Results 81 to 90 of about 3,626 (230)
Time Series Embedding Methods for Classification Tasks: A Review
ABSTRACT Time series analysis has become crucial in various fields, from engineering and finance to healthcare and social sciences. Due to their multidimensional nature, time series often need to be embedded into a fixed‐dimensional feature space to enable processing with various machine learning algorithms.
Habib Irani +3 more
wiley +1 more source
RESP2, an enhanced antibody discovery pipeline for multi‐target and multi‐property optimization, identifies antibodies with optimized developability and broad affinity to multiple antigen variants. In silico evaluation shows RESP2 outperforms leading AI methods, achieving ≥85% success rates.
Jonathan Parkinson +3 more
wiley +1 more source
This study presents diPaRIS, a deep learning method designed to predict dynamic protein‐ RNA interactions with enhanced accuracy. By integrating RNA structures in vivo through a novel encoding scheme for nucleotide correlations, diPaRIS improves the interpretability of binding motifs and outperforms current state‐of‐the‐art methods across multiple ...
Lishen Zhang +5 more
wiley +1 more source
Transmitter Diversity Gain Technique Aided Irregular Channel Coding for Mobile Video Transmission. [PDF]
Minallah N +4 more
europepmc +1 more source
This study analyzes small‐displacement stereotypical behaviors of multiple captive slow lorises and proposes a new method that utilizes automatic tracking and the analysis of the cyclical changes in movement amplitude. By employing the AnimalYOLO‐Bytetrack multi‐target tracking network to monitor and quantify the movements of slow lorises, a detection ...
Ziqi Yang +12 more
wiley +1 more source
Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches. [PDF]
Jo Y +7 more
europepmc +1 more source
This study proposes CRIBC, an advanced Named Entity Recognition (NER) model tailored for Chinese medical text processing. By integrating Chinese‐RoBERTa‐WWM‐EXT with BiLSTM‐CRF and IDCNN, CRIBC enables more accurate entity extraction and knowledge representation.
Yiqing Xu +2 more
wiley +1 more source
IYOLO-NL: An improved you only look once and none left object detector for real-time face mask detection. [PDF]
Zhou Y.
europepmc +1 more source
Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities
Region ModalMix is a data augmentation strategy that leverages brain parcellations to improve MRI‐based tumor segmentation under missing modality conditions. By mixing anatomical regions across available modalities during training, our framework enhances model robustness, supporting more reliable decision making with incomplete multimodal neuroimaging ...
Diala Lteif +4 more
wiley +1 more source
We quantify domain‐shift impacts of three state‐of‐the‐art deep learning models for fiber orientation estimation in dMRI of neonatal and baby brains, across age, scanner, input variations, target output ground truths, and demonstrate how fine‐tuning and data harmonization strategies improve model robustness for clinical and research applications ...
Rizhong Lin +6 more
wiley +1 more source

