[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
An improved customized CNN model for adaptive recognition of cerebral palsy people's handwritten digits in assessment
K Muthureka, U Srinivasulu Reddy, B Janet - International Journal of …, 2023 - Springer
Cerebral palsy (CP) is used to describe a group of disorders, characterized by non-
progressive, but permanent damage to the developing brain that results in motor deficits …
progressive, but permanent damage to the developing brain that results in motor deficits …
Effect of Multichannel Convolutional Neural Network‐Based Model on the Repair and Aesthetic Effect of Eye Plastic Surgery Patients
YixinQu, BingyingLin, ShuilingLi… - … Methods in Medicine, 2022 - Wiley Online Library
Objective. This study is aimed at exploring the impact of eye model based on multichannel
convolutional neural network (CNN) on eye plastic surgery and aesthetic effect, thus …
convolutional neural network (CNN) on eye plastic surgery and aesthetic effect, thus …
Optimized Deconvolutional algorithm‐based CT perfusion imaging in diagnosis of acute cerebral infarction
X Chen, X Bai, X Shu, X He, J Zhao… - Contrast Media & …, 2022 - Wiley Online Library
To apply deconvolution algorithm in computer tomography (CT) perfusion imaging of acute
cerebral infarction (ACI), a convolutional neural network (CNN) algorithm was optimized first …
cerebral infarction (ACI), a convolutional neural network (CNN) algorithm was optimized first …
AI Prediction for Post–Lower Blepharoplasty Age Reduction
TW Chiou, CI Yen, YC Hsiao… - Aesthetic Surgery …, 2024 - academic.oup.com
Background Aesthetic standards vary and are subjective; artificial intelligence (AI), which is
currently seeing a boom in interest, has the potential to provide objective assessment …
currently seeing a boom in interest, has the potential to provide objective assessment …
Document Digitization Using Optical Character Recognition-A Case Study of Mark Entry Automation in Educational Institutions
AT Shaju, JT Jo, ES Abraham… - … on Trends in …, 2024 - ieeexplore.ieee.org
This paper analyses and provides solutions to al-leviate the challenge of manual mark entry
in educational institutions by introducing a user-friendly software tool that combines Optical …
in educational institutions by introducing a user-friendly software tool that combines Optical …
Deep learning algorithms for computer vision: A deep insight into principles and applications
M Gupta, S Debnath - Intelligent Systems and Applications in …, 2023 - taylorfrancis.com
Computer vision enables computerized systems to derive meaningful conclusions from
various digitalized and visual inputs. It deals with image recognition, detection, further …
various digitalized and visual inputs. It deals with image recognition, detection, further …
A Systematic Comparative Study of Handwritten Digit Recognition Techniques Based on CNN and Other Deep Networks
SK Soni, N Dhanda, S Mahapatra - International Conference on Advances …, 2022 - Springer
Recognition of handwritten digits has been a popular challenge among research due to its
wide applicability in real-life applications. It has been a hard problem, and several efforts …
wide applicability in real-life applications. It has been a hard problem, and several efforts …
Deep Learning based Handwritten Arithmetic Equation Solver
AG Karegowda, A Leenarani… - 2022 Fourth …, 2022 - ieeexplore.ieee.org
Manual recognition of different styles of handwritten characters, digits, symbols, and
operators is quite intricate. This paper attempts to automate the process of recognition of …
operators is quite intricate. This paper attempts to automate the process of recognition of …
Handwritten equation solver using Convolutional Neural Network
Because of the ongoing Covid-19 pandemic, educational activities resulted in an
unanticipated change from traditional learning to a digital teaching and learning …
unanticipated change from traditional learning to a digital teaching and learning …