roof Fault Diagnosis Method Based on RBF-SVM by Liman Yang, Lianming Su, Yixuan Wang, Haifeng Jiang, Xueyao Yang, Yunhua Li, Dongkai Shen, Na Wang

“…The experimental results show that the RBF-SVM algorithm can achieve high classification accuracy.…”
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Deep Learning-Based Response-to-Name Detection: Empirical Study on Early Screening of Autism Spectrum Disorder in Children by Ji Wang, Zhaoqing Liu, Yujie Liu, Lin Li, Lingyu Shao, Xiao Zhang, Shuyan Li, Boming Song

“…Early screening and intervention for children with autism spectrum disorder (ASD) is crucial for their long-term outcomes and quality of life, and response-to-name (RTN) tests have shown promise in aiding early detection. …”
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A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment by Xude Huang, Jinbu Tang, Jingchun Luo, Feng Shu, Chen Chen, Wei Chen

“…Obstructive sleep apnea (OSA), one of the most common sleep-related breathing disorders, contributes as a potentially life-threatening disease. In this paper, a wearable functional near-infrared spectroscopy (fNIRS) system for OSA monitoring is proposed. …”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. …”
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Validity and informativity enhancement of ultrasonic testing of cast parts of railway rolling stock by A. N. Kireev, Y. K. Sklifus, M. A. Kireeva

“…To determine the shape of a defect, a dualfrequency defectometry method is proposed. Its principle, algorithm and implemented analytical dependencies are described. …”
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PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse by Einari Vaaras, Manu Airaksinen, Okko Rasanen

“…This paper introduces a novel SSL algorithm for time-series data called Prediction of Functionals from Masked Latents (PFML). …”
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A Study on the Impact of Obstacle Size on Training Models Based on DQN and DDQN by Lu Siyu, Tao Ye, Zeng Junwei, Zuo Qihuan

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Automated software package for selecting transport technology for grain transportation by road freight transport by V. Tsopa, T. Bilko, S. Cheberyachko, O. Deryugin, B. Hrymalo

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Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability by Nuha Alhattab, Fatma Bouabdallah, Enas F. Khairullah, Aishah Aseeri

“…It leverages a reinforcement learning algorithm, enabling nodes to autonomously select their time slots, thereby optimizing the allocation of transmission parameters and TDMA slots. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. …”
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Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan, Ying Wang

“…The construction stage has a significantly higher carbon emission rate than the other stages of their life cycle, but this is difficult to accurately quantify and predict due to the high variability. …”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

“…［Objective］ The bolster hanger, as a critical component of the bolster spring suspension system, is highly susceptible to fatigue cracks due to excessive dynamic loads and prolonged service life, significantly impacting railway operational safety. …”
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Maritime inventory routing with an application to fish feed distribution by Anders Bjelland, Aksel Borgen, Sjur Wold, Kjetil Fagerholt, Dimitri J. Papageorgiou, Kristian Thun, Simen Tung Vadseth

“…Since a commercial MIP-solver can only solve small problem instances, we also propose a matheuristic for solving real-life instances. The matheuristic employs a memetic algorithm, a metaheuristic combining a genetic algorithm with local search to decide how to route the vessels, coupled with a linear program for assigning quantities along the vessel routes. …”
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Italian EoExpert panel recommendation for disease control, switching criteria, and follow-up in eosinophilic esophagitis from pediatric to adult age by Edoardo Vincenzo Savarino, Matteo Fassan, Nicola de Bortoli, Claudio Romano, Antonio Di Sabatino, Roberto Penagini, Francesca Racca, Giovanni Sarnelli, Salvatore Oliva

“…Finally, to validate an algorithm for disease control, switching criteria, and follow-up. …”
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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Genetic architecture of bone marrow fat fraction implies its involvement in osteoporosis risk by Zuyou Wu, Yang Yang, Caibo Ning, Jiali Li, Yimin Cai, Yanmin Li, Zilong Cao, Shuangshuang Tian, Jingyi Peng, Qianying Ma, Chunyi He, Shuting Xia, Jun Chen, Xiaoping Miao, Zhen Li, Ying Zhu, Qian Chu, Jianbo Tian

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DeepD&Cchl: an AI tool for automated 3D single-cell chloroplast detection, counting, and cell type clustering by Qun Su, Le Liu, Zhengsheng Hu, Tao Wang, Huaying Wang, Huaying Wang, Qiuqi Guo, Xinyi Liao, Yan Sha, Feng Li, Zhao Dong, Zhao Dong, Shaokai Yang, Shaokai Yang, Ningjing Liu, Qiong Zhao, Qiong Zhao, Qiong Zhao

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An Ensemble Formal Approach to Improve Energy Efficiency and Data Aggregation in Smart Agriculture by Shahbaz Ahmad, Nadeem Akhtar, Adeel Ahmed, Saman Iftikhar, Shaikhan Bawazeer, Saima Abdullah

“…The use of energy at the cluster level to prolong the network’s life, and the sensors’ battery needs a mechanism during the transmission of data in a wireless network. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

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