A Machine-Learning-Based Classification Method for Meteorological Conditions of Ozone Pollution by Yang Cao, Xiaoli Zhao, Debin Su, Xiang Cheng, Hong Ren

Subjects: “…Back propagation (BP) neural network…”
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On lattice-topological properties of general Wallman spaces by Carmen Vlad

Subjects: “…Normal…”
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Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

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Dual medical image watermarking using SRU-enhanced network and EICC chaotic map by Fei Yan, Zeqian Wang, Kaoru Hirota

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Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

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Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models by Kangwen Sun, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, Xinzhe Ji

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Ground-Target Recognition Method Based on Transfer Learning by Qiuzhan Zhou, Jikang Hu, Huinan Wu, Cong Wang, Pingping Liu, Xinyi Yao

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Healing synchrony? potential benefits of interpersonal synchrony for chronic pain management by Justyna Świdrak, Justyna Świdrak

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RHINITIS: A SHORT REVIEW by Felix Daniel Lucaci, Sorin Marian Mârza, Radu Lăcătuș, Robert Cristian Purdoiu

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Influence of magnetic field on electro-rheological Rayleigh-Taylor instability in composite couple-stress fluids and fluid saturated porous layer by Krishna B. Chavaraddi, Priya M. Gouder, Nagaraj N. Katagi, G.K. Ramesh

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Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

Subjects: “…Convolutional neural networks…”
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Étude paléodémographique et utilisation du feu à Hili N, une sépulture collective en fosse de la fin de l’âge du Bronze ancien aux Émirats Arabes Unis by Esther Gatto, Gautier Basset, Sophie Méry, Kathleen McSweeney

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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph by Yunxuan Tang, Xue Wang, Peng Liu, Tong Li

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Wood's lamp for early detection of Microsporum Canis tinea capitis in children by Dexiang Sun, Jinming Lu, Tao Liu, Jun Wang

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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

Subjects: “…Convolutional neural networks (CNN)…”
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An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach by Sheetal Kumari, Smriti Agarwal, Manish Kumar, Pinki Sharma, Ajay Kumar, Abeer Hashem, Nouf H. Alotaibi, Elsayed Fathi Abd-Allah, Manoj Chandra Garg

Subjects: “…Artificial neural network…”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

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Adversarial detection based on feature invariant in license plate recognition systems by ZHU Xiaoyu, TANG Peng, ZHANG Haochen, QIU Weidong, HUANG Zheng

Subjects: “…deep neural network…”
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Predicting High-Grade Acute Urinary Toxicity and Lower Gastrointestinal Toxicity After Postoperative Volumetric Modulated Arc Therapy for Cervical and Endometrial Cancer Using a Normal Tissue Complication Probability Model by Tianyu Yang, Zhe Ji, Runhong Lei, Ang Qu, Weijuan Jiang, Xiuwen Deng, Ping Jiang

“…This study aims to retrospectively analyze the relationship between dosimetric parameters of organs at risk (OARs) and acute toxicities and provide suggestions for the dose constraints. (2) Methods: A total of 164 postoperative cervical and endometrial cancer patients were retrospectively analyzed, and the endpoints were grade ≥ 2 acute urinary toxicity (AUT) and acute lower gastrointestinal toxicity (ALGIT). The normal tissue complication probability (NTCP) model was established using the logistic regression model. …”
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