Editorial: Computer vision and image synthesis for neurological applications by Chenglong Zou, Chenglong Zou, Chenglong Zou, Shounak Roychowdhury, Saim Rasheed, Raza Ali

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Three-stage cascade architecture-based siamese sliding window network algorithm for object tracking by Zheng Yang, Kaiwen Liu, Quanlong Li, Yandong Hou, Zhiyu Yan

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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things by Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A. Khan, Baraq Ghaleb

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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

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Integrating Forward Modeling and Deep Learning for Precise Detection of Geological Anomalies in Coal Seams Using the Radio Imaging Method by Shun Yang, Yanqing Wu, Yinan Zhao, Mingwei Liu, Peng Lu, Zhifang Liu

Subjects: “…Deep learning…”
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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

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EFFICIENT RETINAL IMAGE SEGMENTATION BY U-NET FOR AGE-RELATED MACULAR DEGENERATION DIAGNOSIS by S Sujatha, Pramod Pandey, D Gnana Rajesh

Subjects: “…biomedical imaging, age-related macular degeneration, deep learning, image analysis, macular deterioration…”
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HRDA-Net: image multiple manipulation detection and location algorithm in real scene by Ye ZHU, Yilin YU, Yingchun GUO

Subjects: “…deep learning…”
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Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

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Susceptibility modeling of hydro-morphological processes considered river topology by Nan Wang, Mingxiao Li, Hongyan Zhang, Weiming Cheng, Chao Du, Luigi Lombardo

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Deep-Learning-Based Method for the Identification of Typical Crops Using Dual-Polarimetric Synthetic Aperture Radar and High-Resolution Optical Images by Xiaoshuang Ma, Le Li, Yinglei Wu

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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

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Impact of Physical Features on Visual Walkability Perception in Urban Commercial Streets by Using Street-View Images and Deep Learning by Gonghu Huang, Yiqing Yu, Mei Lyu, Dong Sun, Bart Dewancker, Weijun Gao

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Deep Learning in Nuclear Industry: A Survey by Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiuling Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv

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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

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Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model by Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass

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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

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Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

Subjects: “…deep learning…”
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