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Integrating Deep and Shallow Models for Multi-Modal Depression Analysis-Hybrid Architectures

IEEE transactions on affective computing, 2021-01, Vol.12 (1), p.239-253

2021

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Mathematics of Deep Learning: An Introduction

1, 2023

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Air quality index prediction using multivariate deep neural networks: A case study of a proposed state capital in India

Journal of air pollution and health, 2023-10, Vol.8 (3)

2023

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Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-11

2024

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Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.5144-5155

2021

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Neural network‐based models versus empirical models for the prediction of axial load‐carrying capacities of FRP‐reinforced circular concrete columns

Structural concrete : journal of the FIB, 2024-04, Vol.25 (2), p.1148-1164

2024

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Space-Time-Coding Digital Metasurface Element Design Based on State Recognition and Mapping Methods With CNN-LSTM-DNN

IEEE transactions on antennas and propagation, 2024-06, Vol.72 (6), p.4962-4975

2024

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Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices

Neural computing & applications, 2019-11, Vol.31 (11), p.8101-8116

2019

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Complexity-Aware Layer-Wise Mixed-Precision Schemes with SQNR-Based Fast Analysis

IEEE access, 2023-01, Vol.11, p.1-1

2023

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ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples

IEEE access, 2022, Vol.10, p.33602-33615

2022

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ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Scientific reports, 2018-12, Vol.8 (1), p.17593-13, Article 17593

2018

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Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

IEEE transactions on pattern analysis and machine intelligence, 2022-06, Vol.44 (6), p.3048-3068

2022

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The Ramifications of Making Deep Neural Networks Compact

2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID), 2019, p.215-220

2019

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Towards Optimal Power Control via Ensembling Deep Neural Networks

IEEE transactions on communications, 2020-03, Vol.68 (3), p.1760-1776

2020

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A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images

Biomedical signal processing and control, 2022-01, Vol.71, p.103182-103182, Article 103182

2022

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Deep Fuzzy Hashing Network for Efficient Image Retrieval

IEEE transactions on fuzzy systems, 2021-01, Vol.29 (1), p.166-176

2021

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The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt

The Science of the total environment, 2020-11, Vol.743, p.140770-140770, Article 140770

2020

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Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

IEEE transaction on neural networks and learning systems, 2020-10, Vol.31 (10), p.4229-4238

2020

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Software Vulnerability Detection Using Deep Neural Networks: A Survey

Proceedings of the IEEE, 2020-10, Vol.108 (10), p.1825-1848

2020

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Adversarial Examples: Attacks and Defenses for Deep Learning

IEEE transaction on neural networks and learning systems, 2019-09, Vol.30 (9), p.2805-2824

2019

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Extreme Learning Machine for Multilayer Perceptron

IEEE transaction on neural networks and learning systems, 2016-04, Vol.27 (4), p.809-821

2016

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XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks

IEEE journal of solid-state circuits, 2020-06, Vol.55 (6), p.1733-1743

2020

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Community detection‐based deep neural network architectures: A fully automated framework based on Likert‐scale data

Mathematical methods in the applied sciences, 2020-09, Vol.43 (14), p.8290-8301

2020

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Novel Differential r-Vectors for Localization in IoT Networks

IEEE sensors letters, 2021-06, Vol.5 (6), p.1-4

2021

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Deep learning approach for active classification of electrocardiogram signals

Information sciences, 2016-06, Vol.345, p.340-354

2016

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Integrating Deep and Shallow Models for Multi-Modal Depression Analysis-Hybrid Architectures

Mathematics of Deep Learning: An Introduction

Air quality index prediction using multivariate deep neural networks: A case study of a proposed state capital in India

Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery

Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique

Neural network‐based models versus empirical models for the prediction of axial load‐carrying capacities of FRP‐reinforced circular concrete columns

Space-Time-Coding Digital Metasurface Element Design Based on State Recognition and Mapping Methods With CNN-LSTM-DNN

Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices

Complexity-Aware Layer-Wise Mixed-Precision Schemes with SQNR-Based Fast Analysis

ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

The Ramifications of Making Deep Neural Networks Compact

Towards Optimal Power Control via Ensembling Deep Neural Networks

A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images

Deep Fuzzy Hashing Network for Efficient Image Retrieval

The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Software Vulnerability Detection Using Deep Neural Networks: A Survey

Adversarial Examples: Attacks and Defenses for Deep Learning

Extreme Learning Machine for Multilayer Perceptron

XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks

Community detection‐based deep neural network architectures: A fully automated framework based on Likert‐scale data

Novel Differential r-Vectors for Localization in IoT Networks

Deep learning approach for active classification of electrocardiogram signals

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