Recent Advances in Logo Detection Using Machine Learning Paradigms

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Publisher : Springer Nature
ISBN 13 : 3031598113
Total Pages : 128 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Recent Advances in Logo Detection Using Machine Learning Paradigms by : Yen-Wei Chen

Download or read book Recent Advances in Logo Detection Using Machine Learning Paradigms written by Yen-Wei Chen and published by Springer Nature. This book was released on with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Paradigms

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Publisher : Springer
ISBN 13 : 3030137430
Total Pages : 230 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning Paradigms by : Maria Virvou

Download or read book Machine Learning Paradigms written by Maria Virvou and published by Springer. This book was released on 2019-03-16 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Leveraging AI for Effective Digital Relationship Marketing

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Publisher : IGI Global
ISBN 13 :
Total Pages : 634 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Leveraging AI for Effective Digital Relationship Marketing by : Santos, José Duarte

Download or read book Leveraging AI for Effective Digital Relationship Marketing written by Santos, José Duarte and published by IGI Global. This book was released on 2024-10-11 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s businesses face the pressing challenge of how to effectively engage and build lasting relationships with customers in an increasingly crowded and competitive online space. Traditional marketing tactics are no longer sufficient to capture the attention and loyalty of modern consumers who demand personalized experiences and sustainable practices from the brands they support. This shifting paradigm necessitates innovative solutions that leverage cutting-edge technologies to enhance customer engagement and foster meaningful connections. Leveraging AI for Effective Digital Relationship Marketing addresses this critical dilemma by exploring the transformative potential of artificial intelligence (AI) in revolutionizing customer relationships. By harnessing the power of AI-driven strategies, businesses can gain deeper insights into individual customer behaviors and preferences, enabling them to deliver personalized interactions and anticipate customer needs with unparalleled accuracy. Through the implementation of AI-powered solutions, companies can navigate the complexities of digital marketing with confidence, positioning themselves as leaders in building sustainable and mutually beneficial relationships with their customers.

Fusion of Machine Learning Paradigms

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Publisher : Springer Nature
ISBN 13 : 3031223713
Total Pages : 204 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Fusion of Machine Learning Paradigms by : Ioannis K. Hatzilygeroudis

Download or read book Fusion of Machine Learning Paradigms written by Ioannis K. Hatzilygeroudis and published by Springer Nature. This book was released on 2023-02-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.

Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture

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Publisher : Frontiers Media SA
ISBN 13 : 2832544959
Total Pages : 379 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture by : Muhammad Fazal Ijaz

Download or read book Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture written by Muhammad Fazal Ijaz and published by Frontiers Media SA. This book was released on 2024-02-19 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Intrusion Detection

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Publisher : Springer
ISBN 13 : 3642236448
Total Pages : 407 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Recent Advances in Intrusion Detection by : Robin Sommer

Download or read book Recent Advances in Intrusion Detection written by Robin Sommer and published by Springer. This book was released on 2012-02-11 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection, RAID 2011, held in Menlo Park, CA, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.

Recent Advances on Memetic Algorithms and its Applications in Image Processing

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Publisher : Springer Nature
ISBN 13 : 9811513627
Total Pages : 209 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Recent Advances on Memetic Algorithms and its Applications in Image Processing by : D. Jude Hemanth

Download or read book Recent Advances on Memetic Algorithms and its Applications in Image Processing written by D. Jude Hemanth and published by Springer Nature. This book was released on 2019-12-07 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.

Recent Advances on Soft Computing and Data Mining

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Publisher : Springer Nature
ISBN 13 : 3031669657
Total Pages : 452 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Recent Advances on Soft Computing and Data Mining by : Rozaida Ghazali

Download or read book Recent Advances on Soft Computing and Data Mining written by Rozaida Ghazali and published by Springer Nature. This book was released on 2024 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. It provides practical insights into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computing and data mining, also known as data-driven science, encompass a diverse range of interdisciplinary scientific methods and processes. The proceedings of "Recent Advances on Soft Computing and Data Mining" provide comprehensive knowledge to address various challenges encountered in complex systems. By integrating practices and applications from both domains, it offers a robust framework for tackling these issues. To excel in data-driven ecosystems, researchers, data analysts, and practitioners must carefully select the most suitable approaches and tools. Understanding the design choices and options available is essential for appreciating the underlying concepts, tools, and techniques utilized in these endeavors.

Recent Advances in Artificial Intelligence Research and Development

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Publisher : IOS Press
ISBN 13 : 161499806X
Total Pages : 312 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Recent Advances in Artificial Intelligence Research and Development by : I. Aguiló

Download or read book Recent Advances in Artificial Intelligence Research and Development written by I. Aguiló and published by IOS Press. This book was released on 2017-10-25 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence in all its forms is increasingly interwoven into all our lives, and remains one of the most lively areas of discussion and interest in technology today. This book presents the proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence (CCIA’2017): ‘Recent Advances in Artificial Intelligence Research and Development’, held in Deltebre, Terres de l'Ebre, Spain, in October 2017. Despite its title, this annual conference is not only for researchers from the Catalan Countries, but is an international event which attracts participants from countries all around the world. In total, 41 original contributions were submitted to CCIA’2017. Of these, 21 were accepted as long papers for oral presentation and 13 were accepted as short papers to be presented as posters. These 34 submissions appear in this book organized around a number of different topics including: agents and multi-agent systems; artificial vision and image processing; machine learning; artificial neural networks; cognitive modeling; fuzzy logic and reasoning; robotics; and AI applications. The book also includes abstracts of the 3 presentations by invited speakers. The book offers a representative sample of the current state of the art in the artificial intelligence community, and will be of interest to all those working with AI worldwide.

Recent Advances in Artificial Neural Networks

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Publisher : CRC Press
ISBN 13 : 1351093118
Total Pages : 263 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Recent Advances in Artificial Neural Networks by : L. C. Jain

Download or read book Recent Advances in Artificial Neural Networks written by L. C. Jain and published by CRC Press. This book was released on 2018-05-04 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Simulation Modeling - Recent Advances, New Perspectives, and Applications

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Publisher : BoD – Books on Demand
ISBN 13 : 183769706X
Total Pages : 290 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Simulation Modeling - Recent Advances, New Perspectives, and Applications by : Abdo Abou Jaoudé

Download or read book Simulation Modeling - Recent Advances, New Perspectives, and Applications written by Abdo Abou Jaoudé and published by BoD – Books on Demand. This book was released on 2024-09-11 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A simulation is the imitation of the operation of a real-world process or system over time. Simulations require the use of models in which a model represents the key characteristics or behaviors of the selected system or process and the simulation represents the evolution of the model over time. Computers are often used to execute simulations. This book provides a comprehensive overview of simulation modeling and explores its use to solve a large set of problems. It is a useful resource for scholars, researchers, and undergraduate and graduate students in pure and applied mathematics, physical sciences, engineering and technology, computer science, numerical analysis, scientific computing, and science in general.

Advanced Machine Learning Approaches in Cancer Prognosis

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Publisher : Springer Nature
ISBN 13 : 3030719758
Total Pages : 461 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advanced Machine Learning Approaches in Cancer Prognosis by : Janmenjoy Nayak

Download or read book Advanced Machine Learning Approaches in Cancer Prognosis written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2021-05-29 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.

Advances in Machine Learning and Image Analysis for GeoAI

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Publisher : Elsevier
ISBN 13 : 044319078X
Total Pages : 366 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Advances in Machine Learning and Image Analysis for GeoAI by : Saurabh Prasad

Download or read book Advances in Machine Learning and Image Analysis for GeoAI written by Saurabh Prasad and published by Elsevier. This book was released on 2024-04-26 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. - Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale - Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others - Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery

Advancements in Indoor Environmental Quality and Health

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Publisher : BoD – Books on Demand
ISBN 13 : 0850140188
Total Pages : 156 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Advancements in Indoor Environmental Quality and Health by :

Download or read book Advancements in Indoor Environmental Quality and Health written by and published by BoD – Books on Demand. This book was released on 2024-05-29 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection synthesizes diverse studies in Indoor Environmental Quality (IEQ) engineering. The book begins with a review of crucial factors such as thermal comfort and air quality, then moves on to explore technological applications. Chapters address such topics as the intersection of IEQ, sustainability, and occupant well-being, the evolution of IEQ standards and protocols, and the integration of machine learning techniques into IEQ assessment.

Recent Advances in Intelligent Engineering

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Publisher : Springer
ISBN 13 : 3030143503
Total Pages : 311 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Recent Advances in Intelligent Engineering by : Levente Kovács

Download or read book Recent Advances in Intelligent Engineering written by Levente Kovács and published by Springer. This book was released on 2019-03-15 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers contributions on fuzzy neural control, intelligent and non-linear control, dynamic systems and cyber-physical systems. It presents the latest theoretical and practical results, including numerous applications of computational intelligence in various disciplines such as engineering, medicine, technology and the environment. The book is dedicated to Imre J. Rudas on his seventieth birthday.

Recent Advances in Mathematics and Technology

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Publisher : Springer Nature
ISBN 13 : 3030352021
Total Pages : 190 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Recent Advances in Mathematics and Technology by : Serge Dos Santos

Download or read book Recent Advances in Mathematics and Technology written by Serge Dos Santos and published by Springer Nature. This book was released on 2020-02-21 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this volume are based on talks given at the inaugural Technology, Engineering and Mathematics Conference (TEM18), held from March 26 to 27, 2018 in Kenitra, Morocco. Advances in mathematical modeling, optimization, numerical analysis, signal processing, and computer science are presented by leading experts in these fields. There is a particular emphasis on stochastic analysis, machine learning algorithms, and deep learning models, which are highly relevant to the state-of-the-art in augmented, virtual, and mixed realities. Topics include: Harmonic analysis Big data analytics and applications Biomathematics Computer engineering and applications Economics and financial engineering Medical imaging and non-destructive testing This volume is ideal for engineers and researchers working in technological fields that need to be modeled and simulated using the tools of modern mathematics.

Automated Machine Learning and Meta-Learning for Multimedia

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Publisher : Springer Nature
ISBN 13 : 3030881326
Total Pages : 240 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Automated Machine Learning and Meta-Learning for Multimedia by : Wenwu Zhu

Download or read book Automated Machine Learning and Meta-Learning for Multimedia written by Wenwu Zhu and published by Springer Nature. This book was released on 2022-01-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.