Results 61 to 70 of about 17,207,076 (361)

An efficient hardware architecture for a neural network activation function generator [PDF]

, 2006
This paper proposes an efficient hardware architecture for a function generator suitable for an artificial neural network (ANN). A spline-based approximation function is designed that provides a good trade-off between accuracy and silicon area, whilst ...
B. Widrow, D. Zhang, D.J. Myers, G. Cauwenberghs, H. Amin, H. Faiedh, I. Koren, J. Holt, J. Pineiro, K. Basterretxea, M. Tommiska, S. Draghici, S. Haykins, S. Vassiliadis, U. Ruckert   +14 more
core   +1 more source

Activation Functions: Dive into an optimal activation function

, 2022
Activation functions have come up as one of the essential components of neural networks. The choice of adequate activation function can impact the accuracy of these methods. In this study, we experiment for finding an optimal activation function by defining it as a weighted sum of existing activation functions and then further optimizing these weights ...
openaire   +2 more sources

Fusion activators enhance mitochondrial function

Mitochondrial Communications, 2023
Mitochondria are dynamic organelles that regulate cycles of fusion and fusion to tune their energy output and to respond to cellular damage.1Under homeostatic conditions,mitochondrial fusionand fission are kept in balance to maintain proper mitochondrial morphology and function.
William M. Rosencrans, David C. Chan
openaire   +4 more sources

Hyperspectral Image Denoising With Dual Deep CNN

IEEE Access, 2019
A new hyperspectral image denoising algorithm, called the dual deep convolutional neural network (DD-CNN), is proposed in this paper. In contrast to internal denoising methods that utilize only the features from the target noisy image, the DD-CNN ...
Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He   +4 more
doaj   +1 more source

Dynamic activation and enhanced image contour features for object detection

Connection Science, 2023
Object detection technology is a popular research direction which is widely used in areas such as autonomous driving and medical diagnosis. At this stage mobile devices often have limited storage resources to deploy large object detection networks and ...
Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang   +5 more
doaj   +1 more source

A Simple Quantum Neural Net with a Periodic Activation Function

, 2018
In this paper, we propose a simple neural net that requires only $O(nlog_2k)$ number of qubits and $O(nk)$ quantum gates: Here, $n$ is the number of input parameters, and $k$ is the number of weights applied to these parameters in the proposed neural net.
Daskin, Ammar
core   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source

Influence of the Neural Network Hyperparameters on its Numerical Conditioning

Цифровая трансформация, 2020
In this paper, the task of assessment of numerical conditioning of multilayer perceptron, forecasting time series with sliding window method, has been considered. Performance of the forecasting perceptron with various hyperparameters sets, with different
S. V. Sholtanyuk
doaj  

Cyclin D1 Restrains Oncogene-Induced Autophagy by Regulating the AMPK-LKB1 Signaling Axis. [PDF]

, 2017
Autophagy activated after DNA damage or other stresses mitigates cellular damage by removing damaged proteins, lipids, and organelles. Activation of the master metabolic kinase AMPK enhances autophagy. Here we report that cyclin D1 restrains autophagy by
Bisetto, Sara, Casimiro, Mathew C., Di Rocco, Agnese, Disante, Gabriele, Jiao, Xuanmao, Kusminski, Christine M., Li, Zhiping, Loro, Emanuele, Ly, Daniel, Pestell, Richard, Pestell, Timothy G., Pupo, Claudia, Scherer, Philipp E., Seifert, Erin L., Shen, Che-Hung, Velasco-Velázquez, Marco A., Wang, Chenguang, Zheng, Bin   +17 more
core   +1 more source

An essential function for the ATR-Activation-Domain (AAD) of TopBP1 in mouse development and cellular senescence [PDF]

, 2013
ATR activation is dependent on temporal and spatial interactions with partner proteins. In the budding yeast model, three proteins – Dpb11TopBP1, Ddc1Rad9 and Dna2 - all interact with and activate Mec1ATR.
A Aguilera, A Balestrini, A Ciccia, A de Klein, A Kumagai, A Kumagai, A Mavrou, Anja Krueger, Antony M. Carr, C Cotta-Ramusino, Christopher Bruhn, Cong Liu, D Boos, D Branzei, D Cortez, DA Mordes, DA Mordes, EA Nam, EJ Brown, EJ Brown, FD Sweeney, H Wang, HL Ball, HY Yoo, J Lee, JE Kim, K Furuya, K Liu, K Liu, K Liu, K Liu, K Yamane, KA Cimprich, L Zou, L Zou, LA Lindsey-Boltz, LI Toledo, M Qu, Marshall S. Horwitz, O Limbo, P Bork, P Zegerman, PJ Woolf, R Gruber, RJ Edwards, S Biton, S Delacroix, S Kumar, S Liu, S Mochida, SJ Lin, SP Jackson, T Usui, Tang-Liang Li, V Garcia, VM Navadgi-Patil, VM Navadgi-Patil, WooKee Min, X Xu, X Yu, Y Jeon, Y Jeon, Y Lee, Z You, Z Zhou, Zhao-Qi Wang, Zhong-Wei Zhou, ZQ Wang   +67 more
core   +3 more sources