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Intelligent Computing Systems and Applications
The book includes peer-reviewed papers presented at the 2nd International Conference on Intelligent Computing Systems and Applications (ICICSA 2023). The book discusses the most recent advances in artificial intelligence, machine learning, data science, natural language processing, computer vision, image processing, embedded systems, robotics, IoT, computer networking and communications, optimization, security, and cryptography, among other topics. It also discusses several application areas and modeling methodologies in many fields. This book will be useful for researchers and academics working in relevant fields.
Soft Computing and its Engineering Applications
This book constitutes the refereed proceedings of the Third International Conference on Soft Computing and its Engineering Applications, icSoftComp 2021, held in Changa, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 29 full papers and 4 short papers presented were carefully reviewed and selected from 247 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
Sensor Data Analytics for Intelligent Healthcare Delivery
This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real‐time and streaming analytics applications in clinical and non‐clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real‐world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains. Key Features: Covers fundamental conce...
Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices
This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and m...
Contemporary Applications of Data Fusion for Advanced Healthcare Informatics
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to coll...
Privacy and Security in Fintech, Healthcare, and Social Applications
This book explores cybersecurity and privacy challenges in healthcare, FinTech, and intelligent systems. It covers blockchain-based protocols for IoMT and IoV, lightweight encryption, secure medical image sharing, DNA-RSA, quantum cryptography, AI-driven fraud analytics, and privacy-preserving federated learning.
Mining Big Data for Frequent Patterns Using MapReduce Computing
The main motivation of frequent pattern mining is to extract useful patterns from the data sets. Interesting associations among the data can be discovered by mining the frequent patterns. Among the different kinds of pattern mining, frequent itemset mining has been applied widely in many applications such as market basket analysis, medical applications, online transactions, social network analysis and so forth. An itemset is called frequent if the set of items in it appear frequently together. However, frequent itemset mining can find only the frequent itemsets, the time regularity of the items cannot be found. Sequential pattern mining considers both the frequency of the items and the order...
