Rheumatoid arthritis: some components of hemostasis and inflammation by F. A. Cheldieva, T. M. Reshetnyak

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截割减速器参数化设计数据库管理系统的研究 by 李晓豁, 顾红兵

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Design of a Computerized Fence at Nyabikoni Campus Kabale University. by Rugabanomwe, Arnold

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Design of a Computerized Fence at Nyabikoni Campus Kabale University. by Twinamasiko, Joshua

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Design of a Computerized Fence At Nyabikoni Campus Kabale University. by Muhwezi, Robert

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Design of a Computerized Fence at Nyabikoni Campus Kabale University. by Kawesa, Eden

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The Role of ICT in Archive Management: A Case Study of Mbarara District Local Government Archive. by Akanyetaba, Fortunate

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Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data by Chunbo Jiang, Xiaoshuai Guo, Yongfu Li, Ning Lai, Lei Peng, Qinglong Geng

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Self-Supervised Learning with Trilateral Redundancy Reduction for Urban Functional Zone Identification Using Street-View Imagery by Kun Zhao, Juan Li, Shuai Xie, Lijian Zhou, Wenbin He, Xiaolin Chen

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High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Macao Greater Bay Area by Haoxuan Duan, Zhongqi Shi, Ji Ge, Fan Wu, Yuzhou Liu, Hong Zhang, Chao Wang

“…A Fine Population mapping network (FinePop-net) is also developed to train regression models using image samples, capturing multi-scale features for model training. …”
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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…The proposed method utilizes MobileNetV3 as the backbone network for DeepLabV3+ to maintain segmentation accuracy while reducing computational demands. …”
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Identification and land-Environment analysis of centralized photovoltaic stations in the arid northwest region of China by Yiyang Chen, Li Zhang, Min Yan, Yin Wu, Yuqi Dong, Wei Shao, Qinglan Zhang

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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…In this study, we aim to provide a comprehensive analysis of the effectiveness of traditional ensemble learning methods (Random Forest and Gradient Boosting) and deep learning models (ResNet 18, ResNet34, and ViT) in predicting corn yield across deficit and fully irrigated fields using UAV-based RGB and multispectral imagery. …”
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Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

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Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution by Shaowei Pan, Xingxing Cheng, Wenjing Fan

“…Our extensive experiments demonstrate the superior performance of DC-PC-Dilated-IR-V2 compared to other classifiers, including back propagation (BP) neural networks, support vector machines (SVM), AlexNet, VGG-16, ResNet-101, ResNeXt-101, and DenseNet. …”
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Machine learning decision support model construction for craniotomy approach of pineal region tumors based on MRI images by Ziyan Chen, Yinhua Chen, Yandong Su, Nian Jiang, Siyi Wanggou, Xuejun Li

“…And also, 3 deep learning algorithms (ResNet-50, EfficientNetV2-m and ViT) were applied based on MRI images from different orientations. …”
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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…However, existing algorithms for peanut leaf disease detection techniques based on pictures or hyperspectral information still have problems with detection accuracy and stability. …”
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3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification by Chinsu Lin, Hung-Yi Chien, Keng-Hao Liu

“…The proposed model was compared against five existing DL models (GoogleNet, AlexNet, MobileNetV3-Small, LtCNN, and TinyViT). …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Additionally, we introduce a custom backbone, edge-prior net (EP-Net), to capture features across multiple spatial scales, enhancing the recognition of subtle and complex defect patterns. …”
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