Phishing attacks detection using machine learning approach
Evolving digital transformation has exacerbated cybersecurity threats globally. Digitization
expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of …
expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of …
Phishing attacks detection using deep learning approach
In the COVID-19 pandemic, people are enforced to adopt 'work from home'policy. The
Internet has become an effective channel for social interactions nowadays. Peoples' …
Internet has become an effective channel for social interactions nowadays. Peoples' …
Bank fraud detection using community detection algorithm
Bank fraud is a federal crime that involves fraudulent attempts aims for monetary gains by
deceiving financial institutions. Every year, banks and financial institutions lose billions due …
deceiving financial institutions. Every year, banks and financial institutions lose billions due …
Anomaly detection in vehicle traffic with image processing and machine learning
SS Sarikan, AM Ozbayoglu - Procedia Computer Science, 2018 - Elsevier
Anomaly detection is an important part of an Intelligent Transportation System. In this study,
image processing and machine learning techniques are used to detect anomalies in vehicle …
image processing and machine learning techniques are used to detect anomalies in vehicle …
Bengali hand sign gestures recognition using convolutional neural network
Sign language and spoken language, both of them are generated from the same human
brain but their linguistic and physical transmission varies greatly from each other. The deaf …
brain but their linguistic and physical transmission varies greatly from each other. The deaf …
Improvement in the UAV position estimation with low-cost GPS, INS and vision-based system: Application to a quadrotor UAV
In this paper, we develop a position estimation system for Unmanned Aerial Vehicles formed
by hardware and software. It is based on low-cost devices: GPS, commercial autopilot …
by hardware and software. It is based on low-cost devices: GPS, commercial autopilot …
Moving vehicle video detection combining ViBe and inter-frame difference
W Sun, H Du, G Ma, S Shi… - International Journal of …, 2020 - inderscienceonline.com
It is difficult with traditional methods to realise real-time and robust detection of moving
vehicles under complex traffic scenes. In this paper, a moving vehicle video detection …
vehicles under complex traffic scenes. In this paper, a moving vehicle video detection …
Dynamic strategy to use optimum memory space in real-time video surveillance
T Biswas, D Bhattacharya, G Mandal - Journal of Ambient Intelligence and …, 2023 - Springer
In present days real-time video surveillance is a very essential aspect of establishing safety,
observing traffic, and detecting violence and crimes. Intelligent video surveillance (IVS) is …
observing traffic, and detecting violence and crimes. Intelligent video surveillance (IVS) is …
Automated traffic detection system based on image processing
F Faisal, SK Das, AH Siddique… - Journal of …, 2020 - al-kindipublisher.com
This paper proposes a low-cost automated traffic detection system based on image
processing. Dhaka is one of the crowded cities in the world with highly challenging traffic …
processing. Dhaka is one of the crowded cities in the world with highly challenging traffic …
Real-Time Object Detection Using Haar Cascade Classifier for Robot Cars
S Gharge, A Patil, S Patel, V Shetty… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Ensuring accurate detection and identification of objects in the environment is crucial for the
safe and efficient operation of autonomous vehicles in today's world. The Haar Cascade …
safe and efficient operation of autonomous vehicles in today's world. The Haar Cascade …