Results 41 to 50 of about 6,021 (251)

Contextual Urdu Lemmatization Using Recurrent Neural Network Models

Mathematics, 2023
In the field of natural language processing, machine translation is a colossally developing research area that helps humans communicate more effectively by bridging the linguistic gap.
Rabab Hafeez, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Tayyaba Fatima, Julio César Martínez Espinosa, Luis Alonso Dzul López, Ernesto Bautista Thompson, Imran Ashraf   +7 more
doaj   +1 more source

A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses

Advanced Healthcare Materials, EarlyView.
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang, Charles‐Francois Latchoumane, Avi Chopra, Md Marzan Sarkar, Chunki Kim, Nathan Gonsalves, Hsueh‐Fu Wu, John C. Sentmanat, Alan Liu, Isha Mhatre‐Winters, Aditya Mishra, Andrei G. Fedorov, Jay M. Patel, Nadja Zeltner, Steven L. Stice, Jason R. Richardson, Lohitash Karumbaiah   +16 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction

ICT Express
Energy prediction is an important process in energy management, especially regarding demand response. Energy predictions are often carried out for load forecasting or energy generation forecasting of renewable energy. This paper explains the implementation of multi-variables in the development of recurrence neural network models to predict load energy ...
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi   +2 more
openaire   +2 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification

Journal of King Saud University: Computer and Information Sciences, 2022
Sentiment analysis has been a well-studied research direction in computational linguistics. Deep neural network models, including convolutional neural networks (CNN) and recurrent neural networks (RNN), yield promising results on text classification ...
Aytuğ Onan
doaj   +1 more source

A Bidirectional Gated Recurrent Unit Model for PUE Prediction in Data Centers

2025 International Joint Conference on Neural Networks (IJCNN)
2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, https://ieeexplore.ieee.org/document ...
Dhivya Dharshini Kannan, Anupam Trivedi, Dipti Srinivasan   +2 more
openaire   +2 more sources

Bidirectional gated recurrent unit for improving classification in credit card fraud detection

Indonesian Journal of Electrical Engineering and Computer Science, 2021
<p>In recent years, the use of credit cards around the world has grown enormously. Thus, the number of fraud cases have also increased, resulting in losses of thousands of dollars worldwide. Therefore, it is mandatory to use techniques that are able to assist in the detection of credit card fraud.
Sadgali, Imane, Sael, Nawal, Benabbou, Faouzia   +2 more
openaire   +3 more sources

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Real-Time Efficient Approximation of Nonlinear Fractional-Order PDE Systems via Selective Heterogeneous Ensemble Learning

Fractal and Fractional
Rod-pumping systems represent complex nonlinear systems. Traditional soft-sensing methods used for efficiency prediction in such systems typically rely on complicated fractional-order partial differential equations, severely limiting the real-time ...
Biao Ma, Shimin Dong
doaj   +1 more source