Proceedings of the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech’25) / edited by Mostapha Zbakh, Mohammed Essaaidi, Claude Tadonki, Abdellah Touhafi, Dhabaleswar K. Panda.

Format:

Book

Author/Creator:

Zbakh, Mostapha.

Contributor:

Zbakh

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1941

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (750 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology and Artificial Intelligence. Cloud computing can be seen as any subscription-based on pay-per-use service that extends the Internet’s existing capabilities and has gained more considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. For its part, artificial intelligence has gained a serious popularity and is considered in a broad range of applications. Cutting-edge AI, which typically involving large models and huge volume of training datasets, cannot be considered without the support of cloud infrastructure and techniques. Cloud computing is the most affordable way to meet AI's power requirements in terms of data storage and computation. It essentially shows how the cloud can be used to support AI in order to achieve consistent results. Gathering papers presented at the 7th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'25), this book offers a valuable resource for all Information System Managers, researchers, Ph.D. students, developers, end users and policy makers involved in the field of technological and application aspects of cloud and AI.

Contents:

Influencing Energy Consumption Behaviors in Smart Cities Through an IoB Framework

Adversarial Robustness in Deep Learning-Based Pneumonia Detection from Chest X-Rays

AI-Driven Solutions in Cybersecurity and the Rise of Biometric Authentication

A Multi-Model Approach for Image Restoration: Combining SRCNN, Pix2Pix GAN, and SwinIR for Enhanced Face and Object Restoration

Modeling Emotional Transitions Using HMM for Arabic Multi-Label Sentiment Analysis

Enhancing LLM Responses through Emotion-Aware Prompt Engineering

Sentiment Analysis in Moroccan Darija: Comparative Evaluation of Transformer Models for a Large-Scale Multi-Domain Dataset

Co-Design and Deployment of Real-Time YOLO Tiny v3 Object Detection on a Heterogeneous FPGA Platform: A Case Study on Zynq-7000 SoC

Artificial intelligence for stock recommendation in the Moroccan market: advantages and challenges

A comprehensive survey on System-on-Chip security risks and mitigation techniques

Prediction of Air temperature, Soil moisture and Relative Humidity using Ensemble Machine Learning models in Agriculture

A Survey of Energy Efficiency for Sustainable Kubernetes Operations

Contextual Embedding Techniques for Malware Analysis: A Comparative Study based of Machine Learning Approaches

Secure Standard-Based Approach to Cloud Interoperability in E-Government.

Notes:

Print version record.

ISBN:

9783032238443

OCLC:

1610749993