Category: Tech & Devices

Spatiotemporal Data Analytics and Modeling: Techniques and Applications by John A, Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang
Requirements: .ePUB, .PDF reader, 18.9 MB
Overview: With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with Artificial Intelligence and Machine Learning and Internet of Things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with Artificial Intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of Artificial Intelligence and Machine Learning for spatiotemporal data analysis and modeling. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as Data Science and engineering, Big Data analytics and mining, Artificial Intelligence, Machine Learning and Deep Learning, cloud computing, and Internet of Things.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://ouo.io/fIMSO5P
https://katfile.com/n6u044j2dfng/Spatio … g.rar.html
https://rapidgator.net/file/9838e775a01 … g.rar.html.

Deep Learning in Internet of Things for Next Generation Healthcare by Lavanya Sharma, Pradeep Kumar Garg
Requirements: .PDF reader, 10.2 MB
Overview: This book presents the latest developments in Deep Learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with Deep Learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of Deep Learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with Deep Learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, and genomes. Convolutional neural networks (CNNs), in particular, are excellent at extracting hierarchical characteristics from images using Deep Learning models. These models learn to recognize edges, textures, forms, and even intricate patterns inside images in the context of human vision. CNNs may automatically identify pertinent features for IoT applications from unprocessed visual data without the need for explicit feature engineering. The classifcation and recognition of objects is one of the most important uses of Deep Learning and human vision in IoT. Deep Learning models can be taught to identify and categorize objects in frames of pictures or videos. Security (intruder detection), retail (product identifcation), healthcare (medical image analysis), and other felds all make use of these capabilities. Postgraduate students and researchers in the departments of Computer Science, working in the areas of the IoT, Deep Learning, Machine Learning, image processing, Big Data, cloud computing, and remote sensing will find this book useful.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://ouo.io/7wfCtR
https://katfile.com/p1xbp6v99exb/Deep_L … e.pdf.html
https://rapidgator.net/file/8ceb52837ae … e.pdf.html.

Data Storytelling with Generative AI: using Python and Altair (MEAP V05) by Angelica Lo Duca
Requirements: .ePUB, .PDF reader, 51.45 mb
Overview: Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.

After you’ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python’s Altair library and generative AI tools like Copilot and ChatGPT, it’s never been easier to create intuitive data presentations.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://rapidgator.net/file/36263883bd8 … I.rar.html
https://ouo.io/tq3dRBk.

Computers and Society: Modern Perspectives by Ronald Baecke
Requirements: .ePUB reader, 4.6 mb
Overview: The last century has seen enormous leaps in the development of digital technologies, and most aspects of modern life have changed significantly with their widespread availability and use. Technology at various scales – supercomputers, corporate networks, desktop and laptop computers, the internet, tablets, mobile phones, and processors that are hidden in everyday devices and are so small you can barely see them with the naked eye – all pervade our world in a major way.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://rapidgator.net/file/4e6a2940344 … .epub.html
https://ouo.io/UFtPTZ6.

Practical Web Accessibility: A Comprehensive Guide to Digital Inclusion, 2nd Edition by Ashley Firth
Requirements: .ePUB, .PDF reader, 59.5 MB | True PDF, True ePUB
Overview: Everyone deserves to use the Internet. An estimated 1.3 billion people experience significant disability. That’s 16percent of the world’s population, or one in six of us. At the same time, over 96 percent of the one million most popular websites have an accessibility issue. Add to this the massive rise in legal cases around sites not being accessible, including Beyoncé, Disney, and Netflix, and you have an important topic that more and more people are starting to engage with. In this updated and revamped second edition of the Amazon technology chart-topping Practical Web Accessibility, you’ll be guided through a broad range of disabilities and access needs. You’ll understand the ways these users typically engage with the web, the barriers they often face, and practical advice on how your websites and content can be compliant, but more than that, inclusive and enjoyable to use. There’s also a new chapter on “Outsourcing Accessibility,” exploring third party “bolt-on” tools, “build your own website” platforms like Wix, and popular design systems. You‘ll explore whether they’re helpful or detrimental in the fight to make the web more accessible. For anyone, regardless of what they do, who wants to learn how to make websites and their content more accessible for those with disabilities. In the world of web, the book has been used by front and backend developers, designers, product and project managers, team and business leaders.
Genre: Non-Fiction > Tech & Devices



Download Instructions:
https://ouo.io/UmyBFK
https://ouo.io/9uvolL
https://rapidgator.net/file/74ea6a0d723 … y.rar.html.