Soumyabrata Dev

Orcid: 0000-0002-0153-1095

According to our database1, Soumyabrata Dev authored at least 105 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
MFCSNet: A Musician-Follower Complex Social Network for Measuring Musical Influence.
Entertain. Comput., January, 2024

On the Use of Virtual Knowledge Graphs to Improve Environmental Sensor Data Accessibility.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM$_{2.5}$ Concentration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Enhancing frame-level student engagement classification through knowledge transfer techniques.
Appl. Intell., 2024

2023
Improving Tourism Analytics From Climate Data Using Knowledge Graphs.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

NeSNet: A Deep Network for Estimating Near-Surface Pollutant Concentrations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DAANet: Dual Attention Aggregating Network for Salient Object Detection.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Measurement of Industrial Smoke Plumes from Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Ontological Modeling of Climate Data to Improve Climate Analytics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Automated Coastline Extraction Using Edge Detection Algorithms.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Performance Comparison of Multispectral Channels for Land Use Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Generative Augmentation for Sky/Cloud Image Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Using Meteosat Cloud Masks for Solar Irradiance Nowcasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Systematic Spatio-Temporal Analysis of Relevant Meteorological Variables for Solar Irradiance Forecasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Transfer Learning for Cloud Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

BiLSTM-BiGRU: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Truly Generative Data Augmentation for Image Segmentation - Case of Cloud Images.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multi Platform-Based Hate Speech Detection.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

On the Impact of Temperature for Precipitation Analysis.
Proceedings of the Evolution in Computational Intelligence, 2023

2022
Singapore Whole sky Nighttime Image SEGmentation Database.
Dataset, May, 2022

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.
IEEE Trans. Biomed. Circuits Syst., 2022

Boosting Climate Analysis With Semantically Uplifted Knowledge Graphs.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Evaluating the Reliability of Air Temperature From ERA5 Reanalysis Data.
IEEE Geosci. Remote. Sens. Lett., 2022

LinkClimate: An interoperable knowledge graph platform for climate data.
Comput. Geosci., 2022

AMDCNet: An attentional multi-directional convolutional network for stereo matching.
Displays, 2022

Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images.
CoRR, 2022

Link Climate: An Interoperable Knowledge Graph Platform for Climate Data.
CoRR, 2022

A semantic web approach to uplift decentralized household energy data.
CoRR, 2022

Frequency-centroid features for word recognition of non-native English speakers.
CoRR, 2022

Analyzing the impact of feature selection on the accuracy of heart disease prediction.
CoRR, 2022

DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs.
CoRR, 2022

A predictive analytics approach for stroke prediction using machine learning and neural networks.
CoRR, 2022

Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

An Explore of Virtual Reality for Awareness of the Climate Change Crisis: A Simulation of Sea Level Rise.
Proceedings of the 8th International Conference of the Immersive Learning Research Network, 2022

Augmenting Weather Sensor Data with Remote Knowledge Graphs.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Publishing Climate Data as Linked Data Via Virtual Knowledge Graphs.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Workflow to Convert Live Atmospheric Sensor Data into Linked Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Efficient Rainfall Prediction Using a Dimensionality Reduction Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

On the Relationship Between Ground- and Satellite-Based Global Horizontal Irradiance.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Identifying the Best Clear Sky Model for the Delhi-NCR Region.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Confronting challenges of non-formal education: A shift from book-based EFL to tailor-made, experimental syllabi.
Proceedings of the ICBDE'22: The 2022 5th International Conference on Big Data and Education, Shanghai, China, February 26, 2022

On the Use of a Semantic Segmentation Micro-Service in AR Devices for UI Placement.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2022

A Data-Driven Analysis of Formula 1 Car Races Outcome.
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2021
Validating Clustering Frameworks for Electric Load Demand Profiles.
IEEE Trans. Ind. Informatics, 2021

Automated Climate Analyses Using Knowledge Graph.
CoRR, 2021

An Interoperable Open Data Portal for Climate Analysis.
CoRR, 2021

Detecting Blurred Ground-based Sky/Cloud Images.
CoRR, 2021

Graph-based Local Climate Classification in Iran.
CoRR, 2021

Analysis of French Phonetic Idiosyncrasies for Accent Recognition.
CoRR, 2021

Ontology Modeling for Decentralized Household Energy Systems.
CoRR, 2021

Impact of Load Demand Dataset Characteristics on Clustering Validation Indices.
CoRR, 2021

Stereo Matching Based on Visual Sensitive Information.
CoRR, 2021

A Clustering Framework for Residential Electric Demand Profiles.
CoRR, 2021

3D Displays: Their Evolution, Inherent Challenges & Future Perspectives.
CoRR, 2021

An Ontology Model for Climatic Data Analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Impact of Covid19-Induced Lockdown on Air Quality in Ireland.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Using Gans to Augment Data for Cloud Image Segmentation Task.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Extremely-Low Cost Ground-Based Whole Sky Imager.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Identifying Stroke Indicators Using Rough Sets.
IEEE Access, 2020

DDoSNet: A Deep-Learning Model for Detecting Network Attacks.
Proceedings of the 21st IEEE International Symposium on "A World of Wireless, 2020

An Advert Creation System for 3D Product Placements.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Network Anomaly Detection Using LSTM Based Autoencoder.
Proceedings of the Q2SWinet '20: Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2020

Detecting Abnormal Traffic in Large-Scale Networks.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

2019
A Data-Driven Approach for Accurate Rainfall Prediction.
IEEE Trans. Geosci. Remote. Sens., 2019

CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2019

Subjective Quality Assessment of Ground-based Camera Images.
CoRR, 2019

Estimating Solar Irradiance Using Sky Imagers.
CoRR, 2019

Identifying Candidate Spaces for Advert Implantation.
CoRR, 2019

Machine-Learning Techniques for Detecting Attacks in SDN.
CoRR, 2019

Interlinking Heterogeneous Data for Smart Energy Systems.
CoRR, 2019

Multi-label Cloud Segmentation Using a Deep Network.
CoRR, 2019

The ALOS Dataset for Advert Localization in Outdoor Scenes.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

The CASE Dataset of Candidate Spaces for Advert Implantation.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Localizing Adverts in Outdoor Scenes.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

TEST: A Terminology Extraction System for Technology Related Terms.
Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, 2019

Predicting Stroke from Electronic Health Records.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Analyzing Solar Irradiance Variation From GPS and Cameras.
CoRR, 2018

High-Dynamic-Range Imaging for Cloud Segmentation.
CoRR, 2018

An Advert Creation System for Next-Gen Publicity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Potential Low Cost Remote Sensing Using GPS Derived PWV.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Data-Driven Approach to Detect Precipitation from Meteorological Sensor Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Systematic Study of Weather Variables for Rainfall Detection.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

ADNet: A Deep Network for Detecting Adverts.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Rough-Set-Based Color Channel Selection.
IEEE Geosci. Remote. Sens. Lett., 2017

Correlating Satellite Cloud Cover with Sky Cameras.
CoRR, 2017

Analyzing Cloud Optical Properties Using Sky Cameras.
CoRR, 2017

Study of Clear Sky Models for Singapore.
CoRR, 2017

Cloud Radiative Effect Study Using Sky Camera.
CoRR, 2017

Stereoscopic cloud base reconstruction using high-resolution whole sky imagers.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Nighttime sky/cloud image segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Machine Learning Techniques and Applications For Ground-based Image Analysis.
CoRR, 2016

WAHRSIS: A Low-cost, High-resolution Whole Sky Imager With Near-Infrared Capabilities.
CoRR, 2016

Short-term prediction of localized cloud motion using ground-based sky imagers.
CoRR, 2016

Detecting Rainfall Onset Using Sky Images.
CoRR, 2016

Geo-referencing and stereo calibration of ground-based Whole Sky Imagers using the sun trajectory.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

GPS derived PWV for rainfall monitoring.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Estimation of solar irradiance using ground-based whole sky imagers.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Cloud base height estimation using high-resolution whole sky imagers.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Design of low-cost, compact and weather-proof whole sky imagers for high-dynamic-range captures.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Multi-level semantic labeling of Sky/cloud images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Categorization of cloud image patches using an improved texton-based approach.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Systematic study of color spaces and components for the segmentation of sky/cloud images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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