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Legged robots, particularly quadrupeds, have emerged as an essential research focus for traversing unstructured environments where wheeled systems are limited. This paper presents a novel Multi-Level Cognitive Control Ar...

Anaerobic co-digestion of livestock waste presents a viable approach for addressing environmental challenges and reducing greenhouse gas emissions in semi-urban and rural contexts. This study focuses on the development o...

Energy consumption and the utilization of sustainable energy sources are of great importance for the economic independence and environmental stability of nations. Turkey, as a country heavily dependent on energy imports,...

This study proposes a multiobjective genetic algorithm-based framework to optimize key determinants of service quality in banking environments, addressing the limitations of conventional SERVQUAL and BSQ model. This stud...

Abstract Spatial variations in stiffness and mass density make the free-vibration behavior of tridirectionally functionally graded material (3D-FGM) beams highly sensitive to material gradation, while computationally eff...

Introduction. Stator flow-oriented control is currently the most widely used system in industry or in previous research for improving the quality of mechanical power generated by permanent magnet synchronous motors (PMSM...

Abstract This paper presents an intelligent coordinated control framework for a hybrid standalone microgrid integrating solar photovoltaic, wind, and battery energy storage systems. The proposed Radial Basis Function Neu...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

One of the most severe consequences of two wheeler accidents is the occurrence of head and spinal injuries, which often cause long term disability or even death. The cervical spine, located in the neck area, is particula...

Abstract The emergence of Internet-of-Things devices and expanding data processing demands have led to the popularization of edge computing. But energy efficiency challenges and security problems also remain difficult in...

Abstract The adoption of Electric Vehicles (EVs) has accelerated due to ongoing technological advancements, cost reductions, and a growing awareness of environmental issues. However, despite this progress, challenges per...

Introduction. Recently, multilevel inverters (MLIs) have been widely investigated for industrial and renewable energy systems as they are valuable in applications where they can produce clean, high-fidelity electrical si...

Objective: To identify risk factors for post-radiation xerostomia and to evaluate the tolerance to doses administered to the parotid gland in patients with nasopharyngeal carcinoma (NPC). Methods: A total of 462 patients...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

The recent trends in the field of Robotics have evolved a lot irrespective of its application across any field. That too when wall climbing robots are considered, many researchers have come up with many innovative design...

The increasing integration of inverter-interfaced renewable energy sources has significantly changed the dynamic characteristics of modern power systems, resulting in a substantial decline in effective system inertia and...

The rapid growth and increasing complexity of Internet of Things (IoT) networks require efficient real-time monitoring and anomaly detection mechanisms. Traditional machine learning approaches often struggle to handle th...

Abstract Nanofluids have emerged as promising heat transfer media due to their superior thermal performance associated to conventional fluids, yet their behavior under mutual impacts of radiation, heat source/sink, and m...

Abstract Photovoltaic (PV) systems have become one of the most important solutions to sustainable energy production due to the growing demand of renewable energy and the necessity to harness energy in the most efficient ...

Surface texturing is helpful in decreasing the friction, decreasing the wear, and increasing the fluid film stiffness. This investigation studies the influence of micro-pit arrangement on the behavior of gas parallel sli...

The use of neutral point clamped (NPC) multilevel inverters has significantly increased in recent decades, due to their appealing features compared to two-level voltage source inverters. In many industry-level applicatio...

Introduction. Nowadays, the most widely used wind energy conversion system in wind farms is based on a doubly fed induction generator (DFIG); it has a large speed range and can function in multiple modes. Problem. Harmon...

This research describes a deep learning-based artificial neural network (ANN) approach for the detection, classification, and localization of series faults (open conductor faults) in power distribution networks. The ANN ...

Robots that are flexible, reconfigurable and universally adaptable and capable of performing various tasks in constrained and dynamic workspaces are in high demand. In this research general forward kinematic model has be...