Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

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Collective predator evasion: Putting the criticality hypothesis to the test. by Pascal P Klamser, Pawel Romanczuk

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Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System by Imane Ait Ayad, Elmostafa Elwarraki, Mohamed Baghdadi

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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

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A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs by Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu

“…The operation mode of the systolic array is divided into channel blocks, and the calculation method is optimized to increase the utilization of on-chip computing resources and enhance the calculation efficiency. …”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

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Application of interactive AI system based on image recognition in rural landscape design by Da He

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MPDP -medoids: Multiple partition differential privacy preserving -medoids clustering for data publishing in the Internet of Medical Things by Zekun Zhang, Tongtong Wu, Xiaoting Sun, Jiguo Yu

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5 G WiFi Signal-Based Indoor Localization System Using Cluster -Nearest Neighbor Algorithm by Feng Yu, Minghua Jiang, Jing Liang, Xiao Qin, Ming Hu, Tao Peng, Xinrong Hu

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Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication by Bojia Zhao, Danyang Qin, Yuhong Chen, Jiaqiang Yang, Huapeng Tang, Lin Ma

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Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management by Meysam Alizamir, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim, Jeong Eun Lee

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A fast and efficient green apple object detection model based on Foveabox by Weikuan Jia, Zhifen Wang, Zhonghua Zhang, Xinbo Yang, Sujuan Hou, Yuanjie Zheng

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Performance Evaluation of Hybrid System (PV/ Wind/ Battery) Integrated with Smart Grids by Ahmed Yahia Yaseen

“…Modern technologies in computer, telecommunication, supervisors, networking, and sensor measurement are used by SGs to increase the dependability and effectiveness of the entire system. …”
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HD-RMPC: A Hierarchical Distributed and Robust Model Predictive Control Framework for Urban Traffic Signal Timing by Yilong Ren, Han Jiang, Le Zhang, Runkun Liu, Haiyang Yu

“…However, the relatively complex online computing, lack of reasonable setpoints for target solving, and uncertainty of traffic network hinder MPC from being further applied. …”
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Big Data: Survey, Technologies, Opportunities, and Challenges by Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamaleldin Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, Abdullah Gani

“…By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. …”
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Real-time measurement of spatial distance to external breakage hazards of transmission pole tower based on monocular vision. by Ruchao Liao, Duanjiao Li, Changyu Li, Wenxing Sun, Gao Liu, Cong Wang

“…The method first uses a Transformer network to optimize the distribution of pseudo point clouds and designs a 3D monocular vision distance measurement method based on LiDAR. …”
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Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies by Venkata Reddy Kota, Bapayya Naidu Kommula, Asif Afzal, Mohammad Asif, Liew Tze Hui

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SGSNet: a lightweight deep learning model for strawberry growth stage detection by Zhiyu Li, Jianping Wang, Guohong Gao, Yufeng Lei, Chenping Zhao, Yan Wang, Haofan Bai, Yuqing Liu, Xiaojuan Guo, Qian Li

“…An innovative lightweight convolutional neural network, named GrowthNet, is designed as the backbone of SGSNet, facilitating efficient feature extraction while significantly reducing model parameters and computational complexity. …”
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Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

“…We applied AutoML and weight-sharing deep neural networks to predict current-voltage (I-V) characteristics of GGNMOS and extract performance metrics: triggering point (<inline-formula> <tex-math notation="LaTeX">$I_{t1}, V_{t1}$ </tex-math></inline-formula>), holding point (<inline-formula> <tex-math notation="LaTeX">$I_{h}, V_{h}$ </tex-math></inline-formula>), thermal breakdown point (<inline-formula> <tex-math notation="LaTeX">$I_{t2}, V_{t2}$ </tex-math></inline-formula>), and discharge resistance <inline-formula> <tex-math notation="LaTeX">$R_{on}$ </tex-math></inline-formula>. …”
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Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method by Bingheng Han, Jinhong Sun

“…This process relies on the learning of the SAC network structure. Finally, PP is used to generate the front wheel angle control value by combining the current speed and the predicted preview point. …”
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