Spatial relationship recognition via heterogeneous representation: A review

Y Wang, H Peng, Y Xiong, H Song - Neurocomputing, 2023 - Elsevier
Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …

Deep learning-based rice leaf diseases detection using Yolov5

MJ Jhatial, RA Shaikh, NA Shaikh… - Sukkur IBA Journal …, 2022 - journal.iba-suk.edu.pk
Abstract The Rice crop in Agriculture field is playing an important role in economy of
Pakistan and fulfilling the needs of living hood of human beings. The rice leaf faces several …

Practicality analysis of utilizing text-based CAPTCHA vs. graphic-based CAPTCHA authentication

A Gutub, N Kheshaifaty - Multimedia Tools and Applications, 2023 - Springer
Abstract CAPTCHA as “Completely Automated Public Turing test to tell Computers and
Humans Apart” is becoming an essential tool to help reduce many automated security …

Machine learning and points of interest: typical tourist Italian cities

S Giglio, F Bertacchini, E Bilotta… - Current Issues in …, 2020 - Taylor & Francis
Today georeferenced images posted on the social network provide a lot of information about
people behaviours and movements. Using social media platforms users upload photos …

Feature constraint reinforcement based age estimation

G Chen, J Peng, L Wang, H Yuan, Y Huang - Multimedia Tools and …, 2023 - Springer
As one of the critical biological characteristics of human age, the face has been widely
studied for age prediction, which has broad application prospects in the fields of commerce …

Understanding NFC-Net: a deep learning approach to word-level handwritten Indic script recognition

S Kundu, S Paul, PK Singh, R Sarkar… - Neural Computing and …, 2020 - Springer
This paper presents a deep learning architecture modified for resource-constrained
environments, called Non-Fully-Connected Network or NFC-Net, based on convolutional …

Patient-specific modeling for guided rehabilitation of stroke patients: the BrainX3 use-case

V Sharma, F Páscoa dos Santos… - Frontiers in …, 2023 - frontiersin.org
BrainX3 is an interactive neuroinformatics platform that has been thoughtfully designed to
support neuroscientists and clinicians with the visualization, analysis, and simulation of …

Automatic detection of ischemic stroke lesion from multimodal MR image

A Kumar, A Debnath, T Tejaswini… - … on Image Information …, 2019 - ieeexplore.ieee.org
During ischemic stroke, the most common kind of blocking in an artery, the brain cells start to
die due to lack of oxygen and nutrients. Such strokes need immediate diagnosis and …

Holistic indoor scene understanding by context-supported instance segmentation

L Guo, G Fan - Multimedia Tools and Applications, 2022 - Springer
We propose a new method flow that utilizes pixel-level labeling information for instance-
level object detection in indoor scenes from RGB-D data. Semantic labeling and instance …

Identification of Human & various objects through Image Processing based system

QB Rind, GA Mallah, I Memon… - … on Information Science …, 2020 - ieeexplore.ieee.org
The objective of this paper is to image processing based system. This paper identification of
humans through the image proceeding development technique by an image-based …