1,054 Result(s)
within
Ben Ep**er
Computer Science
English
Computer Communication Networks
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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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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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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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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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Correction: Improved clustering-based hybrid recommendation system to offer personalized cloud services
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A Real-time Multimodal Intelligent Tutoring Emotion Recognition System (MITERS)
Emotion recognition can be used in a wide range of applications. We are interested in the E-learning system because of the several benefits of learning anywhere and anytime. Despite important advances, student...
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Improved clustering-based hybrid recommendation system to offer personalized cloud services
The ever-increasing number of cloud services has led to the service’s identification problem. It has become difficult to provide users with cloud services that meet their functional and non-functional requirem...
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Monitoring and analyzing as a service (MAaaS) through cloud edge based on intelligent transportation applications
Recent advances in smart connected vehicles and intelligent transportation systems are based on the collection and processing of massive amounts of sensor data. There are various internal sensors integrated in...
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A Genetic Algorithm-based approach for placement in the fog of latency-sensitive multiplayer game servers
First-Person Shooter (FPS) games are among the most popular latency-sensitive multiplayer online games. A separate game server manages each multiplayer group hosted appropriately to meet the given Quality of Serv...
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A blockchain-based security system with light cryptography for user authentication security
Nowadays, the Internet of Things (IoT) enables the creation of a wide range of new services, including smart cities, agriculture, energy, technology, healthcare, and other security concerns. Safety concerns cu...
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Doc-Attentive-GAN: attentive GAN for historical document denoising
Image denoising attempts to restore images that have been degraded. Historical document denoising is specially challenging because there is considerable background noise or variation in contrast and illuminati...
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Open AccessPerformance prediction in online academic course: a deep learning approach with time series imaging
With the COVID-19 outbreak, schools and universities have massively adopted online learning to ensure the continuation of the learning process. However, in such setting, instructors lack efficient mechanisms t...
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Assessment of data augmentation, dropout with L2 Regularization and differential privacy against membership inference attacks
Machine learning (ML) has revolutionized various industries, but concerns about privacy and security have emerged as significant challenges. Membership inference attacks (MIAs) pose a serious threat by attempt...
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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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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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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...
