Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. [PDF]
Niranjani V, Haldorai A.
europepmc +1 more source
East Bay Energy Consortium Meeting Minutes, October 5, 2009 [PDF]
East Bay Energy Consortium
core +1 more source
Dose rate correction of a diode array for universal wedge field dosimetric verification
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen+6 more
wiley +1 more source
Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola+5 more
wiley +1 more source
Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction. [PDF]
Toderean L+6 more
europepmc +1 more source
Transition Energy Determination for Orbital Capture
P. R. Bell, J. M. Jauch, J. M. Cassidy
openalex +2 more sources
Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash+3 more
wiley +1 more source
Artificial intelligence approach for estimating energy density of liquid metal batteries. [PDF]
Zakerabbasi P+4 more
europepmc +1 more source
Fission of Bismuth, Lead, Thallium, Platinum, and Tantalum with High Energy Particles
I. Perlman+3 more
openalex +2 more sources