Results 201 to 210 of about 613,158 (317)

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

Advanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng, Wenjian Liu, Sheng Peng, Yuankun Liu, Wanlei Zhou   +4 more
wiley   +1 more source

Designing of guava quality classification model based on ANOVA and machine learning. [PDF]

Sci Rep
Kumari A, Singh J.
europepmc   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Hybrid Wavelet-ML models for regional drought forecasting in Norway. [PDF]

Sci Rep
Tuğrul T, Oruç S, Hall JL, Şenocak AUG, Hınıs MA.   +4 more
europepmc   +1 more source

A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance [PDF]

, 2015
Xiuzhen Guo, Chao Peng, Songlin Zhang, Yan Jia, Shukai Duan, Lidan Wang, Pengfei Jia, Fengchun Tian   +7 more
openalex   +1 more source

Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra‐Fractionated Stereotactic Adaptive Radiotherapy

Advanced Intelligent Systems, EarlyView.
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu, Steve Jiang, Robert Timmerman, Hao Peng   +3 more
wiley   +1 more source

Intelligent Dental Handpiece: Real-Time Motion Analysis for Skill Development. [PDF]

Sensors (Basel)
Sallam M, Salah Y, Osman Y, Hegazy A, Khatab E, Shalash O.   +5 more
europepmc   +1 more source

Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies

Advanced Intelligent Systems, EarlyView.
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli, Berke Cansiz, Nizamettin Aydin, Gorkem Serbes   +3 more
wiley   +1 more source

Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study.

JMIR Cancer
Xu MQ, Jiang ZS, Liao WY, Kang Y, Feng XY, Jiang K, Jiang Q, Cong ZZ, Luo J, Wu L, Shen Y, Wang FY.   +11 more
europepmc   +1 more source

A disposable, passive microfluidic cartridge for point-of-care detection of antibodies in total capillary blood based on hemagglutination and machine-learning assisted interpretation. [PDF]

RSC Adv
Jawad M, Akhi AT, Wendling R, Redecke V, Häcker H, Gale B.   +5 more
europepmc   +1 more source