Results 41 to 50 of about 157,808 (109)

Dual Focus-3D: A Hybrid Deep Learning Approach for Robust 3D Gaze Estimation

Sensors
Estimating gaze direction is a key task in computer vision, especially for understanding where a person is focusing their attention. It is essential for applications in assistive technology, medical diagnostics, virtual environments, and human–computer ...
Abderrahmen Bendimered, Rabah Iguernaissi, Mohamad Motasem Nawaf, Rim Cherif, Séverine Dubuisson, Djamal Merad   +5 more
doaj   +1 more source

Deep Metric Learning-Based Classification for Pavement Distress Images

Sensors
This study proposes a deep metric learning-based pavement distress classification method to address critical limitations in conventional approaches, including their dependency on large training datasets and inability to incrementally learn new categories.
Yuhui Li, Jiaqi Wang, Bo Lü, Hang Yang, Xiaotian Wu   +4 more
doaj   +1 more source

Research on Three-Axis Vibration Characteristics and Vehicle Axle Shape Identification of Cement Pavement Under Heavy Vehicle Loads Based on EMD–Energy Decoupling Method

Sensors
The structural integrity of cement concrete pavements, paramount for ensuring traffic safety and operational efficiency, faces mounting challenges from the escalating burden of heavy-duty vehicular traffic.
Pengpeng Li, Linbing Wang, Songli Yang, Zhoujing Ye   +3 more
doaj   +1 more source

Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: A Case Study

Sensors
Temperature forecasting is critical for public safety, environmental risk management, and energy conservation. However, reliable forecasting becomes challenging in regions where governmental institutions lack adequate measurement infrastructure.
Buket İşler, Şükrü Mustafa Kaya, Fahreddin Raşit Kılıç   +2 more
doaj   +1 more source

A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming

Sensors
Efficient individual identification is essential for advancing precision broiler farming. In this study, we propose YOLO-IFSC, a high-precision and lightweight face recognition framework specifically designed for dense broiler farming environments ...
Bin Gao, Yongmin Guo, Pengshen Zheng, Kaisi Yang, Changxi Chen   +4 more
doaj   +1 more source

Bias-Reduced Localization for Drone Swarm Based on Sensor Selection

Sensors
To address the problem of accurate localization of high-speed drone swarm intrusions, this paper adopts time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements, aiming to improve the performance of estimating the motion ...
Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang   +4 more
doaj   +1 more source

The Structural Types of the Polarization Detection Unit in Imaging Polarimeter Based on the Stokes Parameter Method

Sensors
Bio-inspired imaging polarimeters have significant applications in the field of detecting the polarization state of skylights. The polarization detection principle of polarization detection units in polarimeters is mostly based on the Stokes parameter ...
Yuanhao Li, Xiaohan Guo, Kai Zhang, Xiaoyang Li, Fang Kong, Ziying Jia   +5 more
doaj   +1 more source

LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection

Sensors
This paper presents a novel multi-view 3D object detection framework, Long-Term Spatial–Temporal Bird’s-Eye View (LST-BEV), designed to improve performance in autonomous driving.
Qijun Feng, Chunyang Zhao, Pengfei Liu, Zhichao Zhang, Yue Jin, Wanglin Tian   +5 more
doaj   +1 more source

Polyphosphate from Lactic Acid Bacteria: A Functional Molecule for Food and Health Applications

Foods
The linear polymer polyphosphate (polyP) is found across all three domains of life and fulfills diverse physiological functions, including phosphorus storage, chaperone activity, and stress tolerance.
Daniela Corrales, Cristina Alcántara, Vicente Monedero, Manuel Zúñiga   +3 more
doaj   +1 more source

A Quantitative Risk Assessment Model for Listeria monocytogenes in Ready-to-Eat Cantaloupe

Foods
This study introduces a farm-to-fork quantitative risk assessment (QRA) model for invasive listeriosis from ready-to-eat diced cantaloupe. The modular model comprises seven stages—preharvest (soil and irrigation contamination), harvest (cross ...
Laurent Guillier, Ursula Gonzales-Barron, Régis Pouillot, Juliana De Oliveira Mota, Ana Allende, Jovana Kovacevic, Claudia Guldimann, Aamir Fazil, Hamzah Al-Qadiri, Qingli Dong, Akio Hasegawa, Vasco Cadavez, Moez Sanaa   +12 more
doaj   +1 more source