From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management by Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal, Jaspreet Kumar, Naghmeh Asadimanesh, Surbhi Dadwal, Vibhor Ahluwalia, Sidhartha Gautam Senapati, Shivaram P. Arunachalam

“…Methods: AI leverages advanced techniques such as computer vision and deep learning to analyze patient data, including medical history, symptoms, physical examinations, and imaging (e.g., ultrasounds, venography). …”
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A Self-Supervised Contrastive Framework for Specific Emitter Identification with Limited Labeled Data by Jiaqi Wang, Lishu Guo, Pengfei Liu, Peng Shang, Xiaochun Lu, Hang Zhao

“…However, in real-world scenarios, the scarcity of accurately labeled data poses a significant challenge to these methods, which typically rely on large-scale supervised training. …”
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Energy Efficiency Measurement Method and Thermal Environment in Data Centers—A Literature Review by Zaki Ghifari Muhamad Setyo, Hom Bahadur Rijal, Naja Aqilah, Norhayati Abdullah

“…The results indicated an average information technology (IT) power usage of 44.8% and a PUE of 2.23, which reflects average efficiency, while passive cooling was found to be more applicable to larger-scale data centers, such as Hyperscale or Colocation facilities. …”
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An accuracy-privacy optimization framework considering user’s privacy requirements for data stream mining by Waruni Hewage, R. Sinha, M. Asif Naeem

“…By addressing critical gaps in privacy-preserving data mining, this study offers significant contributions to real-world applications, facilitating secure and efficient data utilization in dynamic environments.…”
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New Inspection Method and Experience by Introducing HoloLens into Information Fusion and Data Mining by Guodong GUO, Yanfeng GONG, Di WU, Jianqiao PAN, Fangzhao YU, Bailang PAN, Huan LI

“…At present, most inspection methods for substation have the problem of incomplete information acquisition, which is mainly reflected in two aspects: the loss of information caused by improper preservation of inspection information and the waste of information caused by the inability of the inspection system to obtain SCADA data in time. With the development of smart grid, power big data has more and more applications in equipment state estimation and so on. …”
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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…The primary emphasis is on predicting and optimizing ventilation and sedation strategies for patients in Intensive Care Units. We safeguard patient data in the MIMIC-III dataset while preserving analytical utility by integrating differential privacy techniques, such as Gaussian, Laplace, Exponential, Zero-Concentrated, and Rényi mechanisms. …”
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Assessing the Impact of Land Use on Dew Yield Using Remote Sensing Data in Taiwan by J. J. Lin, A. N. Arslan, A. N. Arslan

“…This study integrates the Nocturnal Condensation Potential Index (NCPI) with satellite-derived Leaf Area Index (LAI) and Land Use/Land Cover (LULC) data to evaluate dew condensation potential across Taiwan from May 2016 to April 2017. …”
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Improve The Capacity Of Data Transmission In Orbital Angular Momentum Multiplexing By Adjusting Link Structure by Lin Zhao, Ting Jiang, Min Mao, Yangjie Zhang, Hongzhan Liu, Zhongchao Wei, Dongmei Deng, Aiping Luo

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High-Speed Outlier Removal Filter for LiDAR Sensor Point Cloud Data by Yeun-Sub Byun, Rag-Gyo Jeong

“…This paper proposes an innovative high-speed outlier removal filter designed to efficiently eliminate noise in light detection and ranging (LiDAR) sensor point cloud data, which is essential for real-time autonomous vehicle applications. …”
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Long-Short Term Memory Networks and Synthetic Data for Heavy Vehicle Rollover Prevention by Guido Perboli, Antonio Tota, Filippo Velardocchia

“…At the same time, their heavy requirements in terms of data needs to be addressed to allow practical applications in terms of time and costs. …”
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Secure Delivery Method for Preserving Data Integrity of a Video Frame with Sensitive Objects by You-Rak Choi, Yunhee Kang

“…Data integrity and authenticity verification are essential requirements to provide reliability for applications running in a video delivery system. …”
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Dataset of Sentinel-1 SAR and Sentinel-2 RGB-NDVI imageryMendeley Data by Ahmed Alejandro Cardona-Mesa, Rubén Darío Vásquez-Salazar, Luis Gómez, Carlos M. Travieso-González, Andrés F. Garavito-González, Esteban Vásquez-Cano, Jean Pierre Díaz-Paz

“…By integrating SAR data, which is unaffected by these factors, the dataset offers a robust tool for a wide range of applications, including land cover classification, vegetation monitoring, and environmental change detection. …”
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Development of a data-driven neural network model for electron thermal transport in NSTX by H. Chung, C.Y. Lee, G.J. Choi, S.M. Kaye, B.P. LeBlanc, J.W. Berkery, Y.-S. Na

“…Furthermore, due to the dimensionless nature of the model, we can feasibly expand its applicability by incorporating data from other devices and uncovering the characteristics of ETT in STs in the future.…”
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Research on multi-attribute controller for virtual data domain based on software definition network by Jianmin Wang, Bo Zhang, Tongrang Fan, Zijian Fu, Wenbin Zhao

“…By analyzing the actual usage and virtual distribution of the underlying data resources, a mapping algorithm of network resource overhead–allocation ratio is proposed for adjusting the mapping space of network flow based on the mapping result, so as to meet more virtual domain applications. …”
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Temporal and Spatial Analysis of Pedestrian Count Data for Thermal Environmental Planning in Street Canyons by Hideki Takebayashi, Taichi Hayakawa

“…In this study, we analyzed the spatiotemporal characteristics of pedestrian behavior in street spaces using pedestrian count data—specifically, the number of pedestrians passing in front of infrared sensors installed throughout the downtown area. …”
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A Futuristic Approach to Security in Cloud Data Centers Using a Hybrid Algorithm by Dipankar Chatterjee, Mostaque Md. Morshedur Hassan, Nazrul Islam, Asmita Ray, Munsifa Firdaus Khan Barbhuyan

“…All associations use on-premises data focus. An on-premises data focus suggests that an association maintains all locally required IT systems. …”
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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…The proposed framework encompasses data generation through the integration of three-dimensional (3D) digital core analysis and numerical simulations, followed by data-driven modeling via machine learning (ML) techniques. …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…During the current data era, data analysis across multiple disciplines has become a critical task for researchers to obtain meaningful insights and solve complex problems that are immeasurable using traditional technologies. …”
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Stream Members Only: Data-driven Characterization of Stellar Streams with Mixture Density Networks by Nathaniel Starkman, Jacob Nibauer, Jo Bovy, Jeremy J. Webb, Kiyan Tavangar, Adrian Price-Whelan, Ana Bonaca

“…Importantly, our model is capable of handling data with incomplete phase-space observations, making our method applicable to the growing census of Milky Way stellar streams.…”
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Chlorophyll-a Prediction Based on Machine Learning and Satellite Data in the South Sea of Korea by Heejun Kim, Bong-Guk Kim, Kuk Jin Kim, Tae-Ho Kim, Hye-Kyeong Shin, Jin Hyun Han

“…These advancements are expected to provide foundational data for applications in marine environmental monitoring, sustainable aquaculture management, and harmful algal bloom prediction.…”
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