864 Result(s)
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English
Ben Ep**er
Article
Computer Science
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Article
Information flow control for comparative privacy analyses
The prevalence of web tracking and its key characteristics have been extensively investigated by the research community by means of large-scale web measurements. Most such measurements however are limited to t...
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Recognizing text lines in handwritten archival document images using octave convolutional and attention recurrent neural networks
Over the past several years, many archivists and historians have pointed out growing needs closely related to robust and efficient offline handwritten text recognition systems able to assist them in transcribi...
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Open AccessTowards a generic agent-based vector-host model: effects of carrying capacity and host mobility
The aim of our work is to develop a generic conceptual agent-based model to formalize the interaction of vector and host given climate change. The model consists in creating a hypothetical example of a vector-...
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Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Over the past few years, larger and deeper neural network models, particularly convolutional neural networks (CNNs), have consistently advanced state-of-the-art performance across various disciplines. Yet, the...
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Open AccessJournal self-citations trends in sport sciences: an analysis of disciplinary journals from 2013 to 2022
This study reports on the yearly rate of journal self-citation (JSC) in sport sciences, how it changes over time, and its association with journal impact factor (JIF). Citations made by all 87 journals in “spo...
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Vision transformer based convolutional neural network for breast cancer histopathological images classification
Breast cancer (BC) is a widespread and lethal cancer affecting women world- wide. Early diagnosis plays a pivotal role in ensuring survival, as late detection can result in a fatal outcome. Convolutional neura...
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Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
The emergence of deep learning (DL) has improved the excellence of generated media. However, with the enlarged level of photorealism, synthetic media is becoming very similar to tangible media, increasing seve...
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Retraction Note: Noise-estimation-based anisotropic diffusion approach for retinal blood vessel segmentation
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Correction: Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone
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Automatic and manual prediction of epileptic seizures based on ECG
This study presents a new attempt to quantify and predict changes in the ECG signal in the pre-ictal period. In the proposed approach, threshold techniques were applied to the standard deviation of two heart r...
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Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone
Using experimental results related to the biosorption of Fe(III) by activated carbon derived from olive pit waste, we developed and evaluated four artificial neural network (ANN) models in this study, namely M...
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Traffic flow management by detecting and estimating vehicles density based on object detection model
The huge growth in the number of vehicles is causing serious traffic management problems. Existing roads must handle traffic more than expected which presents serious challenges including congestion and safety...
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MP3 Audio watermarking using calibrated side information features for tamper detection and localization
Audio contents are frequently stocked up and transmitted in compressed formats. Among the many existing audio compression schemes, MPEG-1 Audio Layer III (MP3) is very popular and still widely spread. Therefor...
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Assessing topic-based users credibility in twitter
Online Social Networks (OSN) have become an inevitable source of information. Every user in OSNs can share true or false information regardless of their knowledge. False information can cause damage to people,...
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Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis
Internet users are overwhelmed by the vast number of services and products to choose from. This data deluge has led to the need for recommender systems. Simultaneously, the explosion of interactions on social ...
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Multi-head multi-order graph attention networks
The Graph Attention Network (GAT) is a type of graph neural network (GNN) that uses attention mechanisms to weigh the importance of nodes’ neighbors, demonstrating flexibility and power in representation learn...
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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 reliability and fault tolerance becomes a critical considerat...
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Open AccessHybrid metaheuristics for selective inference task offloading under time and energy constraints for real-time IoT sensing systems
The recent widespread of AI-powered real-time applications necessitates the use of edge computing for inference task offloading. Power constrained edge devices are required to balance between processing infere...
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A review on kinship verification from facial information
Kinship verification is a challenging computer vision task that aims to mainly answer the question: “Are these two persons blood relatives?”. It is an important area of research with many applications, includi...
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Correction: Improved clustering-based hybrid recommendation system to offer personalized cloud services
