Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Experimental Study: Deep Learning-Based Fall Monitoring Among Older Adults With Skin-Wearable Electronics, Yongkuk Lee, Suresh Pokharel, Asra Al Muslim, Dukka Kc, Kyoung Hag Lee, Woon Hong Yeo
Experimental Study: Deep Learning-Based Fall Monitoring Among Older Adults With Skin-Wearable Electronics, Yongkuk Lee, Suresh Pokharel, Asra Al Muslim, Dukka Kc, Kyoung Hag Lee, Woon Hong Yeo
Michigan Tech Publications
Older adults are more vulnerable to falling due to normal changes due to aging, and their falls are a serious medical risk with high healthcare and societal costs. However, there is a lack of automatic fall detection systems for older adults. This paper reports (1) a wireless, flexible, skin-wearable electronic device for both accurate motion sensing and user comfort, and (2) a deep learning-based classification algorithm for reliable fall detection of older adults. The cost-effective skin-wearable motion monitoring device is designed and fabricated using thin copper films. It includes a six-axis motion sensor and is directly laminated on the skin …
Plmsnosite: An Ensemble-Based Approach For Predicting Protein S-Nitrosylation Sites By Integrating Supervised Word Embedding And Embedding From Pre-Trained Protein Language Model, Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka Kc
Plmsnosite: An Ensemble-Based Approach For Predicting Protein S-Nitrosylation Sites By Integrating Supervised Word Embedding And Embedding From Pre-Trained Protein Language Model, Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka Kc
Michigan Tech Publications
Background: Protein S-nitrosylation (SNO) plays a key role in transferring nitric oxide-mediated signals in both animals and plants and has emerged as an important mechanism for regulating protein functions and cell signaling of all main classes of protein. It is involved in several biological processes including immune response, protein stability, transcription regulation, post translational regulation, DNA damage repair, redox regulation, and is an emerging paradigm of redox signaling for protection against oxidative stress. The development of robust computational tools to predict protein SNO sites would contribute to further interpretation of the pathological and physiological mechanisms of SNO. Results: Using an …
A Non-Reference Evaluation Of Underwater Image Enhancement Methods Using A New Underwater Image Dataset, Ashraf Saleem, Sidike Paheding, Nathir Rawashdeh, Ali Awad, Navjot Kaur
A Non-Reference Evaluation Of Underwater Image Enhancement Methods Using A New Underwater Image Dataset, Ashraf Saleem, Sidike Paheding, Nathir Rawashdeh, Ali Awad, Navjot Kaur
Michigan Tech Publications
The rise of vision-based environmental, marine, and oceanic exploration research highlights the need for supporting underwater image enhancement techniques to help mitigate water effects on images such as blurriness, low color contrast, and poor quality. This paper presents an evaluation of common underwater image enhancement techniques using a new underwater image dataset. The collected dataset is comprised of 100 images of aquatic plants taken at a shallow depth of up to three meters from three different locations in the Great Lake Superior, USA, via a Remotely Operated Vehicle (ROV) equipped with a high-definition RGB camera. In particular, we use our …