Synchrony Vision: Capturing Body Motion Synchrony Through Phase Difference Using the Kinect by Jinhwan Kwon

“…Using a phase difference detection algorithm, the system analyzes synchrony offering a comprehensive framework for quantifying interpersonal coordination. …”
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Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…Experimental results show that on the URPC2020 dataset, the method in this paper improves mAP@0.5 by 2% compared to YOLOv7 while reducing the computational complexity by 14.4%.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Implementation of VR application in cultural and tourism integration under the background of smart city and IoT by Wei Huang

“…Experimental results showed that the improved algorithm achieved an F1 score of 0.891 for positive sentiment classification, significantly enhancing overall accuracy. …”
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UAV Robust Strategy Control Based on MAS by Jian Han, Changhong Wang, Guoxing Yi

“…The MAS uses BDI model to support its logical perception and to classify the different missions; then the missions will be allocated by utilizing auction mechanism after analyzing dynamic parameters. Prim potential algorithm, particle swarm algorithm, and reallocation mechanism are proposed to realize the rational decomposing and optimal allocation in order to reach the maximum profit. …”
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Experimental investigation of vibrational signal in a fault induced Francis runner by Prajwal Sapkota, Subarna Paudel, Ravi Poudel, Sailesh Chitrakar, Hari Prasad Neopane, Bhola Thapa

“…The obtained vibration data are analyzed using the Fast Fourier Transform (FFT) algorithm and wavelet transform algorithm to identify frequency-domain characteristics. …”
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Modeling the Dynamic Evolution of the Vehicular Ad Hoc Networks under the City Scenario by Lili Zhang, Yueheng Li, Guoping Tan, Rongbo Zhu, Hao Chen

“…In the end, we analyze and verify the efficiency of our model by theoretical deductions and simulations, and our model will be helpful to find more efficient routing algorithm and build the more trustable simulator of VANET.…”
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Optimal Sizing for Wind/PV/Battery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number by Xin Liu, Hong-Kun Chen, Bing-Qing Huang, Yu-Bo Tao

“…Finally, a power balance strategy is introduced to guide the optimization process with the genetic algorithm to establish the optimal configuration with minimized cost while guaranteeing reliability and environmental factors. …”
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Trajectory privacy data publishing scheme based on local optimisation and R-tree by Peiqian Liu, Duoduo Wu, Zihao Shen, Hui Wang

“…The experiments show that the proposed LORDP algorithm significantly enhances the utility of data compared to other algorithms, and reduces the loss rate of about approximately 2% for per trajectory data, which shows that the present algorithm is extremely effective.…”
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Enhancing Hybrid Flow Shop Scheduling Problem with a Hybrid Metaheuristic and Machine Learning Approach for Dynamic Parameter Tuning by Ahmed Abdulmunem Hussein

“…Specifically, we propose a hybrid algorithm by combining Ant Colony Optimization (ACO) and Iterated Local Search (ILS) to form ACOILS. …”
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Anxiety Detection System Based on Galvanic Skin Response Signals by Abeer Al-Nafjan, Mashael Aldayel

“…Anxiety is a significant mental health concern that can be effectively monitored using physiological signals such as galvanic skin response (GSR). While the potential of machine learning (ML) algorithms to enhance the classification of anxiety based on GSR signals is promising, their effectiveness in this context remains largely underexplored. …”
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Exploring the Best Classification from Average Feature Combination by Jian Hou, Wei-Xue Liu, Hamid Reza Karimi

“…Feature combination is a powerful approach to improve object classification performance. While various combination algorithms have been proposed, average combination is almost always selected as the baseline algorithm to be compared with. …”
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A Truncated Singular Value Decomposition Enhanced Nested Complex Source Beam Method by Lianning Song, Zaiping Nie

“…This work presents a novel matrix compression algorithm to improve the computational efficiency of the nested complex source beam (NCSB) method. …”
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Annotation-free delineation of prokaryotic homology groups. by Yongze Yin, Huw A Ogilvie, Luay Nakhleh

“…We applied our algorithm to a dataset of 19 Enterobacteriaceae species and found that MHGs cover much greater proportions of genomes than markers and, relatedly, are less biased in terms of the functions of the genes they cover. …”
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Congestion control strategy of VANET channel based on load prediction by Yang Ge, Zhu Yonghao

“…Compared with the UBRCC algorithm，this strategy can effectively reduce the transmission delay while controlling channel congestion, ensure the reliable transmission of data packets, and meet the requirements of vehicle safety applications.…”
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Beamforming Optimization for Information Enhancement Transmission in MISO SWIPT with NOMA System by Qing Miao, Longtao Zhou, Jiongqi Wang

“…Detailed simulation experiments indicate that the algorithm improves the performance of NOMA downlink beamforming under the condition of enhancing information and eliminating network interference.…”
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Microgrid system for electric vehicle charging stations integrated with renewable energy sources using a hybrid DOA–SBNN approach by Kommoju Naga Durga Veera Sai Eswar, M. Arun Noyal Doss, Mohammad Shorfuzzaman, Ali Elrashidi

“…The manuscript introduces a hybrid technique for efficient electric vehicle (EV) charging integrating the Dollmaker Optimization algorithm (DOA) and spatial Bayesian neural network (SBNN). …”
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Multi-Objective Optimization of Parking Charging Strategy for Extended-Range Hybrid Electric Vehicle Based on MOMSA by Rong Yang, Jianxiang Lu, Zhiqi Sun, Wei Huang

“…This strategy extends E-RHEV battery lifespan while maintaining operational efficiency.…”
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Land use changes and unsustainable development in the southern ranges of the Alborz ecosystem(case study: Darabad watershed by Razieh Barjandi, Hassan Esmaeilzadeh, Romina Sayyahnia

“…In 1990, more than 20% of the area was vegetation, while this land use has decreased to less than 20% in 2014. …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…This results in a joint optimization framework combining 1) a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm for UAV trajectory control to enhance service coverage and energy efficiency, with 2) a low-complexity task offloading algorithm for UEs. …”
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