Manpreet Kaur – författare

Implications of Artificial Intelligence in Next Generation Physiotherapy explores the transformative integration of artificial intelligence into physiotherapy, a vital component of rehabilitation for musculoskeletal conditions, including chronic issues and sports injuries. Traditionally reliant on in-person sessions or passive guidance, physiotherapy is set for a revolution through AI technologies that enhance diagnostics, treatment planning, and personalized care, making therapy more accessible. The book covers topics such as workload monitoring, movement pattern detection, muscle imbalance identification, and recovery tracking, alongside next-generation methods and wearable technology. It provides a comprehensive resource for researchers, practitioners, and students, consolidating current research, case studies, and practical applications. By offering insights into how AI can tailor treatment plans and improve public health outcomes, this book equips the audience with essential knowledge to navigate the future of physiotherapy, ensuring they remain informed about advancements that can significantly enhance clinical outcomes and patient care.Explores the integration of artificial intelligence in physiotherapy, providing valuable insights into innovative practices and methodologiesAddresses ethical considerations and regulatory frameworks related to the deployment of AI technologies in healthcareOffers practical applications and tailored treatment strategies based on data-driven insights, to enhance patient outcomes and improve rehabilitation practices

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.

This new volume presents a selection of state-of-the-art technological advancements in IoT, network technologies, and software engineering that address unsolved issues in computational intelligence. The volume focuses on empirical, theoretical, and application perspectives on smart technologies and computational intelligence, identifying the advantages and limitations of each.The chapters on smart technologies address their application in 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, etc. The volume goes on to discuss computational intelligence in network technologies as well as cryptography mechanisms, internet privacy protection, satellite communication technology, ant colony optimization algorithms, etc. The topics on computational intelligence in software engineering include security optimization via software-defined networking, education-based interactive automated agent, data warehouse requirement engineering, and more.Together with Volume 1: Data Science and AI, Selected Papers from CIAIS-2021, this 2-volume set offers and abundance of valuable information on emerging technologies in computational intelligence.

Develop programmatic functions to create powerful database applicationsKey Features[*] Write complex SQL queries and design a robust database design that fits your application's need[*] Improve database performance by indexing, partitioning tables, and query optimizing[*] A comprehensive guide covering the advanced PostgreSQL concepts without any hassleBook DescriptionPostgreSQL is the most advanced open source database in the world. It is easy to install, configure, and maintain by following the documentation; however, it’s difficult to develop applications using programming languages and design databases accordingly. This book is what you need to get the most out of PostgreSQLYou will begin with advanced SQL topics such as views, materialized views, and cursors, and learn about performing data type conversions. You will then perform trigger operations and use trigger functions in PostgreSQL. Next we walk through data modeling, normalization concepts, and the effect of transactions and locking on the database. The next half of the book covers the types of indexes, constrains, and the concepts of table partitioning, as well as the different mechanisms and approaches available to write efficient queries or code. Later, we explore PostgreSQL Extensions and Large Object Support in PostgreSQL. Finally, you will perform database operations in PostgreSQL using PHP and Java. By the end of this book, you will have mastered all the aspects of PostgreSQL development. You will be able to build efficient enterprise-grade applications with PostgreSQL by making use of these conceptsWhat you will learn[*] Write more complex queries with advanced SQL queries[*] Design a database that works with the application exactly the way you want[*] Make the database work in extreme conditions by tuning, optimizing, partitioning, and indexing[*] Develop applications in other programming languages such as Java and PHP[*] Use extensions to get extra benefits in terms of functionality and performance[*] Build an application that does not get locked by data manipulation[*] Explore in-built db functions and data type conversionsWho this book is forIf you are a PostgreSQL developer with a basic knowledge of PostgreSQL development and you’re want deeper knowledge to develop applications, then this book is for you. As this book does not cover basic installation and configurations, you should have PostgreSQL installed on your machine as a prerequisite.