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.

Addresses new challenges and topics related to Artificial Intelligence and High Performance Computing in/with the Cloud Gathers the best papers presented in the 7th International Conference on Cloud Computing and Artificial Intelligence Provides recent research on AI and High Performance Computing on the Cloud Computing Technologies

Inhalt

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.