Vijaypal Singh Dhaka

Orcid: 0000-0003-2578-6874

According to our database1, Vijaypal Singh Dhaka authored at least 38 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Forecasting of mobile network traffic and spatio-temporal analysis using modLSTM.
Mach. Learn., April, 2024

SAR images change detection using proposed lamina attention-based noise-resistant UNet advance network (LANRUNet++).
Digit. Signal Process., 2024

2023
Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments.
Comput., December, 2023

CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge.
Eng. Appl. Artif. Intell., November, 2023

Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues.
Phys. Commun., October, 2023

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review.
Sensors, September, 2023

ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals.
Biomed. Signal Process. Control., July, 2023

Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea.
Sensors, 2023

Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model.
Big Data Cogn. Comput., 2023

Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views.
IEEE Access, 2023

AI-Driven Agriculture: Opportunities and Challenges.
Proceedings of the IEEE International Conference on Big Data, 2023

A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of Dyes.
Proceedings of the IEEE International Conference on Big Data, 2023

Crop Loss Estimation in Maize Agriculture: A Deep Learning Perspective.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Applying deep learning-based multi-modal for detection of coronavirus.
Multim. Syst., 2022

A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs.
Intell. Syst. Appl., 2022

Advances on networked ehealth information access and sharing: Status, challenges and prospects.
Comput. Networks, 2022

KUB-UNet: Segmentation of Organs of Urinary System from a KUB X-ray Image.
Comput. Methods Programs Biomed., 2022

Spatial feature and resolution maximization GAN for bone suppression in chest radiographs.
Comput. Methods Programs Biomed., 2022

Video based human crowd analysis using machine learning: a survey.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Machine Learning Model for Multi-View Visualization of Medical Images.
Comput. J., 2022

Systematic Survey on Visually Meaningful Image Encryption Techniques.
IEEE Access, 2022

2021
IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet.
Sensors, 2021

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases.
Sensors, 2021

Intelligent and Adaptive Web Page Recommender System.
Int. J. Web Serv. Res., 2021

A deep learning model for mass screening of COVID-19.
Int. J. Imaging Syst. Technol., 2021

Offline script recognition from handwritten and printed multilingual documents: a survey.
Int. J. Document Anal. Recognit., 2021

Conversion of two dimensional images into multi-view images of bone using deep learning.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Deep Learning-Based Tool for Automatic Feature Marking, Cropping, Visualization, and Classification of Chest Radiographs.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Deep Learning Technique for Image Colorization.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Applying GA-SVM for Optimizing Statistical and Semantic Features in Document Classification.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Deep Learning Driven System to Analyze Reliability of COVID Infodemic and News Articles.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Seeds Classification and Quality Testing Using Deep Learning and YOLO v5.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

Handwritten Character Recognition using Deep Neural Networks.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

2020
Segmentation of handwritten words using structured support vector machine.
Pattern Anal. Appl., 2020

Transforming view of medical images using deep learning.
Neural Comput. Appl., 2020

Optimized contrast enhancement for tumor detection.
Int. J. Imaging Syst. Technol., 2020

2010
Enhancing the Authentication of Bank Cheque Signatures by Implementing Automated System Using Recurrent Neural Network
CoRR, 2010

Performance evaluation of MLP and RBF feed forward neural network for the recognition of off-line handwritten characters.
Proceedings of the Second International Conference on Digital Image Processing, 2010


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