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Support vector machines

Machine learning using entropy–based texture features from MRI to differentiate histological subtypes of non–small cell lung cancer identified as metabolically active on PET/MRI

Marta Borowska, Małgorzata Mojsak, [ ... ], Małgorzata Domino

Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp

Muhammad Amirul Aiman Asri, Heshalini Rajagopal, [ ... ], Takao Ito

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods

Yi Ding, Ying Zhao, Yan Pei

A hybrid CNN-ViT based framework for automatic traffic actions detection in smart cities

Mucahit Karaduman, Neunggyu Han, [ ... ], Yunyoung Nam

Adaptive and migration-enhanced tree seed algorithm for multi-threshold CT image segmentation and lung cancer recognition

Chenxi Li, Jianhua Jiang, [ ... ], Zhenhao Yu

Machine translationese of large language models: Dependency triplets, text classification, and SHAP analysis

Shukang Zhang, Chaoyong Zhao

A deep learning model to enhance lung cancer detection using ‘Dual-Branch’ model classification approach

Emad Shweikeh, Murad Al-Rajab, [ ... ], Hong Chang

Unbiased inference for echocardiogram urgency prediction using double machine learning

Yiqun Jiang, Wenli Zhang, [ ... ], Qing Li

Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning model

Shaozhong Song, Fengwei Leng, [ ... ], Yaxin Cai

Effects of drying processes on the chemical and physical properties of safflower: Towards a multidimensional quality evaluation model

Juan Li, Rui Wang, [ ... ], Jin Pei

Modeling and experimental evaluation of biochar-mediated biofiltration for hydrogen sulfide capture from biogas

Mohsen Zarei, Mohammad Reza Bayati, [ ... ], Bijan Hejazi

A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis

R.W.K.S. Wijethilaka, Kanishka Yapa, Deemantha Siriwardena

Enhanced machine learning and hybrid ensemble approaches for Coronary Heart Disease prediction

Maurice Wanyonyi, Zakayo Ndiku Morris, Faith Mueni Musyoka, Dominic Makaa Kitavi

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