Results 141 to 150 of about 196,804 (296)

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

On Applicability of Reservoir Operation System Aided Neural Networks and Fuzzy Set Theory for Flood Control.

, 1997
Masahiko Hasebe, Yasutosi NAGAYAMA, Takanori Kumekawa   +2 more
openalex   +2 more sources

Dynamic Synthesis of Multi‐Modal Representations for CITE‐seq Data Integration and Analysis

Advanced Science, EarlyView.
The accurate integration of CITE‐seq modalities faces challenges due to complex RNA‐protein nonlinear interactions and computational inefficiencies. A lightweight framework that adaptively fuses RNA and ADT modalities, and refines them through fine‐grained learning is developed to address this issue.
Yinan Shi, Yanchi Su, Yue Cheng, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +5 more
wiley   +1 more source

LEVEL SOFT GROUP AND ITS PROPERTIES

Barekeng
In this paper, we present an application of fuzzy subset and fuzzy subgroup to a soft set and a soft group, thereby creating a soft set and a soft group within the same group. Furthermore, we refer to the soft and soft groups as level soft sets and level
Saman Abdurrahman, Mochammad Idris, Faisal Faisal, Na’imah Hijriati, Thresye Thresye, Aprida Siska Lestia   +5 more
doaj   +1 more source

A New Ranking Methodology for Pythagorean Trapezoidal Uncertain Linguistic Fuzzy Sets Based on Einstein Operations [PDF]

, 2019
Arshad Ahmad Khan, Saleem Abdullah, Muhammad Shakeel, Faisal Khan, Noor Ul Amin, Jianchao Luo   +5 more
openalex   +1 more source

Interval Ranges of Fuzzy Sets Induced by Arithmetic Operations Using Gradual Numbers [PDF]

, 2021
Mao Qing-song, Huan Huang
openalex   +1 more source

Aging as a Loss of Goal‐Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation

Advanced Science, EarlyView.
The paper proposes that the root cause of aging is the loss of anatomical goal‐directedness after development. Using evolutionary neural cellular automata simulations, the authors show that after the organism has reached its developmental homeostatic setpoint (the adult morphology), the absence of target state to pursue leads to a drifting anatomical ...
Léo Pio‐Lopez, Benedikt Hartl, Michael Levin   +2 more
wiley   +1 more source

T1WI‐SWI Dual Modal Magnetic Resonance Nanoprobes for Accurate Diagnosis of Early Stage Alzheimer's Disease

Advanced Science, EarlyView.
We developed a smart MRI nanoprobe targeting BACE1 and Aβ plaques. It crosses the blood‐brain barrier. Upon encountering BACE1, the probe is cleaved, enabling T1WI imaging detection. Subsequent reaction with ONOO− induces probe aggregation, enhancing magnetic susceptibility for sensitive SWI imaging of Aβ plaques.
Minghua Li, Aijun Shen, Xiaolong Gao, Chao Lin, Zongliang Huang, Qi Lv, Junjun Tang, Xiaolong Ma, Jiong Ni, Ju Tian, Jiaqi Wu, Xiaowen Xu, Wei Wang, Peijun Wang   +13 more
wiley   +1 more source

A Minimally Invasive Framework Reveals Region‐Specific Cerebrovascular Remodeling in Aging Using Intravital Functional Ultrasound Imaging and Ultrasound Localization Microscopy (fUS‐ULM)

Advanced Science, EarlyView.
A high‐resolution intravital imaging platform combining functional ultrasound and localization microscopy enables longitudinal, minimally invasive assessment of cerebrovascular function in aging studies. The present investigation reveals aging‐related reductions in neurovascular coupling, arteriole‐to‐venule ratio and vascular density, introducing a ...
Sharon Negri, Adam Nyul‐Toth, Madison Milan, Eva Troyano‐Rodriguez, Sherwin Tavakol, Jennifer Ihuoma, Zeke Reyff, Rakesh Rudraboina, Rafal Gulej, Raymond Jang, Anna Csiszar, Zoltan Ungvari, Audrey Cleuren, David R Miller, Andriy Yabluchanskiy, Mickael Tanter, Stefano Tarantini   +16 more
wiley   +1 more source

Thermal Runaway Temperature Prediction of Lithium‐Ion Battery Under Extreme High‐Temperature Shock Using Experimental and Virtual Data

Advanced Science, EarlyView.
An integrated framework predicts lithium‐ion batteries (LIB) thermal runaway (TR) under extreme high‐temperature shock. By combining experimental data with the multiphysics‐generated virtual data, a hybrid deep learning approach is developed to accurately forecast temperature evolution for unseen scenarios.
Xiaoyu Li, Shen Zhao, Xinyu Wei, Zhentao Shen, Jun Tian, Yibo Zhang, Yanli Zhu   +6 more
wiley   +1 more source