Titlebook: Intelligent Systems in Computing and Communication; First International Shreekumar T.,Dinesha L.,Sreeja Rajesh Conference proceedings 2025

Hangar

A Novel Approach for Skin Infections Classification Using Transfer Learning computer-assisted diagnostic support system to help detect these at an early stage so that the patient’s life can be saved. The research in these areas is essential for the development of effective treatments, prevention strategies, and improved patient outcomes in the field of skin infections. In

Mindfulness

营养

Towards Hands-Free Computing: AI Virtual Mouse Interface Powered by Gesturesaries like OpenCV, MediaPipe, and PyAutoGUI, the system tracks and interprets hand gestures in real-time, enabling intuitive control of computers. Users can effortlessly manipulate cursor movement, perform clicks, scroll content, and adjust settings like volume and brightness through natural hand mo

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SmartAgro: Precision Yield Prediction, Crop Insights, and Real-Time DashboardDespite this achievement, India‘s crop yields per hectare remain notably low, resulting in challenges for farmers and financial losses. To address this issue, our research project proposes a comprehensive set of tools to empower Indian farmers with informed decision-making in crop production. The pr

Resection

Artificial Intelligence with MRI-Guided Radiation Therapy for Cancer Treatmentvelopments in offline and online MRI-guided RT are described in this paper, along with the exciting prospects they present for advancing research and clinical care, the challenges they present, and the necessity for interdisciplinary collaboration to address those challenges. One of the cornerstones

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Software Requirements to UML Class Diagrams Using Machine Learning and Rule-Based Approachare engineering. This study provides a novel technique for automatically transforming textual software requirements into UML class diagrams using a model-driven engineering methodology. The main goal is to automate converting textual requirements into a visual representation that can be easily under

有机体

Cholagogue

A Deep Learning Survey on Diseases Prediction and Detection in Health Career scientists have proposed and created an extensive variety of AI procedures for the identification and diagnosis of illnesses like cancer, lung conditions, rheumatoid arthritis, diabetic retinopathy, heart conditions, Alzheimer‘s disease, hepatitis, dengue, liver disease, and Parkinson‘s disease.

进取心

Fault Diagnosis in Belts Using Signal Processing Techniques and Machine Learningowntime and hence reduce productivity and ultimately the profit. Proper maintenance of systems is very crucial to ensure trouble free operation of machines. Predictive Maintenance techniques are those techniques which are used for identification of fault in its early stage. This avoids the sudden un

ANTE

Machine Learning Techniques Based Chronic Kidney Disease Detection with Performance Analysis of Fuzznd health problems as well as a high probability of progressing to end-stage kidney disease. It is quickly developing into a global health emergency. This disease is largely caused by unhealthy eating habits and a lack of water consumption. The average lifespan of a person without kidney function is