Call for Papers:Vol.12 Issue.2

Submission
Last date		 28-Apr-2026
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-12,Issue-2. 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: :  E-ploits: A system to predict hard landing during the approach phase of commercial flight
PaperId: :  21174
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21174
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ranjitha C SAMC engineering college
padmapriyaAMC engineering college

Abstract

MCA
Decision support systems,Hard landing prediction, Machinelearning, Neural networks
Over fifty percent of all airline accidents may have been avoided by doing a goaround. Making a timely choice to conduct a go-around manoeuvre has the potential of reducing the overall accident rate in the aviation sector. In this research, we propose a cockpit6 deployable machine learning system for assisting flight crew go-around making choices based on a hard landing event prediction. This paper describes a hybrid technique for hard landing prediction that employs features describing temporal relationships of aircraft characteristics as neural network inputs. Based on a huge dataset of 58177 airline flights, our technique offers an average sensitivity of 85% and a specificity of 74% at the go-around point. As a result, our method is a cockpit-deployable recommendation system that outperforms previous methods

Citations

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

IJARIIE Ranjitha C S, and padmapriya. "E-ploits: A system to predict hard landing during the approach phase of commercial flight" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 1105-1110
MLA Ranjitha C S, and padmapriya. "E-ploits: A system to predict hard landing during the approach phase of commercial flight." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 1105-1110.
APA Ranjitha C S, & padmapriya. (2023). E-ploits: A system to predict hard landing during the approach phase of commercial flight. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 1105-1110.
Chicago Ranjitha C S, and padmapriya. "E-ploits: A system to predict hard landing during the approach phase of commercial flight." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 1105-1110.
Oxford Ranjitha C S, and padmapriya. 'E-ploits: A system to predict hard landing during the approach phase of commercial flight', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 1105-1110. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/E_ploits__A_system_to_predict_hard_landing_during_the_approach_phase_of_commercial_flight_ijariie21174.pdf (Accessed : ).
Harvard Ranjitha C S, and padmapriya. (2023) 'E-ploits: A system to predict hard landing during the approach phase of commercial flight', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 1105-1110IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/E_ploits__A_system_to_predict_hard_landing_during_the_approach_phase_of_commercial_flight_ijariie21174.pdf (Accessed : )
IEEE Ranjitha C S, and padmapriya, "E-ploits: A system to predict hard landing during the approach phase of commercial flight," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 1105-1110, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/E_ploits__A_system_to_predict_hard_landing_during_the_approach_phase_of_commercial_flight_ijariie21174.pdf [Accessed : ].
Turabian Ranjitha C S, and padmapriya. "E-ploits: A system to predict hard landing during the approach phase of commercial flight." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Ranjitha C S, and padmapriya. E-ploits: A system to predict hard landing during the approach phase of commercial flight. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 1105-1110. Available from: https://ijariie.com/AdminUploadPdf/E_ploits__A_system_to_predict_hard_landing_during_the_approach_phase_of_commercial_flight_ijariie21174.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Employee Performance PortalComputer science and engineeringP.Harika Download
STATE AWARE MULTI-HOP ROUTING VIA DIGITAL TWIN FOR IOT NETWORKSINTERNET OF THINGS (WSN)PATEL NENSI RAKESHBHAI Download
Soil Quality Assessment Using Machine Learning & IoTComputer EngineeringKiran D Kshirsagar Download
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
12