FRCNN-based reinforcement learning for real-time vehicle detection, tracking and geolocation from UAS
In the last few years, uncrewed aerial systems (UASs) have been broadly employed for
many applications including urban traffic monitoring. However, in the detection, tracking, and …
many applications including urban traffic monitoring. However, in the detection, tracking, and …
Investigating yolov5 for search and rescue operations involving uavs: Investigating yolo5
N Bachir, Q Memon - Proceedings of the 5th International Conference on …, 2022 - dl.acm.org
Mountain recreation has become more popular, with mountaineering, rock climbing, skiing,
mountain biking, hiking, and mushroom picking among the most popular sports including …
mountain biking, hiking, and mushroom picking among the most popular sports including …
Soft computing and image processing techniques for COVID-19 prediction in lung CT scan images
NVL Appari, MG Kanojia - International Journal of Hybrid …, 2022 - content.iospress.com
COVID-19 is a contagious respiratory illness that can be passed from person to person.
Because it affects the lungs, damages blood arteries, and causes cardiac problems, COVID …
Because it affects the lungs, damages blood arteries, and causes cardiac problems, COVID …
Development of a High-Precision and Lightweight Detector and Dataset for Construction-Related Vehicles
W Liu, S Zhang, L Zhou, N Luo, M Xu - Electronics, 2023 - mdpi.com
Effective vehicle detection plays a crucial role in various applications in cities, including
traffic management, urban planning, vehicle transport, and surveillance systems. However …
traffic management, urban planning, vehicle transport, and surveillance systems. However …
Comparison of optimization algorithms based on swarm intelligence applied to convolutional neural networks for face recognition
In this work, a comparison of optimization techniques based on swarm intelligence to design
Convolutional Neural Networks is performed. The optimization techniques used in this …
Convolutional Neural Networks is performed. The optimization techniques used in this …
Feature matching for 3D AR: Review from handcrafted methods to deep learning
H Halmaoui, A Haqiq - International Journal of Hybrid …, 2021 - content.iospress.com
Abstract 3D augmented reality (AR) has a photometric aspect of 3D rendering and a
geometric aspect of camera tracking. In this paper, we will discuss the second aspect, which …
geometric aspect of camera tracking. In this paper, we will discuss the second aspect, which …
A Vehicle Detection Method Based on Convolutional Neural Network Optimized by Genetic Algorithm
Q Sun - 2024 12th International Conference on Intelligent …, 2024 - ieeexplore.ieee.org
This manuscript introduces an advanced vehicle target detection algorithm which leverages
the integration of improved underside shadow characteristics with a Convolutional Neural …
the integration of improved underside shadow characteristics with a Convolutional Neural …
Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM.
Z **g, QI Guohong, C **gzhao… - Food & …, 2024 - search.ebscohost.com
Abstract [Objective] To improve the classification accuracy of edible vegetable oils, an
identification model based on three-dimensional fluorescence spectroscopy and ISSA-SVM …
identification model based on three-dimensional fluorescence spectroscopy and ISSA-SVM …
DEEP LEARNING BASED SEGMENTATION AND CLASSIFICATION FOR IMPROVED BREAST CANCER DETECTION
BKAK Asadi - 2022 - scholarworks.uaeu.ac.ae
Breast Cancer is a leading killer of women globally. It is a serious health concern caused by
calcifications or abnormal tissue growth in the breast. Doing a screening and identifying the …
calcifications or abnormal tissue growth in the breast. Doing a screening and identifying the …
Airborne Sensor and Perception Management: Context-Based Selection of Specialized CNNs to Ensure Reliable and Trustworthy Object Detection
M Ruß, P Stütz - International Conference on Modelling and Simulation …, 2022 - Springer
Despite algorithmic advances in the field of image processing as well as modern computer
architectures, automated sensor data processing that guarantees reliable and robust …
architectures, automated sensor data processing that guarantees reliable and robust …