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Abstract Objective Current diagnostic paradigms for Crohn’s disease (CD) activity assessment remain fragmented across imaging and laboratory modalities. This study seeks to investigate the diagnostic efficacy of intest...

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...

Abstract Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-base...

Penataran Temple, a cultural heritage site in Blitar Regency, stands as a testament to the pinnacle of past Nusantara civilization. Despite its significance, the protection of Penataran Temple requires optimization. This...

Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...

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...

IntroductionAcute Lymphoblastic Leukemia (ALL) is a hematological malignancy, which is life-threatening and demands rapid and precise diagnosis to either enhance or worsen the survival chances. Traditional diagnostic met...

Zhaoyu Zhang,1,2,* Guangyang Chen,1,3,* Kaiyuan Zheng,4,* Meifang Lin,1,2 Dali Zheng,1 Youguang Lu,1,2 Li Huang,1,3 Xiaohang Chen,1,2 Ruihuan Gan1,2 1Fujian Key Laboratory of Oral Diseases, School...

Abstract Argument annotation in medical drug reviews is a challenging task due to noisy user-generated content, domain-specific terminology, and subjective expressions of medication efficacy and adverse effects. While ar...

Abstract Mechanical engineering structures and structural components are often subjected to cyclic thermomechanical loading which stresses their material beyond its elastic limits well inside the inelastic regime. Depend...

INTRODUCTION: The uneven spatiotemporal distribution of electric vehicle (EV) charging demand and the limitations of traditional methods in adapting to dynamic correlations pose significant challenges to charging infrast...

IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...

Abstract The growing deployment of grid-connected voltage source inverters (GC-VSIs) in the smart grids poses some significant issues that include harmonic distortion, grid impedance fluctuations, nonlinear loading, and ...

The differences between the concepts of “tax planning”, “tax minimization” and “tax optimization” are investigated and it is established that tax minimization is the maximum reduction of all taxes, tax optimi...

In response to the limitations of traditional planning methods for Autonomous Surface Vehicles (ASVs), which heavily rely on predefined map representations and neglect kinematic feasibility, this paper proposes a novel k...

A novel approach to approximately solving the restricted-control LQR problem online is substantiated and applied in two case-studies.  The first example is a one-dimensional system whose exact solution is known.  The o...

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...

In this article, a model-based genetic algorithm is used to determine the optical properties of nanostructured zinc oxide single-sided nano thin films that does not depend on the interference fringes of optical transmiss...

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method whi...

Abstract Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficul...

Abstract Due to the different microstructures caused by the heat source effect, welding joints exhibit significant differences in mechanical properties compared to the base material. Precise characterization of the const...

Remote sensing-derived building footprint data has been widely applied in population mapping. However, nonresidential buildings typically occupy larger areas or volumes, and obtaining building footprint data with type in...

ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...

Artificial intelligence (AI) is increasingly used to design and optimize small molecules. However, most current workflows remain centered on drug-candidate objectives, such as potency, ADMET, and drug-likeness, rather th...