Results 101 to 110 of about 56,489 (266)
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
Advanced 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
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM [PDF]
Sci Rep, 2023 Zhang Y, Tang S, Yu G.
europepmc +2 more sources
Liu-type pretest and shrinkage estimation for the conditional autoregressive model. [PDF]
PLoS One, 2023 Al-Momani M.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Interpretable Short‐Term Electric Load Forecasting
Advanced 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
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
Advanced Intelligent Systems, EarlyView.METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model. [PDF]
Risk Manag Healthc Policy, 2023 Tang W, Chen H, Zhang Z, Wu G, Lin Y.
europepmc +1 more source
American Journal of Community Psychology, EarlyView.Abstract The current study seeks to explore the reciprocal associations between mentor–mentee relationship strength and relationships with parents and peers across 2 years of mentoring. It is a secondary analysis of data collected by a national mentoring organization from youth (N = 1368; M age = 11.5 years; 59% female; White [n = 629], 30% Black [n ...
Westley L. Fallavollita +1 more
wiley +1 more source
Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals
EURASIP Journal on Advances in Signal Processing, 2002 This paper investigates the nonlinear effects of the Least Mean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive
Han Jun, Zeidler James R, Ku Walter H
doaj +1 more source