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Machine learning

Unveiling the economic potential of sports industry in China: A data driven analysis

Haishan Liu

Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography

Sazzli Kasim, Junjie Tang, [ ... ], Jesvinna Kaur Chima

Peak amplitude of the normalized power spectrum of the electromyogram of the uterus in the low frequency band is an effective predictor of premature birth

Žiga Pirnar, Franc Jager, Ksenija Geršak

DLGRAFE-Net: A double loss guided residual attention and feature enhancement network for polyp segmentation

Jianuo Liu, Juncheng Mu, [ ... ], Ivan Ganchev

Hybrid evolutionary machine learning model for advanced intrusion detection architecture for cyber threat identification

Ankita Sharma, Shalli Rani, Maha Driss

BRP-Net: A discrete-aware network based on attention mechanisms and LSTM for birth rate prediction in prefecture-level cities

Mingfu Xue, Junyu Zhu, [ ... ], Yuan Chen

A SURF and SVD-based robust zero-watermarking for medical image integrity

Rizwan Taj, Feng Tao, [ ... ], Ateeq Ur Rehman

The impact of data imputation on air quality prediction problem

Van Hua, Thu Nguyen, [ ... ], Binh T. Nguyen

Antivirals for monkeypox virus: Proposing an effective machine/deep learning framework

Morteza Hashemi, Arash Zabihian, Masih Hajsaeedi, Mohsen Hooshmand

A hybrid Transformer-LSTM model apply to glucose prediction

QingXiang Bian, Azizan As’arry, [ ... ], Raja Mohd Kamil bin Raja Ahmad

Forecasting extremely high ischemic stroke incidence using meteorological time serie

Lucia Babalova, Marian Grendar, [ ... ], Vladimir Nosal

An intrusion detection model to detect zero-day attacks in unseen data using machine learning

Zhen Dai, Lip Yee Por, [ ... ], Paweł Pławiak

Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study

Annarita Fanizzi, Federico Fadda, [ ... ], Raffaella Massafra

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