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A black-box attack on fixed-unitary quantum encryption schemes
We show how fixed-unitary quantum encryption schemes can be attacked in a black-box setting. We use an efficient technique to invert a unitary...
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Reducing noise using neighbourhood pixel analysis and interpretable custom kernel in CNN model for CP handwritten digit recognition
Individuals with Cerebral Palsy (CP) are impacted lifetime barriers in their everyday activities, especially in writing phrase, which results from...
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Automatic lung cancer detection and classification using Modified Golf Optimization with densenet classifier
One of the most common diseases in recent years has been lung cancer. In the US, around 200,000 new instances are reported annually, based on studies...
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Motivation of persons with cerebral palsy through participatory design: where there is a will, there is a way
Researchers and practitioners have been seeking the active participation of persons with disabilities (PwD) in participatory design (PD) to assign a...
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Visual-based vehicle detection with adaptive oversampling
In this study, the class imbalance issue in vehicle detection was addressed. Specifically, certain classes such as Tow Truck were found to have...
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Randomnet: clustering time series using untrained deep neural networks
Neural networks are widely used in machine learning and data mining. Typically, these networks need to be trained, implying the adjustment of weights...
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Optimized principal vectors-based co-kurtosis pca and recurrent attention unit-based Classifier for optimal cardiac disease prediction in big data
There is an enormous amount of data due to the latest advancements in contemporary data collection methods, instruments, and storage capacities. The...
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Smart electronic governance in international trade using blockchain and Naïve Bayes’ based text classification to prevent import duty frauds
Exports and imports are the major activity of any country. At the time of bills of exports/ imports document filing, the importers/ exporters declare...
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Heterogeneous hypergraph learning for literature retrieval based on citation intents
Literature retrieval helps scientists find previous work that is relative to their own research or even get new research ideas. However, the...
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A citation analysis examining geographical specificity in article titles
This investigation explores the impact of geographical names within article titles on citation frequency across a corpus of literature within the...
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ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
Accurate shared micromobility demand predictions are essential for transportation planning and management. Although deep learning methods provide...
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Design of an academic document forgery detection system
Advances in digital technology and communication are reducing the popularity of physical or paper-based documents, particularly in the official...
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OntoBlock: a novel ontological-based and blockchain enabled spectrum sensing framework for detection of malicious users in cognitive radio internet of things (CR-IoT) networks
CR-IoT networks can benefit from the idea of blockchain technology to achieve accurate decisions in order to provide very high-accuracy spectrum...
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Addressing the data gap: building a parallel corpus for Kashmiri language
This paper marks a significant step forward in language technology for low-resource languages by develo** the first parallel corpus for the...
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Series2vec: similarity-based self-supervised representation learning for time series classification
We argue that time series analysis is fundamentally different in nature to either vision or natural language processing with respect to the forms of...
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Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval
Investigating the intricate relationship between citation similarity and the citation interval offers vital insights for refining citation...
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Gender assignment in doctoral theses: revisiting Teseo with a method based on cultural consensus theory
This study critically evaluates gender assignment methods within academic contexts, employing a comparative analysis of diverse techniques, including...
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Collaboration at the phylum level: coauthorship and acknowledgment patterns in the world of the water bears (phylum Tardigrada)
Coauthor and acknowledgment data were captured for 1384 research articles published between 1980 and June, 2023 that focused on tardigrades. Articles...
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Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI
Peer review is a critical process used in academia to assess the quality and validity of research articles. Top-tier conferences in the field of...
