Utility of synthetic musculoskeletal gaits for generalizable healthcare applications by Yasunori Yamada, Masatomo Kobayashi, Kaoru Shinkawa, Erhan Bilal, James Liao, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai

“…The results indicate that our approach offers an efficient means to augment data size and diversity for developing generalizable healthcare applications involving sensor-based gait analysis.…”
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Federated Learning Applications in Fingerprint and Finger Vein Recognition by Wang Yongchao

“…Transfer learning can also eliminate the applicability issue. It transfers the knowledge gained from training clients with concentrated data to clients with sparse data. …”
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Flexible Capturing Application for Enhanced Generation of EPCIS Events by Fengjuan Jia, Seungwoo Jeon, Bonghee Hong, Joonho Kwon, Yoon-sik Kwak

“…EPCglobal proposed the EPC network which consists of several components such as application level events (ALE) and EPC information service (EPCIS) to deal with the captured data from different layers. …”
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Passive Microwave Imagers, Their Applications, and Benefits: A Review by Nazak Rouzegari, Mohammad Bolboli Zadeh, Claudia Jimenez Arellano, Vesta Afzali Gorooh, Phu Nguyen, Huan Meng, Ralph R. Ferraro, Satya Kalluri, Soroosh Sorooshian, Kuolin Hsu

“…This review examines the relevance, applications, and benefits of PMWI data, focusing on their practical use and benefits to society rather than the specific techniques or algorithms involved in data processing. …”
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Applications of UAV Technologies in Assessment of Transportation Infrastructure Systems by Ahmad Akib Uz Zaman, Ahmed Abdelaty, Mohamed S. Yamany

“…Furthermore, integrating various data-collecting sensors enhances the versatility of UAVs, enabling the acquisition of diverse data types to support comprehensive infrastructure evaluations. …”
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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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Graph Neural Networks: Architectures, Applications, and Future Directions by Valerio Ponzi, Christian Napoli

“…In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in Euclidean spaces. However, many real world applications involve data from non-Euclidean domains, where graphs naturally represent entities and their complex interdependencies. …”
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Mining co-location patterns from distributed spatial data by Sandipan Maiti, R.B.V. Subramanyam

“…Conventional methods are not applicable to distributed temporal data and many applications generating spatial dataset are inherently distributive in nature. …”
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High performance big data computing systems for government governance by Weigang WU, Liang CHANG, Jiangtao REN, Tianlong GU

“…The big data processing system would be one of the major infrastructures of future society.The characteristics and requirements of government governance applications,including multi-domain,multi-entity,etc.…”
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Exploration and Prospects of DeepSeek Applications in Engineering Hydrology by GAO Zi-xuan, SONG Xin-yi

“…[Methods] First, based on the core concepts and characteristics of engineering hydrology discipline, it was concluded that DeepSeek’s application scenarios such as code generation, code rewriting, and code explanation were highly suitable for engineering hydrology, a field heavily dependent on data. …”
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Time-warping analysis for biological signals: methodology and application by Aleksei Krotov, Reza Sharif Razavian, Mohsen Sadeghi, Dagmar Sternad

“…This technique was compared to conventional methods of normalizing or padding data followed by averaging, using synthetized signals with controlled variability and real human data from a complex manipulation task. …”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…In this scenario, several challenges arise in efficiently managing huge amounts of data, especially when IoT applications involve multiple heterogeneous sensor-based sources, necessitating effective data fusion techniques. …”
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Inter-Data Center RDMA: Challenges, Status, and Future Directions by Xiaoying Huang, Jingwei Wang

“…Remote Direct Memory Access (RDMA) has been widely implemented in data centers (DCs) due to its high-bandwidth, low-latency, and low-overhead characteristics. …”
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Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…Subsequently, it provides an in-depth analysis of data-driven fault diagnosis techniques in industrial applications, with particular emphasis on the pivotal role of deep learning algorithms in fault diagnosis. …”
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Knowledge graph applications for identifying resilient forage systems by Amanda J. Ashworth, Alicia Tyson, Timothy Propst, Logan Marshall, Chengkai Li, Jeff J. Volenec, Marisol T. Berti, Valentin Picasso, Jamie L. Foster, Jianzhong Su

“…Abstract Knowledge Graphs organize and connect disparate data for integrating information in a user‐friendly interface for recommendations and applications. …”
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The big challenge for livestock genomics is to make sequence data pay by Johnsson, Martin

“…This paper will argue that one of the biggest challenges for livestock genomics is to make whole-genome sequencing and functional genomics applicable to breeding practice. It discusses potential explanations for why it is so difficult to consistently improve the accuracy of genomic prediction by means of whole-genome sequence data, and three potential attacks on the problem. …”
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Analysis of phenotype array data from Biolog MicroPlates™ by John Bissett, Carol Ann Nolan

“…The Biolog method is potentially advantageous in being relatively simple, fast and economical, and data acquisition can be automated using a microplate reader and applicable software. …”
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Non-Invasive Biomarkers in the Era of Big Data and Machine Learning by Konstantinos Lazaros, Styliani Adam, Marios G. Krokidis, Themis Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis

“…Non-invasive biomarkers represent a transformative alternative, providing diagnostic precision through accessible biological samples or physiological data, including blood, saliva, breath, and wearable health metrics. …”
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High-Performance Data Acquisition for Fourier Transform Mass Spectrometry by Anton N. Kozhinov, Konstantin O. Nagornov, Yury O. Tsybin

“…As FTMS technologies advance with an increasing focus on acquiring and processing big data, FTMS Boosters, and other high-performance DAQ systems are set to become indispensable in addressing the growing demands of data-intensive scientific research and applications. …”
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Continuous dependence on data for quasiautonomous nonlinear boundary value problems by N. Apreutesei

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