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Emerging Computer Technologies 2
There is rapid development and change in the field of computer science today. These affect all areas of life. Emerging topics in computer science are covered in this book. In the first chapter, a specific IoT application called a smart mailbox with face recognition, which uses cellular connectivity and image processing to securely deliver valuable documents. The prototype for this system includes a fingerprint reader, camera, electromagnetic lock, and various other components connected to an Arduino Uno and a Raspberry Pi, and uses OpenCV and Python software for face detection and recognition. In the second chapter, authors compares and evaluates the main characteristics of 5G channels and t...
CMBEBIH 2021
This book presents cutting-edge research and developments in the field of medical and biological engineering. It gathers the proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021, held partly virtually, partly physically, on April 21–24, 2021, from and in Mostar, Bosnia and Herzegovina. Focusing on the goal to ‘Stay Focused’, contributions report on both basic and applied research in a wide range of related fields, such as biomedical signal processing, medical physics and imaging, biosensors and micro/nanotechnologies, biomaterials, biomechanics and robotics, cardiorespiratory, endocrine and neural systems engineering. Novel models, methods and technologies for bio- and health informatics, as well as applications of machine learning and AI in health care, and advances in genetic engineering are also highlighted. All in all, this book provides academics and professionals with novel, practical solutions to solve the current problems in biomedical research and applications, and a source of inspiration for improving medicine and health care in the future.
CMBEBIH 2021
This book presents cutting-edge research and developments in the field of medical and biological engineering. It gathers the proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021, held partly virtually, partly physically, on April 21–24, 2021, from and in Mostar, Bosnia and Herzegovina. Focusing on the goal to ‘Stay Focused’, contributions report on both basic and applied research in a wide range of related fields, such as biomedical signal processing, medical physics and imaging, biosensors and micro/nanotechnologies, biomaterials, biomechanics and robotics, cardiorespiratory, endocrine and neural systems engineering. Novel models, methods and technologies for bio- and health informatics, as well as applications of machine learning and AI in health care, and advances in genetic engineering are also highlighted. All in all, this book provides academics and professionals with novel, practical solutions to solve the current problems in biomedical research and applications, and a source of inspiration for improving medicine and health care in the future.
Searches for Dijet Resonances
This book addresses one of the most intriguing mysteries of our universe: the nature of dark matter. The results presented here mark a significant and substantial contribution to the search for new physics, in particular for new particles that couple to dark matter. The first analysis presented is a search for heavy new particles that decay into pairs of hadronic jets (dijets). This pioneering analysis explores unprecedented dijet invariant masses, reaching nearly 7 TeV, and sets constraints on several important new physics models. The two subsequent analyses focus on the difficult low dijet mass region, down to 200 GeV, and employ a novel technique to efficiently gather low-mass dijet events. The results of these analyses transcend the long-standing constraints on dark matter mediator particles set by several existing experiments.
Krizlerin Sosyoekonomik Etkileri: Ülke Ve Sektör Çalışmaları
Hakkında: Bu çalışmada krizlerin dünya ekonomi tarihindeki yerini farklı disiplinler açısından değerlendirmeye çalışılmıştır. Dünya krizler tarihine bakıldığı zaman çıkış sebepleriyle yarattığı etki bakımından her bir krizin farklı bir özelliğe sahip olduğu görülmektedir. Literatürde krizlerle ilgili yapılan çalışmaların zaman zaman döneme odaklandığını zaman zaman ise sektörel bir bakış açısının ön plana çıktığı görülmektedir. Bu çalışmada literatürde oluşan kavramsal yaklaşımların hem süreç analizlerini hem de güncel olayları kapsayıcı bir boyutta toplamaya çalışılmıştır. Bu perspektifte bir takım spesifik sektörlerin krizlerden etkilenmelerini analiz ederken diğer bir perspektiften de dünya tarihine geçmiş, 1929 Buhranı, Petrol şoku, 2008 Küresel Finans krizi gibi krizlerin analizlerine de yer verilmiştir.
Designing and Implementing HR Management Systems in Family Businesses
Human resource management (HRM) systems are an under-researched area in family business studies even though they arguably play an important role. To exploit their entrepreneurial orientation and achieve their goals, family firms must be willing to adopt a specific configuration of the organizational variables to succeed in the competitive environment of today. Designing and Implementing HR Management Systems in Family Businesses is a pivotal reference source that focuses on HRM in family businesses aiming at clarifying what HRM topics are relevant in family firms given their distinctive features, what the role of HR choices in family firms is, and how they differ in these organizations. While highlighting topics such as quality of work, generational workforce, and leadership management, this publication explores the relationship between HRM systems and the organization as well as why certain theories would be more dominant for family firms. This book is ideally designed for family businesses, managers, executives, entrepreneurs, business professionals, academicians, students, and researchers.
Minority Accommodation Through Territorial and Non-territorial Autonomy
For centuries autonomy has been a public policy tool used to provide stability and cohesion to multicultural societies. Examining case studies on non-territorial autonomy arrangements in comparison with territorial autonomy examples, this volume seeks to inform both design and decision making on managing diversity.
Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. - Provides a step-by-step approach to develop deep learning models - Presents case studies showing end-to-end implementation (source codes: available upon request)
TRENDS IN EBUSINESS AND EGOVERNMENT - DR. ÖMER AYDIN
Technology affects all areas. Business and government processes are changing with the use of the internet, mobile devices, internet of things, blockchain, machine learning, artificial intelligence and many other new technologies. In this book, it is aimed to focus the use of technology, new trends in business life and government covering the studies in all sub-areas of Information Systems, Knowledge Management, eBusiness, eCommerce, eMarketing, mCommerce, eGovernment, ePublic Services, eGovernance etc. The book consists of 7 chapters. Book chapter authors are reputable scientists from different countries of the world. The first chapter is a critical review and a case study in e-Business, wit...
Artificial Intelligence for COVID-19
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
