Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout by María Pereira Martínez, Xabier Cid Vidal, Pietro Vischia

Get full text

Actor-critic algorithm with incremental dual natural policy gradient by Peng ZHANG, Quan LIU, Shan ZHONG, Jian-wei ZHAI, Wei-sheng QIAN

“…The existed algorithms for continuous action space failed to consider the way of selecting optimal action and utilizing the knowledge of the action space,so an efficient actor-critic algorithm was proposed by improving the natural gradient.The objective of the proposed algorithm was to maximize the expected return.Upper and the lower bounds of the action range were weighted to obtain the optimal action.The two bounds were approximated by linear function.Afterward,the problem of obtaining the optimal action was transferred to the learning of double policy parameter vectors.To speed the learning,the incremental Fisher information matrix and the eligibilities of both bounds were designed.At three reinforcement learning problems,compared with other representative methods with continuous action space,the simulation results show that the proposed algorithm has the advantages of rapid convergence rate and high convergence stability.…”
Get full text

Pedagogical diagnosis as a form of support for school students in the wake of the pandemic by Justyna Nowotniak

Get full text

Projeto LUPA: Laboratório urbano pela arte by Andreia Fernandes, Andrea Monteiro Vicente, Alice Batista, Cláudia Silva

Get full text

Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…Specifically, LPMDA rephrases the objective function of LDA as a convex discriminant analysis framework from the perspective of metric learning, allowing for extracting more features than the number of classes. …”
Get full text

Target Detection Label Assignment Method Based on Global Information by ZHANG Pei-pei, LU Zhen-yu

“…With the development of deep learning framework, new object detection algorithms have also been proposed, such as first-stage and two-stage detection models, which have improved the detection speed and solved the problem of object detection at different scales, but they have not yet been well solved for overlapping, occlusion and other issues. …”
Get full text

Targeting MAD2B as a strategy for ischemic stroke therapy by Lijing Zhang, Hengzhen Cui, Wandi Hu, Xianfang Meng, Chun Zhang

“…Whether MAD2B regulates learning memory capacity through ROCK2 in cerebral ischemia is not known. …”
Get full text

Long-term aerobic exercise improves learning memory capacity and effects on oxidative stress levels and Keap1/Nrf2/GPX4 pathway in the hippocampus of APP/PS1 mice by Shiyan Wang, Ye Zhou, Yucheng Wu, Yali Lang, Yajun Mao, Guoyuan Pan, Zhenzhen Gao

“…The level of ROS in the hippocampal region was significantly reduced by aerobic exercise (p < 0.05), with decreased Keap1 protein expression of and increased Nrf2, HO-1, GPX4 protein expression (p < 0.05).ConclusionAerobic exercise enhances memory and learning abilities, improves cognitive function, and reduces the oxidative stress levels in the hippocampus of AD mice, which involves in the activation of Keap1/Nrf2/GPX4 pathway.…”
Get full text

Mamba with split-based pyramidal convolution and Kolmogorov-Arnold network-channel-spatial attention for electroencephalogram classification by Zhe Li, Zhe Li

“…Deep learning is widely used in brain electrical signal studies, among which the brain–computer interface is an important direction. …”
Get full text

Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

Get full text

ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios by Heng Xiong, Jie Xu, Rogemar Mamon, Yixing Zhao

Get full text

Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach by Evangelos Rozos

“…The advent of machine learning (ML) has significantly transformed hydrology, particularly in the simulation of hydrological flows. …”
Get full text

Social Network Analysis: A Novel Paradigm for Improving Community Detection by Rodrigo Hernández, Inmaculada Gutiérrez, Javier Castro

Get full text

A novel data representation framework based on nonnegative manifold regularisation by Yan Jiang, Wei Liang, Jintian Tang, Hongbo Zhou, Kuan-Ching Li, Jean-Luc Gaudiot

“…Representation learning techniques have been frequently applied in multimedia content analysis and retrieval. …”
Get full text

DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving by Hongge Ren, Fangke Jing, Song Li

Get full text

MDDeep-Ace: species-specific acetylation site prediction based on multi-domain adaptation by Yu Liu, Chaofan Ye, Can Lin, Kangkang Mao, Ming Zhu

“…Background Lysine post-translational modification (PTM) is pivotal in regulating diverse cellular processes, profoundly impacting protein structure and function. Over recent decades, numerous experimental techniques have advanced PTM site identification, significantly contributing to research progress. …”
Get full text

A joint data and knowledge‐driven method for power system disturbance localisation by Zikang Li, Jiyang Tian, Hao Liu

Get full text

Practical guidelines for cell segmentation models under optical aberrations in microscopy by Boyuan Peng, Jiaju Chen, P. Bilha Githinji, Ijaz Gul, Qihui Ye, Minjiang Chen, Peiwu Qin, Xingru Huang, Chenggang Yan, Dongmei Yu, Jiansong Ji, Zhenglin Chen

“…Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have revolutionized cell segmentation by extracting intricate features from images. …”
Get full text

QRNet: A Quaternion-Based Retinex Framework for Enhanced Wireless Capsule Endoscopy Image Quality by Vladimir Frants, Sos Agaian

Get full text

Competence region estimation for black-box surrogate models by Tapan Shah

“…A simple, effective methodis to learn machine learning models from quantized datastored with low arithmetic precision (1-8 bits). …”
Get full text