Results 141 to 150 of about 39,020 (265)

A SMOTE PCA HDBSCAN approach for enhancing water quality classification in imbalanced datasets. [PDF]

Sci Rep
Nasaruddin N, Masseran N, Idris WMR, Ul-Saufie AZ.   +3 more
europepmc   +1 more source

Traffic Sign Recognition System for Imbalanced Dataset [PDF]

Journal of Computers, 2017
Yildiz Aydin, Durmus Özdemir, Gulsah Tumuklu Ozyer   +2 more
openaire   +3 more sources

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

Advanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang, Wenzhi Wang, Dongjiao Wang, Qibin Wu, Youxiong Que   +4 more
wiley   +1 more source

Enhancing Alzheimer's disease classification through split federated learning and GANs for imbalanced datasets. [PDF]

PeerJ Comput Sci
Narayanee Nimeshika G, D S.
europepmc   +1 more source

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean

Advanced Science, EarlyView.
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen, Dawei Xin, Jinhui Wang   +11 more
wiley   +1 more source

Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets. [PDF]

Front Artif Intell
Abousaber I, Abdallah HF, El-Ghaish H.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

The receiver operating characteristic curve accurately assesses imbalanced datasets. [PDF]

Patterns (N Y)
Richardson E, Trevizani R, Greenbaum JA, Carter H, Nielsen M, Peters B.   +5 more
europepmc   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes. [PDF]

EJNMMI Phys
Du D, Shiri I, Yousefirizi F, Salmanpour MR, Lv J, Wu H, Zhu W, Zaidi H, Lu L, Rahmim A.   +9 more
europepmc   +1 more source