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Support vector machines

MEBANet: A Multi-domain Enhancement and Boundary Awareness Network for urban village extraction from high-resolution imagery

Fangzhe Chang, Xiaoyong Fan, [ ... ], Xuming Gao

Classification of images of bee pollen according to their producers

Juan D. Leal Campuzano, Carlos A. Martínez Niño, Francisco A. Gómez Jaramillo

Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models

Muhammad Noman, Maria Hanif, [ ... ], Basit Qureshi

TIC-FusionNet: A multimodal deep learning framework with temporal decomposition and attention-based fusion for time series forecasting

Liyu Chen, Xiangwei Fan

Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM

Sevtap Tırınk

Ecological suitability evaluation of traditional village locations in Jiangxi Province based on multi-model integration using artificial intelligence

Cheng Zhang, Jinlin Teng, Peilin Liu, Chunqing Liu

Predictive modeling of tax compliance risks: A comparative study of machine learning approaches

Lan Yang

DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction

Rahman Farnoosh, Karlo Abnoosian, Rasha Abbas Isewid, Danial Javaheri

Alzheimer’s disease classification using a hybrid deep learning approach with multi-layer U-net segmentation and XAI driven analysis

Muhammad Zubair, Arfan Jaffar, Sadaf Hussain, Sheeraz Akram

Supervised spike sorting feasibility of noisy single-electrode extracellular recordings: Systematic study of human C-nociceptors recorded via microneurography

Alina Troglio, Peter Konradi, [ ... ], Barbara Namer

An encrypted traffic classification method based on autoencoders and convolutional neural networks

Shengwei Xu, Jijie Han, Jianbo Wang, Yijie Bai

From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets

Saim Chishti, Faryal Nosheen, [ ... ], Madiha Khalid

Multi-model machine learning for automated identification of rice diseases using leaf image data

Rovin Tiwari, Jaideep Patel, [ ... ], Kapil Gupta

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