Advances in Smart Medical, IoT & Artificial Intelligence : Proceedings of ICSMAI'2024, Volume 1 / edited by Mohammed Serrhini, Kamal Ghoumid.

Format:

Book

Author/Creator:

Serrhini, Mohammed.

Contributor:

Ghoumid, Kamal.

Series:

Information Systems Engineering and Management, 3004-9598 ; 11

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (340 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This comprehensive book brings together the brightest minds in academic, featuring a curated selection of papers and presentations from the esteemed conference. With a focus on the intersection of the conference themes, this book provides a unique platform for researchers, practitioners, and innovators to share their cutting-edge research, innovations, and solutions. Get ready to dive into the latest advancements in Artificial Intelligence and Internet of Things for Healthcare, Computer Vision, world of computer science, featuring advancements in machine learning, natural language processing, and more with the Proceedings of SMAI2024. This book presents a comprehensive and interdisciplinary examination of the applications, challenges, and implications of AI-IoT convergence in different contexts such Smart Healthcare/Smart Technologies/Smart Industry, computer vision, and NLP. Through a series of erudite chapters, esteemed experts in computer sciences, healthcare, physics, technology, and research domains provide authoritative insights into the transformative potential of this synergy. As editors, we are proud to present a curated collection of contributions that reflect the latest research findings, innovations, and best practices in IA technology. The editors’ objective is to provide a nuanced and authoritative exploration of the AI-IoT nexus, with the aim of inspiring further research, collaboration, and innovation in the pursuit of excellence in Artificial Intelligence.

Contents:

Chapter 1. Adaptive DSR Metrics for Low-Energy LoRa Mesh Ad Hoc Routing: Theoretical Study on Forest Fire DetectionAdaptive DSR Metrics for Low-Energy LoRa Mesh Ad Hoc Routing: Theoretical Study on Forest Fire Detection

Chapter 2. Towards Predictive Water Quality: Synergies between Machine Learning and Internet of Things

Chapter 3. Forest Fire Surveillance through Deep Learning Segmentation and Drone Technology

Chapter 4. Literature Review: Combining Machine Learning with Social Network Analysis features

Chapter 5. Monte Carlo simulation of a modified Elekta Precise linear accelerator used for flash radiotherapy using TOPAS (TOol for Particle Simulation). Chapter 6. Hall effect sensors Based Experiment to Study the viscosity of a fluid in Real-time

Chapter 7. Novel Thermodynamics Teaching Approach: Temperature Sensor-Based on a Real-Time Verification

Chapter 8. Blockchain-Enhanced Peer Review: A Novel Approach to Academic Publishing

Chapter 9. Transfer Learning for Efficiency in Elderly Fall Detection with Limited Data Samples

Chapter 10. Handcrafted and Deep Trackers: A Survey

Chapter 11. Automatic detection of glaucoma using transfer learning

Chapter 12. Advancing Moroccan Darija Digit Recognition Through a Deep Learning Approach with RNN, LSTM, and GRU Models

Chapter 13. Bacterial Infections and Antimicrobial Resistance: The contribution of Artificial Intelligence.-...Etc.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-66850-2

OCLC:

1455347758