Hate speech detection is crucial for secure online environments, especially with recent policy changes on social media. This study enhances the Llama 2 model by fine-tuning it with a comprehensive Twitter dataset to i...
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Eye health has become a global health concern and attracted broad *** the years,researchers have proposed many state-of-the-art convolutional neural networks(CNNs)to assist ophthalmologists in diagnosing ocular diseas...
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Eye health has become a global health concern and attracted broad *** the years,researchers have proposed many state-of-the-art convolutional neural networks(CNNs)to assist ophthalmologists in diagnosing ocular diseases efficiently and ***,most existing methods were dedicated to constructing sophisticated CNNs,inevitably ignoring the trade-off between performance and model *** alleviate this paradox,this paper proposes a lightweight yet efficient network architecture,mixeddecomposed convolutional network(MDNet),to recognise ocular *** MDNet,we introduce a novel mixed-decomposed depthwise convolution method,which takes advantage of depthwise convolution and depthwise dilated convolution operations to capture low-resolution and high-resolution patterns by using fewer computations and fewer *** conduct extensive experiments on the clinical anterior segment optical coherence tomography(AS-OCT),LAG,University of California San Diego,and CIFAR-100 *** results show our MDNet achieves a better trade-off between the performance and model complexity than efficient CNNs including MobileNets and ***,our MDNet outperforms MobileNets by 2.5%of accuracy by using 22%fewer parameters and 30%fewer computations on the AS-OCT dataset.
Intrusion Detection Systems (IDS) is frequently automated using expert systems and applied machine learning methods. Because of the interplay between different industrial control systems and the Internet environment t...
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One of the major weaknesses of Neural Networks is their inability to learn multiple functions (tasks) sequentially. This phenomenon is observed when a data distribution shift is encountered in continual learning, lead...
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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with an annual global economic impact of approximately $1 trillion. Early diagnosis is crucial to mitigate disease progression, yet current detecti...
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For effective city planning and traffic control, it is now crucial to develop some effective monitoring systems for vehicle traffic in order to address this quickly growing tendency within a city. As a result, the Tra...
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Detection of overlapping communities is a challenging problem that has drawn a lot of research interest. This is motivated by the fact that in real-world networks, individuals frequently join multiple groups subsequen...
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The rapid development of industrialization and urbanization has made the environmental pollution problem in remote areas more prominent. However, this problem is often overlooked. This study attempted to construct an ...
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The lack of captions available for live video events on online platforms makes them inaccessible to the speech and hearing deprived communities. In this study, we examine two models: the pre-trained You Only Look Once...
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Network Intrusion Detection Systems (NIDS) play a critical role in safeguarding computer networks against malicious activities and cyber threats. To improve the accuracy and robustness of NIDS, this research explores ...
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