الصفحة 13
الصفحة 13
Frommer's radiology for the dental professional
With a wealth of features that underscore practical application, you will not only learn the proper step-by-step techniques for safe and effective dental imaging, but you’ll also learn how to evaluate and, if applicable, interpret the images. This full-color 10th Edition boasts new content on digital imaging, expanded information on radiation safety and infection control, plus updated new photos of the latest techniques and technology. New chapter summaries and review questions further reinforce your understanding and application skills, and feature boxes help you troubleshoot and prevent common errors. Overall, it’s the ideal radiology introduction for anyone pursuing a successful career in the dental professions!
From Gestalt Theory to Image Analysis : A Probabilistic Approach
This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images. These techniques are inspired from and are a mathematical formalization of the Gestalt theory. Gestalt theory, which had never been formalized is a rigorous realm of vision psychology developped between 1923 and 1975. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis.
From Cells to Proteins : Imaging Nature across Dimensions ; Proceedings of the NATO Advanced Study Institute, held in Pisa, Italy, 12-23 September 2004
This book offers updated information on how much information we are able to obtain in the exploration of the inner details of biological specimens in their native structure and composition. And deals with the implementation of laser beam and stage scanning systems incorporating confocal optics or multiphoton microscopy; the advent of new electro-optical detectors with great sensitivity, linearity, and dynamic range; the possibility of 2D fast image enhancement, reconstruction, restoration, analysis and 3D display, and the application of luminescence techniques.
Free Boundary Problems : Theory and Applications
This book gathersa collection of refereed articles containing original result srepo- ing the recent originalcontributions of the lectures and communications presented at the Free Boundary Problems (FBP2005) Conference that took place at the University of Coimbra, Portugal, from 7 to 12 of June 2005. They deal with the Mathematics of a broad class of models and problems involving nonlinear partial diferentialequationsarising inPhysics, Engineering, Biology and Finance. Among the main topics, the talks considered free boundary problems in biomedicine, in porous media, in thermodynamic modeling.
Fractals in Engineering : New Trends in Theory and Applications
The strong potential of this research can be seen in real industrial situations with recent progress being made in areas such as chemical engineering, internet traffic, physics and finance. Image processing continues to be a major field of application for fractal analysis and is well-represented here. Consisting of papers written by a world-wide pool of experts, the multidisciplinary approach of this third volume will be of particular interest to industrial researchers and practitioners as well as to academics from many backgrounds.
Fractals in Biology and Medicine : Beyond Planting Trees
This volume it highlights the potential that fractal geometry offers for elucidating and explaining the complex make-up of cells, tissues and biological organisms either in normal or in pathological conditions, including the structural changes that occur in tumours. It helps develop the concepts, questions and methods required in research on fractal biology and natural phenomena and to evidence the pitfalls of a too simplistic application of these principles in investigating topical subjects of biology and medicine. It discusses present and future applications of fractal geometry, bringing together cellular and molecular biology, engineering, mathematics, physics, medicine and other disciplines and allowing an interdisciplinary vision.
Foundations and applications of sensor management
Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling.
Foundation PHP for Dreamweaver 8
In this book, we look specifically at using Dreamweaver's built-in server behaviors to build dynamic web sites using PHP and MySQL, the world's most popular open source server-side language and database server combination, which are both reliable, powerful, and open source (and therefore free to use). This version of Dreamweaver includes more powerful support for PHP and MySQL than ever before, and we'll show you how to make this work for you. No previous experience of PHP or MySQL is necessary to use this book. Examples built throughout the book include a content management system, and an online image gallery. All examples are designed to meet modern usability requirements and be web standards-compliant.
Foundation models for natural language processing : pre-trained language models integrating media
Covers basic natural language processing models, pre-trained language models BERT, GPT, and sequence-to-sequence converters, as well as the concepts of self-attention and context-sensitive embedding. Various approaches to improving these models are then discussed, such as expanding the pre-training parameters, increasing the length of input texts, or incorporating additional knowledge. An overview of the best performing models is then provided for about twenty application areas, e.g., question answering, translation, story generation, dialogue systems, image generation from text, etc. For each application area, the strengths and weaknesses of existing models are discussed, and an overview of further developments is provided. In addition, links to freely available code are provided. The concluding chapter summarizes the economic opportunities, risk mitigation, and potential developments of AI.
Forest Mensuration
Van Laar and Akça’s popular text book, Forest Mensuration, was first published in 1997. Like that first edition, this modern update is based on extensive research, teaching and practical experience in both Europe, and the tropics and subtropics. However, it has also been extensively revised, and now includes chapters on remote sensing and the application of aerial photographs and satellite imagery. As with its predecessor, this book assumes no advanced knowledge of statistical methods, and combines practical techniques with important historical and disciplinary context. The result is a strong balance between a handbook on traditional mensuration methods, and a valuable reference on the many recent research and inventory-related innovations which have emerged in recent years.
Food lens = فود لينس
Food lens is an innovative application designed to revolutionize dietary management by leveraging advanced image recognition and nutritional analysis. The primary objective of this senior project is to develop a user-friendly tool that identifies various foods through a camera interface and provides detailed nutritional information. This application not only enhances the user's understanding of their dietary intake but also assists in achieving personalized health and fitness goals. The core functionality of Food Lens involves the integration of a robust image recognition system capable of accurately identifying a wide range of foods. Upon identification, the application retrieves comprehensive nutritional data, including calorie content, macronutrient distribution (proteins, fats, carbohydrates), and essential micronutrients (vitamins and minerals). This data is then seamlessly integrated into the user's dietary profile. Food Lens is designed to track the user's daily caloric intake and compare it against personalized recommendations based on age, gender, weight, height, and activity level. By maintaining a dynamic record of consumed foods, the application provides real-time feedback on the user’s nutritional progress. This feature is particularly beneficial for individuals aiming to manage weight, address dietary restrictions, or improve overall health.
Focal liver lesions : Detection, characterization, ablation
Few fields of medicine have witnessed such impressive progress as the diagnosis and treatment of liver tumors. Advances in imaging technology, the development of novel contrast agents, and the introduction of optimized scanning protocols have greatly facilitated the non-invasive detection and characterization of focal liver lesions. Furthermore, image-guided techniques for percutaneous tumor ablation have become an accepted alternative treatment for patients with inoperable liver cancer. This book provides a comprehensive and up-to-date overview of the role of diagnostic and interventional radiology in respect of liver tumors. The volume moves from background sections on methodology and segmental liver anatomy to the main sections on the diagnosis of benign and malignant liver lesions. An integrated approach, focused on the correlation of ultrasound, CT, and MR imaging findings, is presented. Finally, a full section describes the principles, methods, and results of percutaneous tumor ablation techniques.
Feyerabend’s Epistemological Anarchism : How Science Works and its Importance for Science Education
argues that the traditional image of Feyerabend is erroneous and that, contrary to common belief, he was a great admirer of science. It shows how Feyerabend presented a vision of science that represented how science really works. Besides giving a theoretical framework based on Feyerabend´s philosophy of science, offers criteria that can help readers to evaluate and understand research reported in important international science education journals, with respect to Feyerabend’s epistemological anarchism. includes an evaluation of general chemistry and physics textbooks.
Fashionity
This project is an AI fashion design system to generate fashion images based on user textual description. The proposed system incorporates advanced technology for dissemination and machine translation with the aim of facilitating a seamless user experience for input in both Arabic and English languages. Moreover, the project encompasses the incorporation of a recommendation system that proposes appropriate visual content based on user style. The primary objective of this project is to develop a robust framework capable of generating high-quality images based on textual descriptions, providing recommendations for similar clothing items, and facilitating the retrieval of photographic and apparel articles through image search.
Fashion recommender systems
The impact of social networks and the influence that fashion influencers have on the choices people make for shopping is undeniable. For instance, many people use Instagram to learn about fashion trends from top influencers, which helps them to buy similar or even exact outfits from the tagged brands in the post. When traced, customers’ social behavior can be a very useful guide for online shopping websites, providing insights on the styles the customers are really interested in, and hence aiding the online shops in offering better recommendations and facilitating customers quest for outfits.
Fashion forge
"Fashion forge" revolutionizes clothing shopping with a cutting-edge mobile application. This AI-powered platform empowers users to describe their dream garment and visualize it instantly, bridging the gap between imagination and reality for fashion-forward users and designers. A recommendation system tailors clothing suggestions based on user preferences, while stores leverage a dedicated social platform for effective marketing. "Fashion Forge" fosters a connected fashion community, empowering users, designers, and stores alike.
Face Biometrics for Personal Identification : Multi-Sensory Multi-Modal Systems
This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
Explainable AI with Python
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others.
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolutionary Synthesis of Pattern Recognition Systems
Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational techniques, such as genetic programming (GP), linear genetic programming (LGP), coevolutionary genetic programming (CGP) and genetic algorithms (GA) to automate the synthesis and analysis of object detection and recognition systems. The book’s concepts, principles, and methodologies will enable readers to automatically build robust and flexible systems—in a systematic manner—that can provide human-competitive performance and reduce the cost of designing and maintaining these systems. Its content covers all key aspects of object recognition: object detection, feature selection, feature discovery, object recognition, domain knowledge. Basic knowledge of programming and data structures, and some calculus, is presupposed.ing the book’s novel ideas
