Results 111 to 120 of about 5,451,620 (296)

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie

Complexity, 2018
Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train (HST), owing to the fact that different types of fault signals have similar characteristics in the same frequency range.
Kaiwei Liang, Na Qin, Deqing Huang, Yuanzhe Fu   +3 more
doaj   +1 more source

Bidirectional Grid Long Short-Term Memory (BiGridLSTM): A Method to Address Context-Sensitivity and Vanishing Gradient

Algorithms, 2018
The Recurrent Neural Network (RNN) utilizes dynamically changing time information through time cycles, so it is very suitable for tasks with time sequence characteristics.
Hongxiao Fei, Fengyun Tan
doaj   +1 more source

ChrisLy99/char-rnn-tensorflow: Release of forked char-rnn

, 2020
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using ...
Sung Kim, dbenoot, Alex, ROYA, BigsnarfDude, Baptiste Wicht, Nick, The Gitter Badger, wohnjayne, Jan Zikes, ubergarm, Gaole Meng, Hugo van Kemenade, Norman Heckscher, Sébastien Rombauts, Cody Boisclair, Anant Gupta, Vadim Nikulin, Jap, Brett Naul, Aditya Sharma, Sherjil Ozair, Valentin Malykh, John Parton   +23 more
core   +1 more source

Physical Reservoir Computing Using Microelectromechanical Systems

Advanced Physics Research, EarlyView.
Physical reservoir computing (PRC) transforms micro‐electro‐mechanical (MEMS) sensors into intelligent computing nodes by utilizing their intrinsic nonlinear dynamics and short‐term memory effects. This review surveys recent progress in MEMS‐based reservoir computing, covering its theoretical foundations, device architectures, and applications in ...
Mariam Gada, Nizar Jaber, Nazek El‐Atab   +2 more
wiley   +1 more source

Nanomedicine‐driven innovations in postoperative cancer immunotherapy: Remodeling tumor microenvironment and precision delivery strategies

BMEMat, EarlyView.
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang, Zhuomin Wang, Zhenhua Jin, Ahmed H. Ghonaim, Hengcheng Zhang, Xinyu You, Jinzhuo Ning, Jiaqing Cao, Yang Liu   +8 more
wiley   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Evaluation of precipitation forecasting methods and an advanced lightweight model

Environmental Research Letters
Precipitation forecasting is crucial for warning systems and disaster management. This study focuses on deep learning-based methods and categorizes them into three categories: Recurrent Neural Network (RNN-RNN-RNN), Convolutional Neural Network (CNN-CNN ...
Nan Yang, Chong Wang, Xiaofeng Li
doaj   +1 more source

Recurrent high order neural network modeling for wastewater treatment process

, 2011
Due to the multi-variable, nonlinear, large time delay and strong coupling features of the wastewater treatment process, a recurrent high-order neural network is used to model the key water quality parameters(Chemical Oxygen Demand, Biological Oxygen ...
Yang WW(杨维维), Qiao JF(乔俊飞), Yuan MZ(苑明哲)   +2 more
core  

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source