!!Research output per year
!!Research output per year
Perfil personal
About
Helen Dang is a Professor of Computer Science at Molloy University. Before that she was a research scientist at Umass Boston for many years. She earned PhDs in Computer Science (2010) and Business Administration (2013). She is the author or editor of six books and about 60 scientific papers. In addition, she is a PI/Co-PI or member of many national, ministerial, and corporate projects to solve real-world problems using computer science and artificial intelligence (AI). Her research interests include AI, Machine Learning, Deep Learning, Big Data analytics and some healthcare problems.
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Aggregated Approach for Interstitial Lung Diseases Classification Using Attention Based CNN and Radial Basis Function Neural Network
Kumarganesh, S., Shree, K. V. M., Rishabavarthani, P., Ganesh, C., Anthoniraj, S., Thiyaneswaran, B., Dang, L., Sagayam, K. M., Dinh, L. & Dang, H., dic 2025, En: Systems and Soft Computing. 7, 200228.Producción científica: Article › revisión exhaustiva
Acceso abierto -
An efficient model using deep convolutional neural networks for modeling underwater images
Chrispin Jiji, A., Bessant, Y. R. A., Sagayam, K. M., Jone, A. A., Dinh, L. & Dang, H., abr 19 2025, En: Evolutionary Intelligence. 18, 3, 51.Producción científica: Article › revisión exhaustiva
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A Novel lightweight secure routing mechanism using Deep Reinforcement Learning for Body Area Sensor Networks
Jagannath, D. J., Sagayam, K. M., Dolly, D. R. J., Peter, J. D., Dinh, L. & Dang, H., 2025, En: Journal of Information Hiding and Multimedia Signal Processing. 16, 2, p. 525-540 16 p.Producción científica: Article › revisión exhaustiva
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Empowering Dysarthric Communication: Hybrid Transformer-CTC based Speech Recognition System
Vinotha, R., Hepsiba, D., Anand, L. D. V., Bruntha, P. M., Dinh, L. & Dang, H., may 8 2025, En: IEEE Access. 13, p. 82479-82491 13 p.Producción científica: Article › revisión exhaustiva
Acceso abierto -
Enhancing pancreatic cancer detection through RIDT-RLC: A robust ensemble approach with gradient descent logit boosting
Murugan, K., Kumarganesh, S., Sagayam, K. M. & Dang, H., sept 2025, En: Computers in Biology and Medicine. 196, 110857.Producción científica: Article › revisión exhaustiva
Prensa/Medios de comunicación
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Faculty of Computer Science and Engineering Reports Findings in Meningeal Neoplasms (Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform)
9/18/23
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación: Research