Titlebook: Soft Computing and Signal Processing; Proceedings of 6th I Hushairi Zen,Naga M. Dasari,S. Srinivasa Rao Conference proceedings 2024 The Edi

莊嚴

NADIR

IoT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology,es, and accessories. The wear gadgets like smart rings, smartwatches, and smart spectacles are associated with human healthcare monitoring, actual period location discovery and portable online games, etc. This paper presents a survey of the recent usage of wearable devices and sensors with VLSI tech

infringe

Plant Disease Detection and Classification Using Artificial Intelligence Approach, development. Early detection of plant diseases is crucial because they have an impact on the growth of the affected species. However, plant diseases have become more prevalent recently for a number of natural and artificial reasons. Globalization, trade, and climate change have all had an impact, a

含鐵

手勢

Optimal Crop Recommendation by Soil Extraction and Classification Techniques Using Machine Learning of soils and recommendations of soils. To recommend a soil deep study is required based on many parameters. Machine learning is the concept which can be applied in wide applications. Measuring the characteristics of soil can be done through machine learning. Many algorithms are available in the mac

擺動

IoT-Based Smart Irrigation System in Aquaponics Using Ensemble Machine Learning, paper, an irrigation system based on aquaponics is proposed, which uses real-time sensor data from the fish tank and crop soil to improve the efficiency of the system. The system is designed to make informed decisions about crop irrigation needs by visualizing the data for analytics. The study comp

豐滿中國

Orchiectomy

Prediction of Breast Cancer Using Feature Extraction-Based Methods,l in differentiating between numerous classes. It becomes essential to extract useful features from existing data or improve them using augmentation techniques to avoid the requirement for more real data. Machine learning (ML) models use artificial intelligence (AI) and ML to make life easier for pa

到婚嫁年齡

Incisor

Facial Emotion Recognition Using Chatbot and Raspberry Pi,low will all be used in the project’s implementation. In order to predict emotion, the training dataset is compared to the scanned image (testing dataset). The major goal is to develop more effective and dependable chatbots and to deliver improved user feedback with the intention of responding in line with the user’s emotions.