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Machine Learning for Societal Improvement, Modernization, and Progress
Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improve...
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities
The development of software has expanded substantially in recent years. As these technologies continue to advance, well-known organizations have begun implementing these programs into the ways they conduct business. These large companies play a vital role in the economic environment, so understanding the software that they utilize is pertinent in many aspects. Researching and analyzing the tools that these corporations use will assist in the practice of software engineering and give other organizations an outline of how to successfully implement their own computational methods. Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities is an ess...
Deep Learning Research Applications for Natural Language Processing
Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objec...
Soft Computing and its Engineering Applications
This book constitutes the refereed proceedings of the Third International Conference on Soft Computing and its Engineering Applications, icSoftComp 2021, held in Changa, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 29 full papers and 4 short papers presented were carefully reviewed and selected from 247 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
Secure Knowledge Management In Artificial Intelligence Era
This book constitutes the refereed proceedings of the 8th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2019, held in Goa, India, in December 2019. The 12 full papers presented were carefully reviewed and selected from 34 submissions. They were organized according to the following topical sections: cyber security; security and artifcial intelligence; access control models; and social networks.
Machine Learning for Societal Improvement, Modernization, and Progress
"'Machine learning for societal improvement, modernization, and progress' portrays the application of Machine Learning that is playing a prominent role in improving the quality of life and the progress of civilization. It focuses on not just Machine Learning, but its application to specific domains that are resulting in substantial global progress"--
Frugal Innovation and Social Transitions in the Digital Era
Frugal innovation is considered a new source of innovation, mainly to meet the needs of low-income customers. Hence, frugal innovation has primarily been explored emphasizing affordability. The concept of frugal and social innovation is a new idea and requires perspectives from academicians, researchers, and organizations to reach its full potential. Frugal Innovation and Social Transitions in the Digital Era considers the social value of innovation, frugal innovation, and social innovation in society at local, national, and international levels and calls the attention of scholars and researchers around the globe to focus on the social perspectives and social patterns of human life and society. Covering key topics such as emerging technologies, entrepreneurship, and social change, this reference work is ideal for computer scientists, business owners, managers, policymakers, researchers, scholars, practitioners, instructors, and students.
Digital Psychology’s Impact on Business and Society
Individuals, businesses, organizations, and countries all benefit from having access to data. People who generate data do it voluntarily, forming their habits, patterns, and behaviors in the process. Their psychological characteristics will be better understood as a result of the data that they generate, allowing them to make intelligent decisions. Organizations are motivated by the desire to collect and analyze as much data as possible from the general public or future customers in order to better understand their psychological features and influence them to purchase their products or services. As a result, there has been a great deal of debate concerning the use of data from the perspectiv...
Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems
This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13–14 August 2021. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.
