| KS OmniScriptum Publishing

95,550원  | 20250808  | 9786207998210

This book delivers an end-to-end, science-driven methodology for next-generation weather forecasting by integrating deep learning methods with physically based climate models. This book proposes a hybrid model incorporating multimodal data fusion, temporal sequence learning, and physics-constrained neural networks to improve forecast accuracy and credibility by a substantial margin.

 | Springer Nature B.V.

73,480원  | 20210224  | 9789813361096

What is deep learning for those who study physics? Is it completely different from physics? Or is it similar??In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that? Is knowing physics useful in machine learning? Conversely, is knowing machine learning useful in physics??This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally.

 | Auerbach Publications

0원  | 20250523  | 9781138092693

In the current uncertain business and economic environment, business leaders are looking for information and guideposts that help them make their businesses more predictable so they can take the appropriate actions. The Internet of Things(IoT), Deep Learning, Artificial Intelligence (AI) are the underlying technologies of advanced data analytics that promote greater business predictability. This book explains these technologies and their application with use cases.

 | Springer

297,650원  | 20240617  | 9789819918416

As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses. AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges.

 | Apple Academic Press

180,180원  | 20240708  | 9781774638118

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide.

 | Springer Nature B.V.

73,480원  | 20230616  | 9789819918409

Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses.

 | Routledge

91,170원  | 20251027  | 9781032788159

Knowledge building aims to transform schools into learning communities and to bring knowledge creation into schools. The book therefore elaborates on how learning, technology and assessment can be aligned both online and offline to facilitate such a process.

 | CRC Press

97,670원  | 20241219  | 9781032041384

This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: 1. DL for vehicle safety and security, 2. DL for effective vehicle communications, 3. DL for vehicle control, 4. DL for information management, 5. Other applications.

 | Springer

367,480원  | 20220901  | 9789811622359

Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning.

 | Springer Nature B.V.

73,480원  | 20230627  | 9783031294488

This book focuses on the use of artificial intelligence (AI) and computational?intelligence (CI) in medical and related applications. Applications include?all aspects of medicine: from diagnostics (including analysis of medical?images and medical data) to therapeutics (including drug design?and radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning),?techniques for processing expert knowledge (e.g.

Tanaka, Akinori, Tomiya, Akio, Hashimoto, Koji  | Springer

220,480원  | 20210224  | 9789813361072

And you can learn the concepts of deep learning through the words of physics. In fact, the foundation of machine learning can be attributed to physical concepts.

 | MDPI AG

347,260원  | 20250618  | 9783725841950

The aim of this Reprint is to immerse the reader in the latest findings regarding image-processing technology. Currently, image-processing technology is at the core of artificial intelligence, with the aim being to design computer programs that can achieve or mimic human-like intelligence in terms of perception and inference in the real world.

 | Mdpi AG

194,750원  | 20231115  | 9783036593647

Computer Vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing.

 | MDPI AG

170,860원  | 20230209  | 9783036563688

In the last few years,?huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks.

 | Auerbach Publications

390,820원  | 20250521  | 9781032748573

This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep learning, which has been combined with blockchain technology. Deep learning and blockchain applications cover a wide range of domains, ranging from risk management to social services, which this book explores.