Results 151 to 160 of about 90,690 (297)

Electroencephalography Enables Continuous Decoding of Hand Motion Angles in Polar Coordinates. [PDF]

Cyborg Bionic Syst
Lu X, Chen Y, Li Z, Zhao J, Zhou Y, Wu D, Zhang M.   +6 more
europepmc   +1 more source

Predictive Modeling of Extreme Weather Forecasting Events: an LSTM Approach

Meena P Sarwade, Santhosh A Shinde, Vaishali S. Patil   +2 more
openalex   +1 more source

Integrating Temporal Fluctuations in Crop Growth with Stacked Bidirectional LSTM and 3D CNN Fusion for Enhanced Crop Yield Prediction

, 2023
Venkata Rama Rao Kolipaka, Anupama Namburu   +1 more
openalex   +2 more sources

Online News Popularity Prediction using LSTM and Bi-LSTM

, 2021
Online news has become an apparently essential source of information, capturing the attention of a considerable audience. People are reading and posting news more often online, on websites, blogs, and social media sites such as Facebook and Twitter. The rapid advancement of smart phones, as well as the introduction of other electronic devices, has made
openaire   +1 more source

Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters

Energy Science &Engineering, EarlyView.
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu, Sheng Biao Wang, Da Jiang Wen, Chong‐Yu Song, Kang Zhou   +4 more
wiley   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments. [PDF]

Sensors (Basel)
Li R, Hao Y, Zhang M, Lv Y.
europepmc   +1 more source

Time Series Forecasting on Solar Energy Production Data Using LSTM

, 2023
Kadriye Filiz Balbal, O. Celik, Sebahattin İkikardeş   +2 more
openalex   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Enterprise retail price prediction method based on improved HPO-LSTM algorithm. [PDF]

PLoS One
Zhu W.
europepmc   +1 more source