A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

A review: Object detection models

AK Shetty, I Saha, RM Sanghvi… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Object detection and recognition is an integral part of Computer Vision. It has a multitude of
applications ranging from character recognition to video analysis. Object detection now play …

Automated license plate recognition: a survey on methods and techniques

J Shashirangana, H Padmasiri, D Meedeniya… - IEEE …, 2020 - ieeexplore.ieee.org
With the explosive growth in the number of vehicles in use, automated license plate
recognition (ALPR) systems are required for a wide range of tasks such as law enforcement …

A new deep learning-based methodology for video deepfake detection using XGBoost

A Ismail, M Elpeltagy, M S. Zaki, K Eldahshan - Sensors, 2021 - mdpi.com
Currently, face-swapping deepfake techniques are widely spread, generating a significant
number of highly realistic fake videos that threaten the privacy of people and countries. Due …

Real-time goat face recognition using convolutional neural network

M Billah, X Wang, J Yu, Y Jiang - Computers and Electronics in Agriculture, 2022 - Elsevier
Automatic identification of individual animals is an important step towards achieving
accurate breeding histories, significant contributions to breeding and genetic management …

The face mask detection for preventing the spread of COVID-19 at Politeknik Negeri Batam

S Susanto, FA Putra, R Analia… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
After the new Coronavirus disease (COVID-19) case spread rapidly in Wuhan-China in
December 2019, World Health Organization (WHO) confirmed that this is a dangerous virus …

Evaluating the evolution of yolo (you only look once) models: A comprehensive benchmark study of yolo11 and its predecessors

N Jegham, CY Koh, M Abdelatti, A Hendawi - arXiv preprint arXiv …, 2024 - arxiv.org
This study presents a comprehensive benchmark analysis of various YOLO (You Only Look
Once) algorithms, from YOLOv3 to the newest addition. It represents the first research to …

Forecasting dengue hotspots associated with variation in meteorological parameters using regression and time series models

S Patil, S Pandya - Frontiers in public health, 2021 - frontiersin.org
For forecasting the spread of dengue, monitoring climate change and its effects specific to
the disease is necessary. Dengue is one of the most rapidly spreading vector-borne …

A Review of Precision Agriculture Methodologies, Challenges, and Applications

M Malek, B Dhiraj, D Upadhyaya, D Patel - Emerging Technologies for …, 2022 - Springer
Internet of things (IoT) furnished recent cultivated procedures can alter the prevailing
agriculture mechanisms by computerizing the complete technique of farming since crop …

Real-time human recognition at night via integrated face and gait recognition technologies

SAF Manssor, S Sun, MAM Elhassan - Sensors, 2021 - mdpi.com
Human recognition technology is a task that determines the people existing in images with
the purpose of identifying them. However, automatic human recognition at night is still a …