Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification by M. Venkata Krishna Reddy, L. Raghavendar Raju, Kashi Sai Prasad, Dr. D Anitha Kumari, Vadlamani Veerabhadram, Nagendar Yamsani

“…These results highlight the model’s substantial potential for integration into clinical systems, such as Electronic Health Record (EHR) platforms, for the automated classification of clinical texts and improved healthcare decision-making support.…”
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Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques by Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj

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Classification method based on surf and sift features for alzheimer diagnosis using diffusion tensor magnetic resonance imaging by Nourhan Zayed, Ghaidaa Eldeep, Inas A. Yassine

“…Moreover, the fusion based on the decision level model reached an accuracy of 93.3% AD/MCI, 95.7% AD/NC, and 93.3% MCI/NC (96.2 ± 3.6 MCI vs. …”
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New Casemix Classification as an Alternative Method for Budget Allocation in Thai Oral Healthcare Service: A Pilot Study by Thunthita Wisaijohn, Atiphan Pimkhaokham, Phenkhae Lapying, Chumpot Itthichaisri, Supasit Pannarunothai, Isao Igarashi, Koichi Kawabuchi

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Data-Driven Approach for Intelligent Classification of Tunnel Surrounding Rock Using Integrated Fractal and Machine Learning Methods by Junjie Ma, Tianbin Li, Roohollah Shirani Faradonbeh, Mostafa Sharifzadeh, Jianfeng Wang, Yuyang Huang, Chunchi Ma, Feng Peng, Hang Zhang

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A Deep Learning Approach for Multiclass Attack Classification in IoT and IIoT Networks Using Convolutional Neural Networks by Ali Abdi Seyedkolaei, Fatemeh Mahmoudi, José García

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An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

“…Our result shows that the combined and oversampling techniques provide a positive effect on the performance of the models. In the context of classification models, ensemble-based algorithms, which extend the decision tree classification mechanism such as Random Forest and eXtreme Gradient Boosting, achieved sufficiently good performance for predicting defective software modules. …”
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Automated Landmark Detection and Lip Thickness Classification Using a Convolutional Neural Network in Lateral Cephalometric Radiographs by Miaomiao Han, Zhengqun Huo, Jiangyan Ren, Haiting Zhu, Huang Li, Jialing Li, Li Mei

“…Upper and lower lip thicknesses were measured using some of these landmarks, and a pre-trained decision tree model was employed to classify lip thickness into the thin, normal, and thick categories. …”
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Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures by Hasan Ali Akyürek

“…This study aims to develop and evaluate an integrated video-based deep learning framework for classifying coronary dominance without distinguishing between RCA and LCA angiograms. <b>Methods</b>: Three advanced video-based deep learning models—Temporal Segment Networks (TSNs), Video Swin Transformer (VST), and VideoMAEv2—were implemented using the MMAction2 framework. …”
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Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method by Jian Pan, Yuangang Wu, Zhenchao Tang, Kaibo Sun, Mingyang Li, Jiayu Sun, Jiangang Liu, Jie Tian, Bin Shen

“…The accuracy of combined models was 98.50%, 81.65%, 82.07%, and 74.10% in the classification of KL grade 0–2 and KL grade 3–4, KL grade 3 and KL grade 4, KL grade 0 and KL grade 1–2, and KL grade 1 and KL grade 2, respectively. …”
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Transforming Brain Tumor Detection Empowering Multi-Class Classification With Vision Transformers and EfficientNetV2 by Anees Tariq, Muhammad Munwar Iqbal, Muhammad Javed Iqbal, and Iftikhar Ahmad

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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

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AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification by Rapeepat Klangbunrueang, Pongsathon Pookduang, Wirapong Chansanam, Tassanee Lunrasri

“…The experimental results indicate that VGG16 achieved the highest classification performance, with a Test Accuracy of 98.18%, surpassing the other models. …”
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Advanced AI techniques for root disease classification in dental X-rays using deep learning and metaheuristic approach by Prem Enkvetchakul, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Peerawat Luesak, Chutchai Kaewta, Sarayut Gonwirat, Chawis Boonmee, Matus Noowattana, Thitinon Srisuwandee

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Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) by C. Petrucci, G. Romoli, A. Pignatelli, E. Trasatti, F. Zuccarello, F. Greco, M. Dozzo, G. Bilotta, F. Spina, G. Ganci

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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Third, we analyze how various model architectures and classification strategies perform under different labeling schemes. …”
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The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…It also improves the process of wetlands assessing and managing in the country by applying an ecosystem services approach to identify the services and benefits of wetlands, main beneficiaries, threats to the services and provisioning the management strategies and decisions, in the form of indicators and conceptual models. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

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Text mining approach for feature extraction and cartilage disease grade classification using knee MRI radiology reports by Antonio Saverio Valente, Teresa Angela Trunfio, Marco Aiello, Dario Baldi, Marilena Baldi, Silvio Imbò, Mario Alessandro Russo, Carlo Cavaliere, Monica Franzese

“…To realise this objective, we used a dataset of 750 MRI knee reports written by three radiologists who contributed to a manual annotation process to perform text classification (TC) and named entity recognition (NER) tasks. …”
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Coastal Wetlands Classification and Carbon Storage Estimation: A Case Study of the Region Surrounding the South China Sea by Guanglin Lai, Zhi He, Chengle Zhou, Youwei Wang

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