Results 71 to 80 of about 17,065,182 (226)
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
People punish defection, not failures to conform to the majority
Do people punish others for defecting or for failing to conform to the majority? In two experiments, we manipulated whether the participants’ partners cooperated or defected in the majority of the trials of a Prisoner’s Dilemma game.
Ana Philippsen +3 more
doaj +1 more source
Hybrid Framework Addressing Imbalanced Data in Indonesian E-commerce Multimodal Sentiment Analysis
Severe class imbalance in Indonesian language e-commerce reviews hampers the detection of customer grievances, because about 88 percent of testimonials are positive whereas under one percent are negative.
Shabrina Rasyid Munthe +2 more
doaj +1 more source
How to develop, test, and extend multinomial processing tree models: A tutorial
Supplementary material for: Tutorial on multinomial processing tree modeling: How to develop, test, and extend MPT models (Schmidt, Erdfelder, & Heck ...
Oliver Schmidt +5 more
core +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach
multinomial processing tree models, hierarchical models, Gibbs sampler,
Karl Klauer
core +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Simulated Classical Tests in the Multiperiod Multinomial Probit Model [PDF]
This paper compares different versions of the simulated counterparts of the Wald test, the score test, and the likelihood ratio test in the multiperiod multinomial probit model.
Ziegler, Andreas
core
Representing Probabilistic Models of Knowledge Space Theory by Multinomial Processing Tree Models
Supplementary material for the manuscript "Representing Probabilistic Models of Knowledge Space Theory by Multinomial Processing Tree ...
Stefano Noventa, Daniel W. Heck
core +1 more source

