FRCNN-based reinforcement learning for real-time vehicle detection, tracking and geolocation from UAS

CH Singh, V Mishra, K Jain, AK Shukla - Drones, 2022 - mdpi.com
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 …

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 …

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 …

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 …

Comparison of optimization algorithms based on swarm intelligence applied to convolutional neural networks for face recognition

P Melin, D Sánchez, O Castillo - International Journal of …, 2023 - journals.sagepub.com
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 …

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 …

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 …

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 …

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 …

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 …