Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated *** this paper, we emphasize another crucial quality that it should possess, i.e...
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The rating & review of an app in the App Store or Play Store plays an essential role for end users to get information about the app based on other people's experiences with that app. The reviews might be conte...
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The advancement of automated essay scoring (AES) mechanisms in the English proficiency evaluation through the standardized English proficiency tests like the International English Language Testing System (IELTS) is a ...
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Weather forecasting plays a vital role in numerous sectors, but accurately capturing the complex dynamics of weather systems remains a challenge for traditional statistical models. Apart from Auto Regressive time fore...
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Spatial-temporal data contains rich information and has been widely studied recently due to the rapid development of relevant applications. For instance, medical institutions often use electrodes attached to different...
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The demand for rapid and precise plant disease diagnostics has increased with interest in environmentally friendly farming techniques. Deep learning algorithms are employed in image analysis has shown significant prom...
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Machine learning has experienced remarkable growth in recent years, largely propelled by advances in deep learning methodologies. This paper offers an in-depth exploration of the integration of deep learning into mach...
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ISBN:
(纸本)9798350370249
Machine learning has experienced remarkable growth in recent years, largely propelled by advances in deep learning methodologies. This paper offers an in-depth exploration of the integration of deep learning into machine learning tasks across various fields, including the critical domain of malware analysis. Deep learning, a specialized branch of machine learning, leverages neural networks with multiple layers to automatically extract data representations and features. A pressing concern today is the threat posed by malicious software, which often employs methods such as generating invalid links that direct users to compromised sites or launching Denial of Service (DDoS) attacks. These cyber attacks aim to steal personal and sensitive data using techniques such as 0-day exploits to facilitate rapid replication. Malware analysis is the study of various malware types, including viruses, worms, Trojans, and rootkits, to assess the potential impact of an infection. The paper delves into key deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs), and their specific roles in malware analysis. This involves both static and dynamic analysis methods, essential for understanding malware behavior and mitigating its effects. Moreover, the paper discusses the challenges associated with deep learning, such as overfitting, data availability, interpretability, and computational demands, as well as potential solutions to address these issues. Emerging trends and innovations in deep learning, including self-supervised and federated learning, are highlighted, with a focus on their impact on the future of machine learning and cybersecurity. By examining the intersection of machine learning, deep learning, and malware analysis, this paper aims to showcase the transformative potential they offer across different industries and scientific disciplines. Through these insights, th
The last decade has seen a massive adoption of FPGA devices in various fields like electronics, robotics, machine vision, etc. Over-the-Air (OTA) updates are becoming an important feature for internet-connected intell...
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This research introduces DeepFakeGuard, a hybrid deep learning framework designed to detect fake profiles on social media platforms, addressing the growing threat of fraudulent accounts online. DeepFakeGuard integrate...
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We study exact algorithms for Metric TSP in d. In the early 1990s, algorithms with (Formula Presented) running time were presented for the planar case, and some years later an algorithm with (Formula Presnted) running...
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