In this research, we introduce an innovative saliency detection algorithm, comprising three essential steps. Firstly, leveraging fully convolutional networks with aggregation interaction modules, we generate an initia...
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Multi-target multi-camera tracking plays a crucial role in intelligent traffic surveillance systems due to its broad application domain. This study investigates the integration and performance of the YOLOv9 object det...
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In areas that are close to forests, human-wildlife conflict poses serious threats to both human life and property. In order to detect and categorise animals in real-time CCTV camera video feeds, this study presents an...
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A revolution in farming is taking place all over the world thanks to precision agriculture, which makes use of machine learning (ML) and the Internet of Things (IoT). The combination of machine learning algorithms and...
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The abstract Data security is of most importance, in the present day- the introduction of high-level wireless communication channels has led to generation and transfer of massive amounts of data. Data security must ke...
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The microgrid (MG) is becoming an extensive area of research for different applications integrating Photo-Voltaic (PV) solar system, a Battery Energy Storage System (BESS), and an Energy Management System (EMS). To un...
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Serial peripheral interface, a term originally coined by Motorola in the 1980s, serves as a protocol facilitating the communication of serial synchronous data between a master device, often a microcontroller, and vari...
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This study explores the impact of three varied body postures-sitting, standing, and upper-body movement on human memory using functional near-infrared spectroscopy (fNIRS) based brain- computer interface (BCI). The st...
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In the world of 6G networks, the merging of micro-services-oriented designing and intelligent network management demonstrates the central role of neural networks (AI), machine learning (ML), and supervised learning (D...
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Common medical short text intention recognition When extracting local information, Convolutional neural network is better than other neural networks, but Convolutional neural network can't consider the whole situa...
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