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C
Cong Zhang
H指数:11
被引数:466
浏览量:0
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A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (Thunnus albacares) Distribution Using SHapley Additive exPlanations (SHAP) Analysis
一项比较机器学习研究利用SHapley Additive exPlanations (SHAP)分析，将Light Gradient Boosting Machine (LightGBM)确定为揭示黄鳍金枪鱼(Thunnus albacares)分布环境驱动因素的最优模型。
Machine learning outperforms deep learning in adhesive capsulitis diagnosis: a clinical-radiomics model bridging PD-T2 MRI and multimodal data fusion
机器学习在粘连性关节囊炎诊断中优于深度学习：一种连接PD-T2 MRI和多模态数据融合的临床-放射组学模型
Knockdown of ATF3 Alleviates Ischemic Stroke and Inhibits Ferroptosis via Activating the Keap1/Nrf2/HO-1 Pathway
ATF3的敲低通过激活Keap1/Nrf2/HO-1通路减轻缺血性脑卒中并抑制铁死亡
Proteomic Profiling and Therapeutic Targeting of Oxidative Stress in Autoimmune Encephalitis
自身免疫性脑炎中氧化应激的蛋白质组学分析及治疗靶点研究
A Deep-Learning-Based Detection Method for Small Target Tomato Pests in Insect Traps
一种基于深度学习的捕虫器小目标番茄害虫检测方法
AGRONOMY-BASEL
IF3.4
A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil
农田土壤重金属含量预测的动态神经网络优化模型
IEEE ACCESS
IF3.6
