RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…First, MobileNetV4 is introduced to optimize initial feature extraction, significantly improving the network’s efficiency. …”
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Automatic Phase Correction of NMR Spectra Using Brute-Force GPU Method by Mario Gazziro, Marcio Luís Munhoz Amorim, Marco Roberto Cavallari, João Paulo Carmo, Alberto Tannus, Oswaldo Hideo Ando Junior, Loren Schwiebert

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Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach by Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, Tariq Ali, Muhammad Ayaz, Yazeed Yasin Ghadi, EL-Hadi M. Aggoune, Habib Hamam

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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

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AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search by Yaochong Li, Jing Zhang, Rigui Zhou, Yi Qu, Ruiqing Xu

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High-performance parallel acceleration method for domestic public key cryptographic algorithm SM2 based on domestic GPU by WU Wen, DONG Jiankuo, LIU Pengbo, DONG Zhenjiang, HU Xin, ZHANG Pinchang, XIAO Fu

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An Optimized Design of New XYθ Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization by Minh Phung Dang, Hieu Giang Le, Ngoc Le Chau, Thanh-Phong Dao

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Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations by Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang

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Applications of Neural Networks for Spectrum Prediction and Inverse Design in the Terahertz Band by Jianfeng Li, Yingzhan Li, Yi Cen, Chao Zhang, Tao Luo, Daquan Yang

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Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes by Eldar Miftakhov, Sofya Mustafina, Anastasiya Kashnikova, Andrey Akimov

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AI-Based Architecture and Distributed Processing for the Detection and Mitigation of Spoofing Attacks in IoT Networks by William Villegas, Iván Ortiz-Garcés, Jaime Govea

“…The proposed approach integrates Convolutional Neural Networks with a distributed processing architecture based on Edge nodes, enabling real-time anomaly detection while reducing computational overhead on central servers. The system was tested in four simulated industrial scenarios involving up to 1,000 IoT devices and multiple concurrent attacks to validate its effectiveness. …”
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Spatiotemporal Monitoring of Cyanobacterial Blooms and Aquatic Vegetation in Jiangsu Province Using AI Earth Platform and Sentinel-2 MSI Data (2019–2024) by Xin Xie, Ting Song, Ge Liu, Tiantian Wang, Qi Yang

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Vectorized Highly Parallel Density-Based Clustering for Applications With Noise by Joseph Arnold Xavier, Juan Pedro Gutierrez Hermosillo Muriedas, Stepan Nassyr, Rocco Sedona, Markus Gotz, Achim Streit, Morris Riedel, Gabriele Cavallaro

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Stochastic Zeroth-Order Multi-Gradient Algorithm for Multi-Objective Optimization by Zhihao Li, Qingtao Wu, Moli Zhang, Lin Wang, Youming Ge, Guoyong Wang

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Influence of Oil Injection Lubrication Parameters of High-Speed Internal Meshing Gear Based on the Computational Fluid Dynamics by Peixun Tang, Zhengminqing Li, Xiangying Hou, Letian Li, Rongsheng Xi, Yiyan Chen

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FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments by Bruno Ramos-Cruz, Francisco J. Quesada-Real, Javier Andreu-Pérez, Jessica Zaqueros-Martinez

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Artificial intelligence computational techniques of flywheel energy storage systems integrated with green energy: A comprehensive review by Abdelmonem Draz, Hossam Ashraf, Peter Makeen

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Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting by Bruno Ferreira, Raquel Barreira, João Caetano, Maria Grazia Quarta, Nelson Carriço

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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

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