Deep convolutional neural network model for classifying common bean leaf diseases by Dagne Walle Girmaw, Tsehay Wasihun Muluneh

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Computerized Adaptive Testing Framework Based on Excitation Block and Gumbel-Softmax by Chengsong Liu, Yan Wei

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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

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Graphormer Boosted: Molecular Property Prediction With Enhanced Graph Spatial and Edge Encodings by Sarah A. Fadlallah, Francesc Serratosa, Carme Julia

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Pupil Refinement Recognition Method Based on Deep Residual Network and Attention Mechanism by Zehui Chen, Changyuan Wang, Gongpu Wu

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Efficient and secure multi-party computation protocol supporting deep learning by Shancheng Zhang, Gang Qu, Zongyang Zhang, Minzhe Huang, Haochun Jin, Liqun Yang

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Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging by Se-Yeol Rhyou, Minyung Yu, Jae-Chern Yoo

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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model by Waqar Khalid, Yazeed Alkharijah, Syed Muhammad Usman, Shehzad Khalid

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Meta-learning based softmax average of convolutional neural networks using multi-layer perceptron for brain tumour classification by Irwan Budi Santoso, Shoffin Nahwa Utama, Supriyono

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Extreme Grid Operation Scenario Generation Framework Considering Discrete Failures and Continuous Output Variations by Dong Liu, Guodong Guo, Zhidong Wang, Fan Li, Kaiyuan Jia, Chenzhenghan Zhu, Haotian Wang, Yingyun Sun

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Dialogue-to-Video Retrieval via Multi-Grained Attention Network by Yi Yu, Jiwei Zhang, Suhua Tang, Wei Li

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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

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Adaptive multi-scale phase-aware fusion network for EEG seizure recognition by Yanting Liang, Jingyuan Liu, Xinzhou Zhang

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Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning by Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Ji Su Park, Jihie Kim

Subjects: “…convolutional neural network (CNN) (softmax)…”
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