Results 171 to 180 of about 50,437 (269)

Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices. [PDF]

iScience
Lauretti C, Cimini S, Zompanti A, Tamantini C, Pizziconi B, Piemontese M, Pennazza G, Santonico M, De Gara L, Zollo L.   +9 more
europepmc   +1 more source

AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys

Materials Genome Engineering Advances, EarlyView.
A stepwise optimization method is proposed for castability and mechanical properties of nickel‐based superalloys, enabling interpretable dimensionality reduction and efficient multi‐objective optimization of the composition space. An alloy design multi‐agent framework was further developed, integrating large language models, CALPHAD calculation ...
Jiaxuan Ma, Songyang Chen, Rui Feng, Xin Hao, Hang Zheng, Chushan Yi, Qingbiao Tan, Guoliang Zhu   +7 more
wiley   +1 more source

Application of an Electronic Nose for Early Detection of Tephritidae Infestation in Fruits. [PDF]

Insects
Anastasaki E, Psoma A, Crivelli M, Toufexi S, Giakoumaki MV, Milonas P.   +5 more
europepmc   +1 more source

Heart Disease Prediction Using Extended KNN(E-KNN)

International Journal of Advanced Trends in Computer Science and Engineering, 2020
openaire   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source

Human Motion Segmentation via Spatiotemporally Dual-Constrained Density Estimation with Commodity Wi-Fi Device. [PDF]

Sensors (Basel)
Wang X, Zhang L, Shu F.
europepmc   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

Neuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu, Xinnan Liu, Yashuang Chen, Meng Pan, Ying Fu, Chao Ma, Wei Ge   +6 more
wiley   +1 more source

Use of Machine Learning Techniques for Fertilization Traceability Discrimination via Core Quality Indicators of Korla Fragrant Pear Fruits. [PDF]

Foods
Zeng J, Wang H, Yu M, Chen Y, Bao J.
europepmc   +1 more source

Photonisch‐elektronische Analogrechentechnik: Photonen & Elektronen: ein Team für KI

Physik in unserer Zeit, EarlyView.
Wir stellen die Architektur für einen analogen Prozessor für Künstliche Intelligenz (KI) vor. Er kombiniert die Vorteile elektronischer und optischer Informationsverarbeitung. Durch Verwendung hocheffizienter Galliumnitrid‐MikroLEDs arbeitet er dabei besonders energieeffizient.
Robert Kraneis, Maximilian Müller, Andreas Waag, Christian Werner   +3 more
wiley   +1 more source

A lightweight machine learning approach for DDoS detection and classification. [PDF]

Sci Rep
Ebrahem O, Dowaji S, Alhammoud S.
europepmc   +1 more source