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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration
Published 2025-01-01“…In this study, we propose a fruit recognition and evaluation method based on multi-model collaboration. Firstly, the detection model was used to accurately locate and crop the fruit area, and then the cropped image was input into the classification module for detailed classification. …”
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Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
Published 2025-05-01“…The system combines a 2D-CNN module for static solvation state classification, a hybrid 2D/3D-CNN module to capture temporal dynamics, and a BLIP-2-based contextualisation module to generate descriptive captions for solvation behaviours, including vial orientation, solvent discolouration, and polymer interaction states. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics
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Time-dose response and mechanistic specificity of berberine in renal fibrosis from a multi-model integration perspective: a systematic review and meta-analysis on animal models
Published 2025-06-01“…ObjectiveThis research intends to comprehensively evaluate the efficacy of berberine (BBR) and the specificity of its mechanisms of action in different animal models of renal fibrosis through a multi-model integration strategy.MethodsA comprehensive search of animal experimental studies was carried out across 10 different databases, including PubMed, Embase, Web of Science, Scopus, Cochrane Library, SCIELO, CNKI, Wanfang database, CBM and VIP Information Chinese Periodical Service Platform, spanning from their inception up to November 2024. …”
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Moisture-modulated heatwaves: tracking 3D evolution patterns and projected changes
Published 2025-01-01“…Here, we employ a three-dimensional (latitude × longitude × time) connectivity framework to analyze moisture-modulated heatwaves through daily lethal heat stress indices from 1979 to 2023. …”
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DP-AMF: Depth-Prior–Guided Adaptive Multi-Modal and Global–Local Fusion for Single-View 3D Reconstruction
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Combined Wind Power Prediction Method Based on CNN-LSTM&GRU with Adaptive Weights
Published 2022-05-01“…An adaptive weight learning module is employed to select the best weights for the outputs of the CNN-LSTM module and the GRU module. …”
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Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition
Published 2025-06-01“…Our approach leverages the Zhipu.ai multi-model to generate comprehensive textual descriptions of crop leaf diseases, including global description, local lesion description, and color-texture description. …”
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Text Analysis of Digital Commentary on Ice and Snow Tourism Based on Artificial Intelligence and Long Short-Term Memory Neural Network
Published 2025-01-01“…To address these challenges, this study proposes an intelligent sentiment analysis algorithm based on a multi-model fusion approach: the Improved Dynamic Convolutional and Attention-based Bidirectional Long Short-Term Memory Model (IDCAN-BiLSTM). …”
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Attention Mechanism and Weighted Trend Loss for Wind Speed Correction
Published 2025-05-01“…Future work will expand this method to incorporate multi-model ensembles and long-term climate projections. …”
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UIMM-Tracker: IMM-Based with Uncertainty Detection for Video Satellite Infrared Small-Target Tracking
Published 2025-06-01“…Second, a dynamic modulation mechanism is introduced into the Markov transition process of multi-model fusion, enabling the tracking model to autonomously adapt to targets with varying maneuvering states. …”
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Drivers of Future Indian Ocean Warming and Its Spatial Pattern in CMIP Models
Published 2025-04-01“…Here, we investigate the underlying physical mechanisms in 46 CMIP5/6 models using an upper‐ocean heat budget framework that separates surface net air‐sea flux changes into forcing and feedback components. The multi‐model mean (MMM) basin‐averaged warming is primarily driven by reduced evaporative cooling due to weaker surface winds related to reduction of both summer and winter monsoonal circulations and increased near‐surface relative humidity, with inter‐model variations in these parameters controlling warming diversity. …”
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The pivotal regulatory role of the FEV-SLC7A11 axis in ferroptosis elucidates the anti-aging mechanism of β-sitosterol in a cross-species study
Published 2025-08-01“…Preliminary studies in Caenorhabditis elegans (C. elegans) showed that BS modulates intracellular oxidative stress via the transcription factor ETS-5. …”
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