Results 61 to 70 of about 44,463 (307)

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Flexural performance tests and machine learning analysis of prestressed high strength steel reinforced concrete beams

Journal of Asian Architecture and Building Engineering
This paper reports a study on the flexural performance of prestressed high strength steel reinforced concrete (PHSSRC) beams and proposes machine learning (ML) models for predicting the flexural bearing capacity of steel reinforced concrete (SRC) beams ...
Zhibo Bao, Jun Wang, Yurong Jiao
doaj   +1 more source

Explainable Machine Learning Framework for Distributed Denial-of-Service (DDoS) Attack Detection using Comparative Evaluation and SHAP Analysis

Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
The proliferation of Distributed Denial-of-Service (DDoS) attacks poses critical threats to network infrastructure, while conventional intrusion detection systems struggle to adapt to evolving attack patterns.
Muhammad Fathur Riziq, Ichwan Nul Ichsan
doaj   +1 more source

SHAP Forceplots Demonstrating PoSHAP Indexing.

, 2022
Two forceplots were created with the SHAP forceplot method of the third peptide in the CCS testing set. (A) shows the plot with encoded inputs mapped to their amino acid. (B) shows the plot with the encoded inputs mapped to their amino acid and position.
Jesse G. Meyer (6156995), Quinn Dickinson (3221445)   +1 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A CT-based interpretable machine learning model for preoperative prediction of pancreatic neuroendocrine tumor aggressiveness

Frontiers in Oncology
ObjectivesThis study aimed to develop and validate an interpretable machine learning (ML) model based on structured preoperative CT features for non-invasive prediction of pancreatic neuroendocrine Tumors (PNETs) aggressiveness.MethodsThis retrospective ...
Rong Kong, Shunzu Lu, Yugui Huang, Siyu Tan, Chunxia Zhu, Guowei Chen, Mingrui Yang, Ying Liu, Qixin Wu, Peng Peng   +9 more
doaj   +1 more source

Faith-Shap: The Faithful Shapley Interaction Index

CoRR, 2022
Shapley values, which were originally designed to assign attributions to individual players in coalition games, have become a commonly used approach in explainable machine learning to provide attributions to input features for black-box machine learning models.
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar   +2 more
openaire   +4 more sources

Tree SHAP interpretation for the MTBLS547 dataset.

, 2023
A: SHAP summary plot for MTBLS547 test set. B: SHAP embedding plot for 6-ketolithocholic acid. C: SHAP embedding plot for Allocholic acid. D: Force plot showing the interpretation of a true positive sample.
Olatomiwa O. Bifarin (15411649)
core   +1 more source

A Computational Strategy for Identifying Self‐Assembling Food‐Derived Molecules for Antiparasitic Nanotherapy

Advanced Science, EarlyView.
An integrated computational screening strategy identified ursolic acid (UA) and 18β‐glycyrrhetinic acid (18βGA) as a self‐assembling food‐derived molecular pair. The resulting carrier‐free nanoparticles (UA‐18βGA) showed synergistic antiparasitic activity, reduced combined toxicity, and host‐protective anti‐inflammatory effects in zebrafish and murine ...
Shenye Qu, Ting Wang, Jietao Liu, Jiacheng Qin, Bin Yang, Yihang Liu, Pengfei Li, Gaoxue Wang, Fei Ling   +8 more
wiley   +1 more source

Explainable Machine Learning for Food Vulnerability Prediction in Indonesia

Journal of Applied Informatics and Computing
Food insecurity remains a strategic multidimensional issue in Indonesia, requiring precise and transparent predictive frameworks for evidence-based policy.
Marizka Riffiy Alfiyah, Fadiah Tussholiha, Nyimas Princessa Syapeni, Halona Daffakhansa Nabila, Ken Ditha Tania, Allsela Meiriza, Ahmad Rifai   +6 more
doaj   +1 more source