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Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
Real-world face recognition systems are vulnerable to diverse face attacks, ranging from digitally manipulated artifacts to physically crafted...
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Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual...
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Virtual Machine Provisioning Within Data Center Host Machines Using Ensemble Model in Cloud Computing Environment
In the digital age of exponential data proliferation and growing computing demands, efficient resource management within data centers is crucial. A...
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Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input
Multimodal analyses in the context of automated real estate valuation (AVM) offer the possibility of enriching the models with additional...
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PEFormer: a pixel-level enhanced CNN-transformer hybrid network for face image super-resolution
In recent years, the rapid development of deep learning technologies has advanced the field of Face Super-Resolution (FSR), particularly with the...
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A novel approach to detect, analyze and block adversarial web pages
The phenomenon of distraction is very common, and its adverse effects are seen among people. The major cause underlying this issue is the ease with...
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Detecting review fraud using metaheuristic graph neural networks
Although online reviews play a critical role in sha** consumer behavior and establishing institutional trust, this reliance on online reviews has...
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A study of falling behavior recognition of the elderly based on deep learning
The current computer vision-based elderly falling behavior recognition algorithm mainly uses target detection followed by behavior recognition for a...
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Analysis of channel capacity for UWB antenna for improvements in the data rates and low Power transmission over wireless application
Multiple input- Multiple output- Ultra-wideband (MIMO-UWB) is a wireless communication approach that combines multiple antennas at the transmitter...
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A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images
Precise biomedical image segmentation is pivotal in medical diagnosis and treatment. Among various methodologies, image processing-based techniques...
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A signcryption with identity-based authentication for secure EHR sharing in IoMT utilizing ECC
Due to real-time data sharing in the Internet of Medical Things (IoMT), the healthcare sector has evolved significantly in recent years. However,...
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An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network
Social Spider Optimization (SSO) is a swarm algorithm, based on the mating and cooperating behaviour of social spiders. This approach is basically...
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Enhancing Oyente: four new vulnerability detections for improved smart contract security analysis
Enhancing the security analysis of smart contracts, particularly in Ethereum, by extending the widely used Oyente tool is the main objective of this...
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Advancing personal identity verification by integrating facial recognition through deep learning algorithms
This research delves into the realm of facial recognition technology, leveraging the power of convolutional neural network (CNN) to enhance personal...
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An optimal feature subset selection technique to improve accounting information security for intrusion detection systems
The goal of an intrusion detection system (IDS) is to secure data on the network by monitoring the flow of traffic and identifying malicious users....
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A novel kernel filtering algorithm based on the generalized half-quadratic criterion
In this work we combine the kernel method and the generalized half-quadratic criterion, and a kernel adaptive filtering algorithm is proposed based...
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An unsupervised statistical representation learning method for human activity recognition
With the evolution of smart devices like smartphones, smartwatches, and other wearable devices, motion sensors have been integrated into these...
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EBFF-YOLO: enhanced bimodal feature fusion network for UAV image object detection
Existing methods for fusing visible light and infrared features often focus on separating objects from backgrounds. In unmanned aerial vehicle (UAV)...
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A novel IMW-mrmr feature selection approach for early detection of hypertension with HRV analysis
In the absence of control measures, hypertension poses a major threat to the world’s population’s health and can quickly develop into vascular...
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Introducing the Cosine Clustering Index (CCI): A Balanced Approach to Evaluating Deep Clustering
Amidst the surge of Big Data, deep clustering emerges as a pivotal technique in machine learning, necessitating robust and interpretable evaluation...
