Results 51 to 60 of about 17,724 (252)

Detecting Language Anxiety in Indonesian Students: Deep Learning and Traditional Classification Methods for English Learning Anxiety

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Mastery of the English language represents a fundamental determinant of professional achievement, particularly for individuals seeking to develop their careers and participate in international contexts.
Kemas Muslim Lhaksmana, Muhammad Sya’bani Falif, Iis Kurnia Nurhayati, Muhammad Yudhi Rezaldi, Esa Prakasa, Rickman Roedavan   +5 more
doaj   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Hourly Prediction of Irradiance and Temperature Using Recurrent Neural Networks and Gaussian Process Models

Tecnura
This research applies artificial intelligence techniques to predict physical variables such as irradiance and temperature, addressing the challenge of time series nonlinearity. The main objective is to compare the predictive performance of LSTM, GRU, and
Mónica Yolanda Moreno Revelo, Juan Bernardo Gómez Mendoza, Javier Revelo Fuelagán   +2 more
doaj   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

Adversarial perturbation and bidirectional attention mechanism for few-shot English text classification

Journal of Applied Science and Engineering
In few-shot text classification, how well the query and support sets are encoded largely decides the final accuracy. Yet, most prior methods overlook the pairwise correspondences between them and treat all features as equally important, neglecting the ...
Xianghua Wu
doaj   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

Second observation of Common Crane Grus grus in Senegal

Bulletin of the African Bird Club, 2013
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Volker Salewski, Troels Eske Ortvad, Kasper Thorup   +2 more
openaire   +2 more sources

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Classification of User Expressions on Social Media Using LSTM and GRU Models

Jurnal Sisfokom
Social media serves as a platform for sharing information. Through social media, users can interact with others and express their feelings and emotions. Therefore, emotion analysis plays a crucial role in understanding users' conditions regarding various
I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti   +1 more
doaj   +3 more sources

The genome sequence of the common crane, Grus grus (Linnaeus, 1758)

Wellcome Open Research
We present a genome assembly from a male specimen of Grus grus (common crane; Chordata; Aves; Gruiformes; Gruidae). The assembly contains two haplotypes with total lengths of 1,352.26 megabases and 1,291.08 megabases.
O’Brien, Michelle F., Lopez Colom, Rosa   +1 more
openaire   +2 more sources