American University of the Middle East

A Two-Stage Unsupervised–Supervised Machine Learning Framework for Maximum Power Point Tracking of Photovoltaic Systems

Maximum Power Point Tracking (MPPT) is essential for maximizing photovoltaic (PV) energy extraction under changing operating conditions. This paper investigates a two-stage machine-learning framework combining K-means or fuzzy C-means (FCM) clustering of irradiance–temperature co...

Adaptive Rogers’ Ratio-Based Transformer Fault Diagnosis: A New Hybrid Fungal Growth Optimizer with Teaching-Learing-Based Optimization (FGO–TLBO) Metaheuristic for Explainable Intelligent Optimization Framework

Accurate identification of transformer insulation faults is essential for reliable power-system operation, and dissolved gas analysis (DGA) remains an important diagnostic tool. However, conventional Rogers’ Ratio interpretation relies on fixed decision boundaries that may not re...

Target Color Contrast and Eccentricity in Visual Search: Implications for Control Panel Design

Control panel and monitoring interfaces require operators to perform visual search while assessing system status. This study examined how Target Color Contrast and Target Eccentricity, operationalizing specific visual and spatial aspects associated with the Salience and Effort co...

A hydroinformatics framework for multisource precipitation merging and SPI-based drought monitoring in Eswatini

ABSTRACT Graphical summary of the study. A map of Eswatini shows elevation, agroecological zones, and training and testing rain gauges. AgERA5, ERA5-Land, ARC2, and CHIRPS are combined in four precipitation configurations and modelled using Random Forest and XGBoost, with and wit...

Towards Reliable Prosody Detection in Teaching Practical Phonetics: A Sustainable Digital Approach

This research focuses on providing quality education to specialists in the field of linguistic studies, phonology, theoretical and practical phonetics by creating an innovative automated service which can ease the linguists endeavour to transcribe and examine suprasegmental featu...

Exact Soliton Solutions and Lyapunov-Based Nonlinear Dynamical Analysis of a Classical Kolmogorov–Petrovsky–Piskunov Equation

In this study, an analytical and dynamical study of the classical Kolmogorov–Petrovsky– Piskunov (KPP) equation is carried out by means of the improved generalized Riccati equation mapping (IGREM) method. An appropriate traveling-wave transformation is used to reduce the governin...

Citric acid-modified loquat seed waste as biosorbent for methylene blue: kinetics, isotherm, thermodynamics, and machine learning-based prediction of adsorption performance

ABSTRACT Graphical abstract showing citric-acid modification of loquat seed powder and its application as a biosorbent for methylene blue removal. The material achieved a maximum adsorption capacity of 47.53 mg/g within 9 min, followed by the Freundlich and pseudo-second-order mo...

Revealing Cultural and Linguistic Variation in Generative AI–Mediated Language Learning: A Mixed-Methods Study

The rapid expansion of generative artificial intelligence (AI) in language education has created new possibilities for personalized and adaptive learning, while raising questions about how learners from different linguistic and educational backgrounds interact with AI systems. Th...

Beyond Perceived Barriers: Human Capacity and Technological Readiness in Sustainable Construction Adoption in Jordan

Sustainable construction adoption in developing economies is often discussed in terms of financial, regulatory, and institutional barriers, while the organizational capabilities required for implementation have received less attention. This study examines the associations between...

Integrating Bulk and Molecular Analyses with PCA to Elucidate OM Dynamics in Treated Sludge: Insights for Sustainable Waste Management

Abstract Effective sludge treatment is essential for sustainable waste management, addressing environmental protection, public health, and resource recovery objectives. This study investigates the stabilization dynamics of five treated sludge products—raw thickened, digested, dri...

Progress in assessing wind loads on roof-mounted solar panels: Research and standards

This paper provides a comprehensive review of existing literature and current wind code and standard provisions related to wind effects on roof-mounted photovoltaic systems, with particular emphasis on tilted PV arrays installed on flat or nearly flat roofs, which form the basis...

Design and functional verification of an automated Perkins Brailler accessory with audio feedback

PURPOSE: This study presents a proof-of-concept automated accessory designed to actuate selected functions of a standard Perkins Brailler. MATERIALS AND METHODS: The prototype uses push-type electromagnetic solenoids to operate the Brailler keys, a gear motor to support carriage...

Geospatial Artificial Intelligence (GeoAI) for Sustainable Urban Governance: A Systematic Review and Governance-Oriented Framework

GeoAI has advanced the analysis and prediction of urban systems by integrating GIS with artificial intelligence, yet its contribution to urban planning and governance remains limited. Many applications function as black-box predictive tools, making results difficult to interpret,...

The Norm Residue Symbol for Formal Drinfeld Modules

We study the Kummer pairing associated with formal Drinfeld modules of stable reduction and height one over local fields. Building on the explicit reciprocity framework initiated by Kolyvagin and later developed for Drinfeld modules, we develop a derivation-based approach to the...

Beyond Governance Compliance: Risk Management Committees, Risk Disclosure, and Financial Performance in a Frontier Market

This study is two-fold. First, it examines the impact of risk management committee characteristics on the level of risk information disclosure (financial, non-financial, and total risk disclosure). Second, it investigates the effect of risk disclosure on financial performance mea...

AI-driven Wi-Fi radar people counting for intelligent IoT and distributed sensing systems

<title>Abstract</title> Counting humans in indoor environments is a key capability for intelligent Internet of Things (IoT) systems, enabling applications such as smart home energy optimization, occupancy-aware automation, and real-time decision-making. With the proliferation of...

Green Innovation and Resource Use Efficiency in GCC Firms: The Role of Workforce Capability and Governance

ABSTRACT This study examines whether environmental innovation strengthens resource use efficiency in Gulf Cooperation Council (GCC) firms and identifies the organisational conditions under which this relationship produces verifiable operational outcomes. Drawing on the natural re...