Special Issue on Machine Learning and its Applications

"Machine Learning and its Applications" is an academic field that focuses on developing algorithms and statistical models to enable computers to learn and make predictions or decisions without explicit programming. This field involves the study of pattern recognition, data mining, and computational statistics. Machine learning techniques are widely used in various applications, such as image and speech recognition, natural language processing, recommender systems, autonomous vehicles, and fraud detection, to name a few. Ultimately, this research aims to improve the functionality and intelligence of computer systems and devices, making them more effective tools for solving real-world problems.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on Machine Learning and its Applications. Potential topics include, but are not limited to:

• Supervised learning
• Unsupervised learning
• Reinforcement learning
• Deep learning
• Natural language processing
• Computer vision
• Image and video processing
• Speech recognition
• Pattern recognition
• Data mining
• Recommender systems
• Bioinformatics
• Financial and stock market predictions
• Marketing and customer segmentation
• Fraud detection and cybersecurity
• Autonomous vehicles and robotics
• Healthcare and medical diagnostics
• Environmental monitoring and analysis
• Social media analysis and sentiment analysis
• Predictive maintenance and quality control

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue – Machine Learning and its Applications” should be chosen during your submission.

According to the following timetable:

For publishing inquiries, please feel free to contact the Editorial Assistant at submission.entrance1@scirp.org

JCC Editorial Office

jcc@scirp.org