Review of tool condition monitoring in machining and opportunities for deep learning
Tool condition monitoring and machine tool diagnostics are performed using advanced
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
sensors and computational intelligence to predict and avoid adverse conditions for cutting …
[PDF][PDF] A systematic review on sequence-to-sequence learning with neural network and its models.
H Yousuf, M Lahzi, SA Salloum… - International Journal of …, 2021 - researchgate.net
We develop a precise writing survey on sequence-to-sequence learning with neural network
and its models. The primary aim of this report is to enhance the knowledge of the sequence …
and its models. The primary aim of this report is to enhance the knowledge of the sequence …
GRU-based deep learning approach for network intrusion alert prediction
The exponential growth in the number of cyber attacks in the recent past has necessitated
active research on network intrusion detection, prediction and mitigation systems. While …
active research on network intrusion detection, prediction and mitigation systems. While …
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
I Zafar, S Anwar, W Yousaf, FU Nisa, T Kausar… - … Signal Processing and …, 2023 - Elsevier
The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …
of biological and physiological data, which present opportunities for understanding human …
Designing a robust and accurate model for consumer-centric short-term load forecasting in microgrid environment
The consumer's short-term load forecasting plays an essential role in microgrid energy
distribution. However, the load forecasting at consumer level is more challenging than at …
distribution. However, the load forecasting at consumer level is more challenging than at …
State-of-charge estimation hybrid method for lithium-ion batteries using BiGRU and AM co-modified Seq2Seq network and H-infinity filter
P Kuang, F Zhou, S Xu, K Li, X Xu - Energy, 2024 - Elsevier
Accurate battery state of charge (SOC) estimation can provide guarantee for safety and
guide the use and maintenance of power battery. A novel SOC estimation hybrid method …
guide the use and maintenance of power battery. A novel SOC estimation hybrid method …
Evaluation of operating state for smart electricity meters based on transformer–encoder–BiLSTM
The reliable operating state of smart electricity meters is significant in industrial applications.
Faulty meters or meters in a poor measurement state will seriously impact both customers …
Faulty meters or meters in a poor measurement state will seriously impact both customers …
Energy-efficient control of mobile processors based on long short-term memory
J Lee, S Nam, S Park - IEEE Access, 2019 - ieeexplore.ieee.org
Smartphones that are equipped with high-clock frequency and multi-core processors are
being commercially released to provide various services. As the number of cores and the …
being commercially released to provide various services. As the number of cores and the …
Collaborative learning using LSTM-RNN for personalized recommendation
Today, the ability to track users' sequence of online activities, makes identifying their
evolving preferences for recommendation practicable. However, despite the myriad of …
evolving preferences for recommendation practicable. However, despite the myriad of …
A French to English language translator using recurrent neural network with attention mechanism
A Sharma, PS Banerjee, A Sharma, A Yadav - … Circuits and Communication …, 2020 - Springer
In today's world there are many people who are facing the problem of language translator for
ex: talking to a person who only knows a language which you do not understand or you …
ex: talking to a person who only knows a language which you do not understand or you …