Results 71 to 80 of about 17,065,182 (226)

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yesScientific Reports
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

open access: yesTeknika
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

open access: yes, 2023
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

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

open access: yes
multinomial processing tree models, hierarchical models, Gibbs sampler,
Karl Klauer
core   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

open access: yesAdvanced Intelligent Systems, EarlyView.
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]

open access: yes
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

open access: yes, 2020
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

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