A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
Handcrafted deep-feature-based brain tumor detection and classification using mri images
P Mohan, S Veerappampalayam Easwaramoorthy… - Electronics, 2022 - mdpi.com
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
Artificial intelligence based customer churn prediction model for business markets
J Faritha Banu, S Neelakandan… - Computational …, 2022 - Wiley Online Library
The introduction of artificial intelligence (AI) and machine learning (ML) technologies in
recent years has resulted in improved company performance. Customer churn forecast is a …
recent years has resulted in improved company performance. Customer churn forecast is a …
Artificial neural networks-based improved Levenberg–Marquardt neural network for energy efficiency and anomaly detection in WSN
One of the key goals in the design of the networks is to increase the lifespan of wireless
sensor networks (WSNs). Using different models of intelligent energy management could …
sensor networks (WSNs). Using different models of intelligent energy management could …
Intelligent multimodal pedestrian detection using hybrid metaheuristic optimization with deep learning model
J Kolluri, R Das - Image and Vision Computing, 2023 - Elsevier
For video surveillance, pedestrian detection assists in providing baseline data for crowd
monitoring, people counting, and event detection; for smart transport system, pedestrian …
monitoring, people counting, and event detection; for smart transport system, pedestrian …
Robust facial expression recognition using an evolutionary algorithm with a deep learning model
M Arul Vinayakam Rajasimman, RK Manoharan… - Applied Sciences, 2022 - mdpi.com
The most important component that can express a person's mental condition is facial
expressions. A human can communicate around 55% of information non-verbally and the …
expressions. A human can communicate around 55% of information non-verbally and the …
Deep convolutional neural network with Kalman filter based objected tracking and detection in underwater communications
Underwater autonomous operation is becoming increasingly crucial as a means to escape
the hazardous high-pressure deep-sea environment. As a result, it is essential for there to be …
the hazardous high-pressure deep-sea environment. As a result, it is essential for there to be …
Face Recognition for Automatic Border Control: A Systematic Literature Review
F Hidayat, U Elviani, GB Situmorang… - IEEE …, 2024 - ieeexplore.ieee.org
Context: Facial recognition is one aspect of research that still has broad potential for
research and development, especially as a security system for automatic border control …
research and development, especially as a security system for automatic border control …
Automatic Player Face Detection and Recognition for Players in Cricket Games
In this paper, we have developed an augmented reality cricket broadcasting application that
uses player face recognition during play to display player personal data. The system utilizes …
uses player face recognition during play to display player personal data. The system utilizes …
A multi-layer encryption with AES and Twofish encryption algorithm for smart assistant security
By managing Internet of Things devices, smart home automation solutions enable
consumers to transform their homes into smart homes. Smartphone apps enable users to …
consumers to transform their homes into smart homes. Smartphone apps enable users to …