864 Result(s)
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Ben Ep**er
Article
Computer Science
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Article
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification
The interpretation of biological data such as the ElectroCardioGram (ECG) signal gives clinical information and helps to assess the heart function. There are distinct ECG patterns associated with a specific cl...
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Inter prediction multiple reference frames impact on H266-VVC encoder
This paper presents Inter prediction Multiple Reference Frames Impact on H266-versitele video coding (VVC) encoder. Video compression plays a crucial role in storing and transmitting video content. Recent deve...
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A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism
Learning models from COVID-19 data are conducive to understand this disease. However, the scarcity of labeled data presents certain challenges. Previous works have exploited existing deep neural network models...
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Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models
The accurate classification of Motor Imagery (MI) electroencephalography (EEG) signals is crucial for advancing Brain-Computer Interface (BCI) technologies, particularly for individuals with disabilities. In t...
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Open AccessEfficient fog node placement using nature-inspired metaheuristic for IoT applications
Managing the explosion of data from the edge to the cloud requires intelligent supervision, such as fog node deployments, which is an essential task to assess network operability. To ensure network operability...
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Open AccessA decade of research into the application of big data and analytics in higher education: A systematic review of the literature
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its ...
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Exploring the integration of blockchain technology, physical unclonable function, and machine learning for authentication in cyber-physical systems
In this rapidly advancing era, technology has been progressing extensively and swiftly. As a result, the emergence of numerous Cyber-Physical Systems (CPS) has become imperative to meet the technological deman...
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Ensuring authentication in Medical Cyber-Physical Systems: A comprehensive literature review of blockchain technology integration with machine learning
Medical Cyber-Physical Systems (MCPS) are increasingly prevalent in an era of rapid technological advancement. They hold significant importance for patients and healthcare professionals, as they leverage cyber...
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Total variable-order variation as a regularizer applied on multi-frame image super-resolution
Multi-frame image super-resolution reconstruction focuses on obtaining a high-resolution (HR) image from a low-resolution image. Since the super-resolution problem is ill-posed, it is frequent to use regulariz...
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Comparative Study of Segmentation Techniques for Basal Ganglia Detection Based on Positron Emission Tomography Images
The Basal Ganglia (BG) is a small brain structure that plays a significant role in the Parkinson’s disease (PD) pathogenesis. Since it provides detailed quantitative information for the PD progression, positro...
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Open AccessNumerical solution of the boundary value problems for the biharmonic equations via quasiseparable representations
The paper incorporates new methods of numerical linear algebra for the approximation of the biharmonic equation with potential, namely, numerical solution of the Dirichlet problem for
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AMCB: Authenticated Medical Cyber-Physical Blockchain model
At a time when technology is spreading rapidly and widely, technology has become a necessity in daily life and practical life, and this led to the emergence of many cyber-physical systems (CPS), among which th...
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AMCB: enhancing the authentication process with blockchain integrated with PUF and machine learning
The rapid advancement of technology has given rise to medical cyber-physical systems (MCPS), a subset of cyber-physical systems (CPS) specifically tailored for patient care and healthcare providers. MCPS gener...
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Fusion of deep and local gradient-based features for multimodal finger knuckle print identification
This paper proposes a novel efficient descriptor for finger knuckle print (FKP) identification. Our proposed descriptor is called MDL (Magnitude, Direction, and Local patterns), as it describes the rich structure...
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Text recuperated using ontology with stable marriage optimization technique and text visualization using AR
Written text stands as a cornerstone of communication in our daily lives. However, it is not uncommon for letters to be marred by obscurities, blurriness, erasures, or obstructions, which can lead to misinterp...
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Open AccessPictorial and Apictorial Polygonal Jigsaw Puzzles from Arbitrary Number of Crossing Cuts
Jigsaw puzzle solving, the problem of constructing a coherent whole from a set of non-overlap** unordered visual fragments, is fundamental to numerous applications, and yet most of the literature of the last...
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Deep facial expression detection using Viola-Jones algorithm, CNN-MLP and CNN-SVM
Computer vision researchers are now studying the process of recognizing emotions from facial expressions. Our system is based on his three-step method in this article, which includes face detection, feature ex...
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Neonatal Seizure detection using GLCM feature extraction & AlexNet classification
Neonatal seizures result from a decreased supply of oxygen to the brain during the neonatal period, leading to neurological disorders and abnormal neuronal activity. Electroencephalography (EEG) is employed to...
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Cross-Domain Facial Expression Recognition by Combining Transfer Learning and Face-Cycle Generative Adversarial Network
Facial expression recognition (FER) is one of the important research topics in computer vision. It is difficult to obtain high accuracy in FER tasks, especially when the high-quality labeled data are insuffici...
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Plant species recognition with optimized 3D polynomial neural networks and variably overlap** time–coherent sliding window
Plant species recognition is a primordial task that forms the basis of solving several plant-related computer-vision problems such as disease detection or growth monitoring. However, a lack of voluminous datas...
