The domains of logistics and transportation have long been interested in the optimization of
flight paths between cities. This research aims to use Skyscanner data to estimate the …

Featured Application In this study, we designed a highly available animal behavior analysis
platform that can help researchers significantly improve their work efficiency. In addition, the …

Human-wildlife conflict denotes the harmful interactions occurring between wild animals and
humans, leading to adverse impacts on individuals, their resources, or the wildlife and their …

The main goal of this strategy is to detect the occurrence of wild animals in farmsteads and
human habitats using an improved deep learning in order to avoid loss of life and damage to …

The Animal Voice Recognition system has become an important application in the field of
animal sound retrieval and classification; it is highly beneficial for applications involving bio …

Cryptocurrency price prediction is a complex and dynamic task. Cryptocurrencies are highly
volatile digital assets impacted by a wide range of variables, including investor mood …

In this research, a method for improving supply chain management transport routing
decisions is developed. It made use of reinforcement learning, more especially the Advan …

Lung and colon cancers are significant health issues across the world, prompting the need
for inventive methods of diagnosis. This study takes the lead in introducing advanced Deep …

In recent years, the issue of homelessness has gained significant attention as societies
grapple with finding solutions to alleviate the plight of those without stable shelter. To …

Intelligent security systems require robust capabilities for weapon detection and
classification. This study employs the Xception architecture, leveraging its unique features …