Design and Development of a Constant-Temperature Reservoir for a Database-Driven Smart Cultivation System. - Shin Wakitani; Sneha Sharma; Toru Yamamoto (J. Robotics Netw. Artif. Life, 2018)

Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition. - Sneha Sharma; Rinki Gupta; Arun Kumar 007 (J. Ambient Intell. Humaniz. Comput., 2022)

Synergistic Use of Sentinel-1 and Sentinel-2 Images for in-Season Crop Type Classification Using Google Earth Engine and Machine Learning. - Sneha Sharma; Dongryeol Ryu; Sumesh KC; Sun-Gu Lee; Seungtaek Jeong (IGARSS, 2023)

Continuous sign language recognition using isolated signs data and deep transfer learning. - Sneha Sharma; Rinki Gupta; A. Kumar (J. Ambient Intell. Humaniz. Comput., 2023)

Effect of Environment Temperature and Relative Humidity on Thermal Emissivity: Study Case of Mango Fruit. - Panmanas Sirisomboon; Jiraporn Sripinyowanich Jongyingcharoen; Apiwat Junto; Thitima Phanomsophon; Cheewanun Dachoupakan Sirisomboon; Panan Rerngsamran; Dharma Raj Pokhrel; Sneha Sharma; Jetsada Posom; Pimpen Pornchaloempong; Anupun Terdwongwarakul; Prabhas Chongstitvatana (SISY, 2024)

A TinyML solution for an IoT-based communication device for hearing impaired. - Sneha Sharma; Rinki Gupta; Arun Kumar 007 (Expert Syst. Appl., 2024)

COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans. - Kirti Raj Bhatele; Anand Jha; Devanshu Tiwari; Mukta Bhatele; Sneha Sharma; Muktasha R. Mithora; Stuti Singhal (Cogn. Comput., 2024)