Computational Intelligence in Analytics and Information Systems: Volume 1: Data Science and AI , Selected Papers from CIAIS-2021

AI and machine learning are used in various applications, such as security, healthcare, agriculture, traffic science, and language/speech/text, to improve efficiency, accuracy, and decision-making. Digital image processing is used for image fusion, face recognition, and object detection. AI is used for diagnosis, prediction, and susceptibility to COVID-19. Crop profit prediction, cropping patterns, and traffic sign detection are also used in agriculture. Automatic text summarization, document indexing, speech/accent recognition, sound separation, and emotional recognition are used in language/speech/text.

Format: Hardback
Length: 454 pages
Publication date: 11 September 2023
Publisher: Apple Academic Press Inc.

The extensive scope of topics encompasses the utilization of artificial intelligence (AI) and machine learning (ML) in various domains, including security, healthcare, agriculture, traffic science, language, and speech. In the realm of security, AI and ML are employed for diverse applications such as digital image processing for image fusion, face recognition, feature extraction, object detection, tracking, moving object identification, and person re-identification for security purposes. These technologies play a crucial role in enhancing surveillance systems and ensuring the safety of individuals.

In healthcare and medicine, AI and ML have transformative implications. They are utilized for accurate diagnosis and prediction of various diseases, including breast cancer, other cancers, diabetes, heart disease, and COVID-19. By analyzing medical images and patient data, these technologies can assist healthcare professionals in making informed decisions and providing personalized treatment plans. Moreover, they can help in predicting susceptibility to diseases, enabling early intervention and preventive measures.

In agriculture, AI and ML are employed to optimize crop yield and productivity. By analyzing soil conditions, weather patterns, and crop growth data, these technologies can provide farmers with valuable insights into crop cultivation practices. They can help in predicting crop profit, optimizing irrigation schedules, and recommending suitable crop varieties, leading to increased agricultural efficiency and profitability.

In traffic science and smart cities, AI and ML are utilized to enhance traffic flow and safety. They are employed for understanding road scene images, detecting traffic signs, and devising intelligent traffic phase timing regulation systems. By analyzing traffic data and real-time traffic conditions, these technologies can help in reducing traffic congestion, improving traffic flow, and minimizing accidents.

In language, speech, and text, AI and ML have numerous applications. They are utilized for automatic text summarization, document indexing for unstructured data, speech/accent recognition, sound separation, American Sign Language interpretation for nonsigners, emotional recognition and analysis through speech, body postures with facial expressions, and other body movements. These technologies have the potential to improve communication, assistive technologies, and human-computer interaction, making life more accessible and convenient for individuals with diverse needs.

Overall, the diverse range of topics encompassing AI and ML applications highlights their immense potential to transform various industries and improve the quality of life for individuals worldwide. As technology continues to advance, we can expect to see even more innovative and groundbreaking applications of AI and ML in the future.

Weight: 1061g
Dimension: 234 x 156 (mm)
ISBN-13: 9781774911440