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Preprocessing

Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection

Ekramul Haque Tusher, Mohd Arfian Ismail, [ ... ], Muhammad Akmal Remli

Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach

Mokh Afifuddin, Wonchul Seo

A framework for detecting and predicting highway traffic anomalies via multimodal fusion and heterogeneous graph neural networks

Shaowei Sun, Mingzhou Liu

Construction of VAE-GRU-XGBoost intrusion detection model for network security

Yu Chen, Xiaohong Zheng, Nan Wang

Edge computing based english translation model using fuzzy semantic optimal control technique

Na Wang

Enhancing stock timing predictions based on multimodal architecture: Leveraging large language models (LLMs) for text quality improvement

Mingming Chen, Yifan Tang, [ ... ], Tenglong Li

Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance matrices

Ankur Kumar, Sanjay Dhanka, [ ... ], Rohit Bansal

Arrhythmia classification based on multi-input convolutional neural network with attention mechanism

Bin Zheng, Wenbo Luo, Mingming Zhang, Huiyuan Jin

A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment

Khondokar Oliullah, Md Whaiduzzaman, [ ... ], Alistair Barros

A method for feature division of Soccer Foul actions based on salience image semantics

Jianming Wang, Lifeng Li

BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets in Urdu language

Ehtesham Hashmi, Amna Altaf, [ ... ], Usama Ijaz Bajwa

From spots to cells: Cell segmentation in spatial transcriptomics with BOMS

Ocima Kamboj, Jeongbin Park, Oliver Stegle, Fred A. Hamprecht

LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis

Perseverence Savieri, Lara Stas, Kurt Barbé

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