الصفحة 26
الصفحة 26
Developing BIM talent : A guide to the BIM body of knowledge with Metrics, KSAs, and learning outcomes
A systematic Building Information Modeling (BIM) framework features cutting-edge use cases and competencies for students and professionals pursuing BIM careers. Offers: A solid foundation and guidelines for educators and practitioners for starting or enhancing a BIM curriculum or training program Templates, expert interviews, and case studies that provide in-depth knowledge and lessons learned that can facilitate process changes and strategic action plans Strategies for standardizing emerging BIM job tasks, descriptions, and methods for benchmarking performance
Designing machine learning systems : An iterative process for production-ready applications
Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
Design of Wireless Autonomous Datalogger ICs
The book starts with a comprehensive introduction on the most important design aspects and trade-offs for miniaturized low-power telemetric dataloggers. After the general introduction follows an in-depth case study of an autonomous CMOS datalogger IC for the registration of in vivo loads on oral implants. After tackling the design of the datalogger on the system level, the design of the different building blocks is elaborated in detail, with emphasis on low power
Design and Construction of Tunnels : Analysis of controlled deformation in rocks and soils (ADECO-RS)
It uses the advance core (the core of ground ahead of the face) as a structural tool for the long and short term stabilisation of tunnels, after its rigidity has first been regulated using conservation techniques. Tunnels can consequently be driven in difficult stress-strain conditions to predetermined safety standards with operations industrialised and scheduled precisely.
Desert Dust in the Global System
Dust storms, produced by the removal of surface materials from the world’s drylands, are a vital component of the environment. This is because of their role in biogeochemical cycling, their potential influence on climate, their role in sediment accumulation and their influence on human affairs. This book, which is exhaustively referenced, explores and summarises recent research on where dust storms originate, why dust storms are generated, where dust is transported and deposited, the nature of dust deposits and the changing frequency of dust storms over a range of time-scales.
Dermatopathology
This book provides an introduction to the principles of dermatopathology, aimed primarily at dermatologists and pathologists in training, but useful for a wide audience
Depression around us
Depression is a serious medical illness. It's more than just feeling of being sad or "blue" for a few days. If you are one the more 19 million teens and adults in the United States who have depression, the feelings do not go away. They persist and interfere with your everyday life. Depression is a disorder of the brain. There with your everyday life. Depression is a disorder of the brain. There are a variety of causes, including genetic, biological, environmental, and psychological factors. Depression can happen at any age, but it often begins in teens and young adults. It is much more common in women. Women can also get postpartum depression after the birth of a baby. Some people get seasonal affective disorder in the winter.
Dentist on the Ward 2020 : An Introduction to Oral and Maxillofacial Surgery and Medicine For Core Trainees in Dentistry
Provides a concise introduction to the speciality and most of the conditions managed by Oral & Maxillofacial Surgeons in the UK. This includes the commonest Oral Medicine problems. It will be useful to those preparing for undergraduate and non-specialist post-graduate dental examinations.
Dental Radiography : Principles and Techniques
Gives you a comprehensive foundation for the safe, effective use of radiation in the modern dental office. This combination textbook and training manual features easy-to-understand content combined with step-by-step techniques and a stellar art program to help you apply what you’ve learned to practice. Plus, new content focuses on pediatrics and the latest in digital and three-dimensional technology!
Dental neuroimaging: the role of the brain in oral functions
Provides an up-to-date overview of neuroimaging research on the neural mechanisms underlying mastication, swallowing, sensory processing, and other oral topics.
Dental Materials in Operative Dentistry
Outlines the clinical advantages and disadvantages as well as indications and contraindications of different materials. Topics include finishing and polishing restorations and the use of dental curing lights.
Dental implant treatment in medically compromised patients
This book is an ideal reference guide for clinicians seeking to improve their decision making and treatment outcomes when placing dental implants in medically compromised patients, in whom conditions for osseointegration and soft tissue healing may be unfavorable.
Dendritic Neurotransmitter Release
This book presents recent developments in the neurophysiology of dendritic release of several chemical classes of transmitters in a number of different areas of the mammalian central nervous system. Once released from a neuron, these substances can act as neurotransmitters and/or neuromodulators, to autoregulate the original neuron, its synaptic inputs, and adjacent cells or, by volume transmission, to affect distant cells.
Democracy in an Age of Globalisation
In Democracy in an Age of Globalisation, Otfried Höffe develops a comprehensive analysis of the demands, which the process of globalization exerts on the political organisations of humanity. The author starts from a diagnosis of the process of globalisation and frees its concept from its economistic narrowing: Globalisation is a comprehensive process which puts new strains on the economies and political systems of the world, the cultural and social structures of peoples. The scope of its challenges demands solutions, which transcend the powers of the classical nation-state. The question central to the book can be formulated as follows: "How can the social, moral and legal achievements of the nation-state be retained while its structure is reshaped to satisfy the requirements of a globalised world?"
Deepfake detection = اكتشاف التزييف العميق
In the rapidly evolving era of artificial intelligence, addressing the escalating threats of deepfake technology becomes a necessity because of the increasing sophistication of AI algorithms in generating deceptive content, and since it threatens the integrity of information across diverse data. The main objective is to build a sophisticated AI-driven system to detect different types of deepfake in text, audio, and images. In English text deepfake detection, multiple pre-trained tokenizers have been used, but XLNET and BERT stand out with identifying objects outside the dataset with an accuracy of 0.9809 and both have been generalized & trained using LSTM. In Arabic text deepfake detection, Arabert has been trained using LSTM which led with an accuracy of 99.53% by generalizing the model. Both English and Arabic datasets have been generated to enhance the accuracy and effectiveness of the models. Audio deepfake detection has been generalized too, using Random Forest with an accuracy of 98.259%.
Deepfake detection
The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.
Deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety
Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety? This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above.
Deep Learning with PyTorch Lightning : Build and train high-performance artificial intelligence and self-supervised models using Python
You’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide. In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning.
Deep learning pipeline : Building a deep learning model with TensorFlow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
Deep Brain Stimulation in Neurological and Psychiatric Disorders
Deep Brain Stimulation in Neurological and Psychiatric Disorders discusses today’s most current and cutting-edge applications of DBS. Initially used to treat Parkinson’s disease and essential tremor, DBS now has new clinical indications, new anatomic targets, and new technologies that enable an expanded role for DBS in the treatment of other movement disorders.
