Results 61 to 70 of about 873,018 (176)

Neural-Networks-Based Gold Price Forecasting with Recursive Feature Elimination and Optuna Tuning

Algorithms
Background: Strategic resource planning is crucial for optimizing supply chain management and ensuring efficient operations. This study aims to enhance strategic planning in gold mines by leveraging advanced gold price forecasting models.
Alireza Panahi, Salim Lahmiri
doaj   +1 more source

Classifying Bengali Newspaper Headlines with Advanced Deep Learning Models: LSTM, Bi-LSTM, and Bi-GRU Approaches

, 2023
Reading newspapers is beneficial for people of all ages and the global community. The enjoyment of gathering diverse data from various sources adds to the overall experience.
Alam, Md. Mahbubul, Rafin, Tanvir Ahmed, Hasan, Mohammad Kamrul, Islam, Shoeb Akibul, Ejaz, Md. Sabbir, Mahmud , Nahid   +5 more
core   +1 more source

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, Volume 2, Issue 3, Page 191-203, September 2026.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

AFAgarap/gru-svm v0.3.11-alpha

, 2017
Code implementation of "A Neural Network Architecture Combining Deep Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection" (https://arxiv.org/abs/1709.03082)
Abien Fred Agarap
core   +1 more source

Enhancing E‐Commerce Recommendations Through Review Summarization and Multi‐Embedding Feature Fusion

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT With the rapid growth of e‐commerce, recommender systems have become essential tools for alleviating information overload by providing users with personalized item suggestions that match their preferences. Traditional collaborative filtering approaches have shown strong performance, while they still suffer from data sparsity since they rely ...
Haebin Lim, Seonu Park, Qinglong Li, Xinzhe Li, Jaekyeong Kim   +4 more
wiley   +1 more source

Air Quality Prediction with Bi-Directional Gated Recurrent Unit (Bi-GRU)

Air pollution is a global health concern due to the higher concentration levels of pollutants (PM₂.₅, PM₁₀, SO₂, NO₂, CO, O₃) found in the air. Accurate prediction of the concentration levels plays a crucial part in mitigating public health concerns ...
Abdul Aziz, Nor Hidayati, Majumder, Tahmida, Goh, Michael Kah Ong   +2 more
core   +1 more source

Safety evaluation of the food additive rebaudioside M produced via enzymatic conversion of purified steviol glycosides leaf extracts

EFSA Journal, Volume 24, Issue 9, September 2026.
Abstract The EFSA Panel on Food Additives and Flavourings (FAF Panel) provides a scientific opinion on the safety of a modified manufacturing process for the food additive enzymatically produced steviol glycosides (E 960c). The new process converts purified steviol glycosides extracted from Stevia rebaudiana leaves through enzymatic bioconversion ...
EFSA Panel on Food Additives and Flavourings (FAF), Laurence Castle, Monica Andreassen, Gabriele Aquilina, Maria Lourdes Bastos, Polly Boon, Biagio Fallico, Rex FitzGerald, Maria Jose Frutos Fernandez, Bettina Grasl‐Kraupp, Ursula Gundert‐Remy, Rainer Gürtler, Eric Houdeau, Marcin Kurek, Henriqueta Louro, Patricia Morales, Sabina Passamonti, José Manuel Barat Baviera, Gisela Degen, David Gott, Lieve Herman, Jean‐Charles Leblanc, Peter Moldeus, Ine Waalkens‐Berendsen, Detlef Wölfle, Consuelo Civitella, Samuele di Ciano, Simone Lunardi, Alessandra Tosato, Laura Ruggeri   +29 more
wiley   +1 more source

Multi-task learning based deep neural network for short term power and thermal energy prediction of hybrid PV–Thermal systems

Case Studies in Thermal Engineering
Accurate forecasting of power output and thermal energy in hybrid Photovoltaic–Thermal (PVT) plants is critical for optimising energy management and maximising efficiency. Traditional models often struggle to capture complex temporal dependencies and non-
Noman Mujeeb Khan, Qusay Shihab Hamad, Mohamad Abou Houran, Muhammad Kamran Khan, Muhammad Hamza Zafar, Filippo Sanfilippo   +5 more
doaj   +1 more source

Gender identification for Egyptian Arabic dialect in twitter using deep learning models

Egyptian Informatics Journal, 2020
Although the number of Arabic language writers in social media is increasing, the research work targeting Author Profiling (AP) is at the initial development phase.
Shereen ElSayed, Mona Farouk
doaj   +1 more source

Cryptocurrency Price Prediction Model Using GRU, LSTM and Bi-LSTM Machine Learning Algorithms

Proceedings of the International Conference on Applied Innovations in IT
The rapid rise of cryptocurrencies has indeed created both investment opportunities and forecasting challenges. Accurate predictions of cryptocurrency prices are crucial for traders and financial planners to make informed decisions.
Laila Suwaid Said
doaj   +1 more source