Results 61 to 70 of about 199 (132)

Categorical Boosting‐PSO: A SHAP‐Interpretable Hybrid Framework for High‐Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat   +2 more
wiley   +1 more source

Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3889-3905, August 2026.
An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel   +3 more
wiley   +1 more source

SMAA‐Based FITradeoff: An Efficient Framework for Pairwise Elicitation in Multicriteria Decision Analysis

open access: yesJournal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao   +3 more
wiley   +1 more source

Structured Schemas for Provenance‐Rich, LLM‐Assisted QSP Model Calibration

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 8, August 2026.
ABSTRACT Quantitative systems pharmacology (QSP) models require calibration data from literature, yet manual curation is inconsistently documented and large language model (LLM) extraction can hallucinate values and fabricate citations. We present MAPLE (Model‐Aware Parameterization from Literature Evidence), which uses structured validation schemas as
Joel Eliason, Aleksander S. Popel
wiley   +1 more source

Artificial Intelligence Techniques to Enhance Cost, Effort, and Schedule Estimates in Software Development Projects: A Systematic Literature Review

open access: yesJournal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT The inaccuracy of cost, effort, and schedule estimates remains one of the primary factors associated with failures in software development projects, particularly in contexts characterized by high complexity and frequent changes in requirements.
Rodolfo Barbosa dos Santos   +1 more
wiley   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

open access: yesVIEW, Volume 7, Issue 4, August 2026.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen   +7 more
wiley   +1 more source

Super‐Resolution of Planetary Images Based on Generative Adversarial Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley   +1 more source

AI Based Velocity Calibration for Cassini's Cosmic Dust Analyzer (CDA)

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract This paper presents a novel AI‐based velocity calibration method for the Cosmic Dust Analyzer (CDA) onboard the Cassini spacecraft, in particular for impacts on the large Impact Ionization Detector (IID). The legacy polynomial calibration function, derived from laboratory measurements at a dust accelerator facility, assigns a velocity ...
Thomas Albin, Jonas Simolka, Ralf Srama
wiley   +1 more source

Localization and Classification of Gravity Wave Events From VIIRS Day/Night Band Satellite Imagery Using Machine Learning Techniques

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Gravity waves in the upper mesosphere produce diverse spatial patterns in nighttime airglow, but their global morphology has been difficult to characterize because manual identification is impractical for the massive satellite image archive. We developed a machine learning framework to detect and classify gravity wave events in imagery from ...
Yuta Hozumi   +6 more
wiley   +1 more source

Inferring alternative ecosystem states with field survey data

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 8, Page 2256-2276, August 2026.
Abstract Many ecosystems potentially exhibit alternative stable states, where distinct states can coexist under identical environmental conditions. While simulation models have generated key hypotheses in alternative stable states theory, they often rely on scale‐free parameters disconnected from real ecosystems.
Ning Chen   +10 more
wiley   +1 more source

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