New Trends In Computational Vision And Bio Inspired Computing
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New Trends in Computational Vision and Bio-inspired Computing by S. Smys,Abdullah M. Iliyasu,Robert Bestak,Fuqian Shi Pdf
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.
Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi Pdf
This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Fuqian Shi Pdf
This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.
Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu Pdf
This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio Inspired Computing by D. Jude Hemanth,S. Smys Pdf
This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.
Biologically Inspired Computer Vision by Gabriel Cristobal,Laurent Perrinet,Matthias S. Keil Pdf
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas Pdf
This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25-26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi Pdf
This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Innovative Data Communication Technologies and Application by Jennifer S. Raj,Khaled Kamel,Pavel Lafata Pdf
This book presents the latest research in the fields of computational intelligence, ubiquitous computing models, communication intelligence, communication security, machine learning, informatics, mobile computing, cloud computing, and big data analytics. The best selected papers, presented at the International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), are included in the book. The book focuses on the theory, design, analysis, implementation, and application of distributed systems and networks.
New Insights into Glioblastoma by Carla Vitorino,Carmen Balana,Célia Cabral Pdf
New Insights into Glioblastoma: Diagnosis, Therapeutics and Theranostics provides a compendium of recent diagnostic and therapeutic advances in GBM, encompassing a pipeline of compounds and (bio) nanotechnology strategies that have stood out with potential increased antitumoral activity and capability to cross the blood-brain barrier. Issues and challenges related to their translation into the clinical practice and their contribution to the increase in survival rates and well-being of patients are addressed. This is a valuable resource for graduate students, oncologists, cancer researchers and members of the biomedical field who need to learn more on recent developments on the management of glioblastoma. The book is split in three parts: Diagnosis, focusing on biomarkers and techniques such PET/MRI, infrared thermography, and deep neural networks; Therapeutics, discussing new chemical entities, as natural products and repurposed drugs, and new formulation approaches, as nanotechnology-based and microRNA approaches; and Theranostics, explaining the role of omics, system-based approaches, and glioblastoma microenvironment. Provides guidance towards recent advances of new chemical entities and delivery strategies targeted to glioblastoma Includes overviews to help readers apply information in their research Encompasses summarizing diagrams and real-world examples to facilitate comprehension and enhance the applicability of the content
Data Science for COVID-19 Volume 1 by Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna Pdf
Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions
Reinforcement Learning - Principles, Concepts and Applications by Bhavatarini N,Syed Thouheed Ahmed,Syed Muzamil Basha Pdf
Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.
Augmented Reality in Tourism, Museums and Heritage by Vladimir Geroimenko Pdf
This book provides extensive research into the use of augmented reality in the three interconnected and overlapping fields of the tourism industry, museum exhibitions, and cultural heritage. It is written by a virtual team of 50 leading researchers and practitioners from 16 countries around the world. The authors explore the opportunities and challenges of augmented reality applications, their current status and future trends, informal learning and heritage preservation, mixed reality environments and immersive installations, cultural heritage education and tourism promotion, visitors with special needs, and emerging post-COVID-19 museums and heritage sites. Augmented Reality in Tourism, Museums and Heritage: A New Technology to Inform and Entertain is essential reading not only for researchers, application developers, educators, museum curators, tourism and cultural heritage promoters, but also for students (both graduates and undergraduates) and anyone who is interested in the efficient and practical use of augmented reality technology.
Agile Software Development - An Overview by K Amuthabala,Shantala Devi Patil,Thirumagal E Pdf
This textbook has been meticulously crafted with a singular purpose: offering a comprehensive and practical guide to Agile Software Development. In the forthcoming chapters, we will delve into theintricacies of Agile methodologies, explore their underlying principles, and investigate the compelling reasons behind their prominence in the software development industry. Section I: Introduction to Iterative Development, Evolutionary, and Adaptive Development, Our journeybegins with an exploration of fundamental concepts: Iterative Development, Evolutionary Development,and Adaptive Development. These approaches break free from conventional linear development processesand prioritize flexibility, risk management, and client-driven planning. This chapter will discuss the meritsof time-boxed iterative development, evolutionary requirements analysis, incremental delivery, and theultimate goal of evolutionary delivery. Section II: Serves as a bridge between theory and practice within the Agile realm. Here, we define AgileDevelopment, categorize various methodologies, and delve deep into the Agile Manifesto and its guidingprinciples. Additionally, we explore Agile project management, emphasizing the crucial role ofcommunication, feedback, and the human element. The chapter culminates in an exploration of specificAgile methods and a balanced discussion of the ongoing discourse surrounding "Agile Hype." Section III: Motivation and Evidence, Understanding the motivation underpinning Agile is fundamental toappreciating its significance. In Chapter 3, we illuminate the imperatives for change in software projectsand how iterative development addresses these challenges. We critique the limitations of the traditionalWaterfall model and provide a comprehensive review of supporting evidence, including research findings,historical project data, and expert opinions, all converging to fortify the case for iterative development. Section IV: Fundamentals of DevOps and Technical View, Agile methodologies extend beyond softwaredevelopment into the realm of DevOps. Chapter 4 introduces the foundational principles of DevOps and itspivotal role in contemporary development practices. We delve into the building blocks of DevOps, thevital metrics and measurement perspective, and the process view that fosters seamless collaborationbetween development and operations teams. The section IV concludes with an in-depth exploration of thetechnical facets, including topics like automatic releasing, infrastructure as code, and specification byexample, enriched by real-world case studies. Upon completing this textbook, you will comprehensively comprehend Agile Software Development andDevOps. Whether you are a student embarking on a career in software development or an industryprofessional looking to stay at the forefront of the field, the knowledge and insights provided here will equip you with the tools to excel in the dynamic world of software development. Let us embark on this enlightening journey together, embracing agility, adaptability, and excellence in software development.
