Buscar recursos académicos

The perception systems for Traffic Sign Recognition (TSR) and Lane Line Recognition (LLR) are foundational pillars for the safe and effective operation of Advanced Driver-Assistance Systems (ADAS) and fully autonomous ve...

Power electronic systems in autonomous vehicles and mission-critical applications are highly susceptible to overheating due to operational inefficiencies. These systems often rely on liquid cooling loops to maintain safe...

How do living systems sustain communication, identity, and resilience while remaining exposed to disorder and environmental perturbations? How do poly-genomic organisms integrate evolutionary history (including non-genet...

IntroductionAntimicrobial resistance (AMR) is rising globally, particularly among the clinically important ESKAPE pathogens, a group of bacteria responsible for a large number of hospital-acquired infections and known fo...

Abstract IoT devices are increasingly battery-powered, making energy efficiency a primary design concern. This work investigates how Java’s concurrency model (traditional OS threads vs. Virtual Threads) and garbage col...

Abstract Upper-limb prosthesis users usually lack comprehensive feedback or touch. This significantly hinders their ability to interact with their environment and lead normal lives. This research involves the development...

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

BackgroundOver 120 million people are forcibly displaced worldwide, nearly half of them children. Current health responses remain largely emergency-driven, addressing immediate survival needs but overlooking the longer-t...

Sixth-generation (6G) mobile networks are expected to be AI-native by design, with intelligence embedded directly into the Radio Access Network (RAN) control loop through architectures such as O-RAN, near-real-time RAN I...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Abstract This paper presents an intelligent coordinated control framework for a hybrid standalone microgrid integrating solar photovoltaic, wind, and battery energy storage systems. The proposed Radial Basis Function Neu...

With the rapid advancement of online education, students’ sentiment feedback serves as a pivotal factor in enhancing course quality and refining pedagogical strategies. However, conventional sentiment analysis approach...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

This paper presents allocate connections between texts (ACT), a novel three-stage algorithm for the automatic detection of biblical quotations in Rabbinic literature. Unlike existing text reuse frameworks that struggle w...

IntroductionThis study explores the systems-level dynamics of menu transformation in the hospitality and food service (HaFS) sector through participatory action learning (PAL) workshops with professional chefs. Framing t...

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...

This study explores the opportunities and challenges facing African businesses in contributing to the achievement of the United Nations Sustainable Development Goals within the frameworks of Agenda 2030 and Agenda 2063, ...

Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

Human–wildlife relations in alpine ecosystems reflect the combined effects of climate change, land-use transitions, and governance capacity. Rather than focusing solely on local conflict dynamics, this study investigat...

3D printing is transforming soft robotics by enabling complex geometries, rapid iteration, and cofabrication of structure, actuation, and sensing. Central to this progress are functional materials that provide stretchabl...

Brain-inspired neuromorphic computing systems require hardware components analogous to biological neurons and synapses. Honey based natural organic memristor has demonstrated promising nonvolatile memristive behaviors, w...

Abstract Background Despite growing attention to equity and cultural safety in medical education, Indigenous methodologies remain largely absent from the core structure of clinical training in Canada and America. Current...