Results 181 to 190 of about 649,470 (297)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Deterioration mechanism and stochastic damage modeling of tunnel lining concrete in hydrothermal corrosive environments. [PDF]

Sci Rep
Ning Y, Yan Z, Zeng Y, Zhang C, Dong Y.
europepmc   +1 more source

IV. Tonsillar Tubercles Containing Intracellular Concretions Simulating Foreign Body Pseudotubercles [PDF]

, 1922
Carl Vernon Weller
openalex   +1 more source

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

Advanced Intelligent Systems, EarlyView.
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li   +7 more
wiley   +1 more source

Prestressed Wood or Bamboo Structures: Historical Overview and State-of-the-Art

BioResources
This review explores the evolution of prestressed timber/bamboo structures across component, connection, and structural levels, and it examines the corresponding performance of prestressed specimens.
Qingfang Lv, Juewen Wang, Yujie Lu
doaj  

Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning. [PDF]

Sci Rep
Fathy IN, Dahish HA, Alkharisi MK, Mahmoud AA, Fouad HEE.   +4 more
europepmc   +1 more source

Utilizing Data Imbalance to Enhance Compound–Protein Interaction Prediction Models

Advanced Intelligent Systems, EarlyView.
This research paper introduces FilmCPI, a sequence‐based model for predicting compound–protein interactions. It uniquely leverages data imbalance between proteins and compounds to improve performance. FilmCPI outperforms baseline models across multiple datasets and demonstrates strong transferability to unseen protein families without increasing ...
Wei Lin, Chi Chung Alan Fung
wiley   +1 more source

Sustainable concrete: investigating the synergistic effects of coconut fiber, wheat straw ash, and silica fume on RAC strength and durability. [PDF]

Sci Rep
Al-Naghi AAA, Ali T, Inam I, Qureshi MZ, Kahla NB, Ghazouani N, Ahmed H.   +6 more
europepmc   +1 more source

CASE OF INTESTINAL CONCRETION, OR, ENTEROLITHUS. [PDF]

J.I. Ikin
openalex   +1 more source

Lowering the Entrance Hurdle for Lab Automation: An Artificial Intelligence‐Supported, Interactive Robotic Arm for Automated, Repeated Testing Procedures

Advanced Intelligent Systems, EarlyView.
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad, Philipp Auth, Tom Masselter, Thomas Speck   +3 more
wiley   +1 more source