Text Segmentation And Recognition For Enhanced Image Spam Detection

Text Segmentation And Recognition For Enhanced Image Spam Detection Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Text Segmentation And Recognition For Enhanced Image Spam Detection book. This book definitely worth reading, it is an incredibly well-written.

Text Segmentation and Recognition for Enhanced Image Spam Detection

Mallikka Rajalingam
Text Segmentation and Recognition for Enhanced Image Spam Detection Book PDF

Author : Mallikka Rajalingam
Publisher : Springer Nature
Page : 120 pages
File Size : 44,7 Mb
Release : 2020-08-10
Category : Technology & Engineering
ISBN : 9783030530471

Get Book

Text Segmentation and Recognition for Enhanced Image Spam Detection by Mallikka Rajalingam Pdf

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

Tong Lu,Shivakumara Palaiahnakote,Chew Lim Tan,Wenyin Liu
Video Text Detection Book PDF

Author : Tong Lu,Shivakumara Palaiahnakote,Chew Lim Tan,Wenyin Liu
Publisher : Springer
Page : 264 pages
File Size : 50,8 Mb
Release : 2014-07-23
Category : Computers
ISBN : 9781447165156

Get Book

Video Text Detection by Tong Lu,Shivakumara Palaiahnakote,Chew Lim Tan,Wenyin Liu Pdf

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

Horst Bunke,Patrick Shen-pei Wang,Henry S. Baird
Document Image Analysis Book PDF

Author : Horst Bunke,Patrick Shen-pei Wang,Henry S. Baird
Publisher : World Scientific
Page : 282 pages
File Size : 54,6 Mb
Release : 1994
Category : Computers
ISBN : 9789810220464

Get Book

Document Image Analysis by Horst Bunke,Patrick Shen-pei Wang,Henry S. Baird Pdf

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

Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi
Computational Intelligence in Pattern Recognition Book PDF

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi
Publisher : Springer Nature
Page : 692 pages
File Size : 47,8 Mb
Release : 2022-06-20
Category : Technology & Engineering
ISBN : 9789811930898

Get Book

Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,S. Vimal,Danilo Pelusi Pdf

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.

Malware Analysis Using Artificial Intelligence and Deep Learning

Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Malware Analysis Using Artificial Intelligence and Deep Learning Book PDF

Author : Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Publisher : Springer Nature
Page : 651 pages
File Size : 55,7 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9783030625825

Get Book

Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp,Mamoun Alazab,Andrii Shalaginov Pdf

​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.

NEURAL NETWORK

Narayan Changder
NEURAL NETWORK Book PDF

Author : Narayan Changder
Publisher : CHANGDER OUTLINE
Page : 109 pages
File Size : 43,9 Mb
Release : 2023-10-18
Category : Computers
ISBN : 8210379456XXX

Get Book

NEURAL NETWORK by Narayan Changder Pdf

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)

S. Kanimozhi Suguna,M. Dhivya,Sara Paiva
Artificial Intelligence AI Book PDF

Author : S. Kanimozhi Suguna,M. Dhivya,Sara Paiva
Publisher : CRC Press
Page : 331 pages
File Size : 45,7 Mb
Release : 2021-05-27
Category : Computers
ISBN : 9781000375527

Get Book

Artificial Intelligence (AI) by S. Kanimozhi Suguna,M. Dhivya,Sara Paiva Pdf

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

Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay
Soft Computing Theories and Applications Book PDF

Author : Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay
Publisher : Springer
Page : 865 pages
File Size : 43,7 Mb
Release : 2017-11-23
Category : Technology & Engineering
ISBN : 9789811056871

Get Book

Soft Computing: Theories and Applications by Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay Pdf

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

Jonas Christensen,Nakul Bajaj,Manmohan Gosada
Data Centric Machine Learning with Python Book PDF

Author : Jonas Christensen,Nakul Bajaj,Manmohan Gosada
Publisher : Packt Publishing Ltd
Page : 378 pages
File Size : 40,6 Mb
Release : 2024-02-29
Category : Computers
ISBN : 9781804612415

Get Book

Data-Centric Machine Learning with Python by Jonas Christensen,Nakul Bajaj,Manmohan Gosada Pdf

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

Joel J. P. C. Rodrigues,Parul Agarwal,Kavita Khanna
IoT for Sustainable Smart Cities and Society Book PDF

Author : Joel J. P. C. Rodrigues,Parul Agarwal,Kavita Khanna
Publisher : Springer Nature
Page : 333 pages
File Size : 53,5 Mb
Release : 2022-05-10
Category : Technology & Engineering
ISBN : 9783030895549

Get Book

IoT for Sustainable Smart Cities and Society by Joel J. P. C. Rodrigues,Parul Agarwal,Kavita Khanna Pdf

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

Soumen Banerjee,Jyotsna Kumar Mandal
Advances in Smart Communication Technology and Information Processing Book PDF

Author : Soumen Banerjee,Jyotsna Kumar Mandal
Publisher : Springer Nature
Page : 484 pages
File Size : 52,7 Mb
Release : 2021-02-15
Category : Technology & Engineering
ISBN : 9789811594335

Get Book

Advances in Smart Communication Technology and Information Processing by Soumen Banerjee,Jyotsna Kumar Mandal Pdf

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

Alfonso Limon,Louise Y Sun,Robert Brisk,Francisco Lopez- Jimenez
Intelligence Based Cardiology and Cardiac Surgery Book PDF

Author : Alfonso Limon,Louise Y Sun,Robert Brisk,Francisco Lopez- Jimenez
Publisher : Elsevier
Page : 542 pages
File Size : 42,6 Mb
Release : 2023-09-19
Category : Science
ISBN : 9780323906296

Get Book

Intelligence-Based Cardiology and Cardiac Surgery by Alfonso Limon,Louise Y Sun,Robert Brisk,Francisco Lopez- Jimenez Pdf

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

Deep Learning in Internet of Things for Next Generation Healthcare

Lavanya Sharma,Pradeep Kumar Garg
Deep Learning in Internet of Things for Next Generation Healthcare Book PDF

Author : Lavanya Sharma,Pradeep Kumar Garg
Publisher : CRC Press
Page : 311 pages
File Size : 40,7 Mb
Release : 2024-06-18
Category : Computers
ISBN : 9781040030820

Get Book

Deep Learning in Internet of Things for Next Generation Healthcare by Lavanya Sharma,Pradeep Kumar Garg Pdf

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, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges 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.

The Internet Unconscious

Sandy Baldwin
The Internet Unconscious Book PDF

Author : Sandy Baldwin
Publisher : Bloomsbury Publishing USA
Page : 201 pages
File Size : 51,8 Mb
Release : 2015-02-26
Category : Social Science
ISBN : 9781628923407

Get Book

The Internet Unconscious by Sandy Baldwin Pdf

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

Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Trends in Deep Learning Methodologies Book PDF

Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publisher : Academic Press
Page : 308 pages
File Size : 43,6 Mb
Release : 2020-11-12
Category : Computers
ISBN : 9780128232682

Get Book

Trends in Deep Learning Methodologies by Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava Pdf

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