Results 121 to 130 of about 1,365,020 (307)

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

, 2017
A novel deep neural network training paradigm that exploits the conjoint information in multiple heterogeneous sources is proposed. Specifically, in a RGB-D based action recognition task, it cooperatively trains a single convolutional neural network ...
Li, Wanqing, Liu, Xinwang, Ogunbona, Philip, Wan, Jun, Wang, Pichao   +4 more
core   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Mimicking Life: Autonomous Oscillating Artificial Cilia Driven by Chemical Power

Advanced Intelligent Systems, EarlyView.
The synthesis and motion analysis of chemically actuated, individually autonomous artificial cilia are presented. Driven by an internal chemical reaction, the self‐driven individual cilia require no external stimuli. They undergo periodic oscillatory motion with a 3D beat pattern and exhibit chemotactic shifts, reminiscent of biological systems.
Rajata Suvra Chakrovorty, Yaqeen Salatneh Ashqer, Suzanne Ahmed   +2 more
wiley   +1 more source

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

Frontiers 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, Naif Al Mudawi, Bayan Alabdullah, Touseef Sadiq, Asaad Algarni, Hameedur Rahman, Ahmad Jalal, Ahmad Jalal   +7 more
doaj   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

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

Annals 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, Rup K. Sainju, Roshni Nair, Deidre N. Dragon, Eduardo Bravo, Laura Vilella, Xiaojin Li, Samden D. Lhatoo, George B. Richerson, Brian K. Gehlbach   +9 more
wiley   +1 more source

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

Sensors
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

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

Archaeological 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, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

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

ENERGY &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, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source