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Recent advances via convolutional sparse representation model for pixel-level image fusion
Image fusion aims to integrate complementary information from different source images into the final output image. This plays a significant role in...
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Impact of Subject Orientation for Current Developments of Business Process Management - A Qualitative Assessment
The subject-oriented business process management (S-BPM) paradigm, with its basic idea that actors form a business processor choreography or... -
Recent progress of hafnium oxide-based ferroelectric devices for advanced circuit applications
Hafnium oxide-based ferroelectric field-effect-transistors (FeFET), which combine super-steep logical switching and low power non-volatile memory...
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The evolution of Big Data in neuroscience and neurology
Neurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years,...
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A new photosensitive neuron model and its dynamics
Biological neurons can receive inputs and capture a variety of external stimuli, which can be encoded and transmitted as different electric signals....
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Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly...
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6G Wireless Technologies
Discussions on 6G point to one terabit-per-second as a reasonable goal for the peak bit rate of next-generation wireless systems. To meet this goal,... -
Two-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the...
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Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
Sleep apnea is a potential sleep disorder, which deteriorates the quality of sleep. It is characterized by the obstruction in nasal airflow, which...
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A comprehensive review of artificial intelligence models for screening major retinal diseases
This paper provides a systematic survey of artificial intelligence (AI) models that have been proposed over the past decade to screen retinal...
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Deep Neural Network Based Salient Object Detection with Image Enhancement
Salient object detection aims to discover the most visually attractive regions from images. It allows more efficient follow-up processing of images... -
Introduction
Although the probability of a single transistor error can be low, the error rate of a large-scale VLSI design that involves up to billions of... -
Analysis of retinal blood vessel segmentation techniques: a systematic survey
Segmentation of Blood Vessel is a challenging mission in medical image processing to diagnose the disease. It evaluates vessels crucial in automatic...
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Review of substitutive assistive tools and technologies for people with visual impairments: recent advancements and prospects
The development of many tools and technologies for people with visual impairment has become a major priority in the field of assistive technology...
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Modular Supercomputing for Neuroscience
The precise simulation of the human brain requires coupling different models in order to cover the different physiological and functional aspects of... -
Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection
Detecting cardiac abnormalities promptly is critical for preventing unexpected and premature fatalities. In this research, four types of cardiac...
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Sunway supercomputer architecture towards exascale computing: analysis and practice
In recent years, the improvements of system performance and energy efficiency for supercomputers have faced increasing challenges, which create more...
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Golden jackal optimization with lateral inhibition for image matching
Image matching is a consequential branch of the discipline that integrates several theories and technologies, such as pattern recognition, image...
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New staircase sinusoidal voltage synthesizer and optimal interval type-2 fuzzy controller for dynamic voltage restorer to compensate voltage disturbances
In this paper, a new staircase sinusoidal voltage synthesizer based on dc-dc boost converter and dc-ac multilevel inverter is proposed for dynamic...
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Iterative Error Removal for Time-of-Flight Depth Imaging
Depth information plays an increasingly important role in computer vision tasks. As one of the most promising depth sensing techniques, Amplitude...