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This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10–12, 2024. The 27 full papers presented together were carefully reviewed and selected from 46 submissions. The conference focuses on: learning algorithms and architectures; applications in medical and health sciences; applications in computer vision; applications in NLP, speech, and music; applications in environmental and biological sciences.

With the recent development of Artificial Intelligence (AI), businesses are urged to consider innovation while applying digital transformation. Depending on the nature of the businesses, it is found that innovative digital transformation is required with the use of Artificial Intelligence. However, the future of AI in businesses is yet unclear, the question is it true that without digital transformation businesses are no longer sustainable? Researchers argue that digital transformation could be an opportunity for business to create a global brand however several implications and challenges should be considered including governance and responsible digital management. This book explores how businesses could benefit from AI and leverage technologies to sustain businesses, and the book covers different technological and business-related issues including ethical use and cultural sensitivity of data used in businesses, managing data privacy and protection, governance standards for digital transformation, executive leadership strategic decisions, business innovation, and sustainability. The book is authored by leading experts in the field of AI, digitalization, and business innovation and sustainability, and the author's diversity reflects quality of research with high level of impact in the research topic. It is written in accessible language that makes it easy for business leaders, researchers, policymakers, and anyone interested in the future of business development to understand the complex concepts and ideas presented in the book. This book provides insight for executive leaders in setting new innovative strategies toward leveraging AI in business at different levels of operations to support business sustainability. The book provides different theoretical and practical practices and case studies that could be used as a guideline for policy making and devising innovative directions.

The two-volume set LNCS 11185 + 11186 constitutes the proceedings of the 10th International Conference on Social Informatics, SocInfo 2018, held in Saint-Petersburg, Russia, in September 2018. The 30 full and 32 short papers presented in these proceedings were carefully reviewed and selected from 110 submissions. They deal with the applications of methods of the social sciences in the study of socio-technical systems, and computer science methods to analyze complex social processes, as well as those that make use of social concepts in the design of information systems.

This 2-volume set constitutes the refereed proceedings of the 4th International Conference on HCI in Business, Government and Organizations, HCIBGO 2017, held as part of the 19 International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 35 papers presented in this volume, focusing on supporting business, are organized in topical sections named: e-commerce and consumer behavior; social media for business; analytics, visualization and decision support.

This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007. It features contributions related to computational neuroscience, neurocognitive studies, applications in biomedicine and bioinformatics, pattern recognition, self-organization, text mining and internet applications, signal and times series processing, vision and image processing, robotics, control, and more.