Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…The proposed model incorporates multiple modifications, including integrating a Mix-efficient layer aggregation network within its backbone network to optimize efficiency by reducing parameter generation. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Blockchain technology separates the data chain and trust chain, enabling a distributed architecture that enhances data storage security and trust management robustness. (2) Behavioral Modeling and Defensive Strategies: The shared vehicle service process and user behavior are conceptualized as a Markov Decision Process. Using the Deep Q-Network (DQN) algorithm, the system identifies optimal defensive strategies through multidimensional data interactions. …”
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Research on Monitoring Oceanic Precipitable Water Vapor and Short-Term Rainfall Forecasting Using Low-Cost Global Navigation Satellite System Buoy by Maosheng Zhou, Pengcheng Wang, Zelu Ji, Yunzhou Li, Dingfeng Yu, Zengzhou Hao, Min Li, Delu Pan

“…Additionally, a particle swarm optimization (PSO)-based BP Neural Network model for rainfall prediction achieves high precision, with an R² of 97.8%, an average absolute error of 0.08 mm, and an RMSE of 0.1 mm. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
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A Real-Time Signal Measurement System Using FPGA-Based Deep Learning Accelerators and Microwave Photonic by Longlong Zhang, Tong Zhou, Jie Yang, Yin Li, Zhiwen Zhang, Xiang Hu, Yuanxi Peng

“…Firstly, by introducing the idea of automated framework, we propose a simplest deep neural network (DNN)-based hardware structure, which automatically maps algorithms to hardware modules, supports configurable parameters, and has the advantage of low latency, with an average inference time of only 3.5 μs. …”
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On noise in swap ASAP repeater chains: exact analytics, distributions and tight approximations by Kenneth Goodenough, Tim Coopmans, Don Towsley

“…Losses are one of the main bottlenecks for the distribution of entanglement in quantum networks, which can be overcome by the implementation of quantum repeaters. …”
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GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

“…To address these challenges, this paper proposes a hybrid model combining the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), autoregressive integrated moving average (ARIMA), and long short-term memory (LSTM) networks. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…A training data set was obtained by manual labeling of microscopic images. The optimal number channels in the convolutional layers of a neural network with LeNet-type architecture was determined, which made it possible to classify images as spheres or non-spheres with an accuracy of ≥ 0.995. …”
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Spatial structure and influencing factors of agricultural civilization heritage in the Yellow River Basin by Huizhi Zhang, Fengyi Li, Jiahao Zhang, Hong Liang, Yingang Huangfu

“…Among socio-economic factors, road network density, urbanization rate and GDP are the primary determinants, while among natural factors, annual precipitation, water network density, and average annual temperature play dominant roles.…”
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Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction by Yi Wang

“…The average SSIM of the algorithm in this paper is 0.903, which is closer to 1. …”
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POWER DRIVEN SYNTHESIS OF COMBINATIONAL CIRCUITS ON THE BASE OF CMOS VLSI LIBRARY ELEMENTS by D. I. Cheremisinov, L. D. Cheremisinova

“…The networks are optimized with respect to the die size and average dissipated power by CMOS-circuit implemented on a VLSI chip. …”
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An Energy-Efficient Multi-User’s Resource Allocation Scheme by Zhao Wang, Youming Li, Ting Zou, Xiaoqing Liu, Bin Chen

“…In wireless environment，the increases in the number of users and the demand for a higher rate have triggered rapidly booming energy consumption at the base station.Therefore，energy efficient design in wireless network has become very essential.An energy efficient multi-user OFDM downlink resource allocation scheme was studied，using the distributed way.Firstly，according to user’s average channel gain and the minimum requirements of user’s bits，subcarriers were allocated，combined with the idea of proposed energy-efficient criterion.Then better channels were assigned to each user in accordance with each user’s allocated subcarrier numbers.Again each user’s average bits were assigned on the user’s allocated subcarriers and optimal adjustment using energy-efficient criterion had to be made to ensure the minimum power.The simulation results show that under the conditions of satisfying bit-error rate and transmission rate for users，the power can be reduced by 5～6 dB in the proposed algorithm，compared with the power in the static frequency division multiple access resource allocation.Furthermore，the power can be reduced by 2～4 dB，compared with the power in a existing classical distributed algorithm.…”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Future work will focus on expanding datasets and optimizing network architectures to further improve forecasting accuracy and computational efficiency, enhancing the model’s scalability for broader regional air quality management.…”
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Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob by Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, Paschal Enyinnaya Ohale, Chiamaka Peace Onu, Marcel Ikenna Ejimofor, Suraj Kumar Bhagat, Christian O. Asadu, Christopher C. Obi, Chidiogo Ezekwem

“…Artificial intelligence models such as adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and response surface methodology (RSM) were used in modeling the dephenolization process. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

“…In this study, we introduce a task-driven, multi-task learning framework for training a super-resolution network specifically optimized for optical character recognition tasks. …”
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Propagation-Based Train Rescheduling under Recoverable Delay Disturbances by Jun Zhang, Shuyao Wu, Shejun Deng, Yuling Ye

“…By inputting the scheduled arrival and departure time under different conflict resolution strategies, the timetable optimizing model aims to look for an optimal solution with minimal weighted train delay and average train adjustments under necessary technical and empirical constraints solved by a combined algorithm of Pareto optimality and Nash equilibrium, where the feasible solution space is narrowed in advance by a depth-first pruning algorithm. …”
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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

“…Our key contributions include developing the FoT Balance Management service, which dynamically configures and optimizes the distribution of services across the network. …”
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Performance of fiber-based QAM/FSO systems in turbulence with anisotropic tilt angle and random angular jitter by Chao Zhai, Zhenyuan Xue

“…Free-space optical (FSO) communication system based on fiber coupling can easily connect to terrestrial fiber network, thereby enabling the high-speed real-time space-ground integrated network, while random angular jitter has a substantial influence on fiber-coupling efficiency. …”
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Evolution of documents related to performance in boccia: a paralympic sport bibliometric analysis by Cátia C. Ferreira, Cátia C. Ferreira, Cátia C. Ferreira, Víctor Hernández-Beltrán, José M. Gamonales, José M. Gamonales, Mário C. Espada, Mário C. Espada, Mário C. Espada, Mário C. Espada, Mário C. Espada, Jesús Muñoz-Jiménez

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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…Grouping design of YOLOv7 convolution operation was conducted, and the Focus backbone network was optimized using identity mapping to reduce computation amount and streamline the network structure. …”
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