Kanika Sood

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Predictive Analytics

Top Venues

Publications

Brennon Hahs, Kanika Sood, Desiree Gomez
A Data-Driven Model for Wildfire Prediction in California. SmartNets (2024)
Rakeshkumar V. Mahto, Kanika Sood
HIV Progression and Outcome Prediction to Enhance Patient Matching for Clinical Trials. CCWC (2024)
Rakeshkumar V. Mahto, Kanika Sood
Advancing Occupancy Detection through Deep Learning and Sensor Integration. CCWC (2024)
Kunal Chhatrapati, Kanika Sood, Purva Surve
Human Activity Recognition Using Ambient Sensors. ISNCC (2023)
Rakeshkumar Mahto, Kanika Sood
Harnessing the Power of Neural Networks for Predicting Shading. GHTC (2023)
Nurhaliza Hassan, Kanika Sood, Gabriel Suzuki
Machine Learning with Bitcoin Heist Ransomware. SmartNets (2023)
Anna Chiu, Kanika Sood, Ariadne Rincon, Davina Doran
Detecting Hate Speech on Social Media with Respect to Adolescent Vulnerability. CCWC (2023)
Bharti Moryani, Kanika Sood, Kirti Chaudhary
A Deep Learning Approach for the Classification of Tuberculosis and Pneumonia Using NIH Dataset. ISNCC (2023)
Rakeshkumar Mahto, Kanika Sood, Nathaniel Ruppert
Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel. UEMCON (2023)
Kanika Sood, Aneesh Reddy Sannapu
Risk Estimate of Complications in Type 2 Diabetes Using Ensemble Learning and Deep Learning. AIIoT (2023)
Kanika Sood, Sijie Shang, Nima Nijad
Predictive Analytics for Real Estate During COVID-19 Pandemic. AIIoT (2023)
Steven Rico, Kanika Sood, Kevin Hsu, Ethan Trinh
Interpreting Live Video Sign Language and Translate into Text. ISNCC (2023)
Victor Tran, Kanika Sood, Kayhan Bakian, Aneesh Reddy Sannapu
Indoor Navigation Assistance System for Visually Impaired with Semantic Segmentation using EdgeTPU. SmartNets (2023)
Kanika Sood, Azucena Lizbeth Jimenez Martinez
Supervised Learning for Non-Invasive Pre-Diabetes, Type 1 and Type 2 Diabetes Screening. UEMCON (2023)
Nidhi Shah, Kanika Sood, Jayraj Arora
Speech emotion recognition for psychotherapy: an analysis of traditional machine learning and deep learning techniques. CCWC (2023)
Kanika Sood, Prathyusha Gundlapally
Risk-Based Breast Cancer Prognosis Using Minimal Patient Characteristics. ICHI (2022)
Merin Joseph, Kanika Sood, Tianhao Shen
COVID-19 Epidemic Forecast using Machine Learning Regression Techniques. SmartNets (2022)
A. Grannan, Kanika Sood, Boyana Norris, Anshu Dubey
Understanding the landscape of scientific software used on high-performance computing platforms. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
Kanika Sood, Boyana Norris, Elizabeth R. Jessup
Comparative Performance Modeling of Parallel Preconditioned Krylov Methods. HPCC/SmartCity/DSS (2017)
Elizabeth R. Jessup, Pate Motter, Boyana Norris, Kanika Sood
Performance-Based Numerical Solver Selection in the Lighthouse Framework. SIAM J. Sci. Comput. 38 (5) (2016)
Kanika Sood, Boyana Norris, Elizabeth R. Jessup
Lighthouse: a taxonomy-based solver selection tool. SEPS@SPLASH (2015)
Pate Motter, Kanika Sood, Elizabeth R. Jessup, Boyana Norris
Lighthouse: an automated solver selection tool. SE-HPCCSE@SC (2015)