Ranking of the Territory of Sochi by the Risk of Infection with HFRS Using the Method of Maximum Entropy by E. V. Chehvalova, E. A. Manin, A. N. Kulichenko

“…Based on the application of the maximum entropy algorithm implemented in the MaxEnt program, as well as the ArcGIS 10 program.8. …”
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Qualification of beatings as non-live-threatening and non-health-threatening violence by O. V. Artyushina

“…The subject. The algorithm of qualification of beatings is researched taking into account changes in the Russian legislation of Russia on the protection of bodily integrity of a person. …”
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Two-stage revision hip arthroplasty in the treatment of periprosthetic joint infection by I. A. Dmitrov, N. V. Zagorodniy, V. N. Obolenskiy, P. Sh. Leval', N. G. Zakharyan, V. S. Apresyan, S. V. Bezverkhiy, R. N. Aliev, D. A. Samkovich, A. A. Grigoryan

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Holiday ride-hailing at intercity transfer hubs: Where space squeezes and time stretches by Zhuonan Jiang, Tianqi Gu, Zhuo Chen, Hua Liang, Jiao Jiao, Han Li

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A parameter centric service discovery framework for social digital twins in smart City by Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya

“…Thus, to solve this issue, this research proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for Social IoT and studies their relative importance based on a dataset of real objects. …”
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Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study by Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

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A Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes by Muhammad Azhar, Mansoor Ahmed Khuhro, Muhammad Waqas, Umair Saeed, Mehar Khan Niazi

“…In addition to the main concepts, this paper highlights the intuition behind the use RL and deep Q-network (DQN) over other algorithms. …”
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Identification of aquifer heterogeneity through inverse methods by Ackerer, Philippe, Carrera, Jesus, Delay, Frédérick

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MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare by Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora

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Smart Wireless Sensor Networks (WSNs): A Review on Concepts, Techniques, and Applications by Ali Hassan Sial, Muhammad Shafiq, Zubair Sajid Sial, Saleem Ahmed

“… In this modern era, Wireless Sensor Networks (WSNs) are considered rapidly evolving areas of computational research that constitute energy consumption, routing algorithms, and location-based sensors with a sole focus on robustness, efficiency, and improved performance metrics. …”
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Learning Analytics: A Data Mining and Machine Learning Perspective by Salam Ullah Khan, Kifayat Ullah, Mahvash Arsalan Lodhi, Sadaqat Ali Khan Bangash

“… Tremendous proliferation in data generation in the past few years has paved the way for new research and the development of new and improved techniques and algorithms in different fields of science and education. …”
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Cutting through the noise: A Three-Way Comparison of Median, Adaptive Median, and Non-Local Means Filter for MRI Images by Raniya Ashraf, Roz Nisha, Fahad Shamim, Sarmad Shams

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Analysis of Sulawesi Earthquake Data from 2019 to 2023 using DBSCAN Clustering by Ody Octora Wijaya, Rushendra

“…This study analyses earthquake occurrence data in the Sulawesi region from 2019 to 2023 using clustering methods with the DBSCAN algorithm. The utilization of the DBSCAN algorithm was chosen for its ability to cluster data based on spatial density, well-suited for analyzing the spatial patterns of earthquakes. …”
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FOCMLAD approach： angle estimation for MMW-FMCW radar under unknown correlated clutter noise by Mao Yuqian, Sheng Jisong, Zhang Lianjiang, Wang Qiang

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Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers by Jian Xu, Xianjun Gao, Zaiai Wang, Guozhong Li, Hualong Luan, Xuejun Cheng, Shiming Yao, Lihua Wang, Sunan Shi, Xiao Xiao, Xudong Xie

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Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Socia... by Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang

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Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review by Qaisar Ayyub

“… The Internet of Things (IoT) based Wireless Body Area Networks (WBAN), play a very important role in the implementation of IoT devices. It is an upcoming research area in which we implement new advancement techniques, such as various algorithms. …”
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Machine Learning Model for Detecting Attack in Service Supply Chain by ASMAU OYINLADE OLANIYI, O. A Ayeni, M. G. Adewunmi

“…Supply chain attacks exploit weaknesses in third-party vendors, software updates, and service providers, mainly posing a cybersecurity problem. Traditional detection methods often lag behind these sophisticated attacks. …”
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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

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Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

“…The area of ventilation environments graded as extremely good increases significantly from 2030 to 2050. These areas are mainly distributed around large water bodies such as the Fen River and the Jinyang Lake.ConclusionIn this research, a dynamic simulation model of the urban ventilation environment is constructed and the spatial distribution of the ventilation environment under different scenarios is mapped. …”
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