Results 11 to 20 of about 38,453 (306)

Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids

IEEE Access, 2022
Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss.
Pamir, Nadeem Javaid, Umar Qasim, Adamu Sani Yahaya, Eman H. Alkhammash, Myriam Hadjouni   +5 more
doaj   +2 more sources

An Improved Bidirectional Gated Recurrent Unit Method for Accurate State-of-Charge Estimation

IEEE Access, 2021
State-of-Charge (SOC) estimation of lithium-ion batteries have a great significance for ensuring the safety and reliability of battery management systems in electrical vehicle.
Zhaowei Zhang, Zhekang Dong, Huipin Lin, Zhiwei He, Minghao Wang, Yufei He, Xiang Gao, Mingyu Gao   +7 more
doaj   +2 more sources

Rapid Prediction of Respiratory Motion Based on Bidirectional Gated Recurrent Unit Network [PDF]

IEEE Access, 2020
In chest and abdomen robotic radiosurgery, due to the motion delay of the robotic manipulator, the tumor position tracking process has a period of delay. This delay ultimately affects the accuracy of radiosurgery treatment.
Shumei Yu, Jiateng Wang, Jinguo Liu, Rongchuan Sun, Shaolong Kuang, Lining Sun   +5 more
doaj   +2 more sources

A hybrid AI approach for predicting academic performance in RBE students [PDF]

Frontiers in Artificial Intelligence
Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of machine learning algorithms to predict performance in ...
Willy Gonzales, Zindel Cordero, Carlos D. Abanto-Ramírez, Edgar Tito Susanibar Ramírez, Hasnain Iftikhar, Javier Linkolk López-Gonzales   +5 more
doaj   +2 more sources

Malicious URL Detection Model Based on Bidirectional Gated Recurrent Unit and Attention Mechanism

Applied Sciences, 2022
With the rapid development of Internet technology, numerous malicious URLs have appeared, which bring a large number of security risks. Efficient detection of malicious URLs has become one of the keys for defense against cyber attacks.
Tiefeng Wu, Miao Wang, Yunfang Xi, Zhichao Zhao   +3 more
doaj   +2 more sources

Fake accounts detection system based on bidirectional gated recurrent unit neural network

International Journal of Electrical and Computer Engineering (IJECE), 2022
<span>Online social networks have become the most widely used medium to interact with friends and family, share news and important events or publish daily activities. However, this growing popularity has made social networks a target for suspicious exploitation such as the spreading of misleading or malicious information, making them less ...
Faouzia Benabbou, Hanane Boukhouima, Nawal Sael   +2 more
openaire   +2 more sources

Phishing Website Detection Using Bidirectional Gated Recurrent Unit Model and Feature Selection

Journal of Future Artificial Intelligence and Technologies
Phishing attacks continue to be a significant threat to internet users, necessitating the development of advanced detection systems. This study explores the efficacy of a Bidirectional Gated Recurrent Unit (BiGRU) model combined with feature selection techniques for detecting phishing websites. The dataset used for this research is sourced from the UCI
De Rosal Ignatius Moses Setiadi, Suyud Widiono, Achmad Nuruddin Safriandono, Setyo Budi   +3 more
openaire   +2 more sources

Identifying Essential Proteins by Hybrid Deep Learning Model [PDF]

Jisuanji kexue, 2021
Essential proteins are those proteins that are essential to the viability of the organism.The identification of essential proteins helps to understand the minimum requirements of cell life,discover disease-causing genes and drug targets,and is of great ...
LIU Wen-yang, GUO Yan-bu, LI Wei-hua
doaj   +1 more source

Research on power system fault prediction based on GA-CNN-BiGRU

Frontiers in Energy Research, 2023
Introduction: This paper proposes a power system fault prediction method that utilizes a GA-CNN-BiGRU model. The model combines a genetic algorithm (GA), a convolutional neural network (CNN), and a bi-directional gated recurrent unit network ...
Daohua Zhang, Xinxin Jin, Piao Shi, Piao Shi   +3 more
doaj   +1 more source

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

AIMS Mathematics, 2023
Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment.
Fazeel Abid, Muhammad Alam, Faten S. Alamri , Imran Siddique   +3 more
doaj   +1 more source