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Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
The equilibrium solubility of carbon dioxide (CO 2 ) in the solvents is a key essential characteristic that has to be evaluated for successful...
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Enhancing Robustness of Malware Detection Model Against White Box Adversarial Attacks
Deep Neural Networks(DNNs) have made remarkable breakthroughs in several fields such as computer vision, autonomous vehicles etc. Due to its...
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PUF Based Security for the Physical Hardware Devices of IoT Using White-Box Cryptographic Technique
Hardware security for IoT systems has always been a concern to establish trust among its users and till now it doesn’t meet its reliable outcome,...
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State Estimation Algorithms for Localization: A Survey
Unmanned vehicles represent a research hotspot in the fields of control and robotics. The realization of autonomous driving of unmanned vehicles...
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Machine Learning Regression Algorithms for Shear Strength Prediction of SFRC-DBs: Performance Evaluation and Comparisons
The objective of this study is to assess the shear strength of Deep Steel Fiber Reinforced Concrete Beams without stirrups (SFRC-DBs) and to forecast...
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The effects of quantum hardware properties on the performances of variational quantum learning algorithms
In-depth theoretical and practical research is nowadays being performed on variational quantum algorithms (VQAs), which have the potential to surpass...
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Predicting Compressive Strength of Color Pigment Incorporated Roller Compacted Concrete via Machine Learning Algorithms: A Comparative Study
Due to its low albedo, traditional asphalt pavement contributes to the urban heat island effect. Color pigment added roller compacted high...
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Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms
Retroreflectivity is the primary metric that controls the visibility of pavement markings during nighttime and in adverse weather conditions....
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A literature review on deep learning algorithms for analysis of X-ray images
Since the invention of the X-ray beam, it has been used for useful applications in various fields, such as medical diagnosis, fluoroscopy, radiation...
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Infectious Disease Modeling: From Traditional to Evolutionary Algorithms
The recent worldwide catastrophe named COVID-19 has motivated experts from various fields to contribute to tackling the situation, such as by...
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Adaptive Multi-Innovation Gradient Identification Algorithms for a Controlled Autoregressive Autoregressive Moving Average Model
The controlled autoregressive autoregressive moving average (CARARMA) models are of popularity to describe the evolution characteristics of dynamical...
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A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference
Optimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also...
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Comprehensive comparisons of gradient-based multi-label adversarial attacks
Adversarial examples which mislead deep neural networks by adding well-crafted perturbations have become a major threat to classification models....
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Multivariable CAR-like System Identification with Multi-innovation Gradient and Least Squares Algorithms
This paper focuses on the identification of a multivariable controlled autoregressive-like (CAR-like) system. A joint identification algorithm of...
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A Comparative Analysis of Eye Movement and Gaze Tracking Algorithms
Eye gaze and movement tracking is an important aspect in various fields. They are seeing increased usage in medicine, psychology, education and other...
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SPIS: Signal Processing for Integrated Sensing Technologies Using 6G Networks with Machine Learning Algorithms
The proliferation of integrated sensing techniques in Sixth Generation (6G) networks is an increasingly significant aspect in facilitating efficient...
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Multistage parameter estimation algorithms for identification of bilinear systems
In this paper, two methods for parameter estimation of bilinear state-space systems with colored noise, which are expressed by ARMA model, are...
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White Box Testing Using Genetic Algorithm—An Extensive Study
In unit testing phase, the developers test each module of the Software Under Test (SUT) by going through the source code of the software. This...
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A Survey of PCB Defect Detection Algorithms
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the...
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A New Breeding Crossover Approach for Evolutionary Algorithms
In a previous work, we introduced a population-based, bio-inspired algorithm. The proposed algorithm is inspired by the biological animal life cycle,...