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406 tulosta hakusanalla Nilanjan Dey

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.
Applied Speech Processing

Applied Speech Processing

Nilanjan Dey

Academic Press Inc
2021
nidottu
Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well.
Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis

Nilanjan Dey; Amira S. Ashour; Fuquian Shi; Valentina Emilia Balas

Academic Press Inc
2018
nidottu
Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions.
Social Network Analytics

Social Network Analytics

Nilanjan Dey; Samarjeet Borah; Rosalina Babo; Amira S. Ashour

Academic Press Inc
2018
nidottu
Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.
Embedded Systems and Robotics with Open Source Tools

Embedded Systems and Robotics with Open Source Tools

Nilanjan Dey; Amartya Mukherjee

Productivity Press
2016
sidottu
Embedded Systems and Robotics with Open-Source Tools provides easy-to-understand and easy-to-implement guidance for rapid prototype development. Designed for readers unfamiliar with advanced computing technologies, this highly accessible book: Describes several cutting-edge open-source software and hardware technologiesExamines a number of embedded computer systems and their practical applicationsIncludes detailed projects for applying rapid prototype development skills in real timeEmbedded Systems and Robotics with Open-Source Tools effectively demonstrates that, with the help of high-performance microprocessors, microcontrollers, and highly optimized algorithms, one can develop smarter embedded devices.
Direction of Arrival Estimation and Localization of Multi-Speech Sources

Direction of Arrival Estimation and Localization of Multi-Speech Sources

Nilanjan Dey; Amira S. Ashour

Springer International Publishing AG
2018
nidottu
This book presents research and applications on arrival estimation and localization in speech processing to ensure that the broad vision of the direction of arrival estimation (DOAE) / localization of speech sources is well-established. The book first provides a brief overview of the most classical direction of arrival estimation and localization techniques. It then introduces the concept and model of acoustics sources and then highlights the most contemporary studies on this pervasive problem. In addition, the authors explore employing the optimization algorithms to improve the DOAE techniques. The book then highlights the concept and principles of the multi-DOAE approaches. Using a microphone array, the book introduces the localization and tracking problem of multiple speech/acoustic sources. It includes several applications and real-life speech sources localization based on the DOAE approaches. The book reports the challenges facing the DOAE techniques in speech-sources localization. The book pertains to researchers, designers, and engineers in speech processing fields.
Acoustic Sensors for Biomedical Applications

Acoustic Sensors for Biomedical Applications

Nilanjan Dey; Amira S. Ashour; Waleed S. Mohamed; Nhu Gia Nguyen

Springer International Publishing AG
2018
nidottu
In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration
Despite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising procedures are developed to preserve the quality of the textured image by removing the noise encountered. Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration explores the different medical image de-noising techniques for medical image quality enhancement. It introduces soft computing and optimization techniques and reports on the challenges of medical image denoising, also highlighting artifacts and noise sources in different imaging modalities and discussing performance evaluation metrics. This is a key reference for anyone involved in medical imaging who is looking to learn about both the parametric and non-parametric approaches available and apply them to their own work and research.
A Beginner’s Guide to Image Shape Feature Extraction Techniques
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.
A Beginner’s Guide to Multilevel Image Thresholding

A Beginner’s Guide to Multilevel Image Thresholding

Venkatesan Rajinikanth; Nilanjan Dey; Nadaradjane Sri Madhava Raja

CRC Press
2020
sidottu
A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding Illustrates integration of the thresholding technique with bio-inspired algorithms Includes current findings and future directions of image multi-level thresholding and its practical implementation Emphasizes the need for multi-level thresholding with suitable examplesThe book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.
A Beginner’s Guide to Image Preprocessing Techniques

A Beginner’s Guide to Image Preprocessing Techniques

Jyotismita Chaki; Nilanjan Dey

CRC Press
2020
nidottu
For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing
Smart Computing with Open Source Platforms

Smart Computing with Open Source Platforms

Amartya Mukherjee; Nilanjan Dey

CRC Press Inc
2019
nidottu
Focuses on the concept of open source prototyping and product development and designing sensor networks and covers IoT base applicationsThis book will serves as a single source of introductory material and reference for programming smart computing and Internet of Things (IoT) devices using Arduino with the use of PythonIt covers number of comprehensive DIY experiments through which the reader can design various intelligent systems
Smart Computing with Open Source Platforms

Smart Computing with Open Source Platforms

Amartya Mukherjee; Nilanjan Dey

CRC Press Inc
2019
sidottu
Focuses on the concept of open source prototyping and product development and designing sensor networks and covers IoT base applicationsThis book will serves as a single source of introductory material and reference for programming smart computing and Internet of Things (IoT) devices using Arduino with the use of PythonIt covers number of comprehensive DIY experiments through which the reader can design various intelligent systems
A Beginner’s Guide to Image Shape Feature Extraction Techniques

A Beginner’s Guide to Image Shape Feature Extraction Techniques

Jyotismita Chaki; Nilanjan Dey

Taylor Francis Ltd
2021
nidottu
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.
Mining Multimedia Documents

Mining Multimedia Documents

Wahiba Ben Abdessalem Karaa; Nilanjan Dey

CRC Press
2017
sidottu
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
A Beginner’s Guide to Image Preprocessing Techniques

A Beginner’s Guide to Image Preprocessing Techniques

Jyotismita Chaki; Nilanjan Dey

CRC Press
2018
sidottu
For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing
A Notion of Enterprise Risk Management

A Notion of Enterprise Risk Management

Soumi Majumder; Nilanjan Dey

Emerald Publishing Limited
2024
sidottu
In today's dynamic business landscape, the effective management of risk is paramount to the success and resilience of any organization. A Notion of Enterprise Risk Management presents a comprehensive exploration of practices, policies, and frameworks that enable businesses to navigate a myriad of risks. Contributions from a global team of authors provides a range of insights on Enterprise Risk Management (ERM) and its pivotal role in safeguarding organizations against potential hazards. Drawing on contemporary research, it addresses the unique challenges posed by Industry 4.0, exploring the intersection of risks and cultural shifts within the business landscape. Key topics include the transformative potential of machine learning; big data; and IoT in the domain of enterprise risk management. With its comprehensive coverage and diverse perspectives, A Notion of Enterprise Risk Management is an indispensable resource for individuals involved in any form of risk management. Whether you are an academic researcher, a seasoned practitioner, or a policymaker, this book will equip you with the knowledge and tools necessary to navigate the complexities of enterprise risk management.
Texture Feature Extraction Techniques for Image Recognition

Texture Feature Extraction Techniques for Image Recognition

Jyotismita Chaki; Nilanjan Dey

Springer Verlag, Singapore
2019
nidottu
The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.
Image Color Feature Extraction Techniques

Image Color Feature Extraction Techniques

Jyotismita Chaki; Nilanjan Dey

Springer Verlag, Singapore
2020
nidottu
This book introduces a range of image color feature extraction techniques. Readers are encouraged to try implementing the techniques discussed here on their own, all of which are presented in a very simple and step-by-step manner. In addition, the book can be used as an introduction to image color feature techniques for those who are new to the research field and software. The techniques are very easy to understand as most of them are described with pictorial examples. Not only the techniques themselves, but also their applications are covered. Accordingly, the book offers a valuable guide to these tools, which are a vital component of content-based image retrieval (CBIR).
Artificial Intelligence for Coronavirus Outbreak

Artificial Intelligence for Coronavirus Outbreak

Simon James Fong; Nilanjan Dey; Jyotismita Chaki

Springer Verlag, Singapore
2020
nidottu
This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives.The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.