Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

Subjects: “…disease detection…”
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IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classificationMendeley Data by Md. Mehedi Hasan Shoib, Shahnewaz Saeem, Afia Benta Aziz Tonima, Mayen Uddin Mojumdar

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A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis by Muhammad Zaman, Muhammad Khubaib, Tanzila Kahkashan, Anam Zahoor, Narges Shahbaz, Shahzad Shoukat, Fahma Nisar

Subjects: “…heart disease detection…”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

Subjects: “…Parkinson’s disease detection…”
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Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

Subjects: “…pavement disease detection…”
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Image-Based Face Recognition Techniques Used in Disease Detection Approaches: A Survey by Ghalib Ahmed Salman, Inas Jawad Kadhim, Ahmed Husham Al-Badri

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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

Subjects: “…tomato leaf disease detection…”
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Cardiac sound classification using a hybrid approach: MFCC-based feature fusion and CNN deep features by Mahbubeh Bahreini, Ramin Barati, Abbas Kamali

Subjects: “…Cardiovascular disease detection…”
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SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection by Yongzheng Miao, Yongzheng Miao, Wei Meng, Wei Meng, Xiaoyu Zhou, Xiaoyu Zhou

Subjects: “…plant disease detection…”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

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A Review of CNN Applications in Smart Agriculture Using Multimodal Data by Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari, Josiane Mothe

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Research on Small-Target Detection of Flax Pests and Diseases in Natural Environment by Integrating Similarity-Aware Activation Module and Bidirectional Feature Pyramid Network Mod... by Manxi Zhong, Yue Li, Yuhong Gao

Subjects: “…pest and disease detection…”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

Subjects: “…Plant disease detection…”
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An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

Subjects: “…Parkinson’s Disease detection…”
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Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN by Henghui Mo, Linjing Wei

Subjects: “…Leaf disease detection…”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

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DCTnet: a double-channel transformer network for peach disease detection using UAVs by Jie Zhang, Dailin Li, Xiaoping Shi, Fengxian Wang, Linwei Li, Yibin Chen

Subjects: “…Peach disease detection…”
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Plant Leaf Disease Detection Using Integrated Color and Texture Features by Jayamala Kumar Patil and Vinay Sampatrao Mandlik

Subjects: “…plant disease detection, content-based image retrieval cbir, ycbcr histogram, lggp histogram, advanced image analysis, maize leaf rust…”
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TomatoGuard-YOLO: a novel efficient tomato disease detection method by Xuewei Wang, Jun Liu

Subjects: “…tomato disease detection…”
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