Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …
computers, has experienced rapid progress and significant contributions. This paper traces …
Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model
C Liu, Y Wu, J Liu, Z Sun, H Xu - Applied Sciences, 2021 - mdpi.com
Insulator fault detection is one of the essential tasks for high-voltage transmission lines'
intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) …
intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) …
Automated bone marrow cytology using deep learning to generate a histogram of cell types
Background Bone marrow cytology is required to make a hematological diagnosis,
influencing critical clinical decision points in hematology. However, bone marrow cytology is …
influencing critical clinical decision points in hematology. However, bone marrow cytology is …
MTI-YOLO: A light-weight and real-time deep neural network for insulator detection in complex aerial images
C Liu, Y Wu, J Liu, J Han - Energies, 2021 - mdpi.com
Insulator detection is an essential task for the safety and reliable operation of intelligent
grids. Owing to insulator images including various background interferences, most …
grids. Owing to insulator images including various background interferences, most …
Deep learning to detect built cultural heritage from satellite imagery.-Spatial distribution and size of vernacular houses in Sumba, Indonesia
Abstract In Sumba Island–Indonesia, the implantation of vernacular houses, inside and
outside traditional villages, is considered to be an efficient proxy for the on-going complex …
outside traditional villages, is considered to be an efficient proxy for the on-going complex …
[PDF][PDF] Deep learning approaches for intrusion detection
Recently, computer networks faced a big challenge, which is that various malicious attacks
are growing daily. Intrusion detection is one of the leading research problems in network …
are growing daily. Intrusion detection is one of the leading research problems in network …
Computer vision-based robotic arm for object color, shape, and size detection
M Abdullah-Al-Noman, AN Eva… - Journal of Robotics …, 2022 - journal.umy.ac.id
Remote sensing image target detection method based on refined feature extraction
B Tian, H Chen - Applied Sciences, 2023 - mdpi.com
To address the challenges posed by the large scale and dense distribution of small targets
in remote sensing images, as well as the issues of missed detection and false detection, this …
in remote sensing images, as well as the issues of missed detection and false detection, this …
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …