Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

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Multimodal artificial intelligence for subepithelial lesion classification and characterization: a multicenter comparative study (with video) by Jiao Li, Xiaojuan Jing, Qin Zhang, Xiaoxiang Wang, Li Wang, Jing Shan, Zhengkui Zhou, Lin Fan, Xun Gong, Xiaobin Sun, Song He

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A novel hybrid vision UNet architecture for brain tumor segmentation and classification by M. Renugadevi, K. Narasimhan, K. Ramkumar, N. Raju

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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

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KNEE OSTEOARTHRITIS STAGE CLASSIFICATION BASED ON HYBRID FUSION DEEP LEARNING FRAMEWORK by Delveen Luqman Abd Alnabi, Shereen Sh Ahmed, Nisreen Luqman Abd Alnabi

“…The feature-level, decision-level, score-level, and meta-based fusion technologies were also performed on the outputs of the best three trained models to minimize the individual models’ errors. …”
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A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species by Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, Ilgaz Akata

“…Explainable AI (XAI) techniques, including Grad-CAM and Score-CAM, enhanced the interpretability and transparency of model decisions. These methods offered insights into the internal decision-making processes of deep learning models, ensuring reliable classification results. …”
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Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders by Wei-Chun Hsu, Tommy Sugiarto, Yi-Jia Lin, Fu-Chi Yang, Zheng-Yi Lin, Chi-Tien Sun, Chun-Lung Hsu, Kuan-Nien Chou

“…The placement-based classification of the shank sensor achieved 89.13% testing accuracy with the Decision Tree (DT) classifier algorithm. …”
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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

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Payment Status Classification Invoice Bank Using Logistic Regression and Random Forest by Farah Anindia Putri, Mujiati Dwi Kartikasari

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Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification by Md Takbir Alam, Md Ashibul Islam Khan, Nahian Nakiba Dola, Tahia Tazin, Mohammad Monirujjaman Khan, Amani Abdulrahman Albraikan, Faris A. Almalki

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DEVELOPMENT OF NON-DESTRUCTIVE ROBOT FOR EGGPLANTS (SOLANUM MELONGENA) PEST DETECTION AND CLASSIFICATION by Mark Jayson Y. Sutayco, Eidref Simon Dela Cruz, Harold Aranza, Gian Fernan Collado, Kyle Benedict Lui

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Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making by Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Tayseer Hassan A. Soliman, Dibson Gondim, Mohammed Ghazal, Norah Saleh Alghamdi, Ayman El-Baz

“…A stacking ensemble method combines predictions from ViT models trained at these levels, improving classification robustness. …”
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

“…The model integrates three components: (i) a Classification Stream, utilizing a CNN to categorize images into 16 lesion types (baseline model), (ii) a Guidance Stream, which aligns class activation maps with clinically relevant areas using ground truth segmentation masks (GAIN model), and (iii) an Anatomical Site Prediction Stream, improving interpretability by predicting lesion location (GAIN+ASP model). …”
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Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters by Rabah Ouali, Martin Legry, Jean-Yves Dieulot, Pascal Yim, Xavier Guillaud, Frédéric Colas

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Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing by Yumeng Li, Chunying Wang, Junke Zhu, Qinglong Wang, Ping Liu

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Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification by Sumei Ren, Bushra Ghaffar, Muhammad Mubbin, Muhammad Haseeb, Zainab Tahir, Sher Shah Hassan, Dmitry E. Kucher, Olga D. Kucher, M. Abdullah-Al-Wadud

“…The methodology includes a multistep deep learning pipeline, incorporating data preprocessing, feature extraction, class balancing with SMOTE, and LSTM-based classification. The proposed LSTM model is optimized to enhance performance with dropout regularization (0.3), an Adam optimizer (learning rate = 0.0003), and class weighting strategies. …”
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Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions by Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Y. Barnawi, Muhammad Gambo, Abubakar Danasabe, Saheed Bello, Aliyu Habib

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Multiscale Two-Stream Fusion Network for Benggang Classification in Multi-Source Images by Xuli Rao, Chen Feng, Jinshi Lin, Zhide Chen, Xiang Ji, Yanhe Huang, Renguang Chen

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Sitting Posture Detection and Classification Using Machine Learning Algorithms on RapidMiner by Chawakorn Sri-ngernyuang, Prakrankiat Youngkong, Jinpitcha Mamom, Duangruedee Lasuka

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A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI by Yunqing Yang, Zhulin Wang, Haidong Wang, Yun Wang, Yang Fu

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