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Journal Photo for Journal of Emerging Technologies and Innovative Research

Peer reviewed only Open Access

Journal of Emerging Technologies and Innovative Research (JETIR)

Publisher : IJ Publication

Multidisciplinary

Submit Paper View PRC Visit Website

e-ISSN 2349-5162

Issue Frequency Monthly

Impact Factor 260.9

Est. Year 2014

Mobile 9426033211

DOI YES

Language Multilanguage

APC YES

Impact Factor Assignee Google Scholar

Email editor@jetir.org

Journal Descriptions

UGC CARE recently discontinued the UGC-CARE Journal Listing & Introduction of Suggestive Parameters for choosing peer-reviewed journals that UGC-CARE (India) recommends publishing papers in Transparent Peer Reviewed journals (or Refereed Journals) JETIR is a Transparent Peer-Reviewed Open Access Journal (Refereed Journal), aligning with New UGC and UGC CARE recommendations. As an international, open-access, and online journal, JETIR ensures that published research reaches a broad and diverse audience worldwide. For more details, refer to the official notice: UGC Public Notice. Link: https://www.ugc.gov.in/pdfnews/9678711_PUBLIC-NOTICE-CARE.pdf

Journal of Emerging Technologies and Innovative Research (JETIR) is :-

International, Peer-Reviewed, Open Access, Refereed, Multidisciplinary , Online , Monthly Journal
UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2349-5162, Established: 2014, Impact Factor: 260.9
Provides Crossref DOI
Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Role In Research Journal

Editorial Board Member

Peeyush Pareek

Guest Editor

GOVIND Prasad Sarswat

Editor

Dr. Siva Bali Reddy Katasani

Dr Purushothama Reddy K

Publications of JETIR

Cloud Adoption in Indian Banks

KURUMALLA SURESH April, 2026

Cloud Adoption in Indian Banks

Suresh Kurumalla April, 2026

An Analysis of Hybrid Game Design: Combining Pac-Man and Xonix

Ajeet Singh Rajput May, 2025

– this research paper explores the design and development of a hybrid game. It combines elements from the classic arcade games Xonix and Pac-Man. This innovative game retains the sim...

Impact of GST on Common Man.

Dr Satpal December, 2013

i have written various research papers as Review of literature on impact of derivatives,Investor ‘s attitude towards derivative usage,Impact of derivatives trading on the volatility of cap...

scope and future of cryptocurrency in India

Dr Satpal July, 2023

Recently Crypto currency grabs a hot topic in the financial world. The introduction of Crypto currency has brought a big revolution in the international payment system in a scale that just a...

Trigonometrical Verification and Authentication of Handwritten Signatures: A new Forensic Approach

Mrinmayee Kale. April, 2026

HOMOEOPATHIC PERSPECTIVES ON POSTMENOPAUSAL OSTEOPOROSIS: EMPHASIS ON INDIVIDUALIZED MEDICINE AND CALCAREA PHOSPHORICA 12X

Dr. Aashish Rana February, 2026

Postmenopausal osteoporosis is a prevalent metabolic bone disorder characterized by decreased bone mass, deterioration of bone microarchitecture, and an increased risk of fragility fracture...

FROM RUBRICS TO RELIEF: BOERICKE REPERTORY-BASED HOMOEOPATHIC MANAGEMENT OF MENOPAUSAL SYNDROME

Dr. ASMA PATEL February, 2026

Menopausal syndrome is a multidimensional clinical entity characterized by vasomotor, psychological, urogenital, and somatic symptoms arising due to the physiological decline in ovarian hor...

NAVIGATING THE VIRTUAL PUBLIC SPHERE: THE RISING PERIL OF SEXTORTION

ARKAJIT DEBNATH February, 2025

The alarming phenomenon of Sextortion has emerged as a pressing issue in the contemporary digital landscape, characterized by its extensive prevalence and the susceptibility of its victims. ...

Artificial Intelligence (AI) & Machine Learning (ML) in Security and Penetration Testing

Ali Basalama November, 2025

This paper investigates the integration of AI and Machine Learning (ML) into security by focusing on automated penetration testing. It explores the reasons for this transition, including the...

Explore Transparent Peer Reviews of JETIR

AI - BASED STATISTICAL FRAMEWORK FOR AGRICULTURAL CROP YIELD BEHAVIOUR AND RISK PATTERN ANALYSIS

Agricultural crop yield analysis is a critical and challenging task in the day-to-day life. The traditional statistical models that combined with the machine learning and deep learning techn...

Industrial Relations at Enterprise Level: A Case Study

Industrial relations in India have witnessed a long journey, from the phase of industrialisation to independence era to the age of economic reforms, but a lot needs to be addressed given the...

CONTENT-BASED VIDEO SHOT BOUNDARY DETECTION USING CANNY EDGE FEATURES

Video Shot Boundary Detection (VSBD) is a vital preliminary step in content-based video analysis, enabling efficient indexing, retrieval, summarization, and editing workflows. This paper int...

Survey on Design of CIC Decimator and Interpolator in Wireless Receivers

The advancement in Wireless communications has always led to the need of multi rate signal processing. Multi-rate signal processing plays a pivotal role in the field of wireless communicatio...

Scalable Data Partitioning and Shuffling Algorithms for Distributed Processing: A Review

Scalable data splitting and shuffle algorithms have emerged as crucial elements of effective data processing in distributed computing and big data. This article provides an in-depth analysis...

Internal and External Re-keying and the way forward

Side Channel Analysis are the security attacks due to the issues in the implementations. This attack bypasses the mathematical security provided by the cryptographic algorithms. These attack...

Advances in Tomato Disease Detection: A Comprehensive Survey of Machine Learning and Deep Learning Approaches for Leaves and Fruits

Tomatoes contributed about 232 billion Indian rupees to the Indian economy in the financial year 2020; it is next to potatoes in vegetable production in South Asian countries. Tomatoes are t...

A Comparative Study of Classification Algorithms for Enhanced Lung Cancer Prediction Using Deep Learning and SOM-Based Microscopic Image Analysis

Lung cancer is one of the top causes of cancer-related fatalities worldwide, necessitating the development of efficient early detection techniques. This study explores a hybrid approach comb...

Improving Brain Cancer Detection with a CNN-RNN Hybrid Model: A Spatial-Temporal Approach

Accurate and early detection of brain cancer is critical for improving treatment outcomes and patient survival. However, traditional diagnostic methods relying on radiological interpretation...

Predicting Titanic Survivors Using Random Forest Machine Learning Algorithm

The ship wreck of the RMS Titanic is still remembered as a well-known tragedy that took many lives. Using passenger data to predict who would survive this disaster presents an intriguing cha...

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