Results 81 to 90 of about 102,701 (252)

A New Model for Transfer Learning-Based Mapping of Burn Severity

open access: yesRemote Sensing, 2020
In recent years, global forest fires have occurred more frequently, seriously destroying the structural functions of forest ecosystem. Mapping the burn severity after forest fires is of great significance for quantifying fire’s effects on ...
Zhong Zheng   +6 more
doaj   +1 more source

spotlight europe no. 5 2019. Overuse of medical services. Unnecessary medical services can be harmful to patients [PDF]

open access: yes, 2019
How is the overuse of medical services defined? The German Advisory Council on the Assessment of Developments in the Healthcare System (SVR) defines the overuse of medical services as treatment that goes beyond the coverage of needs.
Eckhard Volbracht, Eckhard Volbracht   +2 more
core  

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai   +10 more
wiley   +1 more source

Personality in Computational Advertising: A Benchmark [PDF]

open access: yes, 2016
In the last decade, new ways of shopping online have increased the possibility of buying products and services more easily and faster than ever. In this new context, personality is a key determinant in the decision making of the consumer when shopping.
Roffo, Giorgio, Vinciarelli, Alessandro
core  

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Developmental and Phenotypic Outcomes in Mild Phenylalanine Hydroxylase Deficiency

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Benign hyperphenylalaninemia (bHPA) is defined as elevated phenylalanine (Phe) levels remaining ≤ 360 μmol/L (6 mg/dL) and not requiring medical intervention. Individuals with bHPA may demonstrate a rise in their Phe levels > 360 μmol/L, effectively developing a mild PKU phenotype requiring therapy to prevent neurocognitive complications. This
Aaron Williams   +8 more
wiley   +1 more source

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion

open access: yes, 2017
This paper aims to solve a fundamental problem in intensity-based 2D/3D registration, which concerns the limited capture range and need for very good initialization of state-of-the-art image registration methods.
Alansary, Amir   +8 more
core   +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu   +5 more
wiley   +1 more source

Prediction of Properties of Polymer Composite Formulations Using Ensemble Models With Feature Generation

open access: yesJournal of Applied Polymer Science, EarlyView.
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley   +1 more source

Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns [PDF]

open access: yes
In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting.
Kiho Jeong, Shiyi Chen, Wolfgang Härdle
core  

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