Results 181 to 190 of about 114,884 (315)

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Data-driven 1D design model for monotonic lateral loading of monopile foundations. [PDF]

MethodsX
Kamas I, Suryasentana SK, Burd HJ, Byrne BW.   +3 more
europepmc   +1 more source

An Accessible Platform to Quantify Oxygen Diffusion in Cell‐Laden Hydrogels and Its Application to Alginate‐Immobilized Pancreatic Beta Cells

Biotechnology and Bioengineering, Volume 123, Issue 2, Page 348-362, February 2026.
A simple setup to measure oxygen diffusion coefficients was developed using equipment accessible to most wet laboratories. Gels that appeared softer and had lower loss moduli correlated with higher oxygen diffusion coefficients. Dimensionless number analyses using the Thiele Modulus and effectiveness factors were predictive of viability profiles within
Hamid Ebrahimi Orimi, Kurtis S. Champion, Laurier Gauvin, Jonathan A. Brassard, Berit L. Strand, Richard L. Leask, Corinne A. Hoesli   +6 more
wiley   +1 more source

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration. [PDF]

Malar J
Ghosh SK, Ananthakumar U, Chougale PD, Somaraj AB.   +3 more
europepmc   +1 more source

Advancing single‐species abundance models: Robust models for predicting abundance using co‐occurrence from communities

Ecosphere, Volume 17, Issue 2, February 2026.
Abstract Accurate estimates of abundance are crucial for successful conservation and management. However, gathering abundance data is costly. Species abundance models (SAMs) are increasingly used to predict variation in abundance for resource management for single species, but collecting enough relevant environmental information to build effective SAMs
Aliénor Stahl, Eric J. Pedersen, Pedro R. Peres‐Neto   +2 more
wiley   +1 more source

Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]

Sci Rep
Kazim U, Ullah M, Arshed JU, Afzal M, Abid F, Alsubai S, Osman O, Rasheed J.   +7 more
europepmc   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 397-412, February 2026.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi, Sang‐ri Yi, Taeyong Kim   +2 more
wiley   +1 more source

Assessment of entropy-derived 2D river velocity profiles from surface velocity radar measurements: case study of the Ganga and Bhagirathi rivers. [PDF]

Sci Rep
Kumar A, Jain MK.
europepmc   +1 more source

Mapes

, 2019
Bolòs i Masclans, Jordi, Hurtado, Víctor   +1 more
openaire   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, Volume 14, Issue 2, Page 887-904, February 2026.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source