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Apwimob Ieee Asia Pacific Conference On Wireless And Mobile 2016
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Book Synopsis The 6th International Conference on Wireless, Intelligent and Distributed Environment for Communication by : Isaac Woungang
Download or read book The 6th International Conference on Wireless, Intelligent and Distributed Environment for Communication written by Isaac Woungang and published by Springer Nature. This book was released on 2023-12-20 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 6th International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2023), which took place at Brock University, St. Catharines, Ontario, Canada, October 11-13, 2023. The book addresses issues related to new dependability paradigms, design, and performance of dependable network computing and mobile systems, as well as issues related to the security of these systems. The goal of the conference is to provide a forum for researchers, students, scientists and engineers working in academia and industry to share their experiences, new ideas and research results in the above-mentioned areas.
Book Synopsis Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics by : Triwiyanto
Download or read book Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics written by Triwiyanto and published by Springer Nature. This book was released on 2021-04-16 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Conference proceeding presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2020 held at Surabaya, Indonesia. The contents are broadly divided into three parts: (i) Electronics, (ii) Biomedical Engineering, and (iii) Health Informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.
Author : Publisher :Siti Sharmila Osmin ISBN 13 : Total Pages :7 pages Book Rating :4./5 ( download)
Download or read book written by and published by Siti Sharmila Osmin. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Second International Conference on Computational Intelligence and Informatics by : Vikrant Bhateja
Download or read book Proceedings of the Second International Conference on Computational Intelligence and Informatics written by Vikrant Bhateja and published by Springer. This book was released on 2018-07-23 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains 69 high quality papers presented at International Conference on Computational Intelligence and Informatics (ICCII 2017). The conference was held during 25-27, September, 2017 at Department of Computer Science and Engineering, JNTUHCEH, Hyderabad, Telangana, India. This volume contains papers mainly focused on data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing, and internet of things.
Book Synopsis Applied Technologies by : Miguel Botto-Tobar
Download or read book Applied Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2021-03-31 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Second International Conference on Applied Technologies, ICAT 2020, held in Quito, Ecuador, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 53 papers were carefully reviewed and selected from 145 submissions. The papers are organized according to the following topics: communication; computing; e-government and e-participation; e-learning; electronics; intelligent systems; machine vision; security; technology trends.
Book Synopsis Inventive Communication and Computational Technologies by : G. Ranganathan
Download or read book Inventive Communication and Computational Technologies written by G. Ranganathan and published by Springer Nature. This book was released on 2020-01-29 with total page 1391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2019), held on 29–30 April 2019 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). Topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. The book is chiefly intended for academics and practitioners working to resolve practical issues in this area.
Book Synopsis Smartphone-Based 3D Indoor Localization and Navigation by : Frank Ebner
Download or read book Smartphone-Based 3D Indoor Localization and Navigation written by Frank Ebner and published by Logos Verlag Berlin GmbH. This book was released on 2021-01-10 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate within an airport, a ward within a hospital, or a university's auditorium also represent navigation problems. To provide navigation within such indoor environments, new approaches are required. This thesis examines pedestrian 3D indoor localization and navigation using commodity smartphones: A desirable target platform, always at hand and equipped with a multitude of sensors. The IMU (accelerometer, gyroscope, magnetometer) and barometer allow for pedestrian dead reckoning, that is, estimating relative location changes. Absolute whereabouts can be determined via Wi-Fi, an infrastructure present within most public buildings, or by using Bluetooth Low Energy Beacons as inexpensive supplement. The building's 3D floorplan not only enables navigation, but also increases accuracy by preventing impossible movements, and serves as a visual reference for the pedestrian. All aforementioned information is fused by recursive density estimation based on a particle filter. The conducted experiments cover both, theoretical backgrounds and real-world use-cases. All discussed approaches utilize the infrastructure found within most public buildings, are easy to set up, and maintain. Overall, this thesis results in an indoor localization and navigation system that can be easily deployed, without requiring any special hardware components.
Book Synopsis A Greater Foundation for Machine Learning Engineering by : Dr. Ganapathi Pulipaka
Download or read book A Greater Foundation for Machine Learning Engineering written by Dr. Ganapathi Pulipaka and published by Xlibris Corporation. This book was released on 2021-10-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research scholarly illustrated book has more than 250 illustrations. The simple models of supervised machine learning with Gaussian Naïve Bayes, Naïve Bayes, decision trees, classification rule learners, linear regression, logistic regression, local polynomial regression, regression trees, model trees, K-nearest neighbors, and support vector machines lay a more excellent foundation for statistics. The author of the book Dr. Ganapathi Pulipaka, a top influencer of machine learning in the US, has created this as a reference book for universities. This book contains an incredible foundation for machine learning and engineering beyond a compact manual. The author goes to extraordinary lengths to make academic machine learning and deep learning literature comprehensible to create a new body of knowledge. The book aims at readership from university students, enterprises, data science beginners, machine learning and deep learning engineers at scale for high-performance computing environments. A Greater Foundation of Machine Learning Engineering covers a broad range of classical linear algebra and calculus with program implementations in PyTorch, TensorFlow, R, and Python with in-depth coverage. The author does not hesitate to go into math equations for each algorithm at length that usually many foundational machine learning books lack leveraging the JupyterLab environment. Newcomers can leverage the book from University or people from all walks of data science or software lives to the advanced practitioners of machine learning and deep learning. Though the book title suggests machine learning, there are several implementations of deep learning algorithms, including deep reinforcement learning. The book's mission is to help build a strong foundation for machine learning and deep learning engineers with all the algorithms, processors to train and deploy into production for enterprise-wide machine learning implementations. This book also introduces all the concepts of natural language processing required for machine learning algorithms in Python. The book covers Bayesian statistics without assuming high-level mathematics or statistics experience from the readers. It delivers the core concepts and implementations required with R code with open datasets. The book also covers unsupervised machine learning algorithms with association rules and k-means clustering, metal-learning algorithms, bagging, boosting, random forests, and ensemble methods. The book delves into the origins of deep learning in a scholarly way covering neural networks, restricted Boltzmann machines, deep belief networks, autoencoders, deep Boltzmann machines, LSTM, and natural language processing techniques with deep learning algorithms and math equations. It leverages the NLTK library of Python with PyTorch, Python, and TensorFlow's installation steps, then demonstrates how to build neural networks with TensorFlow. Deploying machine learning algorithms require a blend of cloud computing platforms, SQL databases, and NoSQL databases. Any data scientist with a statistics background that looks to transition into a machine learning engineer role requires an in-depth understanding of machine learning project implementations on Amazon, Google, or Microsoft Azure cloud computing platforms. The book provides real-world client projects for understanding the complete implementation of machine learning algorithms. This book is a marvel that does not leave any application of machine learning and deep learning algorithms. It sets a more excellent foundation for newcomers and expands the horizons for experienced deep learning practitioners. It is almost inevitable that there will be a series of more advanced algorithms follow-up books from the author in some shape or form after setting such a perfect foundation for machine learning engineering.
Book Synopsis International Symposium on Intelligent Informatics by : Sabu M. Thampi
Download or read book International Symposium on Intelligent Informatics written by Sabu M. Thampi and published by Springer Nature. This book was released on 2023-04-04 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly refereed post-conference proceedings of the 7th International Symposium on Intelligent Informatics (ISI 2022), from August 31 to September 1–2, 2022, Trivandrum, India. The revised papers presented are carefully reviewed and selected from several initial submissions. The scope of the Symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.
Book Synopsis Machine Learning, Big Data, and IoT for Medical Informatics by : Pardeep Kumar
Download or read book Machine Learning, Big Data, and IoT for Medical Informatics written by Pardeep Kumar and published by Academic Press. This book was released on 2021-06-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. - Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. - Includes several privacy preservation techniques for medical data. - Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. - Offers case studies and applications relating to machine learning, big data, and health care analysis.
Book Synopsis Cyber Crime and Forensic Computing by : Gulshan Shrivastava
Download or read book Cyber Crime and Forensic Computing written by Gulshan Shrivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-09-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive study of different tools and techniques available to perform network forensics. Also, various aspects of network forensics are reviewed as well as related technologies and their limitations. This helps security practitioners and researchers in better understanding of the problem, current solution space, and future research scope to detect and investigate various network intrusions against such attacks efficiently. Forensic computing is rapidly gaining importance since the amount of crime involving digital systems is steadily increasing. Furthermore, the area is still underdeveloped and poses many technical and legal challenges. The rapid development of the Internet over the past decade appeared to have facilitated an increase in the incidents of online attacks. There are many reasons which are motivating the attackers to be fearless in carrying out the attacks. For example, the speed with which an attack can be carried out, the anonymity provided by the medium, nature of medium where digital information is stolen without actually removing it, increased availability of potential victims and the global impact of the attacks are some of the aspects. Forensic analysis is performed at two different levels: Computer Forensics and Network Forensics. Computer forensics deals with the collection and analysis of data from computer systems, networks, communication streams and storage media in a manner admissible in a court of law. Network forensics deals with the capture, recording or analysis of network events in order to discover evidential information about the source of security attacks in a court of law. Network forensics is not another term for network security. It is an extended phase of network security as the data for forensic analysis are collected from security products like firewalls and intrusion detection systems. The results of this data analysis are utilized for investigating the attacks. Network forensics generally refers to the collection and analysis of network data such as network traffic, firewall logs, IDS logs, etc. Technically, it is a member of the already-existing and expanding the field of digital forensics. Analogously, network forensics is defined as "The use of scientifically proved techniques to collect, fuses, identifies, examine, correlate, analyze, and document digital evidence from multiple, actively processing and transmitting digital sources for the purpose of uncovering facts related to the planned intent, or measured success of unauthorized activities meant to disrupt, corrupt, and or compromise system components as well as providing information to assist in response to or recovery from these activities." Network forensics plays a significant role in the security of today’s organizations. On the one hand, it helps to learn the details of external attacks ensuring similar future attacks are thwarted. Additionally, network forensics is essential for investigating insiders’ abuses that constitute the second costliest type of attack within organizations. Finally, law enforcement requires network forensics for crimes in which a computer or digital system is either being the target of a crime or being used as a tool in carrying a crime. Network security protects the system against attack while network forensics focuses on recording evidence of the attack. Network security products are generalized and look for possible harmful behaviors. This monitoring is a continuous process and is performed all through the day. However, network forensics involves post mortem investigation of the attack and is initiated after crime notification. There are many tools which assist in capturing data transferred over the networks so that an attack or the malicious intent of the intrusions may be investigated. Similarly, various network forensic frameworks are proposed in the literature.
Book Synopsis AI and Blockchain Applications in Industrial Robotics by : Biradar, Rajashekhar C.
Download or read book AI and Blockchain Applications in Industrial Robotics written by Biradar, Rajashekhar C. and published by IGI Global. This book was released on 2023-12-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-evolving industrial landscape poses challenges for businesses, particularly in robotics, where performance optimization and data security are paramount. AI and Blockchain Applications in Industrial Robotics, edited by esteemed scholars Mihai Lazarescu, Rajashekhar Biradar, Geetha Devanagavi, Nikhath Tabassum, and Nayana Hegde, presents the transformative potential of combining AI and blockchain technologies to revolutionize the field. This exceptional book provides comprehensive insights into how AI enhances predictive models and pattern recognition, while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. With practical applications, use cases, and real-world examples, the book caters to a wide range of readers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics. AI and Blockchain Applications in Industrial Robotics equip industries with the tools and understanding to overcome challenges in optimizing performance, ensuring data security, and harnessing emerging technologies. Serving as a beacon of knowledge, this book drives innovation, efficiency, and competitiveness in the industrial sector. Whether for postgraduate students, researchers, industry professionals, undergraduate students, or freelance developers, the book provides valuable insights and practical guidance for implementing AI and blockchain solutions. By embracing the transformative potential of these technologies, industries can unlock new possibilities and propel themselves forward in the ever-advancing world of industrial robotics.
Book Synopsis Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things by : Hayder Al-Kashoash
Download or read book Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things written by Hayder Al-Kashoash and published by Springer. This book was released on 2019-04-17 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) is the next big challenge for the research community. The IPv6 over low power wireless personal area network (6LoWPAN) protocol stack is considered a key part of the IoT. In 6LoWPAN networks, heavy network traffic causes congestion which significantly degrades network performance and impacts on quality of service aspects. This book presents a concrete, solid and logically ordered work on congestion control for 6LoWPAN networks as a step toward successful implementation of the IoT and supporting the IoT application requirements. The book addresses the congestion control issue in 6LoWPAN networks and presents a comprehensive literature review on congestion control for WSNs and 6LoWPAN networks. An extensive congestion analysis and assessment for 6LoWPAN networks is explored through analytical modelling, simulations and real experiments. A number of congestion control mechanisms and algorithms are proposed to mitigate and solve the congestion problem in 6LoWPAN networks by using and utilizing the non-cooperative game theory, multi-attribute decision making and network utility maximization framework. The proposed algorithms are aware of node priorities and application priorities to support the IoT application requirements and improve network performance in terms of throughput, end-to-end delay, energy consumption, number of lost packets and weighted fairness index.
Book Synopsis Smart Trends in Computing and Communications by : Tomonobu Senjyu
Download or read book Smart Trends in Computing and Communications written by Tomonobu Senjyu and published by Springer Nature. This book was released on 2023 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24-25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
Book Synopsis Internet of Things by : Revathi Venkataraman
Download or read book Internet of Things written by Revathi Venkataraman and published by Springer Nature. This book was released on 2023-03-29 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed and selected papers presented during the Third International Conference on Internet of Things, ICIoT 2022, held in Chennai, India, in April 2022. The 10 papers were thoroughly reviewed and selected from the 100 qualified submissions. They focus on application of IoT in the field of Computer Science and Information Technology as well as on Industrial IoT.
Book Synopsis Emerging Technologies in Data Mining and Information Security by : Ajith Abraham
Download or read book Emerging Technologies in Data Mining and Information Security written by Ajith Abraham and published by Springer. This book was released on 2018-09-01 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
Book Synopsis Harmony Search and Nature Inspired Optimization Algorithms by : Neha Yadav
Download or read book Harmony Search and Nature Inspired Optimization Algorithms written by Neha Yadav and published by Springer. This book was released on 2018-08-23 with total page 1209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
