Buscar recursos académicos

Introduction: The advancement of AI-assisted oral disease diagnosis critically relies on the availability of annotated, high-quality datasets and resilient deep learning architectures. Nevertheless, progress in this doma...

This article examines the structural features of pop cultural narratives in architecture and visual arts, analyzing their aesthetic potential and cultural risks. These narratives are characterized by. the rejection of tr...

This text is based on a section from the author’s dissertation titled Japan and Modern Architecture, 1945–1970. Discourse in the mid-20th-century Europe, examining the ideas about Japanese architecture in Western, ma...

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...

Abstract Despite a proliferation of the United Nations General Assembly high-level meetings on a range of health issues and developmental challenges, global funding continues to flow disproportionately to HIV and materna...

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...

The article examines the effectiveness of the Maritime Security Architecture (MSA) in the Western Indian Ocean Region (WIOR), focusing on how well it addresses traditional, non-traditional, and emerging maritime threats....

The article examines the transformation of relations between central government and regional actors in Ukraine under conditions of full-scale Russian aggression. The research objective is to analyze how the war transform...

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...

Problem: Existing approaches to European security governance remain fragmented, focusing either on traditional deterrence or on sector-specific risk management. Such compartmentalization fails to capture the systemic com...

Artificial intelligence may accelerate the pace of war, but security architecture must also accelerate and deepen at the same pace, building a new generation of capabilities. The real challenge in military artificial ...

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 This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

Foodborne pathogen outbreaks impose a substantial and escalating burden on global public health, food systems, and economies, with the World Health Organization estimating over 600 million illness episodes and 420,000 de...

Abstract With the evolution of interactive art installations towards 4 K/8 K ultra-high-definition streaming and large-scale multi-point interaction, existing 5G networks face challenges in maintaining the "flow state"...

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...

Accurate identification of plant-parasitic nematodes is fundamental to effective crop protection and the maintenance of soil ecosystem integrity. This study integrates morphological characterization with deep learning-ba...

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...

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...

With the continuous expansion of cyberspace boundaries, trust-related security incidents are increasing annually, posing severe challenges to the cyberspace trust system. However, current research mostly focuses on macro...

Abstract Designing colloidal assemblies with molecule-like architectures comprising more than two electronically coupled quantum dots has often required technologically complex, expensive, and top-down nanofabrication. H...

Environmental design professions, such as landscape architecture and urban design, ultimately make statements about how humans live in the world. To reflect more deeply on how we live and therefore how we design, this ar...