Results 111 to 120 of about 33,125 (301)

Corrections to “An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning”

IEEE Access
Presents corrections to the paper, An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning.
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu   +5 more
doaj   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Guest Editorial: New Developments in Explainable and Interpretable Artificial Intelligence

14271428This special issue brings together seven articles that address different aspects of explainable and interpretable artificial intelligence (AI).
Subbalakshmi, Koduvayur P., Hu, Xia Ben, Samek, Wojciech   +2 more
core   +1 more source

An overview of artificial intelligence in the field of genomics

Discover Artificial Intelligence
Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional machine-learning approaches have been used to understand the dynamics of genetic data.
Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet   +2 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to? [PDF]

, 2019
Evolutionary fuzzy systems are one of the greatest advances within the area of computational intelligence. They consist of evolutionary algorithms applied to the design of fuzzy systems.
del Jesus Díaz, María Jose, Fernández Hilario, Alberto Luis, Herrera Triguero, Francisco, Marcelloni, Francesco, Jose Del Jesus, Maria, Herrera, Francisco, Fernandez, Alberto, Cordon, Oscar, Cordón García, Óscar   +8 more
core   +1 more source

Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.

PLoS ONE
Accurate electricity consumption forecasting in residential buildings has a direct impact on energy efficiency and cost management, making it a critical component of sustainable energy practices.
Jihoon Moon, Muazzam Maqsood, Dayeong So, Sung Wook Baik, Seungmin Rho, Yunyoung Nam   +5 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Explainable Artificial Intelligence-Based Decision Support Systems: A Recent Review

This survey article provides a comprehensive overview of the evolving landscape of Explainable Artificial Intelligence (XAI) in Decision Support Systems (DSSs). As Artificial Intelligence (AI) continues to play a crucial role in decision-making processes
Georgios Kostopoulos, Gregory Davrazos, Sotiris Kotsiantis   +2 more
core   +1 more source