Results 171 to 180 of about 12,888 (222)
Brain Tumor Classification in MRI Images Using Combined Transfer Learning and Convolutional Neural Networks. [PDF]
Abbas M, Hassan M, Wang RZ, Teng CH.
europepmc +1 more source
Electrified Damage in Motion Systems
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir +2 more
wiley +1 more source
SULBA: A Task-Agnostic Data Augmentation Framework for Deep Learning in Medical Image Analysis. [PDF]
Abe AA, Nyathi M.
europepmc +1 more source
Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley +1 more source
Beyond dose: an occupational health perspective on architecture as an overlooked component of dental radiology exposure in industrial settings. [PDF]
Kamar AAM +6 more
europepmc +1 more source
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley +1 more source
Coherent-resonant netting: disorder-enhanced selectivity from transient wave-like dynamics on biological connectomes. [PDF]
Dolgikh O.
europepmc +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images. [PDF]
Waseem SS, Shaikh S, Hassan SR.
europepmc +1 more source

