Enhancing bone cancer detection through optimized pre trained deep learning models and explainable AI using the osteosarcoma tumor assessment dataset. [PDF]
Rao BD, Madhavi K.
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Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework
ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
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Bayesian model averaging based deep learning forecasts of inpatient bed occupancy in mental health facilities. [PDF]
Avinash G, Mishra S.
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Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
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Optimizing Fuel Consumption Prediction Model Without an On-Board Diagnostic System in Deep Learning Frameworks. [PDF]
Keskin R, Belge E, Kutoglu SH.
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Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
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Artificial Intelligence and Predictive Modelling for Precision Dosing of Immunosuppressants in Kidney Transplantation. [PDF]
Altynova S +5 more
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Transfer learning-enhanced CNN model for integrative ultrasound and biomarker-based diagnosis of polycystic ovarian disease. [PDF]
Sundari MS +6 more
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Design of an integrated model using U-Net, DeepSurv, and cross-attention for lung cancer classification and survival prediction. [PDF]
Aharonu M, Ramasamy L.
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