Search
Search Results
-
Assessing Nutrient Safety Net and Crop Yield in a Mediterranean Agroforestry Using 15N Labelling Experiment
This study aimed to assess crop yield and soil nitrogen removal by trees from a potential nitrogen leaching pool in Mediterranean agroforestry, in a 15 ...
-
Exploring the Dark Side of Online Distance Learning: Cheating Behaviours, Contributing Factors, and Strategies to Enhance the Integrity of Online Assessment
This study investigated cheating behaviours, contributing factors, and strategies to enhance the integrity of assessment in an online learning...
-
Pseudo labelling workflow, margin losses, hard triplet mining, and PENViT backbone for explainable age and biological gender estimation using dental panoramic radiographs
This study aimed to estimate human age and gender from panoramic radiographs using various deep learning techniques while using explainability to...
-
Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space
Modified probabilistic neural networks are introduced for image classification based on various distance measures in probability space, in which the...
-
Phosphorylation disrupts long-distance electron transport in cytochrome c
It has been recently shown that electron transfer between mitochondrial cytochrome c and the cytochrome c 1 subunit of the cytochrome bc 1 can proceed...
-
A Study on Radio Labelling of Evolving Trees for Path \(P_n\)
The term radio labelling of a graph G of diameter d means a function f which maps each vertex of G with a non-negative integer such that the...
-
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
Multiple-instance learning (MIL) is an attractive approach for digital pathology applications as it reduces the costs related to data collection and...
-
A weak-labelling and deep learning approach for in-focus object segmentation in 3D widefield microscopy
Three-dimensional information is crucial to our understanding of biological phenomena. The vast majority of biological microscopy specimens are...
-
Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images
Crop protection from diseases through applications of plant protection products is crucial to secure worldwide food production. Nevertheless,...
-
Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images
BackgroundThe flowering period is a critical time for the growth of rape plants. Counting rape flower clusters can help farmers to predict the yield...
-
On the distance spectra of central vertex join and central edge join of two regular graphs
In this article, we compute the distance, distance Laplacian, and distance signless Laplacian eigenvalues of central vertex and central edge join of...
-
Test–retest reliability of arterial spin labelling for cerebral blood flow in older adults with small vessel disease
Cerebral small vessel disease (SVD) is common in older people and is associated with lacunar stroke, white matter hyperintensities (WMH) and vascular...
-
The distant studio: a survey of design students’ experience with distance educational formats
The paper presents the results of a survey ( n = 279) conducted with the students of an undergraduate design course. The questionnaire inquired design...
-
In vivo 5-ethynyluridine (EU) labelling detects reduced transcription in Purkinje cell degeneration mouse mutants, but can itself induce neurodegeneration
Fluorescent staining of newly transcribed RNA via metabolic labelling with 5-ethynyluridine (EU) and click chemistry enables visualisation of changes...
-
-
Compression techniques for 2-hop labeling for shortest distance queries
Shortest distance computation is one of the widely researched areas in theoretical computer science and graph databases. Distance labeling are...
-
Real-time social distance monitoring and face mask detection based Social-Scaled-YOLOv4, DeepSORT and DSFD&MobileNetv2 for COVID-19
COVID-19 has spread rapidly worldwide, despite the availability of vaccines, the fear of the World Health Organization continues due to the mutation...
-
On (p, 1)-Total Labelling of NIC-Planar Graphs
A graph is NIC-planar if it can be drawn in the plane so that there is at most one crossing per edge and two pairs of crossing edges share at most...
-
Two-level content-based mammogram retrieval using the ACR BI-RADS assessment code and learning-driven distance selection
Content-based mammogram retrieval (CBMR) is an effective approach to assist radiologists in diagnosing patients’ mammograms. Indeed, by studying the...
