Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism by Guoqing Zhou, Haoxin Qi, Shuo Shi, Sifu Bi, Xingtao Tang, Wei Gong

“…To address this problem, we introduce the dual attention spectral optimization reconstruction network (DossaNet), leveraging an attention mechanism and spatial–spectral information. …”
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images by Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios, Imran Ashraf

“…The proposed novel hybrid approach, MobDenNet, that synergistically merges the architectures of MobileNetV2 and DenseNet-121 neural networks, yields highly accurate results with precision, recall, and an F1 score of 99%. …”
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Innovative Ghost Channel Spatial Attention Network with Adaptive Activation for Efficient Rice Disease Identification by Yang Zhou, Yang Yang, Dongze Wang, Yuting Zhai, Haoxu Li, Yanlei Xu

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Diabetic retinopathy classification using a multi-attention residual refinement architecture by Zijian Wang, Yi Wang, Chun Ma, Xuan Bao, Ya Li

“…Our framework demonstrates universal applicability across different CNN architectures (ResNet, DenseNet, EfficientNet, MobileNet), consistently achieving 2-5% performance improvements on the EyePACS dataset while maintaining computational efficiency. …”
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Segmentation-Assisted Fusion-Based Classification for Automated CXR Image Analysis by Shilu Kang, Dongfang Li, Jiaxin Xu, Aokun Mei, Hua Huo

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Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models by Jingzhi Wang, Jiayuan Li, Fanjia Meng

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Quality of Experience (QoE) in Cloud Gaming: A Comparative Analysis of Deep Learning Techniques via Facial Emotions in a Virtual Reality Environment by Awais Khan Jumani, Jinglun Shi, Asif Ali Laghari, Muhammad Ahmad Amin, Aftab ul Nabi, Kamlesh Narwani, Yi Zhang

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A high-precision segmentation network for industrial surface defect detection by Hao Chen, Byung-Won Min

“…This design helps mitigate spatial information loss commonly observed in traditional U-Net models. …”
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A Multi-Branch-Based Capsule Network With Structural Reparameterization by Kun Sun, Yuqi Bai, Huishi Yin

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Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs by Ping Dong, Ming Wang, Kuo Li, Hongbo Qiao, Yuyang Zhao, Fernando Bacao, Lei Shi, Wei Guo, Haiping Si

“…The results demonstrate that the improved U²Net model, termed U²Net-plus, achieves an identification accuracy of 91.73% for FHB in large-scale wheat fields, significantly outperforming the original model and other mainstream semantic segmentation models such as U-Net, SegNet, and DeepLabV3+. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

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Application of Hyperspectral Imaging for Watermelon Seed Classification Using Deep Learning and Scoring Mechanism by Hengnian Qi, Mengbo He, Zihong Huang, Jianfang Yan, Chu Zhang

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Decoupled pixel-wise correction for abdominal multi-organ segmentation by Xiangchun Yu, Longjun Ding, Dingwen Zhang, Jianqing Wu, Miaomiao Liang, Jian Zheng, Wei Pang

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Screening of oral potentially malignant disorders and oral cancer using deep learning models by Karishma Madhusudan Desai, Pragya Singh, Mahima Smriti, Vivek Talwar, Manav Chaudhary, George Paul, Subhas Chandra Kolli, Parisa Sai Raghava, Golla Vamshi Krishna, C. V. Jawahar, P. K. Vinod, Varma Konala, Ramanathan Sethuraman

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Comparison of MobilenetV2 and EfficiennetB3 Method to Classify Diseases on Corn Leaves by Riyadi Slamet, Mulya Rezka, Nabila Realisti Aulia

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Detection of cotton crops diseases using customized deep learning model by Hafiz Muhammad Faisal, Muhammad Aqib, Saif Ur Rehman, Khalid Mahmood, Silvia Aparicio Obregon, Rubén Calderón Iglesias, Imran Ashraf

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Altitude aware trajectory prediction methods for non towered terminal airspace by Haipeng Zhu, Qiang Tong, Jinqing Hu, Xiulei Liu, Shoulu Hou

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Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera Data by Loris Nanni, Sheryl Brahnam, Matteo Ruta, Daniele Fabris, Martina Boscolo Bacheto, Tommaso Milanello

“…Multichannel images are fed into an ensemble of Convolutional Neural Networks (CNNs) (ResNet50, MobileNetV2, and DenseNet201), where each network is trained using three channels obtained from the multichannel images, and two custom networks (one based on ResNet50 and the other one based on attention) where the input is a multiband image. …”
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An Enhanced Deep Learning Model for Effective Crop Pest and Disease Detection by Yongqi Yuan, Jinhua Sun, Qian Zhang

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Norepinephrine Transporter Imaging in the Brain of a Rat Model of Depression Using Radioiodinated (2S, αS)-2-(α-(2-iodophenoxy)benzyl)morpholine by Naoki Kanegawa, Yasushi Kiyono, Taku Sugitaa, Yuji Kuge, Yasushisa Fujibayasi, Hideo Saji

“…This radioligand achieved the basic requirements for NET imaging. In this study, we assessed the potential of radioiodinated (S,S)-IPBM as an imaging biomarker of NET to obtain diagnostic information about depression in relation to NET expression in the brain using a rat depression model. …”
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