Results 41 to 50 of about 10,208 (167)

A Comparative Evaluation of Transformers and Deep Learning Models for Arabic Meter Classification

Applied Sciences
Arabic poetry follows intricate rhythmic patterns known as ‘arūḍ’ (prosody), which makes its automated categorization particularly challenging. While earlier studies primarily relied on conventional machine learning and recurrent neural networks, this ...
A. M. Mutawa, Sai Sruthi
doaj   +1 more source

Research on Power Cable Intrusion Identification Using a GRT-Transformer-Based Distributed Acoustic Sensing (DAS) System

Informatics
To address the high false alarm rate of intrusion detection systems based on distributed acoustic sensing (DAS) for power cables in complex underground environments, an innovative GRT-Transformer multimodal deep learning model is proposed.
Xiaoli Huang, Xingcheng Wang, Han Qin, Zhaoliang Zhou   +3 more
doaj   +1 more source

Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model

Scientific Reports
The proposed cacography-based architecture tuned transformer method prevents novel ransomware email phishing (REP) attacks. Cybercriminals now create ransomware email phishing attacks through deceptive emails and text messages.
S. Abiramasundari, V. Ramaswamy
doaj   +1 more source

Spatial linear transformer and temporal convolution network for traffic flow prediction

Scientific Reports
Accurately obtaining accurate information about the future traffic flow of all roads in the transportation network is essential for traffic management and control applications.
Zhibo Xing, Mingxia Huang, Wentao Li, Dan Peng   +3 more
doaj   +1 more source

Design of Three Phase Solid State Transformer Deployed within Multi-Stage Power Switching Converters

Applied Sciences, 2019
This paper presents a symmetrical topology for the design of solid-state transformer; made up of power switching converters; to replace conventional bulky transformers. The proposed circuitry not only reduces the overall size but also provides power flow
Umair Tahir, Ghulam Abbas, Dan Ovidiu Glavan, Valentina E. Balas, Umar Farooq, Marius M. Balas, Ali Raza, Muhammad Usman Asad, Jason Gu   +8 more
doaj   +1 more source

Study on Muscle Fatigue Classification for Manual Lifting by Fusing sEMG and MMG Signals

Sensors
The manual lifting of heavy loads by personnel is susceptible to the development of muscle fatigue, which, in severe cases, can result in the irreversible impairment of muscle function.
Zheng Wang, Xiaorong Guan, Dingzhe Li, Changlong Jiang, Yu Bai, Dongrui Yang, Long He   +6 more
doaj   +1 more source

Modeling Simulation of Variable Frequency Transformer and Its Analysis

Gong-kuang zidonghua, 2012
Connecting two asynchronous power networks by use of high voltage DC method has problems of harmonic interference, commutation failure, difficult implement of smooth power regulation and so on at present.
YANG Wen-gang, HE Cheng, WANG Fu-liang
doaj  

Early disaster analysis by prediction of deformation trend on pumped storage dam based on intelligent transformer model

Discover Artificial Intelligence
Pumped-storage dams are essential infrastructure for energy management and storage. However, they are vulnerable to deformation due to sudden environmental changes and cyclic stress.
Yu Wang, Xu Wang, Gang Liu
doaj   +1 more source

Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model

Algorithms
Predicting solar power generation is a complex challenge with multiple issues, such as data quality and choice of methods, which are crucial to effectively integrate solar power into power grids and manage photovoltaic plants. This study creates a hybrid
Sebastián Dormido-Canto, Joaquín Rohland, Matías López, Gonzalo Garcia, Ernesto Fabregas, Gonzalo Farias   +5 more
doaj   +1 more source

Research on Vehicle Lane Change Intent Recognition Based on Transformers and Bidirectional Gated Recurrent Units

World Electric Vehicle Journal
In order to quickly and accurately identify the lane changing intention of vehicles, and to deeply consider the time series characteristics of vehicle driving processes and the interactive effects between vehicles, a lane changing intention recognition ...
Dan Zhou, Yujie Chen, Kexing Fan, Qi Bai, Yong Luo, Guodong Xie   +5 more
doaj   +1 more source