Federated Learning (FL) is a promising approach for training machine learning models in a decentralized manner to preserve data privacy. However, FL is vulnerable to various attacks, including label-flipping attacks w...
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This paper presents the 'Workplace Wingman,' an innovative autonomous system designed for workplace environments. Our solution integrates advanced features to optimize indoor operations. The system navigates c...
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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.
The "Automated DSM Insight Analyzer" is a groundbreaking initiative that revolutionizes the analysis of Daily Stand-Up Meetings (DSMs). Leveraging a sophisticated combination of cutting-edge technologies, in...
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In this work, we study the parallel complexity of the geometric minimum-weight bipartite perfect matching (GWBPM) problem in 2. Here our graph is the complete bipartite graph G on two sets of points A and B in 2 (|A| ...
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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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Billions of networked devices interact and collaborate with one another via the Internet as part of the Internet of Things (IoT). The performance and energy efficiency of IoT environments are greatly enhanced by effec...
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Hausdorff Φ-dimension is a notion of Hausdorff dimension developed using a restricted class of coverings of a set. We introduce a constructive analogue of Φ-dimension using the notion of constructive Φ-s-supergales...
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Reversible data hiding (RDH) has become a critical topic in modern information security, as it allows for secure communication by embedding secret data into a cover medium. Importantly, RDH also ensures that the hidde...
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