Results 11 to 20 of about 109,504 (168)
An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem
The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver.
Skander Htiouech +4 more
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Background Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus forming the critical aspects for the early treatment of several diseases.
Hua Chen +6 more
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Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives
In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science.
Dorian Skrobek +8 more
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Classification of waste in natural environments [PDF]
A worldwide issue affecting the world is waste disposal; hence, the need to construct a waste detection system that is based on deep learning. Ten wastes are evaluated in this article with a view of providing an integrated framework for measurement and ...
Kumar Kanaparthi Suresh +5 more
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A multiresolution framework to characterize single-cell state landscapes
Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. Here, the authors introduce the concept of multiresolution cell-state decomposition as a practical approach to simultaneously capture both fine- and coarse ...
Shahin Mohammadi +2 more
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Contagious respiratory diseases, such as COVID-19, depend on sufficiently prolonged exposures for the successful transmission of the underlying pathogen.
Chathika Gunaratne +3 more
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EnCaps: Clothing Image Classification Based on Enhanced Capsule Network
Clothing image classification is more and more important in the development of online clothing shopping. The clothing category marking, clothing commodity retrieval, and similar clothing recommendations are the popular applications in current clothing ...
Feng Yu +6 more
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Adaptive feature extraction method for capsule endoscopy images
The traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB descriptors do not distinguish features well in capsule endoscopy images. Therefore, a new feature detector
Dingchang Wu +6 more
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Video Deblurring via Temporally and Spatially Variant Recurrent Neural Network
The camera shake and high-speed motion of objects often produce a blurry video. However, it is hard to recover sharp videos using existing single or multiple image deblurring methods, as the blur artifacts in blurry videos are both temporally and ...
Runhua Jiang +4 more
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The enormous amount of data generated by sensors and other data sources in modern grid management systems requires new infrastructures, such as IoT (Internet of Things) and Big Data architectures.
M. Dolores +3 more
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