A new malware classification framework based on deep learning algorithms

Ö Aslan, AA Yilmaz - Ieee Access, 2021 - ieeexplore.ieee.org
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …

Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

N Youssouf - Heliyon, 2022 - cell.com
Autonomous driving cars are becoming popular everywhere and the need for a robust traffic
sign recognition system that ensures safety by recognizing traffic signs accurately and fast is …

[HTML][HTML] Real-time Bhutanese license plate localization using YOLO

Y Jamtsho, P Riyamongkol, R Waranusast - ICT Express, 2020 - Elsevier
Abstract The Automatic License Plate Recognition (ALPR) is one of the intelligent
transportation systems which provides a safe and secure mode of transportation. In ALPR …

Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles

MO Yusuf, M Hanzla, N Al Mudawi, T Sadiq… - Frontiers in …, 2024 - frontiersin.org
Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

Vehicle detection and classification: a review

VK Kiran, P Parida, S Dash - International Conference on …, 2020 - books.google.com
Smart traffic and information systems require the collection of traffic data from respective
sensors for regulation of traffic. In this regard, surveillance cameras have been installed in …

A novel action recognition framework based on deep-learning and genetic algorithms

AA Yilmaz, MS Guzel, E Bostanci, I Askerzade - IEEE Access, 2020 - ieeexplore.ieee.org
Recognition of human actions in partially cluttered environments is an important research
field of computer vision and human-computer interaction. This field has recently garnered …

[PDF][PDF] An automatic framework for number plate detection using ocr and deep learning approach

Y Shambharkar, S Salagrama, K Sharma… - … Journal of Advanced …, 2023 - researchgate.net
The use of automatic number plate detection devices in safety, commercial, and security has
increased over the past few years. Number plate detection using computer vision is used to …

Audio-vision emergency vehicle detection

VT Tran, WH Tsai - IEEE sensors Journal, 2021 - ieeexplore.ieee.org
Emergency vehicles (EVs) are permitted to travel at high speed to quickly reach the
destination with the aid of audible and visual warning signals, and other road users are …

Deep learning‐based vehicle detection with synthetic image data

Y Wang, W Deng, Z Liu, J Wang - IET Intelligent Transport …, 2019 - Wiley Online Library
Deep convolutional neural network (CNN)‐based object detectors perform better than other
kinds of object detectors in recent development. Training CNNs needs large amounts of …

Intrusion detection in computer networks using optimized machine learning algorithms

AA Yilmaz - 2022 3rd International Informatics and Software …, 2022 - ieeexplore.ieee.org
Intrusion detection systems (IDSs) are employed to maintain computer networks from cyber
attacks. Here, the aim is to detect intrusions once the data is transmitted across the internet …