Kanika Sood

According to our database, Kanika Sood authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HIV Progression and Outcome Prediction to Enhance Patient Matching for Clinical Trials.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Advancing Occupancy Detection through Deep Learning and Sensor Integration.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Supervised Learning for Non-Invasive Pre-Diabetes, Type 1 and Type 2 Diabetes Screening.

Kanika Sood, Azucena Lizbeth Jimenez Martinez

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel.

Rakeshkumar V. Mahto, Kanika Sood, Nathaniel Ruppert

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

Indoor Navigation Assistance System for Visually Impaired with Semantic Segmentation using EdgeTPU.

Victor Tran, Kanika Sood, Kayhan Bakian, Aneesh Reddy Sannapu

Proceedings of the International Conference on Smart Applications, 2023

Machine Learning with Bitcoin Heist Ransomware.

Nurhaliza Hassan, Kanika Sood, Gabriel Suzuki

Proceedings of the International Conference on Smart Applications, 2023

Interpreting Live Video Sign Language and Translate into Text.

Steven Rico, Kanika Sood, Kevin Hsu, Ethan Trinh

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

A Deep Learning Approach for the Classification of Tuberculosis and Pneumonia Using NIH Dataset.

Bharti Moryani, Kanika Sood, Kirti Chaudhary

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Human Activity Recognition Using Ambient Sensors.

Kunal Chhatrapati, Kanika Sood, Purva Surve

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Harnessing the Power of Neural Networks for Predicting Shading.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

Speech emotion recognition for psychotherapy: an analysis of traditional machine learning and deep learning techniques.

Nidhi Shah, Kanika Sood, Jayraj Arora

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Detecting Hate Speech on Social Media with Respect to Adolescent Vulnerability.

Anna Chiu, Kanika Sood, Ariadne Rincon, Davina Doran

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Predictive Analytics for Real Estate During COVID-19 Pandemic.

Kanika Sood, Sijie Shang, Nima Nijad

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Risk Estimate of Complications in Type 2 Diabetes Using Ensemble Learning and Deep Learning.

Kanika Sood, Aneesh Reddy Sannapu

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Partial Shading and Fault Simulation Dataset of Photovoltaics Module.

Kanika Sood, Nate Ruppert, Rakeshkumar V. Mahto

Dataset, October, 2022

COVID-19 Epidemic Forecast using Machine Learning Regression Techniques.

Merin Joseph, Kanika Sood, Tianhao Shen

Proceedings of the International Conference on Smart Applications, 2022

Risk-Based Breast Cancer Prognosis Using Minimal Patient Characteristics.

Kanika Sood, Prathyusha Gundlapally

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2020

Understanding the landscape of scientific software used on high-performance computing platforms.

A. Grannan, Kanika Sood, Boyana Norris, Anshu Dubey

Int. J. High Perform. Comput. Appl., 2020

2017

Comparative Performance Modeling of Parallel Preconditioned Krylov Methods.

Kanika Sood, Boyana Norris, Elizabeth R. Jessup

Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

2016

Performance-Based Numerical Solver Selection in the Lighthouse Framework.

Elizabeth R. Jessup, Pate Motter, Boyana Norris, Kanika Sood

SIAM J. Sci. Comput., 2016

2015

Lighthouse: an automated solver selection tool.

Pate Motter, Kanika Sood, Elizabeth R. Jessup, Boyana Norris

Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2015

Lighthouse: a taxonomy-based solver selection tool.

Kanika Sood, Boyana Norris, Elizabeth R. Jessup

Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, 2015