Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach by Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, Thomas La Porta

“…One important topic in CPS research is about the atypical event analysis, that is, retrieving the events from massive sensor data and analyzing them with spatial, temporal, and other multidimensional information. …”
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Finding Radial Network Configuration of Distribution System Based on Modified Symbiotic Organisms Search by Thuan Thanh Nguyen, Thanh-Quyen Ngo, Thanh Long Duong, Thang Trung Nguyen

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A method for protecting digital assets from permanent loss in the event of private key loss by Олег Бойко

“…Results. The proposed algorithm ensures that in the event of private key loss, assets are automatically transferred to a backup address after Period T. …”
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The panel threshold analysis of digitalization on manufacturing industry’s green total factor productivity by Lu Liu, Yulong Xin, Bei Liu, Yuankui Pang, Weiran Kong

“…The empirical results show that: (1) Digitalization has a significant threshold impact on IGTFP, and the research results are still robust according to changing the threshold variable algorithm and carrying on a Winsorize test. (2) Industry technological innovation (ITI) plays a threshold role in the process of digitalization impact on IGTFP. (3) Heterogeneity analysis shows that the impact mechanism varies depending on differentiated industry factor intensity and industry pollution degree. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

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A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model by Yi Lu, Jie Yin, Peiyan Chen, Hui Yu, Sirong Huang

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A Framework for Constructing Large-Scale Dynamic Datasets for Water Conservancy Image Recognition Using Multi-Role Collaboration and Intelligent Annotation by Xueying Song, Xiaofeng Wang, Ganggang Zuo, Jiancang Xie

“…A model trained on this dataset achieved an F1-score of 0.9 for identifying water environment problems in rivers and lakes. This research offers an efficient framework for dynamic dataset construction, and the developed methods and tools are expected to promote the application of artificial intelligence in specialized domains.…”
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Steam Generator for Hydrothermal Treatment of Agricultural Equipment by V. A. Gusarov, L. Yu. Yuferev

“…The paper highlights the importance of keeping the working surfaces of agricultural machinery clean and describes the existing modern equipment for its cleaning. (Research purpose) To develop a biofuel system for cleaning machines, equipment and tools in the field. …”
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Investigation of a Novel Common Subexpression Elimination Method for Low Power and Area Efficient DCT Architecture by M. F. Siddiqui, A. W. Reza, J. Kanesan, H. Ramiah

“…A wide interest has been observed to find a low power and area efficient hardware design of discrete cosine transform (DCT) algorithm. This research work proposed a novel Common Subexpression Elimination (CSE) based pipelined architecture for DCT, aimed at reproducing the cost metrics of power and area while maintaining high speed and accuracy in DCT applications. …”
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From an entertaining app to a search engine: A case of user-generated innovation in social media platforms by Mashael Almoqbel, Jana Alrassi, Sara Alzahrani, Hajar Alrashidi, Sabah Jarallah Aldoshan, Abdullah Alatiqi

“…Its remarkable success can be attributed to a sophisticated algorithm employing artificial intelligence and machine learning, tailoring user feeds to align with individual interests. …”
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Enhancing Power Allocation in DAS: A Hybrid Machine Learning and Reinforcement Learning Model by S. Gnanasekar, K. C. Sriharipriya

“…The study concludes with insights into the synergistic benefits of integrating ML and MARL in DAS environments and suggests directions for future research.…”
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Multi-Level Foreground Prompt for Incremental Object Detection by Jianwen Mo, Ronghua Zou, Hua Yuan

“…To address this, this paper proposes a multi-level foreground prompt incremental learning algorithm for single-stage detectors like YOLO, including foreground prompts at the image level, feature map level, and knowledge level. …”
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Robo-advisor enablers and inhibitors: A dual-factor framework and a benefit-risk model integration for understanding customer acceptance by Sindhu Singh, Bhargavi Karamcheti

“…Despite these inherent strengths, the penetration of these algorithm-driven platforms has continued to be suboptimal. …”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The primary goal of the research is to enhance the stiffness and reliability of the structure while reducing its mass. …”
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Status and challenges of UAV recognition methods based on deep learning by LI Qiqin, YANG Ming, REN Haotian, CHANG Haoliang, ZHANG Xiaoqiang, ZHU Xinyu

“…Secondly，it describes the common algorithms for object detection and the backbone network in the algorithms，and then summarises the improvement strategies of improved algorithms for UAV recognition in recent years，and summarises the improvement effect and its shortcomings and limitations. …”
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Enhancements on the Latitudinal and Seasonal Bias Corrections in the SMOS Debiased Non-Bayesian Sea Surface Salinity Retrieval by Aina Garcia-Espriu, Estrella Olmedo, Veronica Gonzalez-Gambau, Cristina Gonzalez-Haro, Antonio Turiel, Yoann Rey-Ricord, Eric Jeansou, Roberto Sabia, Raffaele Crapolicchio, Roger Oliva

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OSTEOPOROSIS TREATMENT ADHERENCE: RESULTS FROM A RETROSPECTIVE COHORT STUDY by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

“…The investigation enrolled 150 women older than 50 years (mean age, 68.8±9.4 years) with OP duration of ≥3 years who had made an outpatient visit to the V.A. Nasonova Research Institute of Rheumatology. Their examination consisted of a survey using a specially designed questionnaire. …”
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Identification and exploration of novel FGFR-1 inhibitors in the Lotus database for Cholangiocarcinoma (CCA) treatment by Samuel Aduramurewa Osunnaya, Wilberforce K. Ndarawit, Ifeoluwa Aderibigbe, Ibilola A. Omolopo, Precious O. Aribisala, Ayodele Oluwasegun Elekan, Adeola Sakirat Adeyemo, Sheriffdeen Abiola Amoo, Olatunde Simbiat Olamiposi, Njogu M. Kimani, Taiwo Hamidat Olaide, Adedoyin John-Joy Owolade, Damilola Samuel Bodun

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Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels [version 2; peer review: 2 approved] by Jiansong Wu, Jitao Cai, Ziqi Han, Yanzhu Hu, Ming Fu, Yuefei Li, Xin Wang, Xiaofu Zou

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Molecular profile of salivary gland tumors: discovering new targets for therapy by A. V. Ignatova, Yu.  V. Alymov, I.  S. Romanov

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