Dynamic Vision Sensor Tracking Method Based on Event Correlation Index by Hengyi Lv, Yang Feng, Yisa Zhang, Yuchen Zhao

“…This method will have broad application prospects in security, transportation, etc.…”
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Determination of Practice Course Experiences of Nursing First Class Students in the Pandemic Process by Kübra Berber, Özlem Albayrak

“…Objective: This study was planned to determine the experiences and problems experienced in terms of skill acquisition within the scope of nursing education of first-year nursing students who conduct distance and asynchronous practice courses in clinical, laboratory and simulation applications, which are an indispensable part of nursing education.Method: This descriptive study was conducted with first-year students attending a nursing basics course and continuous active education in the spring semester of the 2019-2020 academic year in a Health School. 88 students who voluntarily agreed to participate in the study were included. …”
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Distributed consensus problem with caching on federated learning framework by Xin Yan, Yiming Qin, Xiaodong Hu, Xiaoling Xiao

“…Federated learning framework facilitates more applications of deep learning algorithms on the existing network architectures, where the model parameters are aggregated in a centralized manner. …”
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Teaching with TED: a curated set of TED Talks and discussion prompts for microbiology and cellular biology courses by Dyan E. Morgan, Eileen Hotze

“…Student feedback about these activities indicates that TED Talks helped students connect classroom material to real-world applications and enhanced their overall learning experience. …”
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Multi-RIS-Assisted 3D Localization and Synchronization via Deep Learning by Alireza Fadakar, Maryam Sabbaghian, Henk Wymeersch

“…Reconfigurable intelligent surfaces (RISs) have received considerable attention in applications related to localization. However, operation in multi-path scenarios is challenging from both complexity and performance perspectives. …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without adequately considering the adverse effect on tracking attributed to the time consuming nature of offline calculation in actual applications. This study presents a visual multiple-object tracking algorithm that leverages multi-characteristic fusion within a multi-thread asynchronous system framework for visual obstacle detection, designed in consideration of actual application environments. …”
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Connecting dreams with visual brainstorming instruction by Yasheng Sun, Bohan Li, Mingchen Zhuge, Deng-Ping Fan, Salman Khan, Fahad Shahbaz Khan, Hideki Koike

“…We hope that this work will motivate the use of brain signals in human-computer interaction applications.…”
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Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…As unmanned aerial vehicle (UAV) technology expands into diverse applications, the demand for enhanced performance intensifies. …”
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Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis by Zhenkai Qin, Qining Luo, Zhidong Zang, Hongpeng Fu

“…However, current methods often face challenges in handling asynchronous signals and capturing long-term dependencies between different modalities. …”
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Collective behavior of higher-order globally coupled oscillatory networks in response to positive and negative couplings by Lixin Yang, Mengjiao Li, Jun Jiang

“…Collective behavior is among the most fascinating complex dynamics in coupled networks with applications in various fields. Recent works have shown that higher-order interactions widely exist in complex systems. …”
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Performance Evaluation of Fixed-Point Continuous Monitoring Systems: Influence of Averaging Time in Complex Emission Environments by David Ball, Nathan Eichenlaub, Ali Lashgari

“…Real-world emission scenarios can involve dynamic operational background emissions and temporally overlapping asynchronous emission events with varying rates from multiple sources. …”
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Efficient Tactile Perception in Robotics: Reducing Data Redundancy through Compression and Normalization in Spiking Graph Convolutional Networks by Elahe Rezaee Ahvanooii, Sheis Abolmaali

“…Recent developments in electronic skin technology have brought robots closer to achieving human-like tactile perception by enabling asynchronous responses to temperature and pressure changes, thereby enhancing robotic precision in tasks like object manipulation and grasping. …”
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Extreme synchronization transitions by Seungjae Lee, Lennart J. Kuklinski, Marc Timme

“…Motivated by recent experimental observations, we here uncover an intriguing class of transitions in coupled oscillators, extreme synchronization transitions, from asynchronous disordered states to synchronous states with almost completely ordered phases. …”
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Learning Difficulties and Coping Mechanisms of Education Students in the Shift to Flexible Learning Modality amidst COVID-19 Pandemic by Rowel Olila

“…As educational institutions struggle to continue despite the ensuing COVID-19 Pandemic, online resources, learning management systems, synchronous and asynchronous teaching and learning modalities, blended and flexible learning, and a thousand different online applications and platforms were sought to facilitate the delivery of quality education still. …”
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Power Harmonic Analysis via Neural Network and Quasi-synchronous Sampling Method by PENG Daming, XIAO Shenping, ZHOU Huanxi

“…Aiming at the accuracy of power system harmonic analysis with asynchronous sampling, a harmonic analysis algorithm based on quasi synchronous sampling algorithm and neural network is proposed in this paper. …”
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Evolution of supraglacial lakes over the pan-Antarctic ice sheet between 2014 and 2022: Assessment and the control factors by Xiao-Yi Shen, Chang-Qing Ke, Hai-Li Li, Yu Cai, Yao Xiao, Meng-Meng Li

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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…In soft real-time (RT) applications, excessive latency can significantly degrade system performance. …”
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A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning by Dexing Wei, Lun Zhang, Mei Yang, Hanqiang Deng, Jian Huang

“…This paper addresses this critical issue by introducing a novel method—temporally asynchronous grouped environment reinforcement learning (TAGRL). …”
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A Review of Distributed Ledger Technologies for Satellite Operations by Beth Probert, Ruaridh A. Clark, Erik Blasch, Malcolm Macdonald

“…By examining analogous applications in swarms of Uncrewed Aerial Systems, and the Internet of Things, key system requirements for decentralised satellite coordination are defined. …”
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Efficient Multi-Sensor Fusion for Cooperative Autonomous Vehicles Leveraging C-ITS Infrastructure and Machine Learning by Jiwon Kwak, Hayoung Jeon, Seokil Song

“…The widespread deployment of Cooperative Intelligent Transport Systems (C-ITS) has elevated the need for robust, real-time sensor fusion strategies capable of handling noisy, asynchronous data from multiple infrastructure sensors. …”
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