Results 181 to 190 of about 113,907 (292)
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Heart Sound Classification with MFCCs and Wavelet Daubechies Analysis Using Machine Learning Algorithms. [PDF]
Guzman-Alfaro S +7 more
europepmc +1 more source
Applicability of VGGish embedding in bee colony monitoring: comparison with MFCC in colony sound classification. [PDF]
Di N, Sharif MZ, Hu Z, Xue R, Yu B.
europepmc +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model. [PDF]
Hua C, Liu Z, Li L, Zhou X, Xiang C.
europepmc +1 more source
A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model. [PDF]
Park JS +5 more
europepmc +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model. [PDF]
Dietrich N, McShannon D, Rzepka MF.
europepmc +1 more source
Feature-Based Fusion Using CNN for Lung and Heart Sound Classification. [PDF]
Tariq Z, Shah SK, Lee Y.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

