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Better electrobiological markers and a improved automated diagnostic classifier for schizophrenia—based on a new EEG effective information estimation framework
Advances in AI techniques have fueled research on using EEG data for psychiatric disorder diagnosis. Despite EEG’s cost-effectiveness and high...
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A review of digital twins and their application in cybersecurity based on artificial intelligence
The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’...
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Enhanced speech emotion recognition using averaged valence arousal dominance map** and deep neural networks
This study delves into advancements in speech emotion recognition (SER) by establishing a novel approach for emotion map** and prediction using the...
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Disturbance event triggered-model predictive tracking control for 4WIS–4WID mobile robot
Wheel-ground interactions during operation cause the robot to deviate from the reference trajectory, affecting the stability and safety of the robot....
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Explainable decomposition of nested dense subgraphs
Discovering dense regions in a graph is a popular tool for analyzing graphs. While useful, analyzing such decompositions may be difficult without...
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Federated learning for digital healthcare: concepts, applications, frameworks, and challenges
Various hospitals have adopted digital technologies in the healthcare sector for various healthcare-related applications. Due to the effect of the...
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Prediction of blast-hole utilization rate using structured nonlinear support vector machine combined with optimization algorithms
Blasting is the primary method for ultra-deep roadway engineering, which is facing the challenge of low footage caused by unsatisfactory blasting...
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Data reduction in big data: a survey of methods, challenges and future directions
Data reduction plays a pivotal role in managing and analyzing big data, which is characterized by its volume, velocity, variety, veracity, value,...
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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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Understanding the GDPR from a requirements engineering perspective—a systematic map** study on regulatory data protection requirements
Data protection compliance is critical from a requirements engineering (RE) perspective, both from a software development lifecycle (SDLC)...
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Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
We address a general optimization problem involving the minimization of a composite objective functional defined over a class of probability...
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Evaluative Item-Contrastive Explanations in Rankings
The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and industry. Within the...
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A human-in-the-loop method for pulmonary nodule detection in CT scans
Automated pulmonary nodule detection using computed tomography scans is vital in the early diagnosis of lung cancer. Although extensive...
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Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons
Spiking neural networks (SNNs) which use spiking neurons as a component, have shown substantial promise in simulating biological neuron mechanisms...
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Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
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An Efficient Approach to Reduce Energy Consumption in a Fog Computing Environment Using a Moth Flame Optimization Algorithm
After decades of growth in the computer computing field, cyber-physical systems (CPS), a combination of physical and tangible hardware and virtual...
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Analyzing Data Streams from Cyber-Physical-Systems: A Case Study
We show that conducting a process-mining-centric analysis concerning cyber-physical systems provides insights into usage behavior. To show that, we...
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Why the use of domain-specific modeling in airworthy software requires new methods and how these might look like? (extended version)
The use of domain-specific modeling (DSM) in safety-critical avionics is rare, even though the ever-increasing complexity of avionics systems makes...
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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...
