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During tunnel construction using the drilling and blasting method, layered jointed rock masses often pose engineering challenges such as over- and under-excavation of the crown and working face. The authors addressed the...

Acidified oil wastewater contains high concentrations of phosphorus and organic pollutants, which not only pose environmental risks but also contain recoverable phosphorus resources. However, its complex matrix (high COD...

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...

The main objectives of this study are to enhance the power extraction of photovoltaic (PV) systems under rapidly changing ecological circumstances using Maximum Power Point Tracking (MPPT) and to improve the power qualit...

The integration of solar energy into modern power grids supports sustainability and energy efficiency but also introduces power quality (PQ) challenges such as harmonic distortion, voltage sag, swell, and fluctuations. I...

Abstract The rapid adoption of AI is transforming industrial wastewater treatment by enabling real-time monitoring, predictive control, and operational optimization. Publications on the subject accelerated sharply betwee...

Abstract This paper proposes an integrated and optimally tuned photovoltaic water pumping system (PVWPS) with high performance and operational stability under variable climatic conditions. The pumping process starts with...

Abstract Internet of Things (IoT) is increasingly realized through large scale deployments of heterogeneous devices and gateways operating under strict energy budgets and interference limited links, which motivates relia...

Abstract The primary characteristics of an electric drive include the ability to utilize the maximum torque throughout the speed range, minimal reliance on parameters, and, if feasible, the highest efficiency. This paper...

Hypertension is a major chronic disease worldwide and in Iraq. Baghdad especially suffers from it due to rapid urbanization, dietary changes, and lifestyle shifts. We lack local data on hypertension factors in Baghdad co...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...

The increasing penetration of renewable energy sources (RES) reduces power system inertia, causing severe frequency excursions following disturbances. Conventional Automatic Generation Control (AGC) using fixed-gain cont...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

Due to the limitation of lacking elevation resolution, ground-based interferometric radar suffers from serious layover problem when applied to building deformation monitoring. Ground-based tomographic arc-scanning synthe...

Abstract Germination is an effective bioprocessing strategy for enhancing the nutritional quality and functional potential of legumes. This study systematically evaluated the effects of controlled germination on the nutr...

IntroductionInjury assessment and forensic decision support are pivotal challenges in sports medicine, requiring advanced methods to interpret complex biomechanical and medical imaging evidence under uncertainty. This st...

Mobility-as-a-Service (MaaS) orchestration faces critical challenges in managing the Service Quality Index (SQI), Fleet Utilization Ratio (FUR), and Dynamic Pricing Index (DPI) under uncertain and time-varying urban dema...

This paper proposes an innovative model-free deep reinforcement learning-based controller (RL-C) for a grid-connected 5-level packed-U-cell (PUC5) multilevel inverter (MLI). The controller is designed to deliver a high-q...

Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...

Aiming at the power flow tracking performance optimization problem of modular multilevel converter (MMC)-unified power flow converter (UPFC) in novel power system, a Lyapunov nonlinear control strategy of MMC-UPFC under ...

Source-grid-load-storage coordinated operation control is an operation mode and technology that can maximize the utilization of energy resources, and can economically, efficiently and securely improve the power dynamic b...

In response to the operation problem of electric vehicle charging spots with grid forming capabilities within grid-connected micro-grids, this paper studies an optimization method for the operation of grid-forming chargi...

Water build-up has continued to be one of the leading causes of performance variability and loss of durability in proton exchange membrane fuel cells (PEMFCs), especially at the high current density and transient operati...