Text Segmentation And Recognition For Enhanced Image Spam Detection

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Text Segmentation and Recognition for Enhanced Image Spam Detection

Author : Mallikka Rajalingam
Publisher : Springer Nature
ISBN 13 : 3030530477
Total Pages : 120 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Text Segmentation and Recognition for Enhanced Image Spam Detection by : Mallikka Rajalingam

Download or read book Text Segmentation and Recognition for Enhanced Image Spam Detection written by Mallikka Rajalingam and published by Springer Nature. This book was released on 2020-08-10 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses email spam detection and its challenges such as text classification and categorization. The book proposes an efficient spam detection technique that is a combination of Character Segmentation and Recognition and Classification (CSRC). The author describes how this can detect whether an email (text and image based) is a spam mail or not. The book presents four solutions: first, to extract the text character from the image by segmentation process which includes a combination of Discrete Wavelet Transform (DWT) and skew detection. Second, text characters are via text recognition and visual feature extraction approach which relies on contour analysis with improved Local Binary Pattern (LBP). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the performance of the proposed method is validated by the measure of metric named as sensitivity, specificity, precision, recall, F-measure, accuracy, error rate and correct rate. Presents solutions to email spam detection and discusses its challenges such as text classification and categorization; Analyzes the proposed techniques’ performance using precision, F-measure, recall and accuracy; Evaluates the limitations of the proposed research thereby recommending future research.

Video Text Detection

Author : Tong Lu
Publisher : Springer
ISBN 13 : 1447165152
Total Pages : 272 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Video Text Detection by : Tong Lu

Download or read book Video Text Detection written by Tong Lu and published by Springer. This book was released on 2014-07-23 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Document Image Analysis

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9810220464
Total Pages : 282 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Document Image Analysis by : Horst Bunke

Download or read book Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1994 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das
Publisher : Springer Nature
ISBN 13 : 9811930899
Total Pages : 692 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2022-06-20 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 – 24 April 2022. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Machine Learning Algorithms for Signal and Image Processing

Author : Suman Lata Tripathi
Publisher : John Wiley & Sons
ISBN 13 : 1119861829
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Learning Algorithms for Signal and Image Processing by : Suman Lata Tripathi

Download or read book Machine Learning Algorithms for Signal and Image Processing written by Suman Lata Tripathi and published by John Wiley & Sons. This book was released on 2022-12-01 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Malware Analysis Using Artificial Intelligence and Deep Learning

Author : Mark Stamp
Publisher : Springer Nature
ISBN 13 : 3030625826
Total Pages : 651 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Malware Analysis Using Artificial Intelligence and Deep Learning by : Mark Stamp

Download or read book Malware Analysis Using Artificial Intelligence and Deep Learning written by Mark Stamp and published by Springer Nature. This book was released on 2020-12-20 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Email Spam Filtering

Author : Gordon V. Cormack
Publisher : Now Publishers Inc
ISBN 13 : 1601981465
Total Pages : 136 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Email Spam Filtering by : Gordon V. Cormack

Download or read book Email Spam Filtering written by Gordon V. Cormack and published by Now Publishers Inc. This book was released on 2008 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Email Spam Filtering: A Systematic Review surveys current and proposed spam filtering techniques with particular emphasis on how well they work. The primary focus is on spam filtering in email, while similarities and differences with spam filtering in other communication and storage media - such as instant messaging and the Web - are addressed peripherally. Email Spam Filtering: A Systematic Review examines the definition of spam, the user's information requirements and the role of the spam filter as one component of a large and complex information universe. Well known methods are detailed sufficiently to make the exposition self-contained; however, the focus is on considerations unique to spam. Comparisons, wherever possible, use common evaluation measures and control for differences in experimental setup. Such comparisons are not easy, as benchmarks, measures and methods for evaluating spam filters are still evolving. The author surveys these efforts, their results and their limitations. In spite of recent advances in evaluation methodology, many uncertainties (including widely held but unsubstantiated beliefs) remain as to the effectiveness of spam filtering techniques and as to the validity of spam filter evaluation methods. Email Spam Filtering: A Systematic Review outlines several uncertainties and proposes experimental methods to address them. Email Spam Filtering: A Systematic Review is a highly recommended read for anyone conducting research in the area or charged with controlling spam in a corporate environment.

NEURAL NETWORK

Author : Narayan Changder
Publisher : CHANGDER OUTLINE
ISBN 13 :
Total Pages : 109 pages
Book Rating : 4./5 ( download)

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Book Synopsis NEURAL NETWORK by : Narayan Changder

Download or read book NEURAL NETWORK written by Narayan Changder and published by CHANGDER OUTLINE. This book was released on 2023-10-18 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a transformative journey into the world of "NEURAL NETWORKS" with our definitive MCQ guide, "NeuroNexis." Tailored for AI enthusiasts, students, and professionals delving into the fascinating field of neural networks, this resource is your key to unraveling the intricacies of artificial intelligence, deep learning, and the revolutionary capabilities of neural network architectures. Dive into a knowledge-rich experience, progressing from foundational to advanced concepts through a series of thoughtfully curated multiple-choice questions. Key Features: MCQ Exploration: Navigate through a diverse array of questions covering fundamental principles, neural network architectures, and the unique characteristics of deep learning, ensuring a comprehensive understanding of this transformative field. Detailed Explanations: Elevate your knowledge with comprehensive explanations accompanying each MCQ, unraveling the intricacies of activation functions, backpropagation, and the principles that define the power of neural network computation. Real-World Applications: Bridge theory and practice, connecting neural network concepts to real-world applications in image recognition, natural language processing, and solving complex problems across various domains. Progressive Difficulty Levels: Challenge yourself with questions ranging from foundational to advanced, providing a structured learning experience suitable for learners at all levels. Visual Learning Tools: Reinforce your understanding with visual aids such as neural network diagrams, activation function graphs, and deep learning architecture illustrations, enhancing your grasp of neural network concepts. Embark on a quest for neural knowledge with "NeuroNexis: NEURAL NETWORKS." Download your copy now to master the essential skills needed for understanding the transformative potential of neural networks. Whether you're a student, AI enthusiast, or a professional in the field, this guide is your key to unlocking the capabilities of neural network architectures with precision and expertise.

Artificial Intelligence (AI)

Author : S. Kanimozhi Suguna
Publisher : CRC Press
ISBN 13 : 1000375528
Total Pages : 331 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence (AI) by : S. Kanimozhi Suguna

Download or read book Artificial Intelligence (AI) written by S. Kanimozhi Suguna and published by CRC Press. This book was released on 2021-05-27 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the complete functional framework workflow in Artificial Intelligence technology Explores basic and high-level concepts Based on the latest technologies covering the major challenges, issues, and advances in AI Discusses intelligent and automated system through AI and its implications to the real-world Presents data acquisition and case studies related to data-intensive technologies

Soft Computing: Theories and Applications

Author : Millie Pant
Publisher : Springer
ISBN 13 : 9811056870
Total Pages : 865 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Soft Computing: Theories and Applications by : Millie Pant

Download or read book Soft Computing: Theories and Applications written by Millie Pant and published by Springer. This book was released on 2017-11-23 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on soft computing and its applications to solve real-life problems occurring in different domains ranging from medical and health care, supply chain management and image processing to cryptanalysis. It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing. The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks, and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques for solving complex and intricate problems arising in different spheres of life. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. SoCTA is the first international conference being organized at Amity University Rajasthan (AUR), Jaipur. The objective of SoCTA 2016 is to provide a common platform to researchers, academicians, scientists, and industrialists working in the area of soft computing to share and exchange their views and ideas on the theory and application of soft computing techniques in multi-disciplinary areas. The aim of the conference is to bring together young and experienced researchers, academicians, scientists, and industrialists for the exchange of knowledge. SoCTA especially encourages the young researchers at the beginning of their career to participate in this conference and present their work on this platform.

Data-Centric Machine Learning with Python

Author : Jonas Christensen
Publisher : Packt Publishing Ltd
ISBN 13 : 1804612413
Total Pages : 378 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Data-Centric Machine Learning with Python by : Jonas Christensen

Download or read book Data-Centric Machine Learning with Python written by Jonas Christensen and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python Key Features Grasp the principles of data centricity and apply them to real-world scenarios Gain experience with quality data collection, labeling, and synthetic data creation using Python Develop essential skills for building reliable, responsible, and ethical machine learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of ‘small data’. Delving into the building blocks of data-centric ML/AI, you’ll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you’ll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you’ll get a roadmap for implementing data-centric ML/AI in diverse applications in Python. By the end of this book, you’ll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.What you will learn Understand the impact of input data quality compared to model selection and tuning Recognize the crucial role of subject-matter experts in effective model development Implement data cleaning, labeling, and augmentation best practices Explore common synthetic data generation techniques and their applications Apply synthetic data generation techniques using common Python packages Detect and mitigate bias in a dataset using best-practice techniques Understand the importance of reliability, responsibility, and ethical considerations in ML/AI Who this book is for This book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML/AI in their organizations.

IoT for Sustainable Smart Cities and Society

Author : Joel J. P. C. Rodrigues
Publisher : Springer Nature
ISBN 13 : 3030895548
Total Pages : 333 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis IoT for Sustainable Smart Cities and Society by : Joel J. P. C. Rodrigues

Download or read book IoT for Sustainable Smart Cities and Society written by Joel J. P. C. Rodrigues and published by Springer Nature. This book was released on 2022-05-10 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a sound theoretical base and an extensive practical expansion of smart sustainable cities and societies, while also examining case studies in the area to help readers understand IoT driven solutions in smart cities. The book covers fundamentals, applications, and challenges of IoT for sustainable smart cities and society. With a good understanding of IoT and smart cities, and the associated communication protocols, the book provides an insight into its applications in several areas of smart cities. Models, architectures, and algorithms are presented that provide additional solutions. The main challenges discussed that are associated with IoT involved include security, privacy, authenticity, etc. The book is relevant to researchers, academics, professionals, and students.

Advances in Smart Communication Technology and Information Processing

Author : Soumen Banerjee
Publisher : Springer Nature
ISBN 13 : 9811594333
Total Pages : 484 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Smart Communication Technology and Information Processing by : Soumen Banerjee

Download or read book Advances in Smart Communication Technology and Information Processing written by Soumen Banerjee and published by Springer Nature. This book was released on 2021-02-15 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of best selected research papers presented at the 6th International Conference on Opto-Electronics and Applied Optics (OPTRONIX 2020) organized by the University of Engineering & Management, Kolkata, India, in June 2020. The primary focus is to address issues and developments in optoelectronics with particular emphasis on communication technology, IoT and intelligent systems, information processing and its different kinds. The theme of the book is in alignment with the theme of the conference “Advances in Smart Communication Technology and Information Processing.” The purpose of this book is to inform the scientists and researchers of this field in India and abroad about the latest developments in the relevant field and to raise awareness among the academic fraternity to get them involved in different activities in the years ahead – an effort to realize knowledge-based society.

Intelligence-Based Cardiology and Cardiac Surgery

Author : Alfonso Limon
Publisher : Elsevier
ISBN 13 : 032390629X
Total Pages : 542 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Intelligence-Based Cardiology and Cardiac Surgery by : Alfonso Limon

Download or read book Intelligence-Based Cardiology and Cardiac Surgery written by Alfonso Limon and published by Elsevier. This book was released on 2023-09-19 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine. Covers a wide range of relevant topics from real-world data, large language models, and supervised machine learning to deep reinforcement and federated learning Presents artificial intelligence concepts and their applications in many areas in an easy-to-understand format accessible to clinicians and data scientists Discusses using artificial intelligence and related technologies with cardiology and cardiac surgery in a myriad of venues and situations Delineates the necessary elements for successfully implementing artificial intelligence in cardiovascular medicine for improved patient outcomes Presents the regulatory, ethical, legal, and financial issues embedded in artificial intelligence applications in cardiology

The Internet Unconscious

Author : Sandy Baldwin
Publisher : Bloomsbury Publishing USA
ISBN 13 : 1501320017
Total Pages : 201 pages
Book Rating : 4.5/5 (13 download)

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Book Synopsis The Internet Unconscious by : Sandy Baldwin

Download or read book The Internet Unconscious written by Sandy Baldwin and published by Bloomsbury Publishing USA. This book was released on 2016-08-25 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the N. Katherine Hayles Award for Criticism of Electronic Literature from the Electronic Literature Organization There is electronic literature that consists of works, and the authors and communities and practices around such works. This is not a book about that electronic literature. It is not a book that charts histories or genres of this emerging field, not a book setting out methods of reading and understanding. The Internet Unconscious is a book on the poetics of net writing, or more precisely on the subject of writing the net. By 'writing the net', Sandy Baldwin proposes three ways of analysis: 1) an understanding of the net as a loosely linked collocation of inscriptions, of writing practices and materials ranging from fundamental TCP/IP protocols to CAPTCHA and Facebook; 2) as a discursive field that codifies and organizes these practices and materials into text (and into textual practices of reading, archiving, etc.), and into an aesthetic institution of 'electronic literature'; and 3) as a project engaged by a subject, a commitment of the writers' body to the work of the net. The Internet Unconscious describes the poetics of the net's “becoming-literary,” by employing concepts that are both technically-specific and poetically-charged, providing a coherent and persuasive theory. The incorporation and projection of sites and technical protocols produces an uncanny displacement of the writer's body onto diverse part objects, and in turn to an intense and real inhabitation of the net through writing. The fundamental poetic situation of net writing is the phenomenology of “as-if.” Net writing involves construal of the world through the imaginary.

Trends in Deep Learning Methodologies

Author : Vincenzo Piuri
Publisher : Academic Press
ISBN 13 : 0128232684
Total Pages : 308 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Trends in Deep Learning Methodologies by : Vincenzo Piuri

Download or read book Trends in Deep Learning Methodologies written by Vincenzo Piuri and published by Academic Press. This book was released on 2020-11-12 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises

Author : Zhao, Jingyuan
Publisher : IGI Global
ISBN 13 : 1799896420
Total Pages : 461 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises by : Zhao, Jingyuan

Download or read book Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises written by Zhao, Jingyuan and published by IGI Global. This book was released on 2022-04-08 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Necessity is the mother of invention; challenging times can provide new opportunities that must be detected and exploited at the right moments. The COVID-19 pandemic has demonstrated that it is not only an issue of healthcare but also a challenge for the global economy, business, and society. Organizations have rapidly deployed technology solutions that enable them to work and service remotely and continue most of their normal operations. The Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises focuses on emerging technologies and systems, strategies, and solutions for e-collaboration. This book assesses the importance of technologies and systems for e-collaboration in dealing with emerging crises such as pandemics. Covering topics such as deep learning processes, machine vision, and profit-sharing models, it is an essential resource for computer scientists, public officials, engineers, students and professors of higher education, healthcare administration, programmers, researchers, and academicians.