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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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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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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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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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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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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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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

Readmission prediction using deep learning on electronic health records

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

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

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

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

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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