This paper uses deep learning algorithms including InceptionV2, InceptionV3, DenseNet, MobileNet, and VGG19 to improve skin cancer detection. This research aims to improve skin cancer diagnosis. This work aims to dete...
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Convolutional Neural Networks (CNNs) are a breakthrough paradigm shift in medical imaging and diagnostic approaches that can be used to detect pneumonia. CNNs have shown to be incredibly effective at automatically ext...
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The way we learn new skills is constantly evolving, which is partly caused by the technology in our hands. Shift towards on-demand learning like "learn when I need it", "learn when I can", "le...
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作者：
Bobade, VeerPuri, ChetanDMIHER
Faculty of Engineering And Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha India DMIHER
Faculty of Engineering And Technology Department of Computer Science and Engineering Maharashtra Wardha India
Enhancing software quality and reducing testing expenses requires better software fault detection. To guarantee the dependability and usability of software, Software Defect Prediction (SDP) uses machine learning appro...
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With the explosion of generative AI, rapid innovation in educational technology can lead to extraordinary advances for teaching and learning-as well AI tools that are ineffective or even harmful to learning. AI should...
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To scientifically evaluate the effectiveness of blended teaching, an evaluation index system was constructed using mathematical and statistical methods. The system systematically analyzed the coverage of teaching cont...
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Blind people need some aid to feel safe while moving. Vision Assist is a smartphone app for visually impaired individuals, using deep learning for intelligent assistance. It enhances accessibility by understanding rea...
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In modern cloud computing environments, accurate prediction of resource demand is critical to optimize resource allocation and reduce costs. Existing methods are often inadequate in dealing with variable workloads. In...
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It is seen that there is a rapid increase in Internet of Things (IoT) devices, and fog computing has emerged as an efficient and viable solution to reduce latency by performing computations closer to the edge. However...
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Using the YOLO v8 model and deep learning approaches, this study explores the field of e-waste management and provides effective item detection. Our research attempts to increase the accuracy and scalability of e-wast...
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