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Design of a shape memory composite(SMC) using 4D printing technology

Sensors and actuators. A. Physical., 2018-11, Vol.283, p.187-195

2018

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Concept of dynamic memory in economics

Communications in nonlinear science & numerical simulation, 2018-02, Vol.55, p.127-145

2018

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Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

Microelectronic engineering, 2018-04, Vol.190, p.44-53

Ielmini, Daniele

2018

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Multimaterial 3D Printed Soft Actuators Powered by Shape Memory Alloy Wires

Sensors and actuators. A. Physical., 2019-05, Vol.290, p.177-189

2019

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Naturally biomimicked smart shape memory hydrogels for biomedical functions

Chemical engineering journal (Lausanne, Switzerland : 1996), 2020-01, Vol.379, p.122430, Article 122430

2020

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Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory

Expert systems with applications, 2018-07, Vol.102, p.158-178

2018

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Progress in shape memory epoxy resins

Reactive & functional polymers, 2013-02, Vol.73 (2), p.421-430

2013

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Using filter banks in Convolutional Neural Networks for texture classification

Pattern recognition letters, 2016-12, Vol.84, p.63-69

2016

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Modeling human memory phenomena in a hybrid event memory system

Cognitive systems research, 2022-09, Vol.75, p.25-35

2022

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How to process P(VDF-TrFE) thin films for controlling short circuits in flexible non-volatile memories

Organic electronics, 2022-06, Vol.105, p.106494, Article 106494

2022

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A Hierarchical Memory Network for Knowledge Tracing

Expert systems with applications, 2021-09, Vol.177, p.114935, Article 114935

2021

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Review on spintronics: Principles and device applications

Journal of magnetism and magnetic materials, 2020-09, Vol.509, p.166711, Article 166711

2020

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Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification

Expert systems with applications, 2023-08, Vol.223, p.119952, Article 119952

2023

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Uprising nano memories: Latest advances in monolithic three dimensional (3D) integrated Flash memories

Microelectronic engineering, 2016-10, Vol.164, p.75-87

Joodaki, Mojtaba

2016

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Photovoltaic power forecasting based LSTM-Convolutional Network

Energy (Oxford), 2019-12, Vol.189, p.116225, Article 116225

2019

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A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

Energy (Oxford), 2021-11, Vol.234, p.121236, Article 121236

2021

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A review of emerging non-volatile memory (NVM) technologies and applications

Solid-state electronics, 2016-11, Vol.125, p.25-38

Chen, An

2016

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Shape memory alloy based 3D printed composite actuators with variable stiffness and large reversible deformation

Sensors and actuators. A. Physical., 2021-04, Vol.321, p.112598, Article 112598

2021

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Readmission prediction using deep learning on electronic health records

Journal of biomedical informatics, 2019-09, Vol.97, p.103256-103256, Article 103256

2019

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A deep learning approach for real-time detection of atrial fibrillation

Expert systems with applications, 2019-01, Vol.115, p.465-473

2019

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Plasticity and learning behavior emulated in a ZnO based transparent artificial synapse

Thin solid films, 2021-11, Vol.737, p.138924, Article 138924

2021

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Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

Journal of hydrology (Amsterdam), 2021-08, Vol.599, p.126350, Article 126350

2021

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Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

Energy (Oxford), 2022-03, Vol.242, p.122964, Article 122964

2022

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Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

Energy (Oxford), 2021-07, Vol.227, p.120492, Article 120492

2021

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The importance of short lag-time in the runoff forecasting model based on long short-term memory

Journal of hydrology (Amsterdam), 2020-10, Vol.589, p.125359, Article 125359

2020

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Design of a shape memory composite(SMC) using 4D printing technology

Concept of dynamic memory in economics

Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

Multimaterial 3D Printed Soft Actuators Powered by Shape Memory Alloy Wires

Naturally biomimicked smart shape memory hydrogels for biomedical functions

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory

Progress in shape memory epoxy resins

Using filter banks in Convolutional Neural Networks for texture classification

Modeling human memory phenomena in a hybrid event memory system

How to process P(VDF-TrFE) thin films for controlling short circuits in flexible non-volatile memories

A Hierarchical Memory Network for Knowledge Tracing

Review on spintronics: Principles and device applications

Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification

Uprising nano memories: Latest advances in monolithic three dimensional (3D) integrated Flash memories

Photovoltaic power forecasting based LSTM-Convolutional Network

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

A review of emerging non-volatile memory (NVM) technologies and applications

Shape memory alloy based 3D printed composite actuators with variable stiffness and large reversible deformation

Readmission prediction using deep learning on electronic health records

A deep learning approach for real-time detection of atrial fibrillation

Plasticity and learning behavior emulated in a ZnO based transparent artificial synapse

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

The importance of short lag-time in the runoff forecasting model based on long short-term memory

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