Search Results - "Sareer Ul Amin"

Convergence Enhancement of Super-Twisting Sliding Mode Control Using Artificial Neural Network for DFIG-Based Wind Energy Conversion Systems by Sami, Irfan, Ullah, Shafaat, Amin, Sareer Ul, Al-Durra, Ahmed, Ullah, Nasim, Ro, JongSuk

“…The smooth and robust injection of wind power into the utility grid requires stable, robust, and simple control strategies. The super-twisting sliding mode…”
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Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules by Ul Amin, Sareer, Kim, Bumsoo, Jung, Yonghoon, Seo, Sanghyun, Park, Sangoh

“…Surveillance cameras produce vast amounts of video data, posing a challenge for analysts due to the infrequent occurrence of unusual events. To address this,…”
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Enhanced anomaly detection in pandemic surveillance videos: An attention approach with EfficientNet-B0 and CBAM integration by Amin, Sareer Ul, Abbas, Muhammad Sibtain, Kim, Bumsoo, Jung, Yonghoon, Seo, Sanghyun

“…We present a novel system for anomaly detection in surveillance videos, specifically focusing on identifying instances where individuals deviate from public…”
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Deep learning based active learning technique for data annotation and improve the overall performance of classification models by Amin, Sareer Ul, Hussain, Adnan, Kim, Bumsoo, Seo, Sanghyun

“…Deep learning (DL) models achieved a lot of success due to the availability of labeled training data. In contrast, labeling a huge amount of data by a human is…”
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An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach by Amin, Sareer Ul, Taj, Sher, Hussain, Adnan, Seo, Sanghyun

“…The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images…”
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Serious Games in Science Education. A Systematic Literature Review by Mohib Ullah, Sareer Ul Amin, Muhammad Munsif, Utkurbek Safaev, Habib Khan, Salman Khan, Habib Ullah

“…Teaching science through computer games, simulations, and artificial intelligence (AI) is an increasingly active research field. To this end, we conducted a…”
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Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection by Niaz, Asim, Ul Amin, Sareer, Soomro, Shafiullah, Zia, Hamza, Nam Choi, Kwang

“…Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the…”
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Corrections to "Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection" by Niaz, Asim, Ul Amin, Sareer, Soomro, Shafiullah, Zia, Hamza, Choi, Kwang Nam

“…Presents corrections to the paper, (Corrections to "Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection")…”
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Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Khan, Noreen Fayyaz, Amin, Sareer Ul, Jan, Zahoor, Yan, Changhui

“…Cartoon movies are a primary source of entertainment for children. However, concerns arise when these movies inadvertently expose children to violent scenes…”
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An Automated Chest X-Ray Image Analysis for Covid-19 and Pneumonia Diagnosis Using Deep Ensemble Strategy by Hussain, Adnan, Amin, Sareer Ul, Lee, Hunjoo, Khan, Asma, Khan, Noreen Fayyaz, Seo, Sanghyun

“…Precise and timely diagnosis of Covid-19 and pneumonia is crucial for effective treatment. However, the traditional RT-PCR method is time-consuming, costly,…”
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EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos by Ul Amin, Sareer, Ullah, Mohib, Sajjad, Muhammad, Cheikh, Faouzi Alaya, Hijji, Mohammad, Hijji, Abdulrahman, Muhammad, Khan

“…Surveillance systems regularly create massive video data in the modern technological era, making their analysis challenging for security specialists. Finding…”
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Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach by Jung, Yonghoon, Byun, Sanghyun, Kim, Bumsoo, Ul Amin, Sareer, Seo, Sanghyun

“…Pine Wilt Disease (PWD) is a devastating disease that affects forest ecosystems and has no known cure. Early detection is essential for suppressing infections…”
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