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Support vector machines

Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning

Rundong Cao, Jiazhong Yu, Ziwei Liu, Qinghua Liang

Few-shot network intrusion detection method based on multi-domain fusion and cross-attention

Congyuan Xu, Donghui Li, [ ... ], Ningbing Tong

Semantic knowledge graph fusion for fake news detection: Unifying content-based features and evidence-based analysis in the COVID-19 infodemic

Rayees Ahmad Dar, Rana Hashmy, [ ... ], Jaroslav Frnda

RETRACTED: Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT

Yasser Filahi, Omer Melih Gul, [ ... ], Kostas Karpouzis

Constructing a domain-specific sentiment lexicon for agricultural product reviews using BERT and SO-PMI

Jinghua Wu, Peng Qiu, Xun Jia

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

The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review

Chuxuan Li, Hao Zhang, [ ... ], Ruopeng An

A deep learning based approach for classifying the maturity of cashew apples

Moritz Winklmair, Robert Sekulic, [ ... ], Ricardo Buettner

Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets

Kazi Arman Ahmed, Israt Humaira, [ ... ], Md Doulotuzzaman Xames

Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia

Tadele Melese, Gizachew Assefa, [ ... ], Abebe Senamew

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

Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences

Waqar Ahmad, Abdul Raheem Shahzad, [ ... ], Saddam Hussain Khan

A hybrid approach to enhance HbA1c prediction accuracy while minimizing the number of associated predictors: A case-control study in Saudi Arabia

Faten Al-hussein, Mali Abdollahian, Laleh Tafakori, Khalid Al-Shali

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