Predictive models for overall health of hydroelectric equipment based on multi-measurement point output by Liu Dong, Kong Lijun, Song Jinghui, Zhou Yiming

“…By comparing and analyzing the predictive performance, error results, and real-time prediction performance before and after model optimization, it was concluded that the prediction model constructed by SBM, hypersphere algorithm, and LSTM network had an overall average improvement of 23.7% in the prediction precision of 12 parameters, including temperature, vibration frequency, pressure, and lubrication degree, for the optimized upper guide bearing, thrust guide bearing, and water guide bearing systems. …”
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Co-evolution model of traffic travel and disease transmission under limited resources by Zhanhao Liang, Kadyrkulova Kyial Kudayberdievna, Guijun wu, Zhantu Liang, Batyrkanov Jenish Isakunovich, Wei Xiong, Wei Meng, Yukai Li

“…Furthermore, reducing network connectivity (lower average degree) proves effective in mitigating outbreaks, especially under low travel willingness. …”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

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A Multi-Level Speed Guidance Cooperative Approach Based on Bidirectional Periodic Green Wave Coordination Under Intelligent and Connected Environment by Luxi Dong, Xiaolan Xie, Lieping Zhang, Shuiwang Li, Zhiqian Yang

“…A bi-level combinatorial optimization method is constructed through a combinatorial deep Q learning method, named Deep Q Network-Genetic Algorithm (DQNGA), with the objective of obtaining the global optimal solution. …”
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Parametric Modeling and Evaluation of Departure and Arrival Air Routes for Urban Logistics UAVs by Zhongming Li, Yifei Zhao, Xinhui Ren

“…Properly increasing these two parameters can lead to a 28.4% reduction in the average delay. The two optimized configurations, derived through further refinement, show better trade-offs between average delay and flight time than any of the fundamental configurations. …”
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A Multivariate LSTM Model for Short-Term Water Demand Forecasting by Aly K. Salem, Ahmed A. Abokifa

“…Accurate water demand forecasting is crucial for the effective operation and management of water distribution networks. Predicting future water demand empowers utilities to optimally operate system components. …”
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Caching strategy based on transmission delay for D2D cooperative edge caching system by Yan CAI, Fan WU, Hongbo ZHU

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A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA by Yongjie Yang, Hao Yang, Fandi Meng

“…During the training process, the backpropagation (BP) algorithm is used to compute the gradient of the loss function and update the parameters of the entire network, gradually optimizing the model’s performance. …”
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Construction of an Intelligent Analysis System for Crop Health Status Based on Drone Remote Sensing Data and CNN by Haolin Yang, Peilong Xu, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…Specifically, the system adopts a multi-scale attention convolutional network to optimize crop classification, improves the cyclic consistent adversarial network for remote sensing image translation to enhance the dataset, and improves the lightweight MobileNet V2 for disease and pest recognition. …”
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Changes in Climate and Snow Cover in View of Functioning of Ski Resorts in Russia in the Early 21th Century by V. V. Vinogradova, T. B. Titkova

“…In the conditions of the current climate, the average and maximum thickness of snow cover in all resorts is sufficient for their functioning, but in 2000–2021, a decrease in both the maximum and average values of snow cover is noted in most resorts. …”
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Natural Occlusion-Based Backdoor Attacks: A Novel Approach to Compromising Pedestrian Detectors by Qiong Li, Yalun Wu, Qihuan Li, Xiaoshu Cui, Yuanwan Chen, Xiaolin Chang, Jiqiang Liu, Wenjia Niu

“…Pedestrian detection systems are widely used in safety-critical domains such as autonomous driving, where deep neural networks accurately perceive individuals and distinguish them from other objects. …”
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AYOLO: Development of a Real-Time Object Detection Model for the Detection of Secretly Cultivated Plants by Ali Yılmaz, Yüksel Yurtay, Nilüfer Yurtay

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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…We conclude with a discussion on the implications of the findings from our study of snow dynamics and climate variables using gridded SWE data, computer vision metrics, and fully convolutional deep neural networks.…”
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FPGA Hardware Acceleration of AI Models for Real-Time Breast Cancer Classification by Ayoub Mhaouch, Wafa Gtifa, Mohsen Machhout

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HOODIE: Hybrid Computation Offloading via Distributed Deep Reinforcement Learning in Delay-Aware Cloud-Edge Continuum by Anastasios E. Giannopoulos, Ilias Paralikas, Sotirios T. Spantideas, Panagiotis Trakadas

“…To further enhance the system pro-activity and learning stability, we incorporate techniques such as Long Short-term Memory (LSTM), Dueling deep Q-networks (DQN), and double-DQN. Extensive simulation results demonstrate that HOODIE effectively reduces task drop rates and average task processing delays, outperforming several baseline methods under changing CEC settings and dynamic conditions.…”
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The thermal conductivity characteristics and prediction models of limestone sand-yellow soil mixtures by Xiong Liu, Ruiyong Mao, Zujing Zhang, Hongwei Wu, Xing Liang, Jing Chen

“…A backpropagation neural network - based predictive model for thermal conductivity, developed from experimental data, achieved 6.4 % average absolute percentage error, indicating good accuracy.…”
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Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities by Yipeng Zhang, Meixia Wang

“…Meanwhile, notable regional disparities exist in EWP, with the highest average performance in the east, followed by the west, and the lowest in the central. …”
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Contrastive learning of similarity meta-path clustering for multi-behavior recommendation by Juan Liao, Aman Jantan, Zhe Liu, Himanshu Dhumras, Omed Hassan Ahmed

“…Finally, CSMC jointly optimizes multi-behavior and meta-path contrastive objectives to extract both local and high-order semantic signals within a heterogeneous information network graph. …”
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