A deep-learning approach to driver drowsiness detection

MIB Ahmed, H Alabdulkarem, F Alomair, D Aldossary… - Safety, 2023 - mdpi.com
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Road surface classification based on LBP and GLCM features using kNN classifier

AA Fauzi, F Utaminingrum, F Ramdani - Bulletin of Electrical Engineering …, 2020 - beei.org
Abstract Autonomous Ground Vehicle (UGV) technology has shown a fast development this
past year and proven to be useful. The use of UGV technology is restricted on a particular …

Mammogram breast cancer classification using gray-level co-occurrence matrix and support vector machine

SJA Sarosa, F Utaminingrum… - … and technology (SIET), 2018 - ieeexplore.ieee.org
Breast cancer is the most common cancer in women. Breast cancer is also the deadliest
cancer in women. In 2012, there were 19,750 breast cancer patients in Indonesia dead …

Iris segmentation for non-ideal Iris biometric systems

F Jan, S Alrashed, N Min-Allah - Multimedia Tools and Applications, 2024 - Springer
At present, iris recognition systems are highly demanded for covert applications such as
monitoring terrorist activities at public places, walk-through portals, smart cities, etc. In …

Mobile-based driver sleepiness detection using facial landmarks and analysis of EAR values

C Huda, H Tolle, F Utaminingrum - 2020 - learntechlib.org
Sleepiness during driving is a dangerous problem faced by all countries. Many studies have
been conducted and stated that sleepiness threatens the driver himself and other peoples …

Object recognition with hybrid deep learning methods and testing on embedded systems

YS Taşpınar, M Selek - … of Intelligent Systems and Applications in …, 2020 - gcris.ktun.edu.tr
Object recognition applications can be made with deep neural networks. However, this
process may require intensive processing load. For this purpose, hybrid object recognition …

[PDF][PDF] An automatic coffee plant diseases identification using hybrid approaches of image processing and decision tree

AD Mengistu, SG Mengistu… - Indones. J. Electr. Eng …, 2018 - academia.edu
Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD) and Coffee Wilt Disease (CWD) are
the three main diseases that attack coffee plants. This paper presents the identification of …

[PDF][PDF] Eye movement and blink detection for selecting menu on-screen display using probability analysis based on facial landmark

F Utaminingrum, AD Purwanto, MRR Masruri… - International Journal of …, 2021 - ijicic.org
The menu selection on a monitor screen is usually achieved using a remote control, mobile
device, mouse, touch system embedded into a monitor screen, or a keypad or keyboard …

Penerapan Algoritma Viola-Jones Untuk Deteksi Masker Covid-19 Di Politeknik Perkeretaapian Indonesia Madiun

T Arifianto, S Sunardi - JATISI (Jurnal Teknik Informatika dan …, 2021 - jurnal.mdp.ac.id
Abstrak Algoritma Viola-Jones merupakan salah satu algoritma yang sering digunakan
untuk mendeteksi wajah. Sistem pengenalan wajah manusia merupakan salah satu …

[PDF][PDF] Alphabet Sign Language Recognition Using K-Nearest Neighbor Optimization.

F Utaminingrum, IK Somawirata, GD Naviri - J. Comput., 2019 - academia.edu
Hand gesture recognition is an interesting and challenging study, especially for human
interaction with computer. There are many method can used for hand gesture recognizing …