Search
Search Results
-
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...
-
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...
-
Classification and Feature Selection of Alzheimer’s Disease for MRI Data Utilizing Convolutional Neural Network and Support Vector Machine
Alzheimer's disease (AD) is a neurological disease that affect numerous people. According to the literature, forecasting this type of disease can be...
-
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,...
-
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...
-
An inequality for entangled qutrits in SU(3) basis
It is well known from the representation theory of particle physics that the tensor product of two fundamental representation of SU(2) and SU(3)...
-
Hardware efficient decomposition of the Laplace operator and its application to the Helmholtz and the Poisson equation on quantum computer
With the rapid advancement of quantum computers in the past few years, there is ongoing development of algorithms aimed at solving problems that are...
-
Quantum related-key differential cryptanalysis
Quantum computation models have profoundly impacted cryptanalysis. Differential cryptanalysis is one of the most fundamental methods in cryptanalysis...
-
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...
-
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...
-
Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation
Natural answer generation is in a very clear practical significance and strong application background, which can be widely used in the field of...
-
Automatic control of UAVs: new adaptive rules and type-3 fuzzy stabilizer
Unmanned Aerial Vehicles (UAVs) have become important in an extensive range of fields such as surveillance, environmental monitoring, agriculture,...
-
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...
-
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...
