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A comparison of point-tracking algorithms in ultrasound videos from the upper limb
Tracking points in ultrasound (US) videos can be especially useful to characterize tissues in motion. Tracking algorithms that analyze successive...
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Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy
In this article, we consider the solution of an inverse problem of Raman spectroscopy of water-ethanol solutions by artificial neural networks (NN)....
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
Fuzzy transform is a novel and well-founded soft computing method for reconstruction and denoising of image data. Recently, a least-squares fuzzy...
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Estimation of compressive strength of recycled aggregate concrete using advanced meta-heuristic algorithms and random forest analysis
This study uses random forest (RF) analysis to present a novel method for estimating the compressive strength ( F c ) of concrete made with recycled...
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An intelligent personalized web user information retrieval using partial least squares and artificial neural networks
The Internet has more than Bronto bytes of available information. However, not all the information matches the appropriate meaning of the search. In...
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Parametric optimization of micro-tool fabrication through sheet-EDG using nature-inspired algorithms
Sheet electrical discharge grinding (sheet-EDG) is a recently developed novel method for producing high aspect ratio micro-tools. However, due to the...
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A guided evolution strategy for discrete sizing optimization of space steel frames
In this paper, a new design-driven hybrid optimization algorithm called guided evolution strategy (GES) is proposed for a reliable and rapid optimum...
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Kinematics and trajectory planning analysis based on hybrid optimization algorithms for an industrial robotic manipulators
In industrial applications and automation, the robotic manipulators exhibit a significant role. Several complex robotic systems performed a number of...
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The Hybrid Model of LSB—Technique in Image Steganography Using AES and RSA Algorithms
The process of embedding a data file or information inside another data file or picture is known as steganography. The goal of steganography is to...
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Optimization Algorithms to Reduce Route Travel Time
Planning the most energy-effective and fastest route is pivotal to reducing the windshield time of field workers, ensuring guests receive their...
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Optimized Anfis Model with Hybrid Metaheuristic Algorithms for Facial Emotion Recognition
Emotion recognition from facial images is an important and active area of research. Facial features are widely used in computer vision for emotion...
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Comparative performance of the NSGA-II and MOPSO algorithms and simulations for evaluating time–cost–quality–risk trade-off in multi-modal PERT networks
Nowadays, attention to the goals of cost, quality, time, and risk is essential in every project. In this regard, the beneficiaries of each project...
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The Implementation of a Machine-Learning-Based Model Utilizing Meta-heuristic Algorithms for Predicting Pile Bearing Capacity
The main focus in designing pile foundations is the pile bearing capacity (PBC), influenced by various soil characteristics and foundation...
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User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is...
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A deep learning method for computing mean exit time excited by weak Gaussian noise
Exit events induced by noise from the attracting domain containing a stable fixed point are ubiquitous phenomena in physical systems, wherein mean...
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An Efficient Multilevel Threshold Segmentation Method for Breast Cancer Imaging Based on Metaheuristics Algorithms: Analysis and Validations
Breast cancer is a hazardous disease that should be seriously tackled to reduce its danger in all aspects of the world. Therefore, several imaging...
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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimization algorithms
Shear failure of slender reinforced concrete beams without stirrups has surely been a complicated occurrence that has proven challenging to...
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Comparative Study of Recommendation Algorithms on Yelp Dataset
In this work, we compare various recommendation algorithms on the Yelp dataset by exploiting multiple collaborative filtering algorithms. We use an...
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Multiobjective Evolutionary Algorithms for Engineering Design Problems
As computation tools have evolved, along with the emergence of industrial breakthroughs, there has been a proliferation of engineering design real...
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Mean Texture Depth Estimation of Exposed Aggregate Concrete Pavement Surface Texture Based on Photogrammetry Technique
The pavement texture wavelength and mean texture depth (MTD) of the pavement macrotexture significantly affect functional performance. However, owing...
