191 Result(s)
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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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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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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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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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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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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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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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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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Performance analysis of MTS on the VVC encoder
Versatile video coding standard known as H.266/VVC has been adopted by the Joint Video Experts Team in July 2020 Bross et al. (ITU-T and ISO/IEC JVET-S2001, 2020). It is the latest video coding standard with a...
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The use of knapsack 0/1 in prioritizing software requirements and Markov chain to predict software success
Requirements prioritization is one of the most valuable aspects of software engineering. This is primarily due to the fact that resources, be it time, skillset, or budget, are limited. Existing complex methodo...
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Image super resolution boosting using beta wavelet
Image super resolution (SR) is a critical category within the field of image processing techniques that aims to improve the resolution of both images and videos. Its significance is especially pronounced in im...
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Low Power Blockchain in Industry 4.0 Case Study: Water Management in Tunisia
Industry has undergone, during this decade, significant technological changes and improvements. The industrial sector is further moving towards IIoT (Industrial IoT) and Industry 4.0. Security and data reliabi...
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Unsupervised character recognition with graphene memristive synapses
Memristive devices being applied in neuromorphic computing are envisioned to significantly improve the power consumption and speed of future computing platforms. The materials used to fabricate such devices wi...
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Open AccessEvaluating the impact of passive physical everyday tools on interacting with virtual reality museum objects
Museums are increasingly embracing new methods and technologies to enhance the visitor experience. Virtual Reality (VR) provides the opportunity to experience objects and situations that are not readily availa...