Results 241 to 250 of about 74,320 (358)

Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios

Advanced Intelligent Systems, EarlyView.
This study presents Hi‐LabSpermTracking, a long‐duration, expert‐annotated sperm motility dataset for detection and tracking. It evaluates You Only Look Once version 8, Real‐Time Detection Transformer, and Simple Online and Realtime Tracking with a Deep Association Metric in three scenarios. The mean ensemble method improves tracking performance. Sperm
Abdulsamet Aktas, Gorkem Serbes, Hakkı Uzun, Merve Huner Yigit, Nizamettin Aydin, Hamza Osman Ilhan   +5 more
wiley   +1 more source

Latest Developments in "Adaptive Enrichment" Clinical Trial Designs in Oncology. [PDF]

Ther Innov Regul Sci
Tu Y, Renfro LA.
europepmc   +1 more source

Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies

Advanced Intelligent Systems, EarlyView.
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli, Berke Cansiz, Nizamettin Aydin, Gorkem Serbes   +3 more
wiley   +1 more source

Exploring the Global Legacy of Professor Calayampudi Radhakrishna Rao: A Review of His Life and Biostatistical Contributions. [PDF]

Cureus
L NR, Johnson S, Rajan H, Kaushik PB.
europepmc   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

New classes of difference cum-ratio-type exponential estimators for a finite population variance in stratified random sampling. [PDF]

Heliyon
Daraz U, Wu J, Alomair MA, Aldoghan LA.
europepmc   +1 more source

Infrared‐Driven Polymer Intelligence

Advanced Intelligent Systems, EarlyView.
Infrared spectroscopy is combined with machine learning to accurately predict the glass transition temperature of polymers and enable real‐time process control. The approach outperforms traditional molecular fingerprints by capturing subtle spectral variations due to impurities and additives.
Gorkem Anil Al, Mehryar Jafari, Uriel Martinez‐Hernandez, Hannah S. Leese, Bernardo Castro‐Dominguez   +4 more
wiley   +1 more source

BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data. [PDF]

IEEE Int Conf Mob Data Manag
Zeighami S, Shahabi C.
europepmc   +1 more source

Does the abiotic environment influence the distribution of flower and fruit colors?

American Journal of Botany, EarlyView.
Abstract Premise Color in flowers and fruits carries multiple functions, from attracting animal partners (pollinators, dispersers) to mitigating environmental stress (cold, drought, UV‐B). With research historically focusing on biotic interactions as selective agents, however, it remains unclear whether abiotic stressors impact flower and fruit colors ...
Agnes S. Dellinger, Leah Meier, Stacey Smith, Miranda Sinnott‐Armstrong   +3 more
wiley   +1 more source

An optimal estimation approach in non-response under simple random sampling utilizing dual auxiliary variable for finite distribution function. [PDF]

Heliyon
Junaid M, Manzoor S, Hussain S, Bakr ME, Balogun OS, Rasheed S.   +5 more
europepmc   +1 more source