Abstract: The increasing use of artificial intelligence-generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision ...
Abstract: Agriculture is a crucial sector that supports the global economy. With the increase of demands in agriculture, technology that supports this field keep on advancing. This research paper ...
Abstract: Conventional manual, semi automated and timed traffic control systems are being replaced by more effective technology based systems. A low cost, real time, automated system is necessary for ...
Abstract: This article introduces a real-time sign language-to-text translator using Convolutional Neural Networks (CNNs) to overcome communication obstacles for the deaf and hearing-impaired ...
Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
Abstract: Agriculture serves as a cornerstone for economic development, particularly in countries like Bangladesh, where it contributes significantly to GDP and rural employment. However, plant ...
Abstract: Timely detection of construction changes on islands is crucial for environmental conservation, resource management, and sustainable development. Current methodologies typically employ ...
Abstract: With the rapid proliferation of social media and online communication platforms, the presence of gender-based abusive language has emerged as a significant issue in the digital sphere.
Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...
Abstract: The demand for remote biometric technologies to monitor drowsiness levels is expected to increase in the future of autonomous driving. Facial skin is constantly exposed to the outside world ...
Abstract: This research develops a deep learning system for identifying tomato leaf diseases by combining multiple image processing techniques with advanced neural networks. The approach takes input ...
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