Buscar recursos académicos

A frequen problem in riau province is the problem of traffic lights at zebra crossing, where  drivers often cross the stop line. Many drivers, especially at traffic lights, cross the stop line, potentially causing conge...

Abstract Autonomous driving systems critically rely on the precise detection of distant, small traffic signs to ensure safe and efficient navigation. Nonetheless, existing detection algorithms are confronted with several...

The dynamic range limitation is intrinsic to conventional RGB cameras, which reduces global contrast and causes the loss of high-frequency details such as textures and edges in complex, dynamic traffic environments (e.g....

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...

ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in ...

Improved street lighting serves many functions and is used in both public and private settings. The prevention of personal and property crime is one of its objectives in public space, which is the main focus of this syst...

Urban analytics has emerged as a transformative tool for addressing the challenges of urbanization and fostering sustainable smart cities. Despite its growing significance, a gap remains in the literature on integrating ...

Modern communication environments ranging from smart mobility infrastructures to digitally integrated health care systems demand adaptable and trustworthy network security. In this situation, software-defined networks (S...

The article addresses the issue of human security in the context of selected phenomena of sexual psychopathology – rape, paedophilia and sex tourism. The research aim was to show how these phenomena affect the subjecti...

Unmanned aerial rotorcraft vehicles have many military, commercial and civil applications. There is a necessity to advance the performance on several ranges of rotorcraft for using these vehicles successfully in the expa...

Abstract This study evaluates the effectiveness of Competence-Based Training in fostering conceptual understanding, skill acquisition, and market opportunities for trainees at Nyamirama Technical Secondary School, Rwanda...

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffi...

Fertilizer production often faces various performance issues that can affect efficiency and productivity. One of the main problems is the instability in the quality of raw materials, which can result in variations in the...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

Antecedentes la frecuencia de accidentes ocupacionales en áreas rurales es alta. Objetivos: Objetivos caracterizar accidentes y lesiones en la actividad ganadera en una población definida (Sarmiento) en la provincia de...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

O presente artigo discute a autoria na rede eletrônica, focando especialmente a questão da memória, do arquivo e do sujeito. À luz da Análise do Discurso de matriz francesa e apoiada no conceito de heterogeneidade e...

In December 2020, the Federal Aviation Administration (FAA) announced the release of a new final rule, permitting operators of small unmanned aircraft systems (sUAS) to perform routine night operations. Public comments t...

Integrated silicon nanophotonics has rapidly established itself as intriguing research field, whose outlets impact numerous facets of daily life. Indeed, nanophotonics has propelled many advances in optoelectronics, info...

IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing datasets often mix benign and malicious traffic within the same ca...