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BDN-GWMNN: Internet of Things (IoT) Enabled Secure Smart City Applications

Wireless personal communications, 2021-08, Vol.119 (3), p.2469-2485

2021

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RSSI Based Localization and Tracking in a Spatial Network System using Wireless Sensor Networks

Wireless personal communications, 2022-03, Vol.123 (1), p.879-915

2022

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Efficient tumor volume measurement and segmentation approach for CT image based on twin support vector machines

Neural computing & applications, 2022-05, Vol.34 (9), p.7199-7207

2022

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Multi-Controller Model for Improving the Performance of IoT Networks

Energies (Basel), 2022-11, Vol.15 (22), p.8738

2022

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Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach

IEEE access, 2019, Vol.7, p.30203-30212

2019

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Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks

Information (Basel), 2020-04, Vol.11 (4), p.203

2020

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ECMCRR-MPDNL for Cellular Network Traffic Prediction With Big Data

IEEE access, 2020, Vol.8, p.113419-113428

2020

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Low energy aware communication process in IoT using the green computing approach

IET networks, 2018-07, Vol.7 (4), p.258-264

2018

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A trust-based fuzzy neural network for smart data fusion in internet of things

Computers & electrical engineering, 2021-01, Vol.89, p.106901, Article 106901

2021

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Improved salient object detection using hybrid Convolution Recurrent Neural Network

Expert systems with applications, 2021-03, Vol.166, p.114064, Article 114064

2021

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5G Integrated Spectrum Selection and Spectrum Access using AI-based Frame work for IoT based Sensor Networks

Computer networks (Amsterdam, Netherlands : 1999), 2021-02, Vol.186, p.107649, Article 107649

2021

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Gaussian relevance vector MapReduce-based annealed Glowworm optimization for big medical data scheduling

The Journal of the Operational Research Society, 2022-10, Vol.73 (10), p.2204-2215

2022

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Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator

Journal of healthcare engineering, 2021-10, Vol.2021, p.5912051-13

2021

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Detection of COVID 19 using X-ray Images with Fine-tuned Transfer Learning

Journal of scientific & industrial research (New Delhi, India : 1963), 2023-02, Vol.82 (2)

2023

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Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communications

Neural computing & applications, 2020-10, Vol.32 (20), p.16011-16023

2020

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Deep convolution neural networks learned image classification for early cancer detection using lightweight

Soft computing (Berlin, Germany), 2022-06, Vol.26 (12), p.5937-5943

2022

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Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data

Electronics (Basel), 2021-03, Vol.10 (5), p.554

2021

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Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles

Expert systems, 2022-06, Vol.39 (5), p.n/a

2022

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Deming least square regressed feature selection and Gaussian neuro‐fuzzy multi‐layered data classifier for early COVID prediction

Expert systems, 2022-05, Vol.39 (4), p.e12694-n/a

2022

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Reliable and energy‐efficient emergency transmission in wireless sensor networks

Internet technology letters, 2019-03, Vol.2 (2), p.n/a

2019

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To Identify Visible or Non-visible-Based Vehicular Ad Hoc Networks Using Proposed BBICR Technique

Advances in Computer Communication and Computational Sciences, p.133-142

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Applying Machine Learning to Enhance COVID-19 Prediction and Diagnosis of COVID-19 Treatment Using Convalescent Plasma

Intelligent Computing and Applications, 2022, Vol.315, p.479-489

2022

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Towards Effective Communication Technique for Energy Efficient Internet of Things

International journal of engineering research in Africa (Print), 2016-01, Vol.21, p.184-190

2016

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Emerging Biomedical Health Care System by Using Internet of Things

Journal of biomimetics, biomaterials and biomedical engineering, 2016-01, Vol.27, p.103-112

2016

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Segmentation of Nuclei in Histopathology images using Fully Convolutional Deep Neural Architecture

2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020, p.1-7

2020

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BDN-GWMNN: Internet of Things (IoT) Enabled Secure Smart City Applications

RSSI Based Localization and Tracking in a Spatial Network System using Wireless Sensor Networks

Efficient tumor volume measurement and segmentation approach for CT image based on twin support vector machines

Multi-Controller Model for Improving the Performance of IoT Networks

Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach

Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks

ECMCRR-MPDNL for Cellular Network Traffic Prediction With Big Data

Low energy aware communication process in IoT using the green computing approach

A trust-based fuzzy neural network for smart data fusion in internet of things

Improved salient object detection using hybrid Convolution Recurrent Neural Network

5G Integrated Spectrum Selection and Spectrum Access using AI-based Frame work for IoT based Sensor Networks

Gaussian relevance vector MapReduce-based annealed Glowworm optimization for big medical data scheduling

Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator

Detection of COVID 19 using X-ray Images with Fine-tuned Transfer Learning

Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communications

Deep convolution neural networks learned image classification for early cancer detection using lightweight

Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data

Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles

Deming least square regressed feature selection and Gaussian neuro‐fuzzy multi‐layered data classifier for early COVID prediction

Reliable and energy‐efficient emergency transmission in wireless sensor networks

To Identify Visible or Non-visible-Based Vehicular Ad Hoc Networks Using Proposed BBICR Technique

Applying Machine Learning to Enhance COVID-19 Prediction and Diagnosis of COVID-19 Treatment Using Convalescent Plasma

Towards Effective Communication Technique for Energy Efficient Internet of Things

Emerging Biomedical Health Care System by Using Internet of Things

Segmentation of Nuclei in Histopathology images using Fully Convolutional Deep Neural Architecture

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