Parneeta Dhaliwal – författare

This new two-volume addresses a number of state-of-the-art developments and unsolved open issues in the field of computational intelligence.Volume 1 focuses on data science and artificial intelligence. It highlights the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The chapters present diverse application of computer intelligence and machine learning in security, healthcare and medicine, agriculture, traffic science/smart cities, and language and text conversion.Volume 2 demonstrates empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, satellite communication technology, ant colony optimization algorithms, etc.Together, these two volumes offer new research on presented by young and dynamic researchers and experts from industry and academia, sharing a plethora of new and emerging technologies that support their effective operations in computational intelligence in information systems.These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems’ (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.

The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance, automate, and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address:Computational Intelligence in Image ProcessingComputational Intelligence in HealthcareTechniques for Natural Language ProcessingComputational Intelligence in Smart CitiesThe very diverse range of topics include AI and machine learning applications forIn security: For using digital image processing for image fusion (face recognition, feature extraction, object detection as well tracking, moving object identification), for person re-identification for security purposes.In healthcare and medicine: For diagnosis and prediction of breast cancer, other cancers, diabetes, heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders.In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation.In traffic science/smart cities: For understanding road scene images, for detection of traffic signs, for devising a fog-based intelligent traffic phase timing regulation systemIn language/speech/text: For automatic text summarization, for document indexing for unstructured data, for speech/accent recognition, for sound separation, for American Sign Language interpretation for nonsigners, for emotional recognition and analysis through speech, body postures with facial expressions, and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech, body postures with facial expressions and other body movements.This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas.These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India. Together with Volume 2: Advances in Digital Transformation, this 2-volume set offers an abundacne of valuable information on emerging technologies in computational intelligence in information systems focusing on data science and artificial intelliegence.