- From: George Mastorakis <mastorakis@gmail.com>
- Date: Fri, 6 Dec 2024 12:08:49 +0200
- To: undisclosed-recipients: ;
- Message-ID: <aad627a8-6e0d-4260-9fd7-048e3e570fe5@gmail.com>
*Call for Book Chapters for the Springer-Verlag Handbook:*** *“Intelligent Transformative Technologies”*** *(covered by Scopus)* */Editors/* *Athina Bourdena, Hellenic Mediterranean University, Greece* *Constandinos X. Mavromoustakis, University of Nicosia, Cyprus* *Evangelos K. Markakis, Hellenic Mediterranean University, Greece* *George Mastorakis, Hellenic Mediterranean University, Greece* Integration of intelligent technologies across industries has become increasingly transformative, with AI, big data, and advanced networking at the forefront of this revolution. These technologies have the potential to reshape industries by enhancing decision-making processes, optimizing operations and enabling new forms of innovation. From improving organizational efficiency to driving forward breakthroughs in personalized services, intelligent technologies offer a wide range of benefits that are crucial for businesses and organizations worldwide. One of the most promising areas of intelligent technologies is AI-driven decision making. AI has shown great potential in transforming how businesses operate by providing real-time insights, predictive capabilities and automating complex processes. Machine learning models and advanced algorithms can identify patterns in vast data sets, enabling businesses to anticipate market changes, optimize logistics and create more efficient supply chains. These advancements not only increase profitability but also allow for the creation of more customer-centric services. Another significant area where intelligent technologies are having an impact is in big data analytics for real-time insights. Big data analytics enable organizations to process and analyze large volumes of information at unprecedented speeds, providing insights that can be acted upon almost immediately. From smart cities monitoring urban dynamics to healthcare systems predicting disease outbreaks, the ability to leverage big data in real-time has become an essential asset for decision-makers. The emergence of edge computing in combination with AI is also paving the way for more efficient data processing closer to the source. This approach reduces latency and improves the performance of applications like IoT systems, autonomous vehicles and smart grids. The book delves into how edge AI, combined with technologies like 6G, is transforming industries by enabling decentralized decision-making and faster responses to data-intensive tasks. Blockchain technology, when integrated with AI, is also revolutionizing industries such as finance and supply chain management. This integration enhances security, transparency, and accountability in business processes. In the field of natural language processing (NLP) and conversational AI, the advancements have been remarkable. With applications spanning from virtual assistants to automated customer service systems, NLP has become a critical technology in improving human-computer interaction. Machine learning models have made significant strides in understanding and generating human language, enabling businesses to offer more personalized and intuitive interactions with their users. Sections of interest include but are /_not limited_/ to: /Section I — Introduction to Intelligent Transformative Technologies/ /Section II — AI Architectures and Intelligent Systems for Industry Transformation/ /Section III— Big Data Analytics and Real-Time Insights/ /Section IV— Edge Computing and Intelligent IoT Networks/ /Section V— Blockchain and AI Integration for Enhanced Security/ /Section VI— AI Applications in Healthcare and Personalized Medicine/ /Section VII— 6G Networks and Smart Cities: The Role of AI/ /Section VIII— AI-Enabled and Autonomous Systems/ /We strongly welcome _other topic suggestions_//./ _Schedule & Deadlines_ ·*_15^th February 2025_* Full chapter submission via e-mail: gmastorakis@hmu.gr <mailto:gmastorakis@hmu.gr> ·*_15^th March 2025_* Review comments ·*_15^th April 2025_* Submission of the revised version ·*_30^th April 2025 _* Final acceptance notification ·*_15^th May 2025_**__* Final manuscript _Manuscript Preparation_ * Please follow the manuscript formatting guidelines below and submit the original version (in */Microsoft word/*) and or */LaTex/* format as per the guidelines (URL:https://www.springer.com/us/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation). * Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted. * Submit your chapter(s) via e-mail: gmastorakis@hmu.gr <mailto:gmastorakis@hmu.gr>
Received on Friday, 6 December 2024 10:09:10 UTC