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Machine Intelligence and Emerging Technologies
The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Applied Informatics for Industry 4.0
Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.
Applied Intelligence for Industry 4.0
We are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays vital roles in human development by enabling extraordinary technological advances making fundamental changes to the way we live, work and relate to one another. It is an opportunity to help everyone, including leaders, policymakers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centered future. We need to prepare our graduates as well as researchers to conduct their research with 4.0 IR-related technol...
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility o...
Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning
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Precision medicine approaches for heterogeneous conditions such as autism spectrum disorders (The need for a biomarker exploration phase in clinical trials - Phase 2m)
Many therapeutic interventions for autism spectrum disorder fail when they are examined in a clinical trial. Frequently, there is a subset of patients that responds very well to the intervention, while others do not, and the overall result does not yield a positive result. As autism spectrum disorder is highly heterogeneous in its underlying genetics and other etiological risk factors, as well as its heterogeneous phenotypic manifestation, this variability in response to any specific treatment is not entirely surprising. However, it remains a challenge to meaningfully subtype this heterogeneity for targeted treatment. The purpose of this research topic is to solicit articles that address the...
Universal Access in Human-Computer Interaction. User and Context Diversity
This two-volume set constitutes the refereed proceedings of the 16th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2022, held as part of the 24th International Conference, HCI International 2022, held as a virtual event, in June-July 2022. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. UAHCI 2022 includes a total of 73 papers; they focus on topics related to universal access methods, techniques and practices, studies on accessibility, design for all, usability, UX and technology acceptance, emotion and behavior recognition for universal access, accessible media, access to learning and education, as well universal access to virtual and intelligent assistive environments.
Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies
This two-volume set constitutes the refereed proceedings of the 16th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2022, held as part of the 24th International Conference, HCI International 2022, held as a virtual event, in June-July 2022. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. UAHCI 2022 includes a total of 73 papers; they focus on topics related to universal access methods, techniques and practices, studies on accessibility, design for all, usability, UX and technology acceptance, emotion and behavior recognition for universal access, accessible media, access to learning and education, as well universal access to virtual and intelligent assistive environments.
Era of Artificial Intelligence
This text has attempted to collate quality research articles ranging from A Mathematical Disposition for Neural Nets, to Cognitive Computing, to Quantum Machine Learning, to a Multimodal Emotion Recognition System, to Responsible AI, to AI for Accessibility and Inclusion, to Artificial-Enabled Intelligence Enabled Applications in the sectors of Health, Pharma and Education. Features Focus on AI research and interdisciplinary research that exhibits AI inclusion to a greater degree Focus on application of disruptive technology in the context of the twenty-first century human and machine approach Focus on role of disruptive technology such as cognitive computing, quantum machine learning, IOT e...
Contemporary Applications of Data Fusion for Advanced Healthcare Informatics
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to coll...
