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Devasena Inupakutika
Devasena Inupakutika
Senior Performance Engineer at Samsung Semiconductor Inc.
Verified email at my.utsa.edu - Homepage
Title
Cited by
Cited by
Year
Uk research software survey 2014
S Hettrick, M Antonioletti, L Carr, N Chue Hong, S Crouch, DC De Roure, ...
Zenodo, 2014
492014
SDR-Fi: Deep-learning-based indoor positioning via software-defined radio
E Schmidt, D Inupakutika, R Mundlamuri, D Akopian
IEEE Access 7, 145784-145797, 2019
232019
Cutting edge: anatomy of BioJS, an open source community for the life sciences
G Yachdav, T Goldberg, S Wilzbach, D Dao, I Shih, S Choudhary, ...
Elife 4, e07009, 2015
232015
Improving adherence to endocrine hormonal therapy among breast cancer patients: Study protocol for a randomized controlled trial
P Chalela, E Munoz, D Inupakutika, S Kaghyan, D Akopian, V Kaklamani, ...
Contemporary clinical trials communications 12, 109-115, 2018
212018
Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop
S Sufi, NC Hong, S Hettrick, M Antonioletti, S Crouch, A Hay, ...
Proceedings of the 1st ACM sigplan workshop on reproducible research …, 2014
132014
Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study
D Inupakutika, S Kaghyan, D Akopian, P Chalela, AG Ramirez
Journal of biomedical informatics 105, 103420, 2020
92020
Machine Learning Methods for Discriminating Strain and Temperature Effects on FBG-Based Sensors
S Sarkar, D Inupakutika, M Banerjee, M Tarhani, M Shadaram
IEEE Photonics Technology Letters 33 (16), 876-879, 2021
72021
Technology-based health promotion: Current state and perspectives in emerging gig economy
J Morales, D Inupakutika, S Kaghyan, D Akopian, Z Yin, M Evans, ...
Biocybernetics and biomedical engineering 39 (3), 825-842, 2019
62019
UK research software survey 2014
S Hettrick, M Antonioletti, L Carr, N Chue Hong, S Crouch, D De Roure, ...
University of Edinburgh on behalf of Software Sustainability Institute, 2015
52015
Integration of NLP and Speech-to-text Applications with Chatbots
D Inupakutika, M Nadim, GR Gunnam, S Kaghyan, D Akopian, P Chalela, ...
Electronic Imaging 2021, 2021
22021
Performance Assessment of mHealth Apps
G Rodriguez, D Inupakutika, S Kaghyan, D Akopian, P Lama, P Chalela, ...
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
22020
Discrimination of Strain and Temperature effects on FBG-based Sensor using Machine Learning
S Sarkar, D Inupakutika, M Banerjee, M Tarhani, MK Eghbal, M Shadaram
2020 IEEE Photonics Conference (IPC), 1-2, 2020
22020
An integration of health tracking sensor applications and elearning environments for cloud-based health promotion campaigns
D Inupakutika, GV Natarajan, S Kaghyan, D Akopian, M Evans, Y Zenong, ...
Electronic Imaging 2018 (6), 114-1-114-8, 2018
22018
Corrigendum to “Improving adherence to endocrine hormonal therapy among breast cancer patients: Study protocol for a randomized controlled trial”[Contemp. Clin. Trials Commun …
P Chalela, E Munoz, D Inupakutika, S Kaghyan, D Akopian, V Kaklamani, ...
Contemporary Clinical Trials Communications 14, 2019
12019
Designing apps interoperable and functional on multiple mobile platforms using google environment
D Inupakutika, C Basutkar, S Kaghyan, D Akopian, P Chalela, ...
Electronic Imaging 2018 (6), 115-1-115-11, 2018
12018
On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study
D Inupakutika, G Rodriguez, D Akopian, P Lama, P Chalela, AG Ramirez
IEEE Access 10, 53208-53224, 2022
2022
PROMOTING ADHERENCE TO HORMONE THERAPY AMONG BREAST CANCER PATIENTS THROUGH MHEALTH AND PATIENT NAVIGATION
P Chalela, V Cortez, A Flores, E Munoz, P Sukumaran, S Sivak, ...
ANNALS OF BEHAVIORAL MEDICINE 56 (SUPP 1), S429-S429, 2022
2022
Chatbot integrated with machine learning deployed in the cloud and performance evaluation
GG Reddy, I Devasena, M Rahul, K Sahak, A David
Electronic Imaging 34, 1-5, 2022
2022
Improving adherence to hormone therapy among breast cancer patients through a mobile app and patient navigation: Preliminary results
P Chalela, E Muhoz, V Cortez, A Flores, P Sukumaran, C Despres, ...
Cancer Epidemiology Biomarkers and Prevention, 2022
2022
Abstract PO-082: Improving adherence to hormone therapy among breast cancer patients through a mobile app and patient navigation: Preliminary results
P Chalela, E Muņoz, V Cortez, A Flores, P Sukumaran, C Despres, ...
Cancer Epidemiology, Biomarkers & Prevention 31 (1_Supplement), PO-082-PO-082, 2022
2022
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