Search
Search Results
-
Continual few-shot patch-based learning for anime-style colorization
The automatic colorization of anime line drawings is a challenging problem in production pipelines. Recent advances in deep neural networks have...
-
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...
-
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....
-
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...
-
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...
-
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...
-
Usability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such...
-
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...
-
Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance...
-
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...
-
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....
-
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...
-
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...
-
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...
-
Design of smart automated cooker_a survey and feasibility study
Cooking poses challenges for the elderly, individuals with health issues or disabilities, busy professionals, students, and children. A survey of 50...
-
Multimodal diagnosis of Alzheimer’s disease based on volumetric and cognitive assessments
Alzheimer’s Disease (AD) is the most prevalent form of dementia, severely impacting memory functions. Early classification of AD patients,...
-
COECG-resnet-GWO-SVM: an optimized COVID-19 electrocardiography classification model based on resnet50, grey wolf optimization and support vector machine
Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, and was...
-
The impact of virtual and augmented reality on presence, user experience and performance of Information Visualisation
The fast growth of virtual reality (VR) and augmented reality (AR) head-mounted displays provides a new medium for interactive visualisations and...
-
Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges...
-
Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection....
