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Connected Objects, Artificial Intelligence, Telecommunications and Electronics Engineering : Proceedings of COCIA'2025 / edited by Youssef Mejdoub, Abdelkebir Elamri, Mustapha Kardouchi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Mejdoub, Youssef.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1584
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Electrical engineering.
- Artificial intelligence.
- Computational Intelligence.
- Electrical and Electronic Engineering.
- Artificial Intelligence.
- Local Subjects:
- Computational Intelligence.
- Electrical and Electronic Engineering.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (1531 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book presents recent advances on connected objects, systems, telecommunications, artificial intelligence, and electronic engineering. On the connected objects side, the proceedings covered advancements in areas like sensor miniaturization and networking to enable ever-more ubiquitous and autonomous IoT deployments. The AI-focused contributions explored novel machine learning architectures and training techniques tailored for resource-constrained edge devices. Key breakthroughs included federated learning models. In the telecommunications realm, the proceedings examined the critical role of 5G, 6G, and satellite communications in providing the high-bandwidth, low-latency connectivity required to unlock the full potential of AI-powered connected systems. This book is a collection of high-quality research papers presented at the 3rd International Conference on Connected Objects and Artificial Intelligence (COCIA'2025), held at High School of Technology, Hassan II University, Casablanca, Morocco, during April 16–18, 2025. This book features cutting-edge research and insights at the intersection of the important technology domains, connected objects, systems, telecommunications, artificial intelligence, and electronic engineering. It is designed for researchers, academicians, professionals, and graduates seeking to deepen their understanding and expertise at the intersection of IoT, AI, telecommunications, and electronic engineering. .
- Contents:
- Modeling Indoor Temperature Changes in Low Energy Buildings Based on Outdoor Temperature and Electric Heater Consumption
- An Investigative Comparison of an Ensemble Model and Selected Machine Learning Algorithms for Breast Cancer Prediction
- Brain Tumor Classification Using MRI Images Deep Learning and Quantum Approaches
- Comparison of Feature Extraction Methods for Power line Insulator Defect Detection
- AI Driven System for Detecting High-Risk Traffic Violations Using YOLOv5m and CNN
- Comparative study of impedance matching Techniques in UHF RFID Systems
- Generative Artificial Intelligence A Revolution in Organizational Strategies and Its Applications in a Competitive Environment
- Design and Analysis of an Optimized Vivaldi Antenna for Medical Imaging and Broadband Wireless Applications
- Partial Implementation of AI Driven Solution Architecture in Oncology
- Advancements in Cross Technology Coexistence A Critical Review of SledZig for ZigBee and WiFi Interference Mitigation
- Dynamic Context Aware Action Recommendation via Enhanced Hybrid Sequential Modeling
- Accurate method for identifying the dual polarization model parameters of a lithium-ion battery cell
- Towards Harnessing Learning Management Systems for Personalized Assessments in Primary Education
- Comparative Study of Bibliometric Analyses on AI in Cybersecurity Risk Management
- A comparative study of loss recovery mechanisms within HTTP and MQTT for QoS and scalability in IoT using the OneM2M Standard
- IoT-Based Temperature Monitoring for Optimizing Process Efficiency
- Desalination based on renewable energy a bibliometric analysis.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-01536-7
- 9783032015365
- OCLC:
- 1547929987
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