This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book...

Today cancer is spreading heavily and become the most dangerous disease in the world. This disease causes death if not diagnoses before the major stage. Small changes or illness in the human body may transform to the cancer in the body. The main thing in this disease is that it is not easily detected in its earlier stage. So this causes the aim to design a computer operated system that can make distinguish between benign (non-cancerous) and malignant (cancerous) mammogram. The proposed system helps doctors to increase the diagnosis accuracy. The above propose system shall be simulated by...

AI Imaginator: SaaS for Smart Image Generation explores the integration of advanced AI-driven generative models into a cloud-based platform designed to convert text prompts into vivid, high-quality images. This book presents a comprehensive overview of the development and deployment of a Software-as-a-Service (SaaS) solution built around the powerful "stabilityai/stable-diffusion-2-1" model hosted on Hugging Face. Covering both technical and architectural aspects, it details how deep learning frameworks such as Diffusers, Transformers, and Torch are used in a GPU-accelerated backend pipeline....