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Efficient Fire Detection for Uncertain Surveillance Environment

IEEE transactions on industrial informatics, 2019-05, Vol.15 (5), p.3113-3122

2019

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Early fire detection using convolutional neural networks during surveillance for effective disaster management

Neurocomputing (Amsterdam), 2018-05, Vol.288, p.30-42

2018

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Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

IEEE transactions on industrial informatics, 2018-08, Vol.14 (8), p.3679-3689

2018

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Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

IEEE access, 2018-01, Vol.6, p.1155-1166

2018

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Enabling automation and edge intelligence over resource constraint IoT devices for smart home

Neurocomputing (Amsterdam), 2022-06, Vol.491, p.494-506

2022

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Mobile edge computing based QoS optimization in medical healthcare applications

International journal of information management, 2019-04, Vol.45 (2019), p.308-318

2019

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Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1399

2020

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An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2811

2021

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An Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions

ISPRS journal of photogrammetry and remote sensing, 2023-12, Vol.206, p.335-346

2023

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Efficient visual attention based framework for extracting key frames from videos

Signal processing. Image communication, 2013-01, Vol.28 (1), p.34-44

2013

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Convolutional Neural Networks Based Fire Detection in Surveillance Videos

IEEE access, 2018-01, Vol.6, p.18174-18183

2018

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A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

IEEE access, 2020, Vol.8, p.143759-143768

2020

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Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network

Sensors (Basel, Switzerland), 2019-05, Vol.19 (11), p.2472

2019

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Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

IEEE transactions on industrial informatics, 2020-01, Vol.16 (1), p.77-86

2020

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Boosting energy harvesting via deep learning-based renewable power generation prediction

Journal of King Saud University. Science, 2022-04, Vol.34 (3), p.101815, Article 101815

2022

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Sequential attention mechanism for weakly supervised video anomaly detection

Expert systems with applications, 2023-11, Vol.230, p.120599, Article 120599

2023

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Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building

Sensors (Basel, Switzerland), 2020-05, Vol.20 (9), p.2668

2020

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Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

Applied sciences, 2019-10, Vol.9 (20), p.4237

2019

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An omni-scale global–local aware network for shadow extraction in remote sensing imagery

ISPRS journal of photogrammetry and remote sensing, 2022-11, Vol.193, p.29-44

2022

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Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment

IEEE internet of things journal, 2019-12, Vol.6 (6), p.9237-9245

2019

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An enhanced relation-aware global-local attention network for escaping human detection in indoor smoke scenarios

ISPRS journal of photogrammetry and remote sensing, 2022-04, Vol.186, p.140-156

2022

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Deep features-based speech emotion recognition for smart affective services

Multimedia tools and applications, 2019-03, Vol.78 (5), p.5571-5589

2019

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Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1772

2020

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SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs

PloS one, 2017-08, Vol.12 (8), p.e0181707-e0181707

2017

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Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search

PloS one, 2017-08, Vol.12 (8), p.e0183838-e0183838

2017

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Efficient Fire Detection for Uncertain Surveillance Environment

Early fire detection using convolutional neural networks during surveillance for effective disaster management

Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

Enabling automation and edge intelligence over resource constraint IoT devices for smart home

Mobile edge computing based QoS optimization in medical healthcare applications

Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

An Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions

Efficient visual attention based framework for extracting key frames from videos

Convolutional Neural Networks Based Fire Detection in Surveillance Videos

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network

Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

Boosting energy harvesting via deep learning-based renewable power generation prediction

Sequential attention mechanism for weakly supervised video anomaly detection

Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building

Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

An omni-scale global–local aware network for shadow extraction in remote sensing imagery

Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment

An enhanced relation-aware global-local attention network for escaping human detection in indoor smoke scenarios

Deep features-based speech emotion recognition for smart affective services

Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation

SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs

Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search

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