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This study compares traditional and digital learning methods in developing design and visualization skills among fourth-year architecture students at a private higher education institution in Cebu City, Philippines. It f...

Background and Objectives: The driving forces of productivity-oriented design management in architecture and urban planning offices, as a novel approach to improving project performance, focus on identifying and analyzin...

Abstract This study aimed to compare the similarities, physicochemical properties, and muscle fiber characteristics of porcine skeletal muscles. Fourteen types of muscles were collected from nine pig carcasses at 24 h po...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Abstract The transformer architecture has demonstrated significant performance in image super-resolution (SR). However, for existing Transformer-based models, there are common drawbacks. They often fall short in local fe...

Abstract Medical picture categorization has been greatly enhanced by the use of deep learning, especially in the timely identification of skin lesions. Still, predictions from a single model remain unreliable due to thei...

Time series analysis is essential for finance, transportation, energy, healthcare, and climate research. While time-frequency domain representation underpins effective time series modeling, its holistic utilization and i...

ABSTRACT Deep learning profoundly impacts various areas, such as face recognition and language translation. Owing to the increasingly high computational costs of training neural architectures, it is intractable to manual...

The rock-cut heritage of the Kayseri Valleys represents a distinctive vernacular tradition shaped by technological skill, social practices, and environmental adaptation. These systems, evolving from carved spaces to maso...

This work presents a novel Field Programmable Gate Array (FPGA)-based architecture for encrypting telemetry together with high-definition video data in unmanned aerial vehicles (UAVs). The design uses the Advanced Encryp...

Abstract A LiDAR architecture for autonomous cars is presented and validated by numerical and experimental results. The proposed scheme is based on indirect time-of-flight principle based on continuous-wave pseudorandom ...

In this chapter, we will focus on a specific X‐raybased technique among those employed in surface science and which is especially suitable for the study of self‐assembled nanocrystals: Grazing Incidence Small Angle X...

Emphasizing the concentric relationship between the tectonics of Earth and the tectonics of architecture, this study argues that design ideas generated through this interaction have the potential to produce spatial const...

Artificial intelligence's capability is rapidly increasing, and the aerospace industry must capitalize on this computing revolution. The current study conducts an integrative literature review to identify current and pot...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/out...

Within the context of learning, there poses difficulty when objectively measuring human performance. In this work, we investigate the evaluation of human performance via its relation to the individual's mental capacity b...

Abstract Architecture today faces urgent demands for sustainable transformation in the context of climate change and ecological crisis. A central challenge lies not only in improving material performance or reducing emis...

Abstract This study investigates the influence of graphene nanoparticle (GNP) reinforcement on the fatigue behavior of textile structural composites with unidirectional (UD), two-dimensional (2D) satin, and three-dimensi...

This paper introduces Omega, the Ocean Model for E3SM Global Applications. Omega is a new ocean model designed to run efficiently on high performance computing (HPC) platforms, including exascale heterogeneous architect...

In the Malaysian concurrent tyre retailing industry, most of the business activities are carried out in the traditional labour-intensive ways. This manual process is prone to inefficiencies, increases operating costs and...

Abstract With the increasing performance requirements for data acquisition in applications such as the Internet of things and artificial intelligence, analog-to-digital converters (ADCs) face stringent trade-offs among s...

After reading this issue of VLC#13.1, it becomes apparent that, little by little, the magazine is helping to build knowledge around a series of recurring themes of interest, such as the links between architecture and the...