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Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification
This paper presents a lightweight and accurate convolution neural network (CNN) based on encoder in vision transformer structure, which uses...
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Convolutional neural network (CNN) and federated learning-based privacy preserving approach for skin disease classification
This research displays inspect a study on the classification of human skin diseases using medical imaging, with a focus on data privacy preservation....
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SDESA: secure cloud computing with gradient deep belief network and congruential advanced encryption
With the aim to enhance cloud security with higher data confidentiality rate and integrity, we propose a novel technique called Stochastic Deep...
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Expecting politeness: perceptions of voice assistant politeness
We examined how politeness perception can change when used by a human or voice assistant in different contexts. We conducted two norming studies and...
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Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
Is it possible to integrate a humanoid social robot into the work processes or customer care in an official environment, e.g. in municipal offices?...
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A nonlinear optimal control approach for 3-DOF four-cable driven parallel robots
In this article, a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots (CDPR). To solve...
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Parameterized complexity of candidate nomination for elections based on positional scoring rules
Consider elections where the set of candidates is partitioned into parties, and each party must nominate exactly one candidate. The P ossible P resident ...
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Enhancing Oyente: four new vulnerability detections for improved smart contract security analysis
Enhancing the security analysis of smart contracts, particularly in Ethereum, by extending the widely used Oyente tool is the main objective of this...
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Iteration-Free quantum approximate optimization algorithm using neural networks
The quantum approximate optimization algorithm (QAOA) is a leading iterative variational quantum algorithm for heuristically solving combinatorial...
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Artistic style decomposition for texture and shape editing
While methods for generative image synthesis and example-based stylization produce impressive results, their black-box style representation...
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A novel solution for the development of a sentimental analysis chatbot integrating ChatGPT
In today’s business landscape, Chatbots play a pivotal role in innovation and process optimization. In this paper, we introduced a novel advanced...
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Federated learning-guided intrusion detection and neural key exchange for safeguarding patient data on the internet of medical things
To improve the security of the Internet of Medical Things (IoMT) in healthcare, this paper offers a Federated Learning (FL)-guided Intrusion...
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On modular (CRT-based) secret sharing
Secret sharing scheme (SSS) allows to share some secret s among n parties in such a way that only certain subsets of them can recover the secret. The...
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Strategic view on the current role of AI in advancing environmental sustainability: a SWOT analysis
Sustainability has become a critical global concern, focusing on key environmental goals such as achieving net-zero emissions by 2050, reducing...
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An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network
Social Spider Optimization (SSO) is a swarm algorithm, based on the mating and cooperating behaviour of social spiders. This approach is basically...
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LERFNet: an enlarged effective receptive field backbone network for enhancing visual drone detection
Recently, the world has witnessed a great increase in drone applications and missions. Drones must be detected quickly, effectively, and precisely...
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Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb...
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Graph neural networks for text classification: a survey
Text Classification is the most essential and fundamental problem in Natural Language Processing. While numerous recent text classification models...
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DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification
Existing unsupervised person re-identification (Re-ID) methods use clustering to generate pseudo-labels that are generally noisy, and initializing...
