ARCS aims to break the limitations of single algorithms and establish a general scientific paradigm of "Perception-Metric-Control". This paradigm derives from our fundamental research on swarm mission ...
Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...
Abstract: This paper presents an advanced methodology for maritime target identification utilising the latest YOLO-v7 object detection algorithm and Unmanned Aerial Vehicles (UAVs). The study ...
DPKS provides easily accesible data processing and explainable machine learning for omics data. Free software: MIT license Documentation: here. DPKS is a comprehensive python library for statistical ...
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
Following the whirlwind success of our previous exploration into the algorithmic enigmas of coding challenges, it's time to delve into another intriguing puzzle that has garnered attention in coding ...
In the magnetorheological (MR) impact buffer system, the internal or external disturbance of the MR damper is one of the main factors that affect the buffer performance of the system. This study aims ...
Abstract: Dynamic functional connectivity (dFC) analysis using resting-state functional Magnetic Resonance Imaging (rs-fMRI) is currently an advanced technique for capturing the dynamic changes of ...
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