deep learning research applications (77 Ergebnisse)

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Hardback. Zustand: New. Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. The Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In 'Deep Learning Applications in Chiropractic Research', the potential of deep learning algorithms to transform chiropractic research is explored. By analyzing large datasets and identifying complex patterns, researchers can identify new insights, develop more accurate models, and optimize clinical trials. This book provides a comprehensive introduction to deep learning, including neural network architectures, training algorithms, and model evaluation. It also offers case studies and examples of successful applications in chiropractic research, demonstrating the power of deep learning to drive innovation and improve patient care. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Python has emerged as a leading language for machine learning and deep learning applications, thanks to its simplicity, flexibility, and extensive libraries. Python for Machine Learning and Deep Learning Applications for Business and Research offers a comprehensive guide to leveraging Python for building and deploying machine learning and deep learning models. By examining the latest Python libraries and frameworks, this book provides a hands-on introduction to building predictive models, natural language processing, and computer vision applications. From the basics of Python programming to the deployment of machine learning models, this book equips readers with the knowledge and skills necessary to create innovative solutions for business and research. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Neural Networks and Deep Learning Applications and Research is a comprehensive exploration of the latest advancements in neural networks and deep learning technologies. By examining the latest research in the field, this book provides a detailed overview of the most recent techniques and methodologies, highlighting their potential applications in various fields, including computer science, engineering, and medicine. Through a nuanced analysis of the latest findings, this book offers a unique perspective on the development of innovative neural networks and deep learning systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Deep Learning Applications in Paleobotany Research is a pioneering work that applies the principles of deep learning to the study of ancient plants. By leveraging the power of neural networks, this book demonstrates how paleobotany research can be enhanced, accelerated, and transformed in a digital age. Through a combination of theoretical foundations and practical case studies, the authors show how deep learning can be used to analyze and interpret paleobotanical data, providing new insights and perspectives on the evolution of plant life on Earth. By harnessing the potential of deep learning, this book offers a new approach to paleobotany research that is both innovative and effective, empowering scientists to explore the ancient history of plant life in unprecedented detail. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.