Results 161 to 170 of about 16,855 (255)

BugPrioritizeAI for multimodal test case prioritisation using bug reports, code changes, and test metadata. [PDF]

Sci Rep
Kalyani P, Rao CP, Goparaju B, Babu KK, Kandimalla PCR.   +4 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Multi-Type Weld Defect Detection in Galvanized Sheet MIG Welding Using an Improved YOLOv10 Model. [PDF]

Materials (Basel)
Xiao B, Yang Y, He Y, Ma G.
europepmc   +1 more source

Cross-project defect prediction with meta-Learning [PDF]

, 2018
openaire   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Research on Apple Surface Disease Detection Method Based on Improved YOLOv11s. [PDF]

Foods
Liu D, Li Y, Song X, Feng L, Niu J.
europepmc   +1 more source

Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids

Advanced Materials, EarlyView.
Strong dipole–dipole interactions give rise to an emergent polar smectic phase with spontaneous chiral symmetry breaking. This resulting polar heliconical smectic superstructure enables novel functionalities in polar fluids, such as color modulation driven by electric field strength and frequency, as well as second‐harmonic generation amplification ...
Hiroya Nishikawa, Dennis Kwaria, Atsuko Nihonyanagi, Koki Sano, Hiroyuki Yoshida, Fumito Araoka   +5 more
wiley   +1 more source

Machine Learning for Coronary Heart Disease Prediction: Comparative Analysis of Framingham and Cleveland Subset of the UCI Dataset with SHAP-Based Interpretability. [PDF]

Epidemiologia (Basel)
Raman S, Thakkar D, Calixte J, Kumar R, Sporn K, Marla K, Goel D, Gopali R, Chetla N, Pasha S, Ravisankar N, Lee R, Ionita C.   +12 more
europepmc   +1 more source

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

Advanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

SCT-YOLO: A Dual-Stream Defect Detection Network Utilizing Computational Shape, Texture, and Color Features. [PDF]

Sensors (Basel)
Mou Z, Dai Y, Cao Z, Lv Z, Wang L, Shen Y, Fu G.   +6 more
europepmc   +1 more source