Photos Transformer

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Deep Learning For Medical Image Analysis

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Author : Dr. Nilima Rakesh Dhumale
language : en
Publisher: Vinsa Publishing
Release Date : 2023-11-23

Deep Learning For Medical Image Analysis written by Dr. Nilima Rakesh Dhumale and has been published by Vinsa Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Medical categories.

Deep learning has become a game-changer in the field of medical diagnosis, completely altering how medical images are analysed and interpreted. This comprehensive book, titled "Deep Learning for Medical Image Analysis" provides a thorough exploration of this rapidly evolving field, guiding readers through the intricacies of deep learning and their applications in medical imaging. Authored by experienced Professors in the field, this book probes into the principles of deep learning, methodically explaining the concepts. The authors effectively bridge the gap between theoretical groundworks and practical uses, representing how deep learning can be harnessed to tackle a wide range of medical image analysis tasks. One of the key strengths of this book lies in its comprehensive coverage of various deep learning-based techniques for medical image analysis. From image segmentation and registration to disease classification and prediction, the book methodically explains the application of deep learning in each domain. The authors provide insightful examples and case studies, showcasing the realworld impact of deep learning in medical diagnosis and treatment planning. The book also delves into the challenges and limitations of deep learning in medical image analysis, addressing issues such as data scarcity, bias, and explainability. The authors encourage critical thinking and discussion, emphasizing the importance of responsible AI development in healthcare. "Deep Learning for Medical Image Analysis" serves as an invaluable resource for researchers, practitioners, and students in the fields of medical imaging, computer vision, and artificial intelligence. Its wide-ranging coverage, clear explanations, and practical examples make it an excellent guide for anyone seeking to understand and apply deep learning techniques in the realm of medical image analysis.

Pattern Recognition And Computer Vision

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Author : Shiqi Yu
language : en
Publisher: Springer Nature
Release Date : 2022-10-27

Pattern Recognition And Computer Vision written by Shiqi Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Computers categories.

The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.

Algorithms In Advanced Artificial Intelligence

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Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2024-07-08

Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Computers categories.

The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.

Advanced Computing

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Author : Deepak Garg
language : en
Publisher: Springer Nature
Release Date : 2023-07-13

Advanced Computing written by Deepak Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-13 with Computers categories.

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: ​AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.

Industrial Power Distribution

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Author : Ralph Fehr
language : en
Publisher: John Wiley & Sons
Release Date : 2015-11-18

Industrial Power Distribution written by Ralph Fehr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Technology & Engineering categories.

This new edition of Industrial Power Distribution addresses key areas of electric power distribution from an end-user perspective, which will serve industry professionals and students develop the necessary skills for the power engineering field. Expanded treatment of one-line diagrams, the per-unit system, complex power, transformer connections, and motor applications New topics in this edition include lighting systems and arc flash hazard Concept of AC Power is developed step by step from the basic definition of power Fourier analysis is described in a graphical sense End-of-chapter exercises If you are an instructor and adopted this book for your course, please email [email protected] to get access to the instructor files for this book.

Intelligent Systems And Data Science

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Author : Nguyen Thai-Nghe
language : en
Publisher: Springer Nature
Release Date : 2023-10-30

Intelligent Systems And Data Science written by Nguyen Thai-Nghe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Computers categories.

This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: ​applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.

Reports

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Author : United States Strategic Bombing Survey
language : en
Publisher:
Release Date : 1946

Reports written by United States Strategic Bombing Survey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1946 with Air warfare categories.

Transformers For Natural Language Processing And Computer Vision

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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-29

Transformers For Natural Language Processing And Computer Vision written by Denis Rothman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.

The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.

Inside Generative Ai

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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :

Inside Generative Ai written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Generative AI represents a groundbreaking frontier in the realm of artificial intelligence, where machines not only learn from data but also create new data, mimicking the inventive processes of human creativity. This book is a comprehensive guide that explores the depths of generative AI, from foundational concepts to advanced applications, and provides a rich array of hands-on projects and real-world case studies. Why Generative AI? In recent years, generative AI has transformed from a niche area of research to a central pillar of AI innovation, with profound implications for various industries. From generating realistic images and videos to composing music and writing compelling narratives, generative AI models are pushing the boundaries of what machines can do. This evolution has not only expanded the capabilities of AI but also sparked new forms of creative expression and problem-solving. Generative AI's impact is evident in numerous fields: Art and Design: Artists and designers are leveraging AI to create stunning visual artworks, intricate designs, and immersive digital environments. Tools like DeepDream and GauGAN have opened new horizons in artistic creativity, enabling the generation of unique and surreal visuals. Media and Entertainment: The media industry is using generative AI to automate content creation, from news articles to movie scripts, and even to generate entire virtual worlds for video games and virtual reality experiences. AI-generated music and soundtracks are also becoming increasingly popular, offering new ways to enhance auditory experiences. Healthcare: In healthcare, generative AI is aiding in the discovery of new drugs, personalizing treatment plans, and enhancing medical imaging. By generating realistic simulations and models, AI helps researchers and practitioners explore new avenues in medical science. Business and Marketing: Businesses are employing generative AI to create personalized marketing content, design products, and optimize supply chains. AI-driven tools are enabling companies to innovate faster and more efficiently, providing a competitive edge in the market. Dive into the projects, experiment with different models, and engage with the AI community. By learning, creating, and sharing, you become a part of the vibrant and dynamic landscape of generative AI. The future is filled with opportunities, and this book is your gateway to exploring and contributing to the exciting world of generative AI. Welcome to the journey!

Art As Transformer

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Author : Adam Grose
language : en
Publisher: Adam Grose
Release Date : 2017-05-26

Art As Transformer written by Adam Grose and has been published by Adam Grose this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-26 with Art categories.

What are the relationships between the photographic image, painting and mediation? This extended essay explores participatory relationships relating to the photographic, painting and our mediation with these images. Since the year 2000 to 2017, the exponential growth in mobile devices has enabled a greater connectivity to the Inter-web, enabling the uploading of individual daily experiences, via social networks, instantaneously sharing digitised images with families, friends and strangers around the world. Although some research explores the impact of social networks on the psychology of users, contributions have generally been beneficial and positive, particularly with social activist movements leading to greater democracy. However, as with all new technologies, we must be cautious about how our psychology is affected and the possible detrimental effects these platforms might have on our identity and social interactions, as well as controlling types of information. We must be vigilant and cautious due to photographic images becoming easier to manipulate. Editorially manipulated collages that form corporationist ideologies that could seek to control ways we interpret our view of the world.