The rapid urbanization phenomenon has introduced multifaceted challenges across various
domains, including housing, transportation, education, health, and the economy. This …

This study introduces a novel deep learning-based approach for classifying poultry audio
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …

The advent of deep learning has revolutionized computer vision, enabling real-time analysis
crucial for traffic management and vehicle identification. This research introduces a system …

In the wake of escalating urban vehicle proliferation, major cities grapple with intensified
traffic congestion, elevated air pollution, and acute scarcity of parking spaces. Addressing …

In response to the issue of short-term fluctuations in photovoltaic (PV) output due to cloud
movement, this paper proposes a method for forecasting short-term PV output based on a …

In day-to-day activities, the advanced technology like Internet of Things (IoT) emerges to
improve the lifestyle of people. In metropolitan cities, real-time parking is the long-lasting …

Accurate Object distance estimation with recognition is essential for various computer vision
(CV) applications, including autonomous vehicles and many military operations. While …

In the context of complex parking environments, vehicle parking space detection faces
challenges such as multi-scale, multi-angle, and occlusion issues, leading to low detection …

An enhanced data analytic framework supported by a flexible and manageable underlying
network infrastructure is vital to maximize the utilization of IoT technology. IoT technology …

Revolutionizing seaport operations is imperative for rapid urbanization in housing,
transportation, education, health, and the economy. For this, the integration of artificial …