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Towards enhancing shadow removal from images
Addressing challenges posed by shadows in computer vision tasks, this study employs advanced deep learning techniques for shadow removal in RGB...
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Fast Learning Network Algorithm for Voice Pathology Detection and Classification
The utilisation of ML (Machine Learning) techniques in the detection of the VP (Voice Pathology) has recently gained a lot of consideration. However,...
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Enhancement of patient's health prediction system in a graphical representation using digital twin technology
The patient health prediction system is the most critical study in medical research. Several prediction models exist to predict the patient's health...
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BangleFIR: bridging the gap in fashion image retrieval with a novel dataset of bangles
In this paper, we introduce Bangle Fashion Image Retrieval (BangleFIR), a novel dataset focusing on bangles within the fashion domain. While garment...
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A review of video-based human activity recognition: theory, methods and applications
Video-based human activity recognition (HAR) is an important task in many fields, such as healthcare monitoring, video surveillance, and sports...
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Smart contract vulnerabilities detection with bidirectional encoder representations from transformers and control flow graph
Up to now, the smart contract vulnerabilities detection methods based on sequence modal data and sequence models have been the most commonly used....
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RALFusion: a residual attention guided lightweight deep-learning framework for infrared and visible image fusion
Infrared and visible image fusion plays an important role in subsequent advanced visual tasks, especially for complex marine environments. To improve...
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Real-time and secure identity authentication transmission mechanism for artificial intelligence generated image content
The rapid development of generative artificial intelligence technology and large-scale pre-training models has led to the emergence of artificial...
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Survey-based analysis of cybersecurity awareness of Turkish seafarers
In recent years, vessels have become increasingly digitized, reflecting broader societal trends. As a result, maritime operations have become an...
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A comprehensive review on the Internet of Things in precision agriculture
A quickening transformation in the agriculture sector is being driven by the growth of Internet of Things (IoT) technology. The need for food...
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Introducing a parametric function on relaxation times in magnetic resonance imaging
Relaxation times in MRI are able to indicate various objects on the T 1 - and T 2 -weighted images as well as the other pathophysiological quantities....
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Lorentz-modulated multiscale nonlinear diffusion for stitching in near-uniform scenes
Image stitching finds diverse applications in multimedia contexts, and creating panoramic images with this technique can be particularly challenging...
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An optimized deep network-based intermediate code generation for the mathematical expression
In recent times, the system's mathematical expression and operation have gained greater reach in engineering and mathematics. It is vital to solving...
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TSDAnet: texture strip dual attention network for intraclass texture classification
Intraclass texture classification is a challenging task due to the high similarity between subtypes within the same texture. The presence of...
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A novel single kernel parallel image encryption scheme based on a chaotic map
The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one...
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A principal label space transformation and ridge regression-based hybrid gorilla troops optimization and jellyfish search algorithm for multi-label classification
Classification as an essential part of Machine Learning and Data Mining has significant roles in engineering, medicine, agriculture, military, etc....
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Recognizing text lines in handwritten archival document images using octave convolutional and attention recurrent neural networks
Over the past several years, many archivists and historians have pointed out growing needs closely related to robust and efficient offline...
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Vision transformer and CNN-based skin lesion analysis: classification of monkeypox
Monkeypox is an important health problem. Rapid diagnosis of monkeypox skin lesions and emergency isolation when necessary is essential. Also, some...
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SORDI.ai: large-scale synthetic object recognition dataset generation for industries
Smart robots play a crucial role in assisting human workers within manufacturing units (like Industry 4.0) by perceiving and analyzing their...
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Secure container Orchestration: A framework for detecting and mitigating Orchestrator - level vulnerabilities
This paper presents Secure Orchestration, a novel framework meticulously planned to uphold rigorous security measures over the profound security...
