In this paper, we design a cooperative UAV maneuver decision-making task and use multi-agent reinforcement learning to solve it. In this task, two UAVs must learn cooperating with each other to defeat a stronger enemy...
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In this paper, novel cancer detection method using Kernel Based Fuzzy Simulation Model (KBFSM) represented with enhanced accuracy of 12%, considering MRI based breast cancer images. Developed framework, as suggested i...
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The Internet of Things, or IoT, has expanded substantially in recent years. Combining IoT and the Internet allows heterogeneous intelligent devices to process real-time data and conduct transactions. Thanks to the Int...
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The semiconductor industry has evolved in technological intricacy, which has rarely been examined. The current study argues that technological development follows the ontological rule to improve the existing features....
This paper deeply discusses the application of artificial intelligence technology in college Chinese teaching, aiming at promoting the modernization transformation of traditional literature education through intellige...
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The Internet of Things (IoT) connects systems, software, cloud computing, activities and could provide new access points for cyber-attacks. Virus attacks and unauthorized downloading are the two main risks to IoT secu...
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In today's fast-paced business environment, making informed decisions is crucial for success. To achieve this, decision-makers are increasingly turning to data-oriented and business intelligence databases. As a re...
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Salient object detection mimics the human visual system, segmenting targets using RGB and thermal infrared images suitable for low-light and occlusion scenarios. This technology faces challenges such as mismatched ima...
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In fields like human-computer interaction, healthcare, and marketing, facial and emotional recognition utilizing machine learning (ML) has found many uses. The primary method used in this study is Convolutional Neural...
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Intention detection and slot filling are two main tasks in the field of natural language understanding in natural language processing. Since the two tasks are highly correlated, the two tasks are often modeled jointly...
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