FORENSIC ANALYSIS OF DRONE COLLISION WITH TRANSFER LEARNING
Jordanian Journal of Computers and Information Technology, 2023 Drones are one of devices that are used in many different activities. There is a time when drones have accidents, and authorities need to find the cause. Drone forensics is used to determine the cause of an accident. The analysis phase of drone forensics
Arda Surya Editya +2 more
doaj +1 more source
An End-to-End Intelligent Fault Diagnosis Application for Rolling Bearing Based on MobileNet
IEEE Access, 2021 To find out the hidden danger in the industrial production process in time, it is necessary to monitor the health condition of the key components of the mechanical system in operation.
Wenbing Yu, Pin Lv
doaj +1 more source
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy [PDF]
, 2020 With the advent of agriculture 3.0 and 4.0, researchers are increasingly focusing on the development of innovative smart farming and precision agriculture technologies by introducing automation and robotics into the agricultural processes.
Aghi, Diego +2 more
core +2 more sources
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
, 2020 Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of skin cells to UV
A Esteva +28 more
core +1 more source
Object Recognition with SSD MobileNet Pre-Trained Model in the Cashier Application
Jurnal Sisfokom, 2023 Object recognition is a type of image processing technique that is frequently employed in current applications such as facial identification, vehicle detection, and automated cashiers. One issue with barcode and RFID cashier apps is that they cannot scan
Nazil Ilham Burhanudin +4 more
doaj +1 more source
Digital Diagnosis of Hand, Foot, and Mouth Disease Using Hybrid Deep Neural Networks
IEEE Access, 2021 Hand, Foot and Mouth Disease (HFMD) is a highly contagious paediatric disease showing up symptoms like fever, diarrhoea, oral ulcers and rashes on the hands and foot, and even in the mouth.
Suraj Verma +5 more
doaj +1 more source
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving [PDF]
, 2019 Autonomous driving has harsh requirements of small model size and energy efficiency, in order to enable the embedded system to achieve real-time on-board object detection.
López, Antonio M. +3 more
core +2 more sources
Exploring of the MobileNet V1 and MobileNet V2 models on NVIDIA Jetson Nano microcomputer
Journal of Physics: Conference Series, 2022 Abstract This article is devoted to the study of the accuracy of MobileNet V1 and MobileNet V2 models when recognizing pedestrians at different times of the year, with changing distance and position. According to the test results, the pros and cons of the models were identified, as well as their capabilities and dependencies. Models were
G Edel, V Kapustin
openaire +1 more source
Performance Analysis of Deep Learning Algorithms in Diagnosis of Malaria Disease
Diagnostics, 2023 Malaria is predominant in many subtropical nations with little health-monitoring infrastructure. To forecast malaria and condense the disease’s impact on the population, time series prediction models are necessary. The conventional technique of detecting
K. Hemachandran +6 more
doaj +1 more source
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors [PDF]
, 2018 For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions. In particular, long wave infrared (LWIR) sensors that receive predominantly emitted radiation have the ...
Connor, Barry +4 more
core +2 more sources