Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK
PaperId: :  25270
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25270
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Chikati Madhava RaoShri Jagdishprasad Jhabarmal Tibrewala University, Vidyanagri, Jhunjhunu, Rajasthan
Dr Santosh Kumar YadavShri Jagdishprasad Jhabarmal Tibrewala University, Vidyanagri, Jhunjhunu, Rajasthan

Abstract

Computer Science
-
Facial expression recognition faces several challenges, including subjective nature, transient expressions, cultural differences, and cultural norms. To overcome these challenges, extensive datasets, techniques to capture nuanced emotions, and models that consider cultural and individual variances are needed. Advancements in computer vision and deep learning have made significant progress in facial expression identification, but more work is needed to improve accuracy, fairness, and practicality in real-world situations. Expression variability, ambiguity, occlusions, gender differences, data imbalance, overfitting, and lack of uniformity are common issues in the field. Ethical concerns, such as discrimination, privacy invasion, and monitoring, have led to discussions on the ethics of facial expression recognition. Cross-cultural variants, which occur across different cultures, impact how we recognize and express our emotions. Real-time processing is essential for systems that can detect and react to human emotions, but achieving low-latency recognition in real-world settings is challenging. Factors such as low-quality images, background noise, and dark lighting can make it more difficult to identify face emotions. Confidentiality issues arise due to facial expression recognition technology's use in public spaces and surveillance. Integrating findings to multi-modal data sets, which include written language, nonverbal gestures, and vocal signals, is a complex undertaking. Overall, overcoming these challenges requires a combination of computational and ethical considerations.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Chikati Madhava Rao, and Dr Santosh Kumar Yadav. "DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 189-198
MLA Chikati Madhava Rao, and Dr Santosh Kumar Yadav. "DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 189-198.
APA Chikati Madhava Rao, & Dr Santosh Kumar Yadav. (2024). DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 189-198.
Chicago Chikati Madhava Rao, and Dr Santosh Kumar Yadav. "DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 189-198.
Oxford Chikati Madhava Rao, and Dr Santosh Kumar Yadav. 'DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 189-198. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTING_FACIAL_FORGERIES_USING_NOVEL_FREQUENCY_CONVOLUTIONAL_NEURAL_NETWORK_ijariie25270.pdf (Accessed : ).
Harvard Chikati Madhava Rao, and Dr Santosh Kumar Yadav. (2024) 'DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 189-198IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTING_FACIAL_FORGERIES_USING_NOVEL_FREQUENCY_CONVOLUTIONAL_NEURAL_NETWORK_ijariie25270.pdf (Accessed : )
IEEE Chikati Madhava Rao, and Dr Santosh Kumar Yadav, "DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 189-198, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTING_FACIAL_FORGERIES_USING_NOVEL_FREQUENCY_CONVOLUTIONAL_NEURAL_NETWORK_ijariie25270.pdf [Accessed : ].
Turabian Chikati Madhava Rao, and Dr Santosh Kumar Yadav. "DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 ().
Vancouver Chikati Madhava Rao, and Dr Santosh Kumar Yadav. DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(6) : 189-198. Available from: https://ijariie.com/AdminUploadPdf/DETECTING_FACIAL_FORGERIES_USING_NOVEL_FREQUENCY_CONVOLUTIONAL_NEURAL_NETWORK_ijariie25270.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12