Expeditionplus: The application of a gridded system in the integration of multidimensional environmental factors by Xinyuan Kuai, Quansheng Fu, Hang Sun, Tao Deng

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Research and Application on Drive Tracking and Testing System for High-speed EMUs by 邓学寿, 肖石

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A Survey of Blockchain Applications for Management in Agriculture and Livestock Internet of Things by Yang Yang, Min Lin, Yangfei Lin, Chen Zhang, Celimuge Wu

“…The findings suggest that blockchain technology not only improves data security and trustworthiness but also opens new avenues for efficient and transparent management in agriculture and animal husbandry.…”
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Analysis and Application Review of User Behavior Trajectory Based on the Location Information by Kang Chen, Xiaoyu Huang, Aibao Wang, Caixia Tao, Yinghui Guan, Lei Li

“…With the rapid development of spatial data collection technology in recent years，many efforts have been devoted to the research on trajectory based user behavior analysis and its applications，due to their academic interests；they also show promising business opportunities.From the application aspect，in principle，current issues in trajectory based user behavior analysis can be classified into two major categories：the intelligent transportation applications and the user behavior based applications.The state-of-the-art progress of these categories were reviewed.For each category，its main focus and related achievements were discussed.What’s more，the main technical characteristics of the means used were also summarized in current studies.…”
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Issues of application of anti-monopoly legislation provisions to the activities of digital platforms by I. N. Dekhtyar, E. N. Konina

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Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends by Maria Trigka, Elias Dritsas

“…Future research directions emphasize bio-inspired architectures, hybrid communication in extreme environments, and efficient multi-modal data fusion. This survey serves as a foundational reference for researchers and practitioners seeking to design resilient, intelligent WSN-based systems for the next generation of applications.…”
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Integrating NMR and MS for Improved Metabolomic Analysis: From Methodologies to Applications by Patricia Homobono Brito de Moura, Guillaume Leleu, Grégory Da Costa, Guillaume Marti, Pierre Pétriacq, Josep Valls Fonayet, Tristan Richard

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Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions by Fei Han, Xiao Huang, Xin Wang, Yong‐feng Chen, Chuang Lu, Shasha Li, Lu Lu, Da‐Wei Zhang

“…Nonetheless, current applications face challenges such as limited real‐time decision autonomy, fragmented medical data silos, standardization gaps restricting model generalization, and ethical/regulatory frameworks lagging behind technological advancements. …”
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Research on network traffic classification based on machine learning and deep learning by Yue GU, Dan LI, Kaihui GAO

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Improving the interoperability of a Function-as-a-Service platform using an orchestration framework with a cloud-agnostic approach by Zameer Ahmed Adhoni, Dayananda Lal Narayan

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A Mathematical Lens on the Zoonotic Transmission of Lassa Virus Infections Leading to Disabilities in Severe Cases by Yasir Ramzan, Hanadi Alzubadi, Aziz Ullah Awan, Kamel Guedri, Mohammed Alharthi, Bandar M. Fadhl

Subjects: “…mathematical application…”
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WEGAN: a web-based community ecology platform by Gina P. Sykes, Gina P. Sykes, Louisa Normington, Jenna Poelzer, Shiyang Zhao, Dana Allen, Samuel Stuart, Eponine Oler, Komal Jot, Vasuk Gautam, Xin Zhao, Jianguo Xia, Glen C. Jickling, David S. Wishart, David S. Wishart, David S. Wishart, David S. Wishart

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The development of 'Petanque match statistics': an android-based application for petanque matches analysis by Nur Salsabila Rhesa Pandhadha Putra, Muchamad Arif Al Ardha, Nurhasan Nurhasan, Kolektus Oky Ristanto, Sauqi Sawa Bikalawan, Rizki Satrio Utomo, Kukuh Pambuka Putra, James Lin, Resfiana Irani

Subjects: “…android application…”
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Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data by Lei ZHANG, Fengyin XU, Jiangnan TONG, Feng ZHANG, Feng WANG, Wei HOU, Yihang CHANG, Songyi HOU, Xiangbing PEI, Zhenyi CAO, Tong CHEN, Xuefeng LI, Ke ZHOU, Yongzhou LI, Huaibin ZHEN, Wenting ZENG

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New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set by Mahdy Esmailian, Reza Azimi, Diego I. Gallardo, Parviz Nasiri

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A Review on High-Speed Electromagnetic Flow Control and Applications Considering Numerical Methods, Simulations, and Experimental Research Data by Yang Du, Jun Liu

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Comparative analysis of data-driven models on detection and classification of electrical faults in transmission systems: Explainability, applicability and industrial implications by Chibueze D. Ukwuoma, Dongsheng Cai, Chiagoziem C. Ukwuoma, Chinedu I. Otuka, Qi Huang

“…In contrast, techniques such as SHAP, LIME, and PDP reveal that the length of the transmission line in Phases A & C significantly influenced Class 1 and Class 5 predictions, with the length of the transmission line in Phase C contributing positively and the length of the transmission line in phase A showing varied effects. An industrial applicability analysis using the Mahalanobis distance plot confirmed that the QDA-P model effectively captured underlying data patterns without significant outliers. …”
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DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications by Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi

“…In this paper, we introduce DREAMS (Deep REport for AI ModelS), a Python-based framework designed to generate automated model cards for deep learning models applied to EEG data. Unlike generic model reporting tools, DREAMS is specifically tailored for EEG-based deep learning applications, incorporating domain-specific metadata, preprocessing details, performance metrics, and uncertainty quantification. …”
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Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2 by Connor C. Mullins, Travis J. Esau, Qamar U. Zaman, Patrick J. Hennessy

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Application of X-bar R Control Charts for Process Efficiency Monitoring: A Data-Driven Approach in Quality Management by Aleksy Kwilinski, Maciej Kardas, Nataliia Trushkina

“…A key contribution of the study lies in its demonstration of the practical applicability of control charts in quality management and the integration of data-driven techniques for process control. …”
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