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Abstract This work introduces a metaheuristic (MH) optimization method, which is inspired by the red-tailed hawks’ predatory behavior is Improved Red-tailed Hawk (IRTHA) Algorithm. The algorithm uses a dynamic adjustme...

Abstract This study presents an integrated low-cost IoT-based evaluation framework assessment of photovoltaic (PV) modules enhanced using low-cost planar reflectors, supported by a custom IoT-based data logging system fo...

Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional ex...

Abstract This study proposes a need-driven framework for the modular design of functional armchairs for young adults living alone. It aims to establish a systematic linkage among user-need priorities, functional organiza...

Abstract Heterogeneous graphs are widely employed in applications such as social networks, recommendation systems, and bioinformatics. However, node attributes in real-world heterogeneous graphs are often missing or corr...

Abstract Epilepsy is a chronic neurological disease that profoundly impacts patients’ daily lives. Electroencephalography (EEG) serves as a crucial tool for the clinical diagnosis of epilepsy and other brain disorders....

Abstract Photo-redox catalysis has emerged as a new generation of biochemical protocols in proximity labeling, noninvasive therapy, ultrafast activation. However, the well-developed photocatalysts cannot simultaneously p...

Abstract This study aims to investigate the influence of parasitic capacitances within half-bridge SiC power metal oxide semiconductor field effect transistor (MOSFET) modules, including input capacitance (Ciss), output ...

Abstract A prompt and precise diagnosis is necessary to lessen the worldwide burden of asthma, a common chronic respiratory condition. Spirometry is one of the resource-intensive conventional methods that frequently misc...

Abstract The high cost and detrimental self-aggregation of conventional single-component fullerenes such as C60 and PCBM constitute a major obstacle to the commercialization of inverted perovskite solar cells (IPSCs). We...

Abstract Joint moments are critical parameters for evaluating human movement, and time-series models are widely used to predict them from biosignals. However, biosignals collected via accelerometers, gyroscopes, and elec...

Abstract Genetic interaction and protein-protein interaction networks have proved among the most important tools for inference of gene function and genotype-phenotype relationship. It remains unclear, however, how these ...

Abstract To improve sketch recognition accuracy, this study proposes an enhanced sketch recognition model based on an improved CycleGAN network and a dual attention mechanism. The proposed model first incorporates multi-...

Abstract Efficient management and optimal allocation of urban public sports facilities represents a critical challenge in modernizing public sports service governance. Current approaches to facility utilization assessmen...