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Journal of Image Processing & Pattern Recognition Progress

joipprp | E-ISSN: 2394-1995 | Peer-Reviewed | Hybrid Open Access

About the Journal

Journal of Image Processing & Pattern Recognition Progress Journal of Image Processing & Pattern Recognition Progress [2394-1995(e)] is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Image Processing & Pattern Recognition.

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Journal of Image Processing & Pattern Recognition Progress (JOIPPRP): 2394-1995(e) is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of

Journal Information

Title:
Journal of Image Processing & Pattern Recognition Progress
Abbreviation:
JOIPPRP
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2394-1995
Publisher:
116314
DOI:
10.37591/JOIPPRP
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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joipprp maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Mr. Mohit Tiwari, Assistant professor

Bharati Vidyapeeth’s College of Engineering, Delhi, Delhi, India, 110063

Email :

Latest Articles

Automated Car License Plate Detection and Recognition Using Deep Learning

The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement.

Convolutional neural networks (CNN), plate detection, image processing, deep learning, optical character recognition (OCR)

Animal Species Prediction Using Deep Learning

In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts.

Animal species, deep learning, machine learning, convolutional neural networks (CNN), computer vision

A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning

The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits.

Disease detection, bacterial blight, Cercospora fruit spot, fruit rot, Alternaria fruit spot, pomegranate, machine learning

A Review of Automated Pomegranate Disease Detection And Classification Using Machine Learning

The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits.

Disease detection, Bacterial Blight, Cercospora Fruit Spot, Fruit Rot, Alternaria Fruit Spot, pomegranate, machine learning

Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection

The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting.

Pneumonia detection, stacked generalization-based approach, chest X-ray images, RSNA and Kermany, SMOTE

Personalized Virtual Interior Design Using Generative AI

This study presents an AI-driven virtual interior design system that allows users to effectively redesign their home or workspace with an integrated shopping experience.

Interior design, generative AI, deep learning, stable diffusion, ecommerce

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