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Sublinear Algorithms in T-Interval Dynamic Networks
We consider standard T - interval dynamic networks , under the synchronous timing model and the broadcast CONGEST model. In a T - interval dynamic network ,...
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Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model
Laryngeal cancer (LC) represents a substantial world health problem, with diminished survival rates attributed to late-stage diagnoses. Correct...
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Secure electronic monitoring of sex offenders
Electronic monitoring is a viable approach to controlling sex offenders and making the environment safe for victims. Two technologies are currently...
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An efficient approach of epilepsy seizure alert system using IoT and machine learning
Epilepsy is a neurological disorder that affects millions of people worldwide, and it is characterized by recurrent seizures that can vary in...
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A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus
The flicker stimulus is a visual stimulus of intermittent illumination. A flicker stimulus can appear flickering or steady to a human subject,...
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Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach
Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and...
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
Nowadays, cervical cancer is a leading cause of death among women. Determining the gene signature is one of the major issues in bioinformatics....
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The NP-hard problem of computing the maximal sample variance over interval data is solvable in almost linear time with a high probability
We consider the algorithm by Ferson et al. (Reliab Comput 11(3):207--233, 2005) designed for solving the NP-hard problem of computing the maximal...
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Stagnation Detection in Highly Multimodal Fitness Landscapes
Stagnation detection has been proposed as a mechanism for randomized search heuristics to escape from local optima by automatically increasing the...
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Network pharmacology and experimental validation to explore the anti-aging mechanism of action of betulinic acid
This subject aims to investigate the potential targets and mechanism of action of betulinic acid in anti-aging through network pharmacology,...
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Multi-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been...
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A survey: contribution of ML & DL to the detection & prevention of botnet attacks
Machine Learning (ML) and Deep Learning (DL) are transforming the detection and prevention of botnets, significant threats in cybersecurity. In this...
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Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application
AbstractMost process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result,...
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Medical image super-resolution via transformer-based hierarchical encoder–decoder network
Medical image super-resolution (SR) has emerged as an effective means to enhance the resolution of medical images. Nevertheless, many existing...
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A formal model-based approach to design failure-aware Internet of Things architectures
The Internet of Things (IoT) is expanding its application domains and deployments due to its rapid development. Within such architectures, ensuring...
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Parameterized Complexity of Streaming Diameter and Connectivity Problems
We initiate the investigation of the parameterized complexity of Diameter and Connectivity in the streaming paradigm. On the positive end, we show...
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Approximation Algorithms for the Two-Watchman Route in a Simple Polygon
The two-watchman route problem is that of computing a pair of closed tours in an environment so that the two tours together see the whole environment...
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Graph-Enhanced Prompt Learning for Personalized Review Generation
Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition...
