Results 111 to 120 of about 103,607 (290)

MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li   +10 more
wiley   +1 more source

Unmanned aerial vehicles for human detection and recognition using neural-network model

open access: yesFrontiers in Neurorobotics
IntroductionRecognizing human actions is crucial for allowing machines to understand and recognize human behavior, with applications spanning video based surveillance systems, human-robot collaboration, sports analysis systems, and entertainment.
Yawar Abbas   +7 more
doaj   +1 more source

Severe, Non‐apneic Respiratory Dysfunction and Hypoxia following Generalized Convulsive Seizures

open access: yesAnnals of Neurology, EarlyView.
Objective Sudden unexpected death in epilepsy (SUDEP) is a devastating consequence of some generalized convulsive seizures (GCS). Recent work has focused on seizure related apnea as a biomarker of SUDEP risk, frequently without characterizing the adequacy of non‐apneic ventilation or identifying other dysfunctional breathing patterns.
Haley E. Pysick   +9 more
wiley   +1 more source

On the Molecular Diffusion Dynamics Between Subcutaneous Tissue and Microneedles for Wearable Continuous Glucose Monitoring

open access: yesAdvanced NanoBiomed Research, EarlyView.
In this study, we investigate the dynamics of glucose diffusion between subcutaneous tissue and hydrogel‐filled microneedles. Specifically, we examine how hydrogel thickness, microneedle size, and glucose concentration influence diffusion. This study provides an experimental reference to the wearable biosensor community researching microneedle‐based ...
Wensheng Lin   +9 more
wiley   +1 more source

Expressive Gaussian Human Avatars from Monocular RGB Video

open access: yesAdvances in Neural Information Processing Systems 37
Nuanced expressiveness, particularly through fine-grained hand and facial expressions, is pivotal for enhancing the realism and vitality of digital human representations. In this work, we focus on investigating the expressiveness of human avatars when learned from monocular RGB video; a setting that introduces new challenges in capturing and animating ...
Hu, Hezhen   +6 more
openaire   +2 more sources

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski   +4 more
wiley   +1 more source

Empowering Efficient Spatio-Temporal Learning with a 3D CNN for Pose-Based Action Recognition

open access: yesSensors
Action recognition based on 3D heatmap volumes has received increasing attention recently because it is suitable for application to 3D CNNs to improve the recognition performance of deep networks.
Ziliang Ren, Xiongjiang Xiao, Huabei Nie
doaj   +1 more source

Visual Object Tracking on Multi-modal RGB-D Videos: A Review [PDF]

open access: green, 2022
Xue‐Feng Zhu   +2 more
openalex   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri   +8 more
wiley   +1 more source

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