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Support vector machines

Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management

Muhammad Ishaq, Naila Yaqub, [ ... ], Oumaima Saidani

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions – A scoping review

Biniyam Gebeyehu, Bennett Kleinberg, Katrijn Van Deun, Esther de Vries

DS-Mamba: Depthwise separable mamba for hyperspectral image classification

Lin Wei, Huihan Yang, [ ... ], Haonan Zheng

Random subspace-based ensemble classifier for high-dimensional data Using SPARK

Venkaiah Chowdary Bhimineni, Rajiv Senapati

Artificial intelligence–Driven detection and decision support system for precision management of maize downy mildew

Jadesha G, Anurag Dhole, Deepak D

Integrated microwave cavity perturbation sensor for nondestructive estimation of moisture content of grains: A case study on wheat and chickpea

Kamil Sacilik, Necati Cetin, Burak Ozbey, Fernando Auat Cheein

Computational frameworks for automated detection and quantification of paroxysmal sympathetic hyperactivity among traumatic brain injury patients

Xiangxiang Kong, Lujie Karen Chen, [ ... ], Jamie Erin Podell

Predicting dominant terrestrial biomes at a global scale using machine learning algorithms, climate variable indices, and extreme event indices

Hisashi Sato

Efficient talent identification in women’s football: A ranking-based approach for goal scoring analysis

Songyi Song, Hee-Su Kim

Robust predictors for drug response of patients with acute myeloid leukemia

Bahar Tercan

Hyperspectral imaging for intraoperative brain tumor identification through fusion of spectral, textural, and spectral index features

Jianhua Liu, Chenglong Zhang, [ ... ], Wenjun Xia

Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market

Morteza Amini, Sajedeh Javadi, Majid Soleimani-damaneh

Enhancing reliability in electrical grids: A hybrid machine learning approach for electrical faults classification

Momotaz Begum, Ariful Islam Shiplu, [ ... ], Hezerul bin Abdul Karim

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