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Journal of Image Processing & Pattern Recognition Progress Cover

Journal of Image Processing & Pattern Recognition Progress

E-ISSN: 2394-1995 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

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 Information

Title: Journal of Image Processing & Pattern Recognition Progress
Abbreviation: joipprp
Issues Per Year: 3 Issues
E-ISSN: 2394-1995
Publisher: STM Journals
DOI: 10.37591/JOIPPRP
Starting Year: 2014
Subject: Pattern Recognition
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

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

Ahead of Print

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

Artificial Intelligence in Image Recognition: Context of Machine Vision

The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved.

Artificial intelligence (AI), machine learning (ML), deep learning, neural networks, computer vision, image processing, pattern recognition, feature extract

Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders

Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data.

Autoencoders, machine learning, SVM, Supervised learning, algorithm

Classification of Plant Leaf Diseases Using Deep Learning Concepts

Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector.

Plant diseases, leaf images, VGG16, pre-trained model, transfer learning, FCNN