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The World Health Organization declared mpox a public health emergency of international concern in both 2022 and 2024, highlighting the critical need for rapid and reliable diagnostic solutions. To address this challenge,...

Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...

The integration of wind energy into power systems has intensified as a result of the urgency for global energy transition. This requires more accurate forecasting techniques that can capture the variability of the wind r...

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

INTRODUCTION: With the rapid growth of offshore wind power integration and increasing wind power penetration, accurate power forecasting has become essential for maintaining grid stability and supporting economic dispatc...

Abstract Underwater imaging suffers from various challenges such as color distortion, low contrast, and reduced visibility caused by light attenuation. Addressing these issues is crucial for improving the performance of ...

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...

The characteristics of growth and green mass formation of the first-generation sweet sorghum hybrid ‘Silosnoe 88’ for fodder production purposes were studied in 2017–2024 in the Novgorod region on sod-podzolic medi...

Background Proliferative urethritis (PU) is a lower urinary tract disease of dogs characterized by frond‐like lesions in the urethra. The etiology of PU is unknown, although an association with bacterial cystitis is re...

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has alway...

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...

Abstract Background Malnutrition among hospitalized older adults in the United States is a growing public health concern associated with poor quality of life, increased mortality, higher readmission rates, and loss of in...

Abstract Background EUPATI Spain and EURORDIS have implemented a patient engagement model in health product research and development (R&D): international, independent Community Advisory Boards (CABs), where patients coll...

Fast and accurate identification of skin lesions is important for the outcome of patients. The evaluation of lesions is subjective, and poor quality images may limit accuracy. Deep learning models can be an alternative; ...

Abstract Background Impaired upper extremity (UE) function is a major contributor to disability after stroke. Combining robotic devices with functional electrical stimulation (FES) has emerged as a promising hybrid appro...

IntroductionFlood risk assessment has become increasingly important in regions vulnerable to climate-induced disasters. This study addresses the need for a robust decision-support framework by proposing a hybrid multi-cr...

Abstract Background The basic sex form in bitter gourd is monoecious, characterized by a high male: female flower sex ratio of approximately 15:1. However, gynoecious and predominantly gynoecious lines have recently been...

Abstract Understanding human emotions across multiple modalities such as text and images, is increasingly important for applications including content personalization, social media analysis, and Human–Computer Interact...

Abstract Background The exponential rise in colorectal cancer surgeries among older adults combined with 30-day readmission rates as high as 25% highlights the crucial need to optimize post-discharge care. While geriatri...

Abstract Complex quantum simulation workflows are often hindered by incompatible wavefunction representations adopted across different algorithmic frameworks. In particular, the mismatch between the first- and second-qua...

INTRODUCTION: With the deepening of China's "Dual Carbon" goals, the scale of photovoltaic (PV) installations continues to expand, placing stringent requirements on the accuracy, scenario adaptability, and robustness of ...

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...

Using historical data from blasting operations of open-pit mines to predict the average rock fragment size is crucial for optimizing blasting parameters. However, existing methods face 3 major challenges: interference fr...

The paper analyzes the existing non-invasive methods and tools for measuring and monitoring heart rate (HR), glucose saturation and human blood glucose level (BGL), shows ways of improving them to increase accuracy and e...