864 Result(s)
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English
Ben Ep**er
Article
Computer Science
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Article
Open AccessArtificial intelligence in support of the circular economy: ethical considerations and a path forward
The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a ...
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CNN-based ternary tree partition approach for VVC intra-QTMT coding
In July 2020, the Joint Video Experts Team has published the versatile video coding (VVC) standard. The VVC encoder enhances the coding efficiency compared with his predecessor high-efficiency video coding enc...
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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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Data as the next challenge in atomistic machine learning
As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and accessibility of atomistic data. In turn, there are op...
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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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Open AccessBringing the field into the lab: a novel virtual reality outdoor march simulator for evaluating cognitive and physical performance
Soldiers, athletes, and rescue personnel must often maintain cognitive focus while performing intense, prolonged, and physically demanding activities. The simultaneous activation of cognitive and physical func...
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BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images
Brain cancer is a fatal and debilitating condition that has a profoundly negative impact on patients' lives. Therefore, early diagnosis of brain tumors enhances the effectiveness of treatment and raises patien...
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Open AccessThe analysis of diversification properties of stablecoins through the Shannon entropy measure
The common goal for investors is to minimise the risk and maximise the returns on their investments. This is often achieved through diversification, where investors spread their investments across various asse...
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On the impact of multi-dimensional local differential privacy on fairness
Automated decision systems are increasingly used to make consequential decisions in people’s lives. Due to the sensitivity of the manipulated data and the resulting decisions, several ethical concerns need to ...
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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 comprehensive view of community detection approaches in multilayer social networks
Multilayer social networks are the main representative form for today’s social networks. In fact, the multiplicity of relations, the huge amount of data and the dynamic nature of nowadays social networks impos...
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FPGA-based implementation of the VVC low-frequency non-separable transform
The Versatile Video Coding (VVC) standard, released in July 2020, brings better coding performance than the High-Efficiency Video Coding (HEVC) thanks to the introduction of new coding tools. The transform mod...
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Advancing spatial map** for satellite image road segmentation with multi-head attention
Remote sensing imaging is an interesting field, particularly in road areas. Road segmentation has become crucial in several areas, such as transportation network optimization, urban planning, and image analysi...
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Trustworthy decentralization based on blockchain tools for social network architectures
The rise of decentralized social networks (DSNs) necessitates robust trust models to ensure secure and reliable interactions in an increasingly dynamic online environment. While blockchain technology has revo...
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Dynamic sensor fault detection approach using data-driven techniques
Sensor fault detection is an important phase for process surveillance. Indeed, successful execution of process tasks depends on the state of the available data. In industrial applications, systems have an unce...
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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...
