Results 141 to 150 of about 26,456 (261)
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
Comparative evaluation of filtration techniques for ECG signal denoising with emphasis on stationary wavelet transform. [PDF]
Ádám N +4 more
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
In this study of the gut mucosal microbiota in primary sclerosing cholangitis (PSC), we found consistent microbiota features associated with PSC and recurrent PSC, PSC with inflammatory bowel disease and a persistent gut dysbiosis after liver transplantation Abstract Background and Aims Several characteristic features of the fecal microbiota have been ...
Mikal Jacob Hole +12 more
wiley +1 more source
A Novel LiDAR Echo Signal Denoising Method Based on the VMD-CPO-IWT Algorithm. [PDF]
Zha J +5 more
europepmc +1 more source
Speech signal denoising with wavelets
Bu çalışma konuşma sinyalinden gürültünün arındırılması için dalgacık dönüşümünün performansını incelemeyi amaçlamaktadır. Dalgacıklar sayısal konuşma işlemede özellikle kodlama, iyileştirme veya gürültü temizlemede yaygın olarak kullanılırlar. Pekçok koşulda, doğal konuşma sinyalini anlama arkaplan gürültüsü nedeniyle zorlu bir iştir.
openaire +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
Dynamic Hyperbolic Tangent PSO-Optimized VMD for Pressure Signal Denoising and Prediction in Water Supply Networks. [PDF]
Shang Y, Zhang Z.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Hybrid DWT NLM method with NOA optimization for ECG signal denoising. [PDF]
Chen W +6 more
europepmc +1 more source

