How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? von Zhang, Xin, Han, Liangxiu, Han, Lianghao, Zhu, Liang

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A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral–Spatial Features of Unlabeled Remote Sensing Imagery von Zhang, Xin, Han, Liangxiu

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Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery von Shi, Yue, Han, Liangxiu, Kleerekoper, Anthony, Chang, Sheng, Hu, Tongle

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A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images von Zhang, Xin, Han, Liangxiu, Dong, Yingying, Shi, Yue, Huang, Wenjiang, Han, Lianghao, González-Moreno, Pablo, Ma, Huiqin, Ye, Huichun, Sobeih, Tam

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A Multiple-Layer Representation Learning Model for Network-Based Attack Detection von Zhang, Xueqin, Chen, Jiahao, Zhou, Yue, Han, Liangxiu, Lin, Jiajun

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A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data von Zhang, Xin, Han, Liangxiu, Robinson, Mark, Gallagher, Anthony

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Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review von Haleem, Muhammad Salman, Han, Liangxiu, van Hemert, Jano, Li, Baihua

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Computational modelling unveils how epiblast remodelling and positioning rely on trophectoderm morphogenesis during mouse implantation von Dokmegang, Joel, Yap, Moi Hoon, Han, Liangxiu, Cavaliere, Matteo, Doursat, Rene

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Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks von Dai, Min, Sun, Wenjing, Wang, Lixing, Dorjoy, Md Mehedi Hassan, Zhang, Shanwen, Miao, Hong, Han, Liangxiu, Zhang, Xin, Wang, Mingyou

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Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases von Haleem, Muhammad Salman, Liangxiu Han, van Hemert, Jano, Baihua Li, Fleming, Alan

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The Self-Supervised Spectral–Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery von Zhang, Xin, Han, Liangxiu, Sobeih, Tam, Lappin, Lewis, Lee, Mark A., Howard, Andew, Kisdi, Aron

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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm von Han, Liangxiu, Sui, Yuxiu, Lv, Yiding, Muhammad, Khan, Wang, Shui-Hua, Zhang, Yudong

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sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI von Zhang, Xin, Han, Liangxiu, Han, Lianghao, Chen, Haoming, Dancey, Darren, Zhang, Daoqiang

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Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery von Ma, Huiqin, Huang, Wenjiang, Jing, Yuanshu, Yang, Chenghai, Han, Liangxiu, Dong, Yingying, Ye, Huichun, Shi, Yue, Zheng, Qiong, Liu, Linyi, Ruan, Chao

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A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series data von Shi, Yue, Han, Liangxiu, González-Moreno, Pablo, Dancey, Darren, Huang, Wenjiang, Zhang, Zhiqiang, Liu, Yuanyuan, Huang, Mengning, Miao, Hong, Dai, Min

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Graph attention automatic encoder based on contrastive learning for domain recognition of spatial transcriptomics von Wang, Tianqi, Zhu, Huitong, Zhou, Yunlan, Ding, Weihong, Ding, Weichao, Han, Liangxiu, Zhang, Xueqin

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A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning von Akintoye, Samson B., Han, Liangxiu, Zhang, Xin, Chen, Haoming, Zhang, Daoqiang

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A Generic Performance Model for Deep Learning in a Distributed Environment von Kavarakuntla, Tulasi, Han, Liangxiu, Lloyd, Huw, Latham, Annabel, Kleerekoper, Anthony, Akintoye, Samson B.

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Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI von Zhu, Wenyong, Sun, Liang, Huang, Jiashuang, Han, Liangxiu, Zhang, Daoqiang

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Leaf blight disease of rice caused by Pantoea: profile of an increasingly damaging disease in rice von Doni, Febri, Ishak, Muhammad Nazri, Suhaimi, Nurul Shamsinah Mohd, Syaputri, Yolani, Han, Liangxiu, Mohamed, Zulqarnain, Mispan, Muhamad Shakirin

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