Results 91 to 100 of about 88,634 (286)
Innovate Magazine / Annual Review 2009-2010 [PDF]
, 2009 https://scholarworks.sjsu.edu/innovate/1002/thumbnail ...
San Jose State University
core +2 more sources
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Soil temperature prediction based on explainable artificial intelligence and LSTM
Frontiers in Environmental ScienceSoil temperature is a key parameter in many disciplines, and its research has important practical significance. In recent years, the prediction of soil temperature by deep learning has achieved good results.
Qingtian Geng, Leilei Wang, Qingliang Li
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Annals of Gastroenterological Surgery, EarlyView.Using machine learning‐based decision tree models, patients with perihilar cholangiocarcinoma undergoing major hepatectomy with extrahepatic bile duct resection were stratified according to the risk of posthepatectomy liver failure. Separate models were developed with and without indocyanine green data, enabling clinically interpretable preoperative ...
Yuki Homma +11 more
wiley +1 more source
On the granite of Shap, in Westmoreland [PDF]
Transactions of the Edinburgh Geological SocietyAbout four miles to the south of the village of Shap, in Westmoreland, there occurs a mass of granite, which has been long known to geologists by the enormous number and wide distribution of the erratic blocks which have been derived from it. It breaks through the highest beds of the green slates and porphyries of the Lake district, and is of ...
openaire +2 more sources
Annals of Gastroenterological Surgery, EarlyView.Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males +8 more
wiley +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM
Кібернетика та комп'ютерні технологіїIntroduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, one of the major
Vladyslav Yavtukhovskyi +1 more
doaj +1 more source
XAI for Image Captioning using SHAP.
J. Inf. Sci. Eng., 2023 In the fields of computer vision (CV) and natural language processing (NLP), they attempt to create a textual description of a given image is known as image captioning. Captioning is the process of creating an explanation for an image. Recognizing the significant items in an image, their qualities, and their connections are required for image ...
Christine Dewi +3 more
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