In recent days, machine learning (ML) systems have become integral to nearly all mainstream applications. Understanding the underlying logic that contributes to the desired behavior in ML systems can be challenging. H...
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While the performance of denoising and deblurring has continued to improve, there is a lack of prior research on methods that address both simultaneously. Therefore, this paper employs a model known as NAFNet, which h...
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The complexity of contemporary communication further emphasizes the need to automate monotonous work to increase efficiency and effectiveness. This paper introduces a new advance, voice-controlled Automail AI, in the ...
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DDoS attacks pose a significant threat to the security and stability of blockchain networks. Low generalization, high misreporting rates, and ineffective detection capabilities are just a few of the flaws in the detec...
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Interacting with AI systems solely through textual prompts often encounters limitations due to the challenges of expressing complex visual ideas in text. This paper introduces an advanced AI system that interprets and...
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Collecting a large amount of real noise images is difficult, and effective learning must occur from a small amount of datasets. In this study, we use DRUNet, a noise eliminator. By following an effective learning proc...
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In response to the growing global emphasis on healthy living and environmental consciousness, the popularity of eco-friendly transportation options like bicycles has surged. However, cyclist safety remains a critical ...
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Counterfeiting is a continuous and global issue that afflicts sectors, undermines consumer trust, and causes economic harm. To effectively fight this issue, the Anti-Counterfeit Product Identification System Using Blo...
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Pediatric appendicitis, an acute inflammatory disease, arises from the obstruction of the appendix, often due to inflammation or a fecalith. This common abdominal emergency in children presents diagnostic challenges d...
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Reliable deepfake detection of falsified videos generated by deep learning is still a pressing challenge with its growing popularity. Deep adversarial neural networks, which educate on film and target faces to ahead f...
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