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Current practices lack reliable models for continuously assessing compaction quality from limited data, which hinders effective compaction quality control and the acceptance of earthwork. Using material source parameters as inputs for assessment ...

Surrogate-assisted evolutionary algorithms (SAEAs) prevail in the solution of computationally expensive optimization problems. However, with the growth of problem scale and complexity, the high-dimensional problem space greatly restricts their ...

As the world endeavors to shift toward sustainable energy solutions, the pivotal role of solar energy, specifically photovoltaics, becomes increasingly evident. This study investigates the critical task of accurately predicting photovoltaics power ...

In recent years, the high cost of searching and processing raw materials and the fact that raw material resources have come to the point of depletion force industry and science to seek different solutions. In addition, due to the necessity of ...

With the proliferation of femtocell networks, seamless hand-off, and efficient power management are crucial for ensuring undisturbed connectivity and the optimal utilization of resources. Certain limitations of the existing methods include ...

Indoor localization using wireless fidelity (WiFi) fingerprint has attracted considerable attention due to its extensive deployment and low cost. Most indoor fingerprint localization methods could be computationally inefficient and behave with ...

• A particle swarm optimized indoor positioning in the online stage is proposed.
• The fitness function is the sum of standard deviations between two fingerprints.
• The testing fingerprint compares with generated one by IDW, not the ...

• Integrated food delivery problem considering both single and multiple deliveries is considered.
• A novel mixed integer linear programming model is developed.
• Suitable metaheuristic algorithms are proposed and performances are ...

The global food delivery market is rapidly growing, and leading companies in Korea have recently introduced a single-order delivery service, wherein a courier picks up customers’ food and delivers it immediately without visiting other places. ...

Driven by the global pandemic, the demand for online education has significantly increased, making it crucial to enhance the interactive experience of online teaching to improve student learning outcomes and engagement. In this context, we have designed ...

With the rapid development of machine learning, it has been applied to solve various problems in social life because of its unique advantages. To address the current new energy consumption prediction and access planning methods of peak shifting capacity ...

The node localization problem of wireless sensor networks (WSNs) is addressed in this article with a node localization algorithm designed using fuzzy logic and a nature-inspired algorithm. The coordinates of target nodes are obtained using fuzzy ...

Asian Indians face a unique risk for type 2 diabetes, with earlier onset and diagnosis at lower BMIs than other populations. Their susceptibility to diabetes-related health risks is higher compared to white populations. India struggles with low ...

Water covers about 71% of the Earth’s surface, which is crucial for transportation, climate regulation, and the production of pharmaceuticals. The Internet of Underwater Things (IoUT) can detect valuable items such as minerals, metals, corals, and ...

This work proposes a novel robotic exoskeleton for rehabilitation of the index finger. Though all motions of index finger are essential, the major range of motion is covered by flexion/extension motion. Hence, a Stephenson III six-bar mechanism ...

The Particle Swarm Optimization (PSO) algorithm faces several inherent challenges when applied to dynamic and large-scale optimization problems. These challenges encompass the issues of outdated particle memory, inadequate scalability in high-...

The Industrial Internet of Things (IIoT) attributes to intelligent sensors and actuators for better manufacturing and industrial operations. At the same time, IIoT devices must be secured from the potentially catastrophic effects of eventual ...

• Successfully designed and prepared a heterojunction VBiTNA.
• VBiTNA exhibits excellent photocatalytic degradation of NOR.
• Revealing the synergistic effect of oxygen vacancies and interfacial electric fields in VBiTNA.

Fossil fuel consumption is a major source of greenhouse gas emissions. The Russia–Ukraine conflict has led to energy price volatility. Therefore, affordable energy poses a significant threat. The development of renewable energy to meet ...

Due to the necessity of virtualization in a fog environment with limited resources, service providers are challenged to reduce the energy consumption of hosts. The consolidation of virtual machines (VMs) has led to a significant amount of research ...

Diabetes is a chronic medical condition that disrupts the body's normal blood sugar levels. It is essential to detect this disease at an early stage in order to prevent organ and tissue injury. This study focuses on diagnosing diabetes by ...

Multi-Criteria Decision Analysis (MCDA) is an interdisciplinary field that addresses decision-making problems that involve multiple conflicting criteria. MCDA methods are widely applied in various domains, including medicine, management, energy, ...${}_{}$

To improve the functionality and efficiency of electric vehicles (EVs), the smart battery management system (BMS) is essential. The accurate estimation of the state of health (SOH) and remaining useful life (RUL) in BMS enhance battery safety, ...