2,128 Result(s)
within
Ben Ep**er
Computer Science
English
Artificial Intelligence
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Article
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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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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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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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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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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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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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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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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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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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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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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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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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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Open AccessThe Social life of AI in Education
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A novel cooperative collision avoidance system for vehicular communication based on deep learning
Global road traffic injuries represent a significant safety challenge, with the highest fatality rates worldwide stemming from a combination of drivers' reckless behavior and the ever-expanding number of vehic...
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Preface to the VECoS 2020 & 2021 special issue of ISSE
