Sonali Agarwal
Orcid: 0000-0001-9083-5033
According to our database1,
Sonali Agarwal
authored at least 86 papers
between 2010 and 2024.
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Bibliography
2024
Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City.
CoRR, 2024
2023
Target-class guided sample length reduction and training set selection of univariate time-series.
Appl. Intell., March, 2023
Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules.
Knowl. Based Syst., 2023
Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming.
Future Gener. Comput. Syst., 2023
A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query.
CoRR, 2023
A Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query.
CoRR, 2023
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules.
CoRR, 2023
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the OITS International Conference on Information Technology, 2023
A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models.
Proceedings of the OITS International Conference on Information Technology, 2023
2022
CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images.
Neural Process. Lett., 2022
RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging.
Mach. Vis. Appl., 2022
BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models.
Mach. Learn., 2022
Turkish J. Electr. Eng. Comput. Sci., 2022
Semantic sensor network ontology based decision support system for forest fire management.
Ecol. Informatics, 2022
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach.
CoRR, 2022
An optimized hybrid solution for IoT based lifestyle disease classification using stress data.
CoRR, 2022
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming.
CoRR, 2022
Artif. Intell. Rev., 2022
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022
2021
Dataset, September, 2021
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation.
Multim. Tools Appl., 2021
Leveraging multifaceted proximity measures among developers in predicting future collaborations to improve the social capital of software projects.
J. Univers. Comput. Sci., 2021
Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM.
Int. J. Pattern Recognit. Artif. Intell., 2021
Design development and performance analysis of distributed least square twin support vector machine for binary classification.
Turkish J. Electr. Eng. Comput. Sci., 2021
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.
CoRR, 2021
A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals.
Big Data, 2021
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks.
Appl. Intell., 2021
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Fruit classification using deep feature maps in the presence of deceptive similar classes.
Proceedings of the International Joint Conference on Neural Networks, 2021
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the Database and Expert Systems Applications, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification.
Proceedings of the Big Data Analytics - 9th International Conference, 2021
2020
Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images.
ACM Trans. Multim. Comput. Commun. Appl., 2020
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD).
Pattern Recognit. Lett., 2020
Performance Analysis of Distributed Computing Frameworks for Big Data Analytics: Hadoop Vs Spark.
Computación y Sistemas, 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images.
CoRR, 2020
Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM.
CoRR, 2020
Fruit classification using deep feature maps in the presence of deceptive similar classes.
CoRR, 2020
CoRR, 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review.
CoRR, 2020
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques.
CoRR, 2020
CoRR, 2020
Proceedings of the Big Data Analytics - 8th International Conference, 2020
2019
Anticounterfeiting in Pharmaceutical Supply Chain by establishing Proof of Ownership.
Proceedings of the TENCON 2019, 2019
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019
Studying Multifaceted Collaboration of OSS Developers and its Impact on their Bug Fixing Performance.
Proceedings of the 7th International Workshop on Quantitative Approaches to Software Quality co-located with 26th Asia-Pacific Software Engineering Conference (APSEC 2019), 2019
2018
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2018
Cardiac Arrhythmia Detection from Single-lead ECG using CNN and LSTM assisted by Oversampling.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Proceedings of the Big Data Analytics - 6th International Conference, 2018
2017
Critical parameter analysis of Vertical Hoeffding Tree for optimized performance using SAMOA.
Int. J. Mach. Learn. Cybern., 2017
Evaluation of Knowledge Gaps in Mathematical Applications of Thermal Image Processing Techniques for Fire Prevention.
ACM Comput. Surv., 2017
Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017
2016
Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine.
Int. J. Image Graph., 2016
Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities.
Adv. Artif. Intell., 2016
Appl. Comput. Intell. Soft Comput., 2016
Proceedings of the 11th International Conference on Industrial and Information Systems, 2016
Proceedings of the 11th International Conference on Industrial and Information Systems, 2016
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2015
A comparison on multi-class classification methods based on least squares twin support vector machine.
Knowl. Based Syst., 2015
An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification.
Int. J. Comput. Intell. Syst., 2015
Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection.
EAI Endorsed Trans. Creative Technol., 2015
Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes.
Adv. Artif. Neural Syst., 2015
Proceedings of the 10th IEEE International Conference on Industrial and Information Systems, 2015
Effect of Corpus Size Selection on Performance of Map-Reduce Based Distributed K-Means for Big Textual Data Clustering.
Proceedings of the Sixth International Conference on Computer and Communication Technology 2015, 2015
Performance enhancement of distributed K-Means clustering for big Data analytics through in-memory computation.
Proceedings of the Eighth International Conference on Contemporary Computing, 2015
Direct acyclic graph based multi-class twin support vector machine for pattern classification.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015
2014
An Emotion Detection System Based on Multi Least Squares Twin Support Vector Machine.
Adv. Artif. Intell., 2014
2012
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012
2010
SVM based context awareness using body area sensor network for pervasive healthcare monitoring.
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, 2010