A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism. by Jie Liu, Yang Wu

“…Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with transfer learning (ED-DenseNet). The model enhances the deep feature extraction capability by introducing a multi-branch structure, incorporating an ECA attention mechanism into Dense Blocks and dilated convolutions into Transition Layers to achieve multi-scale feature extraction and refined channel information processing. …”
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Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

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The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

“…To validate its effectiveness, we integrate the TDGL module into the backbone of several YOLO models, forming the TDGL Net feature extractor. The experimental results obtained on the BDD100K dataset show that the mAP of the TDGL net reaches 40.3% with around 3.1M parameters. …”
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Exploiting Full-Scale Feature for Remote Sensing Object Detection Based on Refined Feature Mining and Adaptive Fusion by Honghui Xu, Xinqing Wang, Ting Rui, Baoguo Duan, Dong Wang

“…Finally, SD significantly improves the richness of small object information in shallow layer. Experiments conducted over DOTA and NWPU-VHR datasets confirm that the proposed RS-Net achieves competitive detection performance compared with state-of-the-art detectors.…”
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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

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A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION by Duy Nguyen Vo, Van Tan Luu Ngo, Thi Phuong Vy Le, Nguyen Ngoc Huyen Van, Duc Anh Phuc Nguyen, Van Tuan Kiet Ngo, Thanh Thang Truong, Tan Tai Pham, Nhat Minh Dinh, Thai Ngoc Ho, Tan Tran Minh Khang Nguyen

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A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION by Duy Nguyen Vo, Van Tan Luu Ngo, Thi Phuong Vy Le, Nguyen Ngoc Huyen Van, Duc Anh Phuc Nguyen, Van Tuan Kiet Ngo, Thanh Thang Truong, Tan Tai Pham, Nhat Minh Dinh, Thai Ngoc Ho, Tan Tran Minh Khang Nguyen

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A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION by Duy Nguyen Vo, Van Tan Luu Ngo, Thi Phuong Vy Le, Nguyen Ngoc Huyen Van, Duc Anh Phuc Nguyen, Van Tuan Kiet Ngo, Thanh Thang Truong, Tan Tai Pham, Nhat Minh Dinh, Thai Ngoc Ho, Tan Tran Minh Khang Nguyen

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Formal Modeling and Verification for MVB by Mo Xia, Kueiming Lo, Shuangjia Shao, Mian Sun

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High order Interaction and Wavelet Convolution Network for visible infrared person reidentification by Li Ma, Rui Kong, XinGuan Dai

“…To address this limitation, we propose the High-order Interaction and Wavelet Convolution Network (HIW-Net) that systematically integrates primitive features at multiple feature interaction stages, thereby compensating for information loss in High-order representations. …”
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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach by Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo, Emmanuel Freeman, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Alfred Coleman, Forgor Lempogo

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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Next, the features are extracted using the Dilated Convolution Block Attention Module with EfficientNet (DCBAM-EfficientNet) module, which derives the intrinsic and complex features. …”
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A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

“…At the heart of this system lies a sophisticated deep-learning model built on the robust AlexNet neural network architecture. This model is further refined by including Quaternion convolution layers, which enhance colour information processing, and Atrous convolution layers, which improve depth perception, particularly in extracting disease patterns. …”
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Vision Transformer Embedded Feature Fusion Model with Pre-Trained Transformers for Keratoconus Disease Classification by Md Fatin Ishrak, Md Maruf Rahman, Md Imran Kabir Joy, Anna Tamuly, Salma Akter, Dewan M. Tanim, Shahajada Jawar, Nayeem Ahmed, Md Sadekur Rahman

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Improving brain tumor classification: An approach integrating pre-trained CNN models and machine learning algorithms by Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel

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Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification by Abeer saber, Esraa Hassan, Samar Elbedwehy, Wael A. Awad, Tamer Z. Emara

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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

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Quantifying the Impact of Watermarking on Deep Learning Accuracy in Medical Image Classification by Ahmed A. Mohammed, Sohaib R. Awad, Mohammed A. M. Abdullah, Ersin Elbasi, Wai L. Woo

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Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…To address these issues, this paper proposes an improved MSF-SE ResNet50 (Multi-Scale Feature Squeeze-and-Excitation ResNet50) model based on 2D PPG signals. …”
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Application of deep learning in wound size measurement using fingernail as the reference by Dun-Hao Chang, Duc-Khanh Nguyen, Thi-Ngoc Nguyen, Chien-Lung Chan

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