Masked face recognition using resnet-50
Over the last twenty years, there have seen several outbreaks of different coronavirus
diseases across the world. These outbreaks often led to respiratory tract diseases and have …
diseases across the world. These outbreaks often led to respiratory tract diseases and have …
Deep learning-based data augmentation method and signature verification system for offline handwritten signature
Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …
most significant limitations of the handwritten signature verification problem is inadequate …
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks
BUH Sheikh, A Zafar - Evolving Systems, 2024 - Springer
As the world continues to grapple with the COVID-19 pandemic, the face mask detection
system has become an essential tool in containing the spread of the virus. However, our …
system has become an essential tool in containing the spread of the virus. However, our …
CSI-DeepNet: A lightweight deep convolutional neural network based hand gesture recognition system using Wi-Fi CSI signal
Hand gesture is a visual input of human-computer interaction for providing different
applications in smart homes, healthcare, and eldercare. Most deep learning-based …
applications in smart homes, healthcare, and eldercare. Most deep learning-based …
[PDF][PDF] Performance refinement of convolutional neural network architectures for solving big data problems
S Aljaloud - Tikrit Journal of Pure Science, 2023 - iasj.net
Theano and TensorFlow, will be compared in this study for how well they perform on a given
problem. The MNIST database will be used for this specific problem, which is the recognition …
problem. The MNIST database will be used for this specific problem, which is the recognition …
Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis
BUH Sheikh, A Zafar - Journal of Imaging Informatics in Medicine, 2024 - Springer
Deep learning has significantly advanced the field of radiology-based disease diagnosis,
offering enhanced accuracy and efficiency in detecting various medical conditions through …
offering enhanced accuracy and efficiency in detecting various medical conditions through …
Advancing Handwritten Signature Verification Through Deep Learning: A Comprehensive Study and High-Precision Approach
This paper presents a comprehensive study on handwritten signature verification using
deep learning techniques. This research aims to address the challenges of offline signature …
deep learning techniques. This research aims to address the challenges of offline signature …
Laplacian Pyramid-like Autoencoder
In this paper, we develop the Laplacian pyramid-like autoencoder (LPAE) by adding the
Laplacian pyramid (LP) concept widely used to analyze images in Signal Processing. LPAE …
Laplacian pyramid (LP) concept widely used to analyze images in Signal Processing. LPAE …
An Assessment of Electric Power Consumption Using Random Forest and Transferable Deep Model with Multi-Source Data
Reliable and fine-resolution electric power consumption (EPC) is essential for effective
urban electricity allocation and planning. Currently, EPC data exists mainly as statistics with …
urban electricity allocation and planning. Currently, EPC data exists mainly as statistics with …
Derin öğrenme tabanlı oftalmoloji görüntülerinde veri analizi ve güvenliği
C Şen - 2022 - search.proquest.com
Oftalmolojik hastalıkların zamanında teşhisi yapılmadığında ve tedavisi olunmadığında
körlüğe kadar giden sonuçlar ortaya çıkmaktadır. Birçok çalışma, erken tedavinin görmeyi …
körlüğe kadar giden sonuçlar ortaya çıkmaktadır. Birçok çalışma, erken tedavinin görmeyi …