Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Aditi Jahagirdar"'
1
Role of Active Learning Techniques in Development of Problem Solving Skills
Autor: Bharati Dixit, Neha Sathe, Mangesh Bedekar, Aditi Jahagirdar
Publikováno v: Journal of Engineering Education Transformations. 34:670-674
In the current era where ample data is generated every second and available to every individual in the form of information, it is easy to gain knowledge from this information but a systematic and methodical approach is required when it comes to skill
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbc0527198a628821b33c9f4841c1fff
https://doi.org/10.16920/jeet/2021/v34i0/157241
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3
VEHICLE LANE DETECTION AND TRACKING SYSTEM FOR CAR SAFETY
Autor: Prajakta R. Yelwande, Aditi Jahagirdar
Publikováno v: ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY. :1-4
Systems(ADASs) is important technology for safetyof car as well as car driver and lane detection is amain purpose of current Advanced DrivingAssistance Systems (ADASs). Most of the previousresults focuses on the study of vision-based methods.In this
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26ab5c95a813848a099e3a6e0b05367a
https://doi.org/10.33130/ajct.2019v05i01.011
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4
Symptom Analysis using a Machine Learning approach for Early Stage Lung Cancer
Autor: Atharva Bankar, Kewal Padamwar, Aditi Jahagirdar
Publikováno v: 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS).
The integration of the machine learning techniques in healthcare can be of huge benefit aimed at curing illness of millions of people. A lot of effort has been taken by researchers to detect and provide early-stage insights into cancer diagnosis. In
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e71705c88e75e5d3ebef1f05c4b40ad
https://doi.org/10.1109/iciss49785.2020.9315904
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7
A Novel Human Action Recognition and Behaviour Analysis Technique using SWFHOG
Autor: Manoj Nagmode, Aditi Jahagirdar
Publikováno v: International Journal of Advanced Computer Science and Applications. 11
In this paper, a new local feature, called, Salient Wavelet Feature with Histogram of Oriented Gradients (SWFHOG) is introduced for human action recognition and behaviour analysis. In the proposed approach, regions having maximum information are sele
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48363d51219e4eb022283ca8975ae39b
https://doi.org/10.14569/ijacsa.2020.0110475
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8
Silhouette-Based Human Action Recognition by Embedding HOG and PCA Features
Autor: M. S. Nagmode, Aditi Jahagirdar
Publikováno v: Intelligent Computing and Information and Communication ISBN: 9789811072444
Human action recognition has become vital aspect of video analytics. This study explores methods for the classification of human actions by extracting silhouette of object and then applying feature extraction. The method proposes to integrate HOG fea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b18e7d742dc79b93184e1771f019609f
https://doi.org/10.1007/978-981-10-7245-1_36
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10
Evaluation of moving object detection techniques for low resolution videos
Autor: Manoj Nagmode, Aditi Jahagirdar
Publikováno v: 3rd International Conference on Electrical, Electronics, Engineering Trends, Communication, Optimization and Sciences (EEECOS 2016).
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::174bea244118b009ceefc3b8b945af43
https://doi.org/10.1049/cp.2016.1555
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