Titlebook: Advances in Distributed Computing and Machine Learning; Proceedings of ICADC Umakanta Nanda,Asis Kumar Tripathy,Kuan-Ching Li Conference pr

保守党

Valluvan: Processing Name Board Images to Enhance Communication for Native Tamil Speakers,t to enhance communication and access to information. The app utilizes advanced technology to analyze images and text on name boards, transforming it into readable text for machines using sophisticated algorithms, the text is then translated to Tamil. The Valluvan app utilizes text-to-speech convers

朦胧

Comparative Evaluation of Wavelet Transform Methods for Surface Roughness in Turning of Monel 400 Sdata. This research article presents a comparative evaluation of wavelet transform methods for surface roughness evaluation in the turning of Monel 400 alloy. The purpose of the study was to identify the most precise technique among the various wavelet transform methods. Surface roughness data were

PLAYS

CANON

Eviction

Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network,surrounding environment. Sensors can be deployed in two type either in a static way or in mobile way. This work have presented a optimized routing strategy by using shortest job first techniques. In this model the computation time has been used to schedule the sleep and wake up phase of sensor nodes

Charade

AVID

osteoclasts

Revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance CrConversely, deep learning (DL) can handle vast amounts of data, making them suitable for annotating large datasets quickly and efficiently enabling the model to learn and extract high-quality features. One of the most substantial obstructions in machine learning today is the integration of human-ann

Ballerina

Resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification,g need to improve classification accuracy. The existing approaches like VGG16, AlexNet, and ResNet50 have been widely used for this task. A novel strategy is put forth to tackle this problem that combines the ResNet50 architecture‘s strength with a channel attention mechanism (CAM). By carefully emp

嘴唇可修剪