The robustness and consistency of cryptographic keys are essential components that determine the security for cryptographic systems. This study provides a thorough analysis of important authentication strategies and h...
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This research initiative addresses the task of enhancing Chat Generative Pre-trained Transformer's (ChatGPT's) conversational capabilities by integrating the comprehension and response to user emotions conveye...
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Sentiment analysis (SA) is the process of computationally recognizing and classifying the opinions conveyed within a piece of text or some other forms of information. This paper underscores the significance of sentime...
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Facial expression recognition is becoming a core part of human-computer interaction and emotion detecting systems. However, the real-time scenarios such as the widespread use of face masks presents a big challenge to ...
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The main aim of this work is to develop an Online Discussion platform for users. The platforms will become more mature while having more users. In the paper, a sophisticated strategy is suggested to tackle a critical ...
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One of the quintessential examples in ophthalmology is the early detection of glaucoma, a disease that accounts for significant irrecoverable vision loss when caught later. Conventional diagnostic methods are based on...
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Developing effective strategies to address significant variations in segmented iris image quality is crucial for accurate iris recognition from remotely acquired facial or eye images. These variations are closely link...
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Crop pest damage accrues to fifty per cent loss in yield which leads to severe monetary losses and an overall rise in farming costs. Understanding the complex processes by which the host plants acquire resistance to i...
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The objective of the paper is to propose an approach for a real-time accurate Automatic Number Plate Recognition(ANPR) system, which recognizes vehicle license plates. The system is based on a common vision concept th...
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ISBN:
(数字)9798331537555
ISBN:
(纸本)9798331537562
The objective of the paper is to propose an approach for a real-time accurate Automatic Number Plate Recognition(ANPR) system, which recognizes vehicle license plates. The system is based on a common vision concept that combines Optical character recognition (OCR) and YOLOv9 deep learning algorithm. Intended to overcome challenges including poor light, partial obstruction, and different angles for high-speed vehicle plate recognition over multiple regions. This means that not only is the architecture future-friendly for license plate designs, but it will also work with existing infrastructure so this can be deployed in traffic management, law enforcement, and security use cases.
Traditional farming practices often faces challenges from unpredictable soil conditions and weather patterns, resulting in suboptimal yields and wasted resources. This project aims to develop a Smart Agriculture syste...
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