2021 12th International Conference On Information And Communication Systems Icics
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2021 12th International Conference on Information and Communication Systems (ICICS) by IEEE Staff Pdf
The 12th International Conference on Information and Communication Systems (ICICS 2021) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of Computer and Information Sciences The topics that will be covered in the ICICS 2021 include, but are not limited to Artificial Intelligence, Mobile Computing, Networking, Information Security and Cryptography, Intrusion Detection and Computer Forensics, Web Content Mining, Bioinformatics and IT Applications, Database Technology, Systems Integration, Information Systems Analysis and Specification, Communications, and Human Computer Interaction
International Conference on Innovative Computing and Communications by Aboul Ella Hassanien,Oscar Castillo,Sameer Anand,Ajay Jaiswal Pdf
This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17–18, 2023. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Mobile Radio Communications and 5G Networks by Nikhil Marriwala,C.C. Tripathi,Shruti Jain,Dinesh Kumar Pdf
This book features selected high-quality papers from the Third International Conference on Mobile Radio Communications and 5G Networks (MRCN 2022), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during June 10–12, 2022. The book features original papers by active researchers presented at the International Conference on Mobile Radio Communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G, and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.
Computational Intelligence for Clinical Diagnosis by Ferdin Joe John Joseph,Valentina Emilia Balas,S. Suman Rajest,R. Regin Pdf
This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.
Post-COVID Marketing Challenges by Katia Iankova,Pedro Longart Pdf
Contents: Editorial: Marketing after COVID-19: Crisis adaptation, innovation and sustainable technological advances - Katia Iankova and Pedro Longart Branding Al Ain as a tourist destination - Pedro Longart and Katia Iankova Impact of digital marketing on SMEs performance in Saudi Arabia: Implications on building NEOM - Areej Algumzi Innovative crisis-response through best human resources practices during COVID-19 - Bharti Pandya and Bistra Boukareva Antecedents of consumptive behavior prior to the celebration of Eid Al-Fitr during the COVID-19 Pandemic - Amaliyah Amaliyah and Aminatus Zakhra The shifting trend in online buyer’s behaviour under the impact of COVID-19 pandemic in Vietnam - Ha Thu Nguyen, Thuy Dam Luong Hoang, and Huy Khanh Nguyen Social media usage in higher education: Role in marketing and communication during COVID-19- Abhishek Shukla and Kamini Bhasin Slave to sachet economy: Socio-cultural insights -Hernani Manalo and Ma. Riza Manalo Revenue management during the COVIDization of the economy - Radko Radev and Veselina Yankova Exploring the Emirati female student entrepreneurs in the UAE through the theory of planned behaviour - V.S. Damodharan and K.A. Asraar Ahmed A new perspective of brand equity: the case of pottery craft village collective brand in Vietnam - Quang Van Ngo and Ha Thu Thi Vu Antecedents of QR code acceptance during Covid-19: Towards sustainability - K.A. Asraar Ahmed and V.S. Damodharan
Machine Intelligence and Data Science Applications by Vaclav Skala,T. P. Singh,Tanupriya Choudhury,Ravi Tomar,Md. Abul Bashar Pdf
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Intelligent Multimedia Signal Processing for Smart Ecosystems by Shabir A. Parah,Nasir N. Hurrah,Ekram Khan Pdf
A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications.
Artificial Intelligence: Theories and Applications by Mohammed Salem,Juan Julián Merelo,Patrick Siarry,Rochdi Bachir Bouiadjra,Mohamed Debakla,Fatima Debbat Pdf
This volume constitutes selected papers presented at the First International Conference on Artificial Intelligence: Theories and Applications, ICAITA 2022, held in Mascara, Algeria, in November 2022. The 23 papers were thoroughly reviewed and selected from the 66 qualified submissions. They are organized in topical sections on artificial vision; and articial intelligence in big data and natural language processing.
Diagnosis of Neurological Disorders Based on Deep Learning Techniques by Jyotismita Chaki Pdf
This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.
Artificial Intelligence-Augmented Digital Twins by Abdalmuttaleb M. A. Musleh Al-Sartawi,Anas Ali Al-Qudah,Fadi Shihadeh Pdf
Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.
Towards a Wireless Connected World: Achievements and New Technologies by Al-Sakib Khan Pathan Pdf
This book gathers key advances in various areas related to using wireless Internet and wireless connectivity to achieve a more connected world. The world is now highly dependent on Internet connectivity. Even though some parts of the globe remain isolated, the smoothly running world all around us relies on Internet services for countless businesses and activities. During the COVID-19 pandemic, we have seen that exclusively relying on wired Internet would leave out a large part of our tech-savvy world. Hence, wireless connectivity is essential to anywhere, anytime connectivity. Further, in the event of a new pandemic or other disaster of global scale, wireless Internet offers a reliable way to keep us all connected. The contributors to this book, hailing from academia, industrial and research laboratories, report on the latest solutions, trends and technologies with the potential to make wireless Internet more reliable and secure for the years to come.
Geospatial Technology for Sustainable Oil Palm Industry by Kasturi Kanniah,Le Yu Pdf
Oil palm cultivation is a significant contributor to the global agricultural industry, providing valuable resources for various products. While it has faced challenges, including concerns about deforestation and environmental degradation, it is crucial to understand the geographical distribution of oil palms to ensure responsible and sustainable management. This book introduces the application of geospatial technology to the palm oil industry, demonstrating how these tools can address key issues while promoting responsible practices. The topics discussed in the book aim to tackle challenges such as illegal deforestation and the monitoring of environmental impacts associated with oil palm cultivation. Key Features: The first book to explore the use of remote sensing and geospatial technologies for mapping and monitoring oil palm plantations Introduces cutting-edge techniques from the fourth industrial revolution, including the use of the Internet of Things (IoT), Artificial Intelligence, big data and analytics, block chain and 5G technology for effective oil palm tree monitoring Addresses current environmental concerns affecting the industry, including issues like floods, changes in precipitation, temperature, humidity, and El Niño events Explores the scientific aspects of promoting sustainability in oil palm developments and the responsible conversion of rainforests into oil palm plantations Provides a wealth of application data for early detection and continuous monitoring of environmental challenges. This book serves as an insightful resource for those interested in geospatial technologies and their positive impact on monitoring and mitigating environmental changes in the context of the palm oil industry.
