Zobrazeno 1 - 10
of 16
pro vyhledávání: '"V. Ramana Murthy Oruganti"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 10444-10458 (2022)
We investigate two neuro-developmental disorders in children– Autism Spectrum Disorder (ASD) and Attention-deficit/hyperactivity disorder (ADHD). Most works in literature have examined these disorders separately, e.g., ASD or ADHD subjects vs healt
Externí odkaz:
https://doaj.org/article/d2921d537d40412caddfe6f3be0a9830
Autor:
Radhika K, V Ramana Murthy Oruganti
Publikováno v:
2022 IEEE Region 10 Symposium (TENSYMP).
Publikováno v:
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON).
Autor:
K Devika, V Ramana Murthy Oruganti
Publikováno v:
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON).
Publikováno v:
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC).
Publikováno v:
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC).
Publikováno v:
2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).
This study investigates the use of automatically derived visual characteristics in recommender systems and offers several novel contributions to the field of video recommendations. Because it is difficult for customers to see all of the videos in ord
Autor:
V Ramana Murthy Oruganti, K. Devika
Publikováno v:
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).
This paper focuses on developing a Machine Learning (ML) framework for classifying neurological disorders using longitudinal Resting State Functional Magnetic Resonance Imaging (rs-fMRI) samples. Neurological disorders considered in this study are Au
Autor:
V Ramana Murthy Oruganti, Radhika K
Publikováno v:
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).
This paper explores the influence of convolutional layer in deep multimodal fusion (intermediate fusion) for the detection of subject-independent stress using physiological signals including Electrocardiogram (ECG) and Electrodermal Activity (EDA). W
Autor:
V Ramana Murthy Oruganti, K. Devika
Publikováno v:
2020 IEEE 17th India Council International Conference (INDICON).
This paper investigates extensively Machine Learning (ML) algorithms for abnormal health conditions using two sessions of Structural Magnetic Resonance Imaging (sMRI) data. First abnormal health condition considered is classification of early MCI (EM