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Author: Taye Girma Debelee
Publisher: Springer Nature
ISBN: 3031576241
Category :
Languages : en
Pages : 294
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Book Description
Author: Taye Girma Debelee
Publisher: Springer Nature
ISBN: 3031576241
Category :
Languages : en
Pages : 294
Get Book Here
Book Description
Author: Taye Girma Debelee
Publisher: Springer Nature
ISBN: 303157639X
Category :
Languages : en
Pages : 278
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Book Description
Author: Taye Girma Debelee
Publisher: Springer
ISBN: 9783031576386
Category : Computers
Languages : en
Pages : 0
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Book Description
This two-volume set, CCIS 2068 and 2069, constitutes selected papers presented during the Second Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2023, held in Addis Ababa, Ethiopia, in October 2023. The set goal of the conference is to exchange the best practices of joint Pan-African efforts to provide solutions for Africa’s key 21st century challenges in the social, economic and ecologic domains. The 29 papers were thoroughly reviewed and selected from 134 submissions. The papers are organized in the following topical sections: Medical AI; Natural Language Processing, Text and Speech Processing; AI in Finance and Cyber Security; Autonomous Vehicles; AI Ethics and Life Sciences.
Author: Telex Magloire N. Ngatched
Publisher: Springer Nature
ISBN: 3030933148
Category : Computers
Languages : en
Pages : 285
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Book Description
This book constitutes the refereed post-conference proceedings of the First International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021, which was held in Windhoek, Namibia, in September 2021. The 17 revised full papers presented were carefully selected from 41 submissions. The theme of PAAISS 2021 was “Advancing AI research in Africa” and the papers are arranged according to subject areas: Deep Learning; Classification and Pattern Recognition; Neural Networks and Support Vector Machines; Smart Systems.
Author: Mehta, Shilpa
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 434
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Book Description
In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.
Author: Boivin, Jacquelynne Anne
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 376
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Book Description
As higher education institutions grapple with the rapid evolution of technology, they are faced with a myriad of challenges in effectively integrating these innovations into teaching, learning, and student support services. From navigating the complexities of instructional design to addressing issues of student engagement and success, educators and administrators are often left searching for comprehensive solutions to enhance the academic experience. Moreover, the increasing diversity of student populations and the growing demand for inclusive practices further complicate this landscape, requiring innovative approaches to ensure equitable access and support for all learners. Emerging Technologies Transforming Higher Education: Instructional Design and Student Success emerges as a timely solution to the pressing challenges facing higher education in the digital age. By offering a nuanced exploration of the intersection between technology and academia, this book equips educators and administrators with the knowledge and tools needed to navigate the complexities of technology integration effectively. Through insightful discussions on topics ranging from virtual reality and artificial intelligence to student support services and cybersecurity, this book provides practical guidance for leveraging emerging technologies to enhance teaching, learning, and student success.
Author: Taye Girma Debelee
Publisher: Springer Nature
ISBN: 3031313275
Category : Computers
Languages : en
Pages : 310
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Book Description
This volume consitutes selected papers presented during the First Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2022, held in Addis Ababa, Ethiopia, in October 2022. The 16 papers were thoroughly reviewed and selected from the 49 qualified submissions. The papers are organized in the following topical sections: AI in public health; agriculture; algorithmic optimization; human-machine interaction; economy and security.
Author: Johnson I. Agbinya
Publisher: CRC Press
ISBN: 1000795535
Category : Computers
Languages : en
Pages : 369
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Book Description
The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.
Author: Adekeye Adebajo
Publisher: Manchester University Press
ISBN: 1526156806
Category : History
Languages : en
Pages : 893
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Book Description
With forty accessible essays on the key intellectual contributions to Pan-Africanism, this volume offers readers a fascinating insight into the intellectual thinking and contributions to Pan-Africanism. The book explores the history of Pan-Africanism and quest for reparations, early pioneers of Pan-Africanism as well as key activists and politicians, and Pan-African philosophy and literati. Diverse and key figures of Pan-Africanism from Africa, the Caribbean, and America are covered by these chapters, including: Edward Blyden, W.E.B. Du Bois, Marcus Garvey, Amy Ashwood Garvey, George Padmore, Kwame Nkrumah, Franz Fanon, Amilcar Cabral, Arthur Lewis, Maya Angelou, C.L.R. James, Ruth First, Ali Mazrui, Wangari Maathai, Thabo Mbeki, Wole Soyinka, Derek Walcott, and Chimamanda Adichie. While acknowledging the contributions of these figures to Pan-Africanism, these essays are not just celebratory, offering valuable criticism in areas where their subjects may have fallen short of their ideals.
Author: Ajith Abraham
Publisher: Academic Press
ISBN: 0128236957
Category : Technology & Engineering
Languages : en
Pages : 578
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Book Description
AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. - Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management - Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection - Promotes the importance and uses in managing the agro ecosystem for food security - Emphasizes low energy usage options for low cost and environmental sustainability
