Results 201 to 210 of about 50,437 (269)

Prediction of polycystic ovary syndrome using machine learning models: Addressing class imbalance and high dimensionality. [PDF]

J Educ Health Promot
Acharya S, Poojari S, Kamath A.
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Sequence-specific radiomics for diagnosis of spinal bone loss. [PDF]

Front Endocrinol (Lausanne)
Xue T, Li Y, Zhao H, Zhang T, Wang J, Jiang W, Lei L, Wang Y.   +7 more
europepmc   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

A systematic review of machine learning on clinical MALDI-TOF MS. [PDF]

Brief Bioinform
Schmidt-Santiago L, Guerrero-López A, Sevilla-Salcedo C, Rodríguez-Temporal D, Rodríguez-Sánchez B, Gómez-Verdejo V.   +5 more
europepmc   +1 more source

SVM-KNN: A Novel Approach to Classification Based on SVM and KNN

International Research Journal of Computer Science, 2017
openaire   +1 more source

A Large Language Model‐Based Approach for Fault Detection and Its Application

Safety Science and Technology, EarlyView.
This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley   +1 more source

Comparison of deep and conventional machine learning methods in predicting joint moments in patients with cerebral palsy. [PDF]

Med Biol Eng Comput
Özates ME, Salami F, Wolf SI, Arslan YZ.   +3 more
europepmc   +1 more source

Analysis of the influence of supplementary reinforcement on the behavior of reinforced‐concrete two‐pile caps subjected to concentric and eccentric loading

Structural Concrete, EarlyView.
Abstract This article examines the behavior of reinforced‐concrete pile caps on two piles under concentric and eccentric loading, with emphasis on the influence of horizontal and vertical supplementary reinforcement on load‐carrying capacity. Although the Strut‐and‐Tie method does not include this reinforcement in the internal equilibrium, it was found
Marcio Ferreira Cardoso, Ricardo de Paula Randi, Thomaz Eduardo Teixeira Buttignol, Luiz Carlos de Almeida, Leandro Mouta Trautwein   +4 more
wiley   +1 more source

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis. [PDF]

Sci Rep
Ara J, Bhuiyan H, Roza II, Nahin ASM.
europepmc   +1 more source