Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Among the five multiple classifiers, the support vector machine achieved the highest accuracy of 97.36% and was chosen for WBC classification. Features used for WBC classification were determined through three experiments, resulting in a final selection of 108 features combining intensity histogram, hue saturation value, and CIE La<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>b<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula> features. …”
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Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis by Georges Nguefack-Tsague, Fabrice Zobel Lekeumo Cheuyem, Boris Edmond Noah, Valérie Ndobo-Koe, Adidja Amani, Léa Melataguia Mekontchou, Marie Ntep Gweth, Annick Collins Mfoulou Minso Assala, Marie Nicole Ngoufack, Pierre René Binyom

“…Less than one-fifth (18.2%) of health care providers were able to understand data flow, correctly archived data (36.6%) and used electronic tools for data quality control (40.0%). …”
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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

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Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis by Ru Zhao, Xi-Jun Gong, Ya-Qiong Ge, Hong Zhao, Long-Sheng Wang, Hong-Zhen Yu, Bin Liu

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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

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Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty by Baokun Han, Sixiang Jia, Guifang Liu, Jinrui Wang

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Gene Structures, Classification, and Expression Models of the DREB Transcription Factor Subfamily in Populus trichocarpa by Yunlin Chen, Jingli Yang, Zhanchao Wang, Haizhen Zhang, Xuliang Mao, Chenghao Li

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Solar photovoltaic panel cells defects classification using deep learning ensemble methods by H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes

“…Experimental findings indicate that the proposed voting and bagging ensembles attain accuracies of 68.36 % and 68.31 %, respectively, exceeding the previously documented accuracy of a hybrid model at 61.15 %. …”
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UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

“…To meet this challenge, this research proposed a new ensemble based multi-classification model and generated new dataset of 36,000 Urdu tweets categorized as &#x2018;Hate&#x2019;, &#x2018;Offensive&#x2019; and &#x2018;Neither&#x2019;. …”
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Soil classification in a seismically active environment based on join analysis of seismic parameters by Y. Asnawi, A.V.H. Simanjuntak, U. Muksin, M. Okubo, S.I. Putri, S. Rizal, M. Syukri

“…The seismic microtremors were recorded at 36 sites covering the highly populated city and the two active faults. …”
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The Effects of Classification of Records on Effective Retrieval of Information: A Case of Kabale District Headquarters Registry. by Vivian, Kyarisiima

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Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation by Zohra Rezgui, Amina Bassit, Raymond Veldhuis

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Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by A. Bakiya, A. Anitha, T. Sridevi, K. Kamalanand

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EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

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Automatic MRI Image Classification Using Attention and Residual CNNs With Enhanced Image Denoising Filters by Suganya Athisayamani, A. Robert Singh, Faten Khalid Karim, Samih M. Mostafa

“…In the proposed architecture, the spatial attention module achieves these benefits by applying operations such as average pooling, max pooling, and sigmoid activation to selectively highlight key spatial regions in MRI images, leading to improved classification accuracy and overall performance. The proposed methods are compared with the state-of-the-art methods, and they ensure better image enhancement with high PSNR values of 32.1, 36.7 and 39.1, respectively. …”
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A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

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Commercial classification of conventional polypropylene and polyester meshes for groin hernia repair: A descriptive study by Can Deniz Deveci, Stina Öberg, Jacob Rosenberg

“…OBJECTIVE: Despite established definitions of weight classification available from the European Hernia Society and others, a discrepancy exists in the classification used by mesh companies. …”
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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. …”
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STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

“…Remote sensing-based classification of crops is the foundation for the monitoring of food production and management. …”
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