Revues et brevets
Projet 01
Identification humaine à l'aide de l'analyse de la marche et du réseau convolutif 3D sous la surveillance deDr P. Supraja.
Ce projet concerne human recognition by their gait i.e. style de marche en analysant leurs caractéristiques de démarche. Il comprend la détection d'objets, l'extraction de silhouettes, la squelettisation, le CNN 3D, la reconnaissance.
Il a fallu une journée pour prétraiter les 18000 vidéos de 181 objets sous 11 angles différents et 8 jours pour entraîner le réseau à reconnaître l'objet c'est-à-dire l'humain par ses caractéristiques gait features.
Document de recherche:Appliqué.
Brevet : Publié dansIPInde 01/2020,1, Pg-208
Projet 02
This is the caption generated by Encoder and Decoder module of Video Captioning
Video frames as input given to the model
Graph obtain on training video captioning model
This is the caption generated by Encoder and Decoder module of Video Captioning
Sous-titrage vidéo Using Encoder and Decoder Module sous la surveillance de Dr P. Supraja
jeDans ce projet, nous avons utilisé CNN 3D avec LSTM pour former le réseau de neurones afin de générer la légende sur la base des caractéristiques présentes dans les trames. Nous intégrons et vectorisons les mots pour assainir les sous-titres sur lesquels nous avons formé notre réseau de neurones.
Après une formation de cinq jours consécutifs, nous avons obtenu des sous-titres pertinents à 92 % par rapport aux images de la vidéo.
Brevet : Publié dansIPInde 51/2019,1, Pg-61314
Projet 03
Silhoutte of human waliking
Trainning Epochs of Model
Graph of trained model
Silhoutte of human waliking
Prédiction améliorée de la marche humaine sous la supervision deDr P. Supraja
jePour cela, nous avons utilisé le CNN 2D pour reconnaître l'humain par ses caractéristiques de marche en analysant son schéma de marche.
Document de recherche: Accepté dans le Journal of Physics and Nanotechnology.
Projet 04
Model Evaluation Chapter Published in Book
Model Evaluation Chapter Published in Book
Évaluation du modèle(Chapitre) dansÉdition Scrivener
Ceci est un chapitre publié dans le livre Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools and Applications. Dans ce chapitre, j'ai expliqué comment nous pouvons évaluer différents types de modèles tels que la vision par ordinateur, la PNL, la régression, la classification. et divers autres types de modèles. Ce chapitre traite des étapes théoriques et mathématiques pour évaluer le modèle entraîné.
Lien du chapitre :Lien
EST CE QUE JE(Livre) : 10.1002/9781119821908
Projet 05
Paper Published in Springer Journal
Paper Published in Springer Journal
Apprentissage de la similarité basé sur les canaux à l'aide d'un réseau neuronal convolutif basé sur les canaux 2D
Document de recherche nommé as Apprentissage de la similarité basé sur les canaux à l'aide d'un réseau neuronal convolutif basé sur les canaux 2D publié dans Springer - Intelligence artificielle sur les données médicales, Notes de cours en vision computationnelle et biomécanique book series (LNCVB, tome 37)
Document de recherche :Lien
Projet 05
Conceptualizing a Channel-based overlapping CNN tower architechture for COVID-19 identification from CT-scan Images
A Research Paper named Conceptualizing a Channel-based Overlapping CNN tower architecture for COVID-19 Identification from CT-scan Images published in Scientific Reports.
Research Paper: Link
DOI: 10.1038/s41598-022-21700-8
Projet 05
Futuristic Trends in Artificial Intelligence
Edited Book named Futuristic Trends in Artificial Intelligence published in Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd with ISBN: 978-93-95632-81-2
Book : Link
Projet 05
Explainable AI (EXAI) for Sustainable Development: Trends and Applications
Edited Book named as Explainable AI (EXAI) for Sustainable Development: Trends and Applications will be published in CRC Press Taylor & Francis Group.
Book: Link
ISBN: 9781032598864
Projet 05
Futuristic Trends in IOT
Edited Book named as Futuristic Trends in IOT published in Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd
Reviewer ID: IIPER1655553093
Projet 05
Privacy Preservation and Secured Data Storage in Cloud Computing
Privacy Preservation and Secured Data Storage in Cloud Computing
Privacy Preservation and Secured Data Storage in Cloud Computing
Edited Book named Privacy Preservation and Secured Data Storage in Cloud Computing published in IGI Global Publisher
Book: Link
ISBN: 9798369305935
DOI: 10.4018/979-8-3693-0593-5
Projet 05
3D convolution neural network-based person identification using gait cycles
3D convolution neural network-based person identification using gait cycles
3D convolution neural network-based person identification using gait cycles
Human identification plays a prominent role in terms of security. In modern times security is becoming the key term for an individual or a country, especially for countries that are facing internal or external threats. Gait analysis is interpreted as the systematic study of the locomotive in humans.The steps involve object detection, background subtraction, silhouette extraction, skeletonization, and training 3D Convolution Neural Network (3D-CNN) on these gait features.
Research Paper : Link
DOI: 10.1007/s12530-021-09397-y
Projet 05
Comparative Study on Forecasting of Schedule Generation in Delhi Region for the Resilient Power Grid Using Machine Learning
Comparative Study on Forecasting of Schedule Generation in Delhi Region for the Resilient Power Grid Using Machine Learning
Comparative Study on Forecasting of Schedule Generation in Delhi Region for the Resilient Power Grid Using Machine Learning
In this proposed work, the focus is on Short-Term Load Forecasting (STLF) in the Delhi metropolis for the upcoming twelve months of 2020. The transformation of the conventional electrical grid into a more adaptable and interactive system due to the increasing use of Renewable Energy Resources (RES) has made accurate load prediction crucial for smart grid operation, including planning, scheduling, management, and electricity trading.
Research Paper: Link
Projet 05
Explainable AI (XAI) for Sustainable Development Trends and Applications
Explainable AI (XAI) for Sustainable Development Trends and Applications
Libraries for Explainable Artificial Intelligence (EXAI): Python (Chapter) in Explainable AI (XAI) for Sustainable DevelopmentTrends and Applications
This is a chapter published in the book Explainable AI (XAI) for Sustainable Development Trends and Applications. In this chapter, I have explained how we can use different libraries to explain the output of the Artificial Intelligence model to the end user to increase the trustworthiness of the AI model. by implementing Explainable Artificial Intelligence (XAI). This chapter discusses theoretical as well as mathematical steps to evaluate the trained model.
Book Link : Link
Book ISBN : 9781032598864
Projet 05
Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants
Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants
Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants
We have developed a unique ensemble model for detecting COVID-19 Omicron and Delta variants from lung CT-scan images. The ensemble model combines the Capsule Network (CapsNet) with pre-trained architectures including VGG-16, DenseNet-121, and Inception-v3. This approach aims to enhance reliability and robustness in diagnosing the variants.
Research Paper: Link
Projet 05
Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing
Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing
Hate Speech Detection Using LSTM (Chapter) in Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing
This is a chapter published in the book Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing. In this chapter, I have explained how we can use LSTM to detect hate speech and explain the model output to the user by implementing Explainable Artificial Intelligence (XAI). This chapter discusses theoretical as well as mathematical steps to evaluate the trained model.
Book Link : Link