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Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 45,6 Mb
Release : 2024
Category : Electronic
ISBN : 9798369335
Author : Ponnusamy, Sivaram,Antari, Jilali,Bhaladhare, Pawan R.,Potgantwar, Amol D.,Kalyanaraman, Swaminathan
Publisher : IGI Global
Page : 437 pages
File Size : 45,7 Mb
Release : 2024-05-16
Category : Computers
ISBN : 9798369335987
As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcending their initial role as image generators to become indispensable guardians of data security. Within the pages of Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use.
Author : Ponnusamy, Sivaram,Bora, Vibha,Daigavane, Prema M.,Wazalwar, Sampada S.
Publisher : IGI Global
Page : 352 pages
File Size : 40,5 Mb
Release : 2024-03-25
Category : Computers
ISBN : 9798369334072
In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.
Author : Roshani Raut,Pranav D Pathak,Sachin R Sakhare,Sonali Patil
Publisher : CRC Press
Page : 286 pages
File Size : 50,7 Mb
Release : 2023-04-10
Category : Computers
ISBN : 9781000840568
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc. Features: Presents a comprehensive guide on how to use GAN for images and videos. Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN Highlights the inclusion of gaming effects using deep learning methods Examines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutions The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
Author : Rubén Arcos,Irena Chiru,Cristina Ivan
Publisher : Taylor & Francis
Page : 504 pages
File Size : 43,7 Mb
Release : 2023-11-20
Category : Political Science
ISBN : 9781000908206
This interdisciplinary Handbook provides an in-depth analysis of the complex security phenomenon of disinformation and offers a toolkit to counter such tactics. Disinformation used to propagate false, inexact or out of context information is today a frequently used tool of political manipulation and information warfare, both online and offline. This Handbook evidences a historical thread of continuing practices and modus operandi in overt state propaganda and covert information operations. Further, it attempts to unveil current methods used by propaganda actors, the inherent vulnerabilities they exploit in the fabric of democratic societies and, last but not least, to highlight current practices in countering disinformation and building resilient audiences. The Handbook is divided into six thematic sections. The first part provides a set of theoretical approaches to hostile influencing, disinformation and covert information operations. The second part looks at disinformation and propaganda in historical perspective offering case study analysis of disinformation, and the third focuses on providing understanding of the contemporary challenges posed by disinformation and hostile influencing. The fourth part examines information and communication practices used for countering disinformation and building resilience. The fifth part analyses specific regional experiences in countering and deterring disinformation, as well as international policy responses from transnational institutions and security practitioners. Finally, the sixth part offers a practical toolkit for practitioners to counter disinformation and hostile influencing. This handbook will be of much interest to students of national security, propaganda studies, media and communications studies, intelligence studies and International Relations in general.
Author : Ilsun You
Publisher : Springer Nature
Page : 420 pages
File Size : 41,7 Mb
Release : 2020-12-08
Category : Computers
ISBN : 9783030652999
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on Information Security Applications, WISA 2020, held in Jeju Island, South Korea, in August 2020. The 30 full research papers included in this book were carefully reviewed and selected from 89 submissions. They are organized in the following topical sections: AI Security and Intrusion Detection; Steganography and Malware; Application, System, and Hardware Security; Cryptography; Advances in Network Security and Attack Defense; and Cyber Security.
Author : Tomonobu Senjyu
Publisher : Springer Nature
Page : 518 pages
File Size : 54,8 Mb
Release : 2024-06-10
Category : Electronic
ISBN : 9789819713295
Author : Swarnalatha, P.,Prabu, S.
Publisher : IGI Global
Page : 463 pages
File Size : 42,8 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668481004
Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Author : Jason Brownlee
Publisher : Machine Learning Mastery
Page : 655 pages
File Size : 48,7 Mb
Release : 2019-07-11
Category : Computers
ISBN : 8210379456XXX
Step-by-step tutorials on generative adversarial networks in python for image synthesis and image translation.
Author : Hadis Karimipour,Pirathayini Srikantha,Hany Farag,Jin Wei-Kocsis
Publisher : Springer Nature
Page : 328 pages
File Size : 40,8 Mb
Release : 2020-07-23
Category : Computers
ISBN : 9783030455415
This book presents a comprehensive overview of security issues in Cyber Physical Systems (CPSs), by analyzing the issues and vulnerabilities in CPSs and examining state of the art security measures. Furthermore, this book proposes various defense strategies including intelligent attack and anomaly detection algorithms. Today’s technology is continually evolving towards interconnectivity among devices. This interconnectivity phenomenon is often referred to as Internet of Things (IoT). IoT technology is used to enhance the performance of systems in many applications. This integration of physical and cyber components within a system is associated with many benefits; these systems are often referred to as Cyber Physical Systems (CPSs). The CPSs and IoT technologies are used in many industries critical to our daily lives. CPSs have the potential to reduce costs, enhance mobility and independence of patients, and reach the body using minimally invasive techniques. Although this interconnectivity of devices can pave the road for immense advancement in technology and automation, the integration of network components into any system increases its vulnerability to cyber threats. Using internet networks to connect devices together creates access points for adversaries. Considering the critical applications of some of these devices, adversaries have the potential of exploiting sensitive data and interrupting the functionality of critical infrastructure. Practitioners working in system security, cyber security & security and privacy will find this book valuable as a reference. Researchers and scientists concentrating on computer systems, large-scale complex systems, and artificial intelligence will also find this book useful as a reference.
Author : Mohamed Loey,Florentin Smarandache,Nour Eldeen M. Khalifa
Publisher : Infinite Study
Page : 19 pages
File Size : 42,6 Mb
Release : 2024-06-10
Category : Mathematics
ISBN : 8210379456XXX
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to theWorld Health Organization (WHO). With the advances in computer algorithms and especially Artificial Intelligence, the detection of this type of virus in the early stages will help in fast recovery and help in releasing the pressure off healthcare systems.
Author : Shahram Latifi
Publisher : Springer Nature
Page : 515 pages
File Size : 41,5 Mb
Release : 2021-06-04
Category : Computers
ISBN : 9783030704162
This volume represents the 18th International Conference on Information Technology - New Generations (ITNG), 2021. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.
Author : Leonard Barolli
Publisher : Springer Nature
Page : 602 pages
File Size : 49,6 Mb
Release : 2023-03-14
Category : Computers
ISBN : 9783031284519
Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
Author : Stefan Jansen
Publisher : Packt Publishing Ltd
Page : 822 pages
File Size : 45,6 Mb
Release : 2020-07-31
Category : Business & Economics
ISBN : 9781839216787
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Author : Vladimir Bok,Jakub Langr
Publisher : Simon and Schuster
Page : 367 pages
File Size : 49,7 Mb
Release : 2019-09-09
Category : Computers
ISBN : 9781638354239
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.