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A Practice-Based Approach to Diagnose Pavement Roughness Problems
Pavement engineers are constantly trying to develop correlations between functional and structural indicators to develop best practices for pavement...
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Regression Model to Estimate Effort for Software-Oriented Projects
The assessment of the product development initiative remains a complicated issue requiring additional analysis. The efficiency of the development in...
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Regression test case selection and prioritization for object oriented software
In software maintenance, after modifying the software a system needs regression testing. Execution of regression testing confirms that any modified...
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HKTSMA: An Improved Slime Mould Algorithm Based on Multiple Adaptive Strategies for Engineering Optimization Problems
The slime mould algorithm (SMA), a revolutionary metaheuristic algorithm with streamlined operations and processes, is frequently utilized to solve...
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Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms (MHOAs) have gained many attentions from researchers all over...
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An Overview on Evaluation Methods of Sequence Prediction Problems
Sequence prediction problems are prevalent in various domains, including natural language processing, time series analysis, bioinformatics, and...
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Optimisation of Production Scheduling and Sequencing Problems in Industry 4.0
This article presents an initial overview of optimisation models applied to production scheduling and sequencing in the Industry 4.0 (I4.0)...
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Boosting Kernel Search Optimizer with Slime Mould Foraging Behavior for Combined Economic Emission Dispatch Problems
Reducing pollutant emissions from electricity production in the power system positively impacts the control of greenhouse gas emissions. Boosting...
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SFINet: An Oriented Fine-Grained Ship Identification Network Based on Remote Sensing Image
Ship identification based on optical remote sensing images is crucial in both civil and military contexts, such as fisheries management, port...
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Diagnose Skin Face Problems by Comparing Classification Algorithms
Data mining is a process of analyzing a set of existing data in the database so that information is obtained that is used in the next stage....
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An enhanced variable-fidelity optimization approach for constrained optimization problems and its parallelization
In this paper, a variable-fidelity constrained lower confidence bound (VF-CLCB) criterion is presented for computationally expensive constrained...
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Review on Environmentally-Friendly Vehicle Charging Station Location and Size Problems
Environmentally-friendly development has received global attention. Alternative energy-powered vehicles have been developed in response to air...
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Basics of Machine Learning by Support Vector Machines
Here, we talk about the (machine) learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying...
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A Modified Numerical Method Based on Bernstein Wavelets for Numerical Assessment of Fractional Variational and Optimal Control Problems
The main idea of this work is to present a novel scheme based on Bernstein wavelets for finding numerical solution of two classes of fractional...
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Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics
Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic...
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Key Factors Influencing Vehicle Availability Associated with the User Waiting Time of Demand Responsive Transport (DRT) for People with Disabilities
Demand Responsive Transport (DRT) services for the safe and comfortable travel of people with disabilities have long waiting times and significant...
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Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension
Scientists must understand what machines do (systems should not behave like a black box), because in many cases how they predict is more important...
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Ultimate Conditions Prediction and Stress–Strain Model for FRP-Confined Concrete Using Machine Learning
Fiber-reinforced polymers (FRP) as an exterior reinforcement material are generally utilized to enhance the effectiveness of the current and new...
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Solving Inventive Problems Dynamically: An Application of TRIZ with the System Dynamics Modeling Process
The competitiveness, the changing demands of the market, and a higher product complexity represent a challenge for inventiveness and innovation. The...
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Nature-Inspired DMU Selection and Evaluation in Data Envelopment Analysis
In order to have best efficient frontier, it is needed to have closer efficiency value for most of Decision Management Units (DMU) in Data...