Results 51 to 60 of about 214,358 (295)

Fuzzy universality of probability judgment [PDF]

Proceedings of the National Academy of Sciences, 2014
Probability judgment is essential to navigating through life, from understanding risks to making decisions under uncertainty. However, probability theory is relatively recent. How has humanity managed to get along before this development? In PNAS, Fontanari et al.
Valerie F, Reyna, Charles J, Brainerd
openaire   +2 more sources

Fuzzy ARTMAP, Slow Learning and Probability Estimation [PDF]

, 1993
A nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is here described. Because the procedure does not make a priori assumptions about underlying probability distributions, it yields accurate estimates on a wide variety ...
Carpenter, Gail A., Grossberg, Stephen, Reynolds, John H.   +2 more
core   +1 more source

Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors

Advanced Materials Interfaces, EarlyView.
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber, Len Kimms, Martin Winter, Andreas Heuer, Diddo Diddens   +4 more
wiley   +1 more source

Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing

Molecules, 2021
Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool to face such uncertainty. According to the Bayesian definition, probabilities are personal beliefs.
Pier Luigi Gentili
doaj   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]

, 2019
An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
core   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Fuzzy Probability Distributions [PDF]

, 2004
Consider as starting point a soccer match of two different teams M 1and M 2 (compare [1]). In this situation three different outcomes are possible: Team M 1 wins (event {a}), team M 2 wins (event {b}) or the match ends in a draw (event x{c}). For none of the three outcomes it is possible to know the exact probabilities, therefore the probabilities are ...
Wolfgang Trutschnig, Dietmar Hareter
openaire   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source