Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Diabetic retinopathy detection and classification using capsule networks

G Kalyani, B Janakiramaiah, A Karuna… - Complex & Intelligent …, 2023 - Springer
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who
suffer from diabetes. Early and timely detection of this problem is critical for a good …

Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy

M Khanna, LK Singh, S Thawkar, M Goyal - Multimedia Tools and …, 2023 - Springer
Diabetic Retinopathy (DR) is a consequence of diabetes mellitus that results in damage to
the retina's blood vessel networks. It is now the major cause of irreversible blindness among …

Military object detection in defense using multi-level capsule networks

B Janakiramaiah, G Kalyani, A Karuna, LVN Prasad… - Soft Computing, 2023 - Springer
Automatic target detection plays a significant role during war operations. The concept
behind automatic target detection in war is military object recognition from the captured …

A robust framework for severity detection of knee osteoarthritis using an efficient deep learning model

R Mahum, A Irtaza, MA El-Meligy, M Sharaf… - … Journal of Pattern …, 2023 - World Scientific
With the changing lifestyle, a large population suffers from a bone disease known as an
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …

The smart city-line in Saudi Arabia: issue and challenges

A Al-Sayed, F Al-Shammari, A Alshutayri… - Postmodern …, 2022 - lumenpublishing.com
As a futuristic emblem, smart cities represent a goal to provide all of the services required for
a high-quality existence while conserving natural resources to the maximum extent possible …

Knee osteoarthritis detection using an improved CenterNet with pixel-wise voting scheme

S Aladhadh, R Mahum - IEEE Access, 2023 - ieeexplore.ieee.org
To detect knee disease, radiologists have been utilizing multi-view images such as
computer tomography (CT) scans, MRIs, and X-rays. The cheapest method is X-ray to attain …

Model view controller (MVC) architecture and client-to-client file transfer protocol with binarized spiking neural network for building a smart home appliances control in …

R Yadawad, UP Kulkarni - International Journal of Information Technology, 2023 - Springer
In the time Internet of Things (IoT) the term “Smart” is mostly used because of its application
in various entities such as smart cities, smart homes, and smart cars. These are done by …

Intelligent video surveillance using enhanced deep belief based multilayered convolution neural network classification techniques

NK Kaliappan… - The …, 2022 - Wiley Online Library
Video surveillance has undergone numerous changes in the past few years and several
pieces of research have been carried out in this field. Object tracking is the significant task in …

System for ensuring the detection and elimination of fires in the building of the hydroelectric power station

F Shaazizov, D Shukurov… - IOP Conference Series …, 2021 - iopscience.iop.org
The aim of the work is to develop theoretical and methodological foundations for predicting
the likelihood of fires in the premises of hydroelectric power plants, as well as compiling …