الصفحة 10
الصفحة 10
Digital Photogrammetry : A Practical Course
The main part of the book contains several tutorials. In increasing complexity, accompanied by texts explaining further theory, the reader can proceed step by step through the particular working parts. Most of the standard work in Digital Photogrammetry is shown and trained for example scanning, image orientation, mono and stereo plotting, aerial triangulation measurement (manual and automatic), block adjustment, automatic creation of surface models via image matching, creation of ortho images and mosaics, and others. Not only standard situations are dealt with but also more complex ones, such as unknown camera data, extreme relief or areas with very low contrast. Examples of both aerial and close-range photogrammetry present the power of these type of measurement techniques.
Digital orthodontics: providing a contemporary treatment solution
A comprehensive and detailed overview of the most contemporary techniques in orthodontics. It will help readers to understand complex software systems, software integrations and the equipment needed to deliver the latest techniques to patients undergoing orthodontic treatment. The book has been written in an easy-to-understand way and includes numerous flow diagrams and images of software programs and equipment in order to facilitate the understanding of modern systems.
Digital image processing
Completely self-contained and heavily illustrated, this introduction to basic concepts and methodologies for digital image processing is written at a level that is suitable for seniors and first-year graduate students in almost any technical discipline
Digital astrophotography : The state of the Art
This book is the successor to David Ratledge’s much-acclaimed The Art and Science of CCD Astronomy.CCD cameras and their associated technologies have continued to make great strides since the original book was first published almost eight years ago, particularly in the universal availability of color cameras and in the dramatically lower cost of equipment.Digital Astrophotography: The State of the Art provides examples of the latest and best images, and describes how to get the best out of this extraordinary technology.
Diagnostic Imaging in Head and Neck Cancer
This succinct compendium focuses on the key practical aspects of head and neck cancer imaging. It also provides essential information on handling and analyzing imaging data. Head and neck cancer is the sixth most common cancer worldwide. CT and MRI imaging are absolutely crucial to accurate diagnosis and staging, and radiologists have to be especially familiar with the anatomy of that region of the body. In addition, they must be highly proficient in interpreting radiographic images in order to judge the patterns of metastasis, response to treatment, and the signs and patterns of recurrence. This concise but detailed book describes the latest imaging modalities for all types of head and neck cancer diagnosis in light of recent technological advances. Featuring abundant high-quality images supplemented by advice from experts on the management of each cancer, it is a valuable resource for diagnostic and general radiologists, as well as all medical staff involved in the management of head and neck cancers.
Designing healthy and liveable cities : Creating sustainable urban regeneration
Aim of this book is, after the definition of the field of investigation concerning sustainable regeneration trough topics such as resilience, adaptation, health and mixed connections, to illustrate the present-day approaches to the analysis and design of healthy places, and in particular the original Healthy Pl@ce Design method, flexible and repeatable in different contexts. The method aims at: identifying sustainable urban liveability and healthy and the factors which make places liveable and healthy from the user's point of view and identifying design interventions to enhance or create both urban liveability and health. Emblematic case studies carried out in Europe, USA and China - Bordeaux, Copenhagen, Hamburg, Madrid, Newcastle, Nice, Dublin, Vancouver and Wuhan - constitute the empirical part of the Book detailed with surveys, questionnaires, images and maps.
Dental Image Processing for Human Identification
This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operations.
Dental erosion and its clinical management
In this handbook, the most up-to-date theoretical and practical information on dental erosion is distilled into an accessible, practical, and clinically focused format. Topics are covered in a step-by-step, easy-to-understand manner, with tables, checklists, images, flowcharts, and bullet point-like presentation of core messages that is ideal for busy dental practitioners and students. Procedures and products not yet supported with evidence are not included. Besides providing evidence-based guidance on the varied treatment and prevention strategies, the book examines thoroughly the dental erosion process itself and the intrinsic and extrinsic causes. In addition, careful attention is paid to the etiology, prevalence, and management of dentin hypersensitivity, the restoration of worn dentin, and non-carious cervical lesions. Provides step-by-step, evidence-based guidance on clinical management procedures for dental erosion / Describes the etiology, prevalence, and treatment of dentin hypersensitivity / Discusses restoration of worn dentin and non-carious cervical lesions / Includes informative color images, tables, summary boxes, and flowcharts
Dental Digital Photography : From Dental Clinical Photography to Digital Smile Design
This book provides comprehensive and updated knowledge about dental digital photography. The first part focuses on the fundamental theory of photography, how to select photographic equipment and the basic applications of digital photography in various aspect in dentistry. The second part of the book summaries the different category of digital images.
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.
Deepfake
The technology used to create such digital content has quickly become accessible to the masses, such as “DEEPFAKE.” Deep fakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yields to synthesize a sequence of face images and voices of characters corresponding to their identities, such as voice tone, facial expression, with a good lip synchronization. Therefore, this study is about developing real-time video generation software, which generates a target video from a single input image. Several methods and algorithms have been applied to detect, analyze personalize facial expression, voice and natural head poses to present a life-like image instead of a low quality one.
Deep Learning to See : Towards New Foundations of Computer Vision
Topics and features: Presents a curiosity-driven approach, posing questions to stimulate readers to design novel computational models of vision Offers a rethinking of computer vision, arguing for an approach based on vision in nature, versus regarding visual signals as collections of images Provides an interdisciplinary commentary, aiming to unify computer vision, machine learning, human vision, and computational neuroscience Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions.
Deep fake detection
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is “deepfake”. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable.
Decision Making in Dental Implantology : Atlas of Surgical and Restorative Approaches
offers an image-based resource to both the surgical and restorative aspects of implant therapy, presenting more than 2,000 color images with an innovative case-by-case approach. Takes a highly pictorial approach to all aspects of implant dentistry Discusses both the surgical and restorative aspects of implant therapy in a single resource. Describes a wide range of clinical scenarios likely to be encountered in daily practice Covers anterior, posterior, and full-mouth restorations . Presents more than 2,000 color images showing the basic concepts and clinical cases
Data science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part II
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
Data Science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part I
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
Creating Web-based Laboratories
Remote web-based experimentation, enabling students and researchers to access the laboratory anytime via the Internet, is becoming an increasingly attractive way to complement or even replace traditional laboratory sessions. Placing a video camera & microphone before the equipment and apparatus to capture what is actually happening in the laboratory allows the images and audio data to be streamed to the client side. Researchers in different countries can share equipment and conduct research cooperatively and remotely. The authors summarise their research and discuss the development of the 5 web-based laboratories launched from the National University of Singapore. The principles, structure, and technologies required for the creation of Internet remote experimentation systems are discussed with particular emphasis on the integration of hardware and software systems. Also highlighted is the design and development of interfaces and components for use in typical web-based laboratories or similar web-control applications.
Creating and Enhancing Digital Astro Images
Digital imaging is now available to all amateur astronomers at a reasonable price. The advent of CCDs, DSLRs and – perhaps most significantly – webcams mean today’s astronomers can make colorful planetary or deep-sky images of breathtaking beauty. The results obtained with even modest equipment can be spectacular, but of course they depend crucially on the computer processing of the images after they have been captured. Enhancing Digital Images is not just an introduction to image processing, it is a deeply practical, comprehensive and fully illustrated in-depth guide to using a digital camera, performing image reduction and undertaking image enhancement – all without jargon or math. Here is everything you need to know about processing digital astronomical images, regardless of whether you are experienced or a relative beginner!
Content based image retrieval systems
With an advent of technology, huge collection of digital images is formed as repositories on crime prevention, medical diagnosis, military, face finding, satellites and remote sensing. The task of searching for similar images in the repository is difficult. The data is growing enormously which makes it difficult to store and manage. The traditional image retrieval technique is inefficient in retrieving these images. Content-based image retrieval is an approach from data mining community, which provides the solution of managing this huge quantity of data. In this research, a Content-Based Image Retrieval (CBIR) system has been developed using color and texture as retrieval features from the image repository. The system allows the user to search for an image based on any of the two features alone or in combination by assigning weights to the features. The histogram and color moments approach is used to extract the color feature, texture feature is extracted using statistical moments and co-occurrence matrix method and the shape feature is extracted using the morphological operations. The images and the extracted feature vectors are stored in the Pickle file. The system is robust as it provides search based on the multiple features. The performance of the system was evaluated by analyzing the retrieval results using precision and recall.
