Detecting SARS-CoV-2 from chest X-Ray using artificial intelligence
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN)
methods have been demonstrated to detect and diagnose the onset of COVID-19, the …
methods have been demonstrated to detect and diagnose the onset of COVID-19, the …
Monkeypox diagnosis with interpretable deep learning
As the world gradually recovers from the impacts of COVID-19, the recent global spread of
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
4D: a real-time driver drowsiness detector using deep learning
There are a variety of potential uses for the classification of eye conditions, including
tiredness detection, psychological condition evaluation, etc. Because of its significance …
tiredness detection, psychological condition evaluation, etc. Because of its significance …
Empirical study of autism spectrum disorder diagnosis using facial images by improved transfer learning approach
Autism spectrum disorder (ASD) is a neurological illness characterized by deficits in
cognition, physical activities, and social skills. There is no specific medication to treat this …
cognition, physical activities, and social skills. There is no specific medication to treat this …
Evaluating the performance of eigenface, fisherface, and local binary pattern histogram-based facial recognition methods under various weather conditions
Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored
by many researchers and practitioners over the past few decades. Therefore, this paper …
by many researchers and practitioners over the past few decades. Therefore, this paper …
Transfer learning and local interpretable model agnostic based visual approach in monkeypox disease detection and classification: A deep learning insights
The recent development of Monkeypox disease among various nations poses a global
pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its …
pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its …
Optimized Bezier curve based intensity mapping scheme for low light image enhancement
M Veluchamy, AK Bhandari… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Low light enhancement has been very challenging for images acquired under extremely-low
light circumstances. In this article, an optimized Bezier curve based intensity mapping …
light circumstances. In this article, an optimized Bezier curve based intensity mapping …
Driver drowsiness detection using ensemble convolutional neural networks on YawDD
Driver drowsiness detection using videos/images is one of the most essential areas in
today's time for driver safety. The development of deep learning techniques, notably …
today's time for driver safety. The development of deep learning techniques, notably …
Pengenalan Wajah dengan Menggunakan Metode Local Binary Patterns Histograms (LBPH)
R Kosasih, C Daomara - Jurnal Media Informatika …, 2021 - ejurnal.stmik-budidarma.ac.id
Abstrak− Pesatnya perkembangan teknologi yang terjadi di dunia memberikan dampak
besar ke berbagai bidang seperti dalam bidang administrasi dan pendataan. Salah satu …
besar ke berbagai bidang seperti dalam bidang administrasi dan pendataan. Salah satu …
Defect analysis of 3D printed object using transfer learning approaches
Additive manufacturing (AM) is rapidly gaining traction across diverse industries, including
healthcare, aerospace, and automotive, mainly due to its ability to enhance production …
healthcare, aerospace, and automotive, mainly due to its ability to enhance production …