Results 101 to 110 of about 161,991 (287)

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Performance of a Deep Learning Reconstruction Method on Clinical Chest–Abdomen–Pelvis Scans from a Dual-Layer Detector CT System

Tomography
Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alternatives for soft tissue CT image reconstruction.
Christopher Schuppert, Stefanie Rahn, Nikolas D. Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F. Weber, Thuy D. Do   +8 more
doaj   +1 more source

Conformable Microelectrode Arrays Integrated with a Scoop‐Shaped Slide‐Well for Dynamic Electrophysiological Profiling of Patient‐Derived Cardiac Organoids

Advanced Science, EarlyView.
A flexible, ultrathin multi‐channel microelectrode array (MEA) conformally integrated onto a curved slide‐well enables stable electrical interfacing with 3D cardiac organoids. The geometry‐guided self‐alignment allows simultaneous recording of extracellular field potentials and contractile motion from irregular, beating tissues.
Ye Seul Kim, Jeonghwa Jeong, Gyeonghwa Heo, Young Woo Kwon, Jeongha Lee, Yoon Ji Jeong, Gyu Tae Park, Seongdo Jeong, Ki Won Hwang, Murim Choi, Jinhong Shin, Suck Won Hong, Jae Ho Kim   +12 more
wiley   +1 more source

Dual-Teacher Guided Denoising Distillation for Anomaly Detection

IEEE Access
Recently, knowledge distillation-based approaches have demonstrated efficacy in unsupervised anomaly detection. These methods typically compute pointwise feature discrepancies between teacher and student (T–S) to localize anomalies.
Ning Li, Ajian Liu, Chaohao Jiang, Suigu Tang, Yongze Li, Yanyan Liang   +5 more
doaj   +1 more source

Denoising algorithm for coal mine image based on coupled partial differential equations

Gong-kuang zidonghua, 2013
In view of problems of high noise and low illumination of coal mine image under complicated circumstance in coal mine, the paper proposed a denoising algorithm for coal mine image based on coupled second-order and fourth-order partial differential ...
WANG Zhen-wei, FENG Jin, LU Zhao-lin
doaj   +1 more source

Gut Mycobiota‐Associated Tryptophan Catabolites Protect Against Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao, Shuangya Fan, Juan Xu, Zhen Xu, Chen Peng, Junxing Qu, Ziqian Bing, Shizhen Zhou, Sunan Shen, Guifang Xu, Yue Zhao, Tingting Wang   +11 more
wiley   +1 more source

Quantum Boolean image denoising [PDF]

Quantum Information Processing, 2014
A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
openaire   +2 more sources

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

A Dual-Branch Speech Enhancement Model with Harmonic Repair

Applied Sciences
Recent speech enhancement studies have mostly focused on completely separating noise from human voices. Due to the lack of specific structures for harmonic fitting in previous studies and the limitations of the traditional convolutional receptive field ...
Lizhen Jia, Yanyan Xu, Dengfeng Ke
doaj   +1 more source

Statistically based multiwavelet denoising

Journal of Computational and Applied Mathematics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
PAPI, SERENA, BACCHELLI, SILVIA
openaire   +2 more sources