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162 Result(s)
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Article
Open AccessSPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Smart healthcare systems promise significant benefits for fast and accurate medical decisions. However, working with personal health data presents new privacy issues and constraints that must be solved from a ...
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Open AccessExplainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep architectures, are considered successful tools due to their abilities...
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Open AccessGenerative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Industrial Cyber-Physical Systems (ICPSs) are becoming more and more networked and essential to modern infrastructure. This has led to an increase in the complexity of their dynamics and the challenges of prot...
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Open AccessSmart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data scenarios pose a new challenge to traditional imbalanced classifica...
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Open AccessEvaluating Explainable Machine Learning Models for Clinicians
Gaining clinicians’ trust will unleash the full potential of artificial intelligence (AI) in medicine, and explaining AI decisions is seen as the way to build trustworthy systems. However, explainable artifici...
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Open AccessCounterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization
In this study, we propose a pioneering framework for generating multi-objective counterfactual explanations in job-shop scheduling contexts, combining predictive process monitoring with advanced mathematical o...
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Open AccessMulti-resolution Twinned Residual Auto-Encoders (MR-TRAE)—A Novel DL Model for Image Multi-resolution
In this paper, we design and evaluate the performance of the Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) model, a deep learning (DL)-based architecture specifically designed for achieving multi-r...
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Open AccessNeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms
The realm of music composition, augmented by technological advancements such as computers and related equipment, has undergone significant evolution since the 1970s. In the field algorithmic composition, howev...
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Open AccessFederated Constrastive Learning and Visual Transformers for Personal Recommendation
This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data confidentiality during the training, by exploring federated learn...
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Article
Open AccessChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability to converse effectively, it has gained a huge popularity amongst researc...
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Open AccessConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks
Various industries and fields have utilized machine learning models, particularly those that demand a significant degree of accountability and transparency. With the introduction of the General Data Protection...
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Open AccessTwo-layer Ensemble of Deep Learning Models for Medical Image Segmentation
One of the most important areas in medical image analysis is segmentation, in which raw image data is partitioned into structured and meaningful regions to gain further insights. By using Deep Neural Networks...
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Open AccessStudying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science have enabled the detection of drivers’ drowsiness using Br...
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Open AccessDiabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of these ulcers can lead to 84% o...
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Open AccessDeep Multi-task Learning for Animal Chest Circumference Estimation from Monocular Images
The applications of deep learning algorithms with images to various scenarios have attracted significant research attention. However, application scenarios in animal breeding managements are still limited. In ...
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Open AccessHarnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making
In the last years, researchers and practitioners have focused on defining portfolio optimization approaches. This task aims to identify a suitable distribution of assets for maximizing profits and minimizing r...
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Open AccessA Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models
In recent years, the proliferation of deep learning (DL) techniques has given rise to a significant challenge in the form of deepfake videos, posing a grave threat to the authenticity of media content. With th...
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Open AccessCognitive Impairment Detection Based on Frontal Camera Scene While Performing Handwriting Tasks
Diagnosing cognitive impairment is an ongoing field of research especially in the elderly. Assessing the health status of the elderly can be a complex process that requires both subjective and objective measur...
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Open AccessShift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
Hyperdimensional Computing (HDC), also known as Vector-Symbolic Architectures (VSA), is a promising framework for the development of cognitive architectures and artificial intelligence systems, as well as for ...
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Open AccessAccurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Methylation is considered one of the proteins’ most important post-translational modifications (PTM). Plasticity and cellular dynamics are among the many traits that are regulated by methylation. Currently, me...