Multi-modal framework for battery state of health evaluation using open-source electric vehicle data by Hongao Liu, Chang Li, Xiaosong Hu, Jinwen Li, Kai Zhang, Yang Xie, Ranglei Wu, Ziyou Song

“…Abstract Accurate, practical, and robust evaluation of the battery state of health is crucial to the efficient and reliable operation of electric vehicles. However, the limited availability of large-scale, high-quality field data hinders the development of the battery management system for state of health estimation, lifetime prediction, and fault detection in various applications. …”
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Possibilities of Using a Multispectral Camera to Assess the Effects of Biostimulant Application in Soybean Cultivation by Paweł Karpiński, Sławomir Kocira

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Advancements in Research on Preoperative Localization of Pulmonary Nodules by Jialong CHEN, Lei ZHOU, Lingling QIN, Chunlai LIU

“…By critically analyzing their operational principles, efficacy, safety profiles, and clinical applicability, this paper aims to provide evidence-based recommendations for optimizing clinical decision-making in pulmonary nodule management.…”
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Study on X-ray fluorescence measurement method for Fe content in secondary circuit sampling filter membranes of nuclear power plants by Yu Zhang, Jin-Zhe Zhang, Hong-Yu Chen

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A Wind Turbines Dataset for South Africa: OpenStreetMap Data, Deep Learning Based Geo-Coordinate Correction and Capacity Analysis by Maximilian Kleebauer, Stefan Karamanski, Doron Callies, Martin Braun

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Field programmable silicon microring WDM transceiver leveraging monolithically integrated phase-change materials by Xing Yang, Shihuan Ran, Ziquan Li, Liangjun Lu, Yu Li, Ngon Phu Wai, MingHua Zhang, Guo-Qiang Lo, Jianping Chen, Linjie Zhou

“…Additionally, as enabled by such unique programmability, we propose a feedback scheme to counteract ambient temperature fluctuations as a real-time thermal management strategy during operation, employing one of the MRRs as an optical power monitor to stabilize the modulation of the remaining resonators. …”
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BIONIC PROSTHESES - FEATURES, KINDS AND POSSIBILITIES by Nikola Sabev, Ivan Ralev

“…Ways of detecting signals from neurons using properties of electromyography and electroencephalography are discussed. …”
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Machine Learning based OTN Network Performance Degradation Prediction by CHEN Liping, LIAO Liang, ZHANG Peng, ZHU Dehan, PENG Zhichong, ZHOU Hao

“…Frame error performance metrics in OTN rely on the detection of Bit Interleaved Parity (BIP) bytes in OTN frame overhead, which are periodically calculated by network management systems. …”
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Urgent Implementation of Regulatory Technology and Supervisory Technology in the Financial Technology Industry by Recca Ayu Hapsari, Mahkota Djati Sinto Resmi, Melisa Safitri

“…Financial technology operators carry out regulatory technology implementation with five basic regulatory technology implementation programs, namely e-KYC, e-reporting, fraud detection, regulatory compliance, and risk management, as well as the application of supervisory technology carried out by regulators with five basic programs for implementing supervisory technology, namely in the form of data analytics, e-reporting, tax reporting mining, customer support technology, and e-licensing. …”
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Research and practice on technologies for full stack deployment of autonomous networks by Fei XUE, Bin CHEN, Jing LIU, Xiaoyang LIANG, Lin ZHU, Feng WANG, Tian LI, Liang ZHANG, Zhenzhen CHEN, Xiao LI

“…Autonomous networks achieve network self management, self optimization, and self repair by building intelligent network infrastructure.Autonomous network was divided into two key stages: AI model building and AI model deployment.However, the industry paid less attention to AI model deployment.The deployment phase of autonomous networks was systematically studied.Firstly, it elaborated on the independent deployment mode and full stack deployment mode of autonomous networks, and pointed out that full stack deployment was the main direction.Secondly, a detailed introduction was given to the full stack architecture with “five layers, dual domains, and four closed-loops”, which achieved full life cycle intelligence through a layered closed-loop design of resources and processes.Then, three core technologies for independent innovation were proposed: AI model training and inference integration to achieve rapid iterative updates of models, AI fabric technology to achieve customized application by rapid construction, and AI model cloud-edge collaborative deployment technology to achieve efficient application.Finally, the effectiveness of these three core technologies was verified through cases such as anomaly detection, smart telecommunication rooms, and equipment inspections.The deployment of autonomous networks was systematically explored, especially in terms of architecture design and core technology innovation, which had important reference value for telecommunication operators’ network digital transformation.…”
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Development of a Training Station for the Orientation of Dice Parts with Machine Vision by Penko Mitev

“…There are jobs for each possible orientation of the dice and also a small HMI where the dice sequences could be adjusted by the operator(generally students). The main benefit for the students is the opportunity to program the PLC and to adjust the camera jobs for the detection of each possible orientation. …”
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Design and Implementation of Network and Server Monitoring Using Zabbix at The Financial and Development Supervisory Agency by Denna Irianto, Verdi Yasin, Anton Zulkarnain Sianipar

“…In conclusion, the implementation of Zabbix has successfully increased efficiency in IT infrastructure management at BPKP and can be used as a basis for developing broader monitoring for all BPKP representatives.…”
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Design of intelligent vehicular and sensor communication network: a comprehensive survey by Arslan Ahmed Amin, Ansa Mubarak, Habib Ulla Manzoor

“…It highlights the comprehensive sensor technologies such as Radar, Light Detection and Ranging (LiDAR), Cameras, and Ultrasonic sensors that aim to collect and synchronize data for vehicle operation and safety. …”
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Design and development of a real-time monitoring system for TMSR molten salt pumps by ZHOU Wen, HOU Jie

“…State monitoring of MSP is an effective method for ensuring the safe operation of the system.PurposeThis study aims to design and develop a real-time monitoring system for timely detection of abnormalities in MSP and system operation, providing a basis for condition-based maintenance, the state monitoring and abnormal signal localization of a MSP system.MethodsBased on the Windows Presentation Foundation (WPF) and Model-View-ViewModel (MVVM), a desktop application for the real-time monitoring system of MSP was developed. …”
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Urban sentinel: advancing structural health monitoring for building damage measurement in districts through IoT integration and self-optimizing machine learning by Parsa Parsafar

“…By leveraging IoT technology, Urban Sentinel enables real-time data collection, allowing for the timely detection of anomalies and potential risks. The integration of regression AI systems enhances the predictive capabilities of the management system, enabling proactive maintenance and optimization of urban infrastructure. …”
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Performance validation of deep-learning-based approach in stool examination by Kristal Dale Felimon Corpuz, Teera Kusolsuk, Benjamaporn Wongphan, Putza Chonsawat, Kaung Myat Naing, Siridech Boonsang, Veerayuth Kittichai, Chia-Kwung Fan, Santhad Chuwongin, Dorn Watthanakulpanich

“…This hybridization could enhance early detection and diagnosis, facilitating timely and targeted interventions to reduce the burden of IPI through more effective management and prevention strategies. …”
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Redefining text-to-SQL metrics by incorporating semantic and structural similarity by Giovanni Pinna, Yuriy Perezhohin, Luca Manzoni, Mauro Castelli, Andrea De Lorenzo

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Research on Q-Learning-Based Cooperative Optimization Methodology for Dynamic Task Scheduling and Energy Consumption in Underwater Pan-Tilt Systems by Shan Tao, Lei Yang, Xiaobo Zhang, Shengya Zhao, Kun Liu, Xinran Tian, Hengxin Xu

“…Given the harsh working conditions of underwater pan-tilt systems, their energy consumption management is particularly crucial. This study proposes an underwater pan-tilt operation method with an automatic wake-up mechanism, which activates only upon target detection, replacing conventional timer-based triggering. …”
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A Case Report on Alveolar Rhabdomyosarcoma in an Indigenous Dog by Farjana Akter, Md. Zillur Rahman, Mohammad Mahbubur Rahman, Bristy Dhar Nandita, Md. Foisal Shikder, Md. Piar Rahaman Shihab, Monoar Sayeed Pallab

“…This report highlights the challenges in diagnosing and treating ARMS in indigenous dogs and emphasizes the need for further research and diagnostic markers to improve detection and management.…”
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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

“…This provides essential data and technical support for the safe, stable operation of natural gas pipeline networks and refined linepack management, assisting pipeline network companies in detecting inlet-outlet imbalances and ensuring fair access to pipeline network infrastructure.…”
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