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Power Geometric Operations of Trapezoidal Atanassov’s Intuitionistic Fuzzy Numbers Based on Strict t-Norms and t-Conorms and Its Application to Multiple Attribute Group Decision Making
Trapezoidal Atanassov’s intuitionistic fuzzy numbers (TrAIFNs) is one of the useful tools to manage the fuzziness and vagueness in expressing...
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Visual and Textual Elements of Board Game Packaging, What Do Children Prefer?—An Eyetracking Study
Games and toys represent a significant component of a child’s life throughout their childhood, contributing to fun and socialisation. Nowadays, more...
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Levels of Digitalization for Construction Machinery on the Connected and Automated Construction Site
Digitalization and automation are among the most important development trends in the construction machinery industry. Despite the many individual...
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Feasibility Study on Two Novel Lubricants for a Carbon Dioxide Reciprocating Compressor
In recent years, increasing research efforts have been made on modeling and testing positive displacement compressors with low global warming...
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In-situ and Laboratory Geotechnical Properties of Municipal Solid Waste from South Eastern Johannesburg
The heterogeneous constitution of municipal solid waste and problems associated with the prediction of the stability of landfills require an in-situ...
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Estimating Design Loads for Floating Structures Using Environmental Contours
Nonlinear time-domain simulations are often used to predict the structural response at the design stage to ensure the acceptable operation and/or...
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Fault Tolerance in Electric Vehicles Using Deep Learning for Intelligent Transportation Systems
Intelligent transportation systems (ITS) such as hybrid electric vehicles make use of sensing technologies to improve mobility, safety and...
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Deep Learning-Based Inertial Navigation Technology for Autonomous Underwater Vehicle Long-Distance Navigation—A Review
AbstractAutonomous navigation technology is the key technology for Autonomous Underwater Vehicle (AUV) to achieve automated, intelligent operation...
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Artificial Neural Networks
Artificial neural networks are now one of the most popular tools for analyzing large data sets. They are the subject of extremely intensive research...
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Multivariate Frequency Analysis for Streamflow Drought Having Different Time Resolution Using Archimedean Copula Functions
This study explored return periods of the streamflow deficit characteristics by threshold levels with different time resolutions (daily, weekly, and...
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Automated Environmental Map** with Behavior Trees
Automated exploration, environmental measuring and map** using robotic systems is highly relevant in post-disaster scenarios. Challenging...
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An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing
The effective mimicry of neurons is key to the development of neuromorphic electronics. However, artificial neurons are not typically capable of...
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Introduction
Condition Monitoring (CM) and Fault detection and diagnosis (FDD) help to ensure the reliability and low-cost operation of industrial facilities in...
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An Overview on Optimisation and Big Data in Supply Chain 4.0
Industry 4.0 is the fourth industrial revolution that refers to the digital transformation of supply chains, operations, factories and customers with...
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Multiple attribute decision making technique using single-valued neutrosophic trigonometric Dombi aggregation operators
Dombi operations have the advantage of flexible operations corresponding to a changeable parameter. Then, in the existing literature, the Dombi...
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Subcooling effect on the optimal performance for a transcritical CO2 heat pump with cold thermal energy storage
This paper studies the combined heating and cooling thermal performance of a CO 2 heat pump system considering the subcooling effect. For such a...
