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寻找中国工业界的“Palantir”：寄云科技的AI破局

2023年以来，生成式AI（GenAI）如同这一轮科技周期的“蒸汽机”，让全球企业陷入了兴奋与焦虑交织的“iPhone时刻”。然而，当大模型的浪潮拍打到工业领域的坚硬岩石上时，许多人发现：ChatGPT能写出优美的诗歌，却很难直接读懂一台离心机的震动 ...

寻找中国工业界的“Palantir”：寄云科技的AI破局与数据征途

2023年以来，生成式AI（GenAI）如同这一轮科技周期的“蒸汽机”，让全球企业陷入了兴奋与焦虑交织的“iPhone时刻”。然而，当大模型的浪潮拍打到工业领域的坚硬岩石上时，许多人发现：ChatGPT能写出优美的诗歌，却很难直接读懂一台离心机的震动曲线；它能通过图灵测试，却无法在复杂的EMS系统中准确判断光伏场站功率下降到底是因为天气原因还是逆变器的故障，抑或是组件应该清洗。
Frontiers

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne ...

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
IEEE

A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle

Abstract: Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables highly ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
Scientific Research Publishing

Hybrid PINN-LSTM Model for River Temperature Prediction: A Physics-Informed Deep Learning ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...
IEEE

Portfolio Research Based on LSTM Model

Abstract: In this paper, the LSTM model is used to predict the stock prices of the top 10 constituents of CSI 300 index and construct a portfolio. The empirical results show that the LSTM model ...