Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo +5 more
wiley +1 more source
Sliding Mode Observer with Gain Tuning Method for Passive Interferometric Fiber-Optic Gyroscope. [PDF]
Nunes GFS, Sakamoto JMS.
europepmc +1 more source
Electric activity of the rectosigmoid canal and its relation to rectal and sigmoid electric activity: an evidence of a sphincteric function of the rectosigmoid canal [PDF]
Ahmed Shafik
openalex +1 more source
A Generalized Subclass of Multivalent Functions Related to Sigmoid Function
Gurcharanjit Singh, Gagandeep Singh
openaire +1 more source
Geometry‐Guided Transformer for Monocular 3D Object Detection
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang +4 more
wiley +1 more source
A Case of Ectopic Spleen Transplanted Into the Sigmoid Colon and Pelvic Peritoneum. [PDF]
Liu M, Zhang M, Xiang J, Zhang Y, Liu J.
europepmc +1 more source
Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen +9 more
wiley +1 more source
Management and risk factors for colonic volvulus: retrospective national cohort study. [PDF]
Rasilainen S +15 more
europepmc +1 more source
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang +3 more
wiley +1 more source
Machine Learning Algorithms for Predicting the Impact of Care Burden on the Psychological Well-being of Caregivers for Chronic Kidney Disease Patients. [PDF]
Dalir Z, Nedaei B, Arian M.
europepmc +1 more source

