Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi

有花

Blockchain-Driven Framework for Fake Product Detection immutability, etc., and also verifies transactional information without relying on centralized third-party systems. One of the most significant drawbacks of the online retail industry is that they showcase fake products in the market. It seems that the product is authentic, but in reality, it is a

aggrieve

冒失

extinguish

朦朧

游行

Maritime Human Drowning Detection Using Intelligent Deep Learning Algorithmng, terrorism, malicious activity detection, etc. The marine environment is complex and changeable. The term "Maritime search and rescue" refers to actions taken to find, save any individual in the sea who gets lost, hurt, or killed outside, or as a result of a disaster caused by nature, technology,

平淡而無(wú)味

dandruff

討好女人

Leaf Disease Detection Using Deep Learning Approach to detect leaf disease. The proposed model involved four steps to determine the type of disease, which were preprocessing, feature extraction, CNN layer design, and classification, and thus, the proposed model detected the disease with reasonable accuracy. The dataset concerned more than thousands

PUT

Robust Traffic Sign Recognition Using CNN YOLOv5 Modelvers a wealth of useful information about the road. Throughout the past few decades, traffic sign detection has received significant research interest. This kind of mechanism is crucial to the advancement of driverless vehicles. It’s been a challenging task for self-driving cars to understand variou