Results 211 to 220 of about 183,434 (340)

Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance [PDF]

, 2019
Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei   +4 more
openalex   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Multi-view fusion based on graph convolutional network with attention mechanism for predicting miRNA related to drugs. [PDF]

PLoS Comput Biol
Sheng N, Liu Y, Gao L, Wang L, Huang L, Wang Y.   +5 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

A Gb/s Parallel Block-based Viterbi Decoder for Convolutional Codes on GPU [PDF]

, 2016
Hao Peng, Rongke Liu, Yi Hou, Ling Zhao
openalex   +1 more source

Gallbladder disease diagnosis from ultrasound using squeeze-and-excitation capsule network with convolutional bidirectional long short-term memory. [PDF]

Sci Rep
Jayanthi S, Kaur I, Lydia EL, Babu PR, Yoon JC, Yoon C, Joshi GP.   +6 more
europepmc   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

Sports activity (SA) recognition based on error correcting output codes (ECOC) and convolutional neural network (CNN) [PDF]

Lü Lyu, Yong Huang
openalex   +1 more source

Dynamic kernel generation through hybrid involution and convolution neural networks for leukemia and white blood cell classification. [PDF]

Sci Rep
Alshehri OM, Shaf A, Shakeel U, Ali T, Irfan M, Jalal MM, Altayar MA, Abu-Alghayth MH, Shmrany HA.   +8 more
europepmc   +1 more source

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source