Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
156 authors
- Nalbalwar, Sanjay
- Customer Churn Analysis and Prediction in Telecommunication Sector Implementing Different Machine Learning Techniques
- Nimbhore, Sunil
- Development of Multilingual Speech Recognition and Translation Technologies for Communication and Interaction
- Nuthan, A. C.
- Automated Nutrient Level Determination Using Machine Learning
- Pachlore, Ashwini
- Opinion Mining and Tweet Analysis Using Topic Modeling by LDA with BERT and GLOVE Embedding
- Pachlore, Ashwini
- Correction to: Opinion Mining and Tweet Analysis Using Topic Modeling by LDA with BERT and GLOVE Embedding
- Pardeshi, Rajmohan
- Fuzzy Level Set Search and Rescue Optimization (FLSSR) Based Segmentation of Pediatric Brain Tumor
- Pardeshi, Rajmohan
- Automatic Classification of Desmids Using Handcrafted Texture Descriptors
- Pardeshi, Suraj
- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People
- Pate, Sanjay E.
- Design and Generation of Devanagari Script CAPTCHA: Imaginative Technique
- Patil, Bhuvaneshwari
- Pre-trained Convolutional Neural Networks for Gender Classification
- Patil, Gayatri
- A Numeral Script Identification from a Multi-lingual Printed Document Image
- Patil, Gayatri
- A Machine Learning Based Approach for Image Quality Assessment of Forged Document Images
- Patil, Rita B.
- Fuzzy Level Set Search and Rescue Optimization (FLSSR) Based Segmentation of Pediatric Brain Tumor
- Patil, Rita B.
- Automatic Classification of Desmids Using Handcrafted Texture Descriptors
- Patil, Shivanand
- Enhanced Technique for Exemplar Based Image Inpainting Method
- Pattebahadur, Chetan
- Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy
- Pawar, Diksha R.
- Recent Advances in Audio-Visual Speech Recognition: Deep Learning Perspective
- Pawar, Ramkisan S.
- Adsorption Study of Carbon Monoxide on Modified Metal and Non-metallic Surface Using Density Functional Theory: A Short Review Towards Functional Materials
- Pawar, Vikul
- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People
- Pawar, Vikul J.
- Lung Cancer Nodules Detection Using Ideal Features Extraction Technique in CT Images
- Pokharel, Manish
- Devanagari License Plate Detection, Classification and Recognition
- Powar, Sulbha
- Comparative Study of Grid-Inverted List Hybrid Indexing Techniques for Moving Objects and Queries
- Pradhan, Pallavi
- An Improved Computer Aided System for Lung Cancer Detection using Image Processing Techniques
- Premchand, P.
- Lung Cancer Nodules Detection Using Ideal Features Extraction Technique in CT Images
- Rajput, Geeta Babusingh
- Single Image Dehazing Using Haze Veil Analysis and CLAHE
- Ramteke, R. J.
- Design and Generation of Devanagari Script CAPTCHA: Imaginative Technique
- Ramteke, Rakesh
- Tesseract OCR Recognition Based on Arabic Machine-Printed Document
- Rawat, Prashant
- A Vision-Based Sign Language Recognition using Statistical and Spatio-Temporal Features
- Reddy, Mallamma V.
- HiTEK Multilingual Speech Identification Using Combinatorial Model
- Rudrappa, Naveenkumar T.
- HiTEK Multilingual Speech Identification Using Combinatorial Model
- Rumma, Shivanand
- Apple Classification Based on MRI Images Using VGG16 Convolutional Deep Learning Model
- Rumma, Shivanand S.
- Text-Independent Source Identification of Printed Documents using Texture Features and CNN Model
- Sambare, Amogh A.
- Adsorption Study of Carbon Monoxide on Modified Metal and Non-metallic Surface Using Density Functional Theory: A Short Review Towards Functional Materials
- Sangle, Ashok
- Extensive Rooftop Expression Identification and Spatial Analysis
- Saraswat, Tanya
- Crop Prediction Using Machine Learning and Artificial Neural Network
- Satpute, Sujata
- Localization of Intervertebral Discs Using Deep-Learning and Region Growing Technique
- Senan, Ebrahim Mohammed
- Diagnosing Microscopic Blood Samples for Early Detection of Leukemia by Deep and Hybrid Learning Techniques
- Shaikh, Anjum
- Localization of Intervertebral Discs Using Deep-Learning and Region Growing Technique
- Shareef, Ahmed Abdullah A.
- Deep Learning Based Model for Fire and Gun Detection
- Shinde, Krishna
- Multimodal Deep Learning Based Score Level Fusion Using Face and Fingerprint
- Shirsat, Mahendra D.
- Adsorption Study of Carbon Monoxide on Modified Metal and Non-metallic Surface Using Density Functional Theory: A Short Review Towards Functional Materials
- Siddalingappa, Rashmi
- Gender Classification from Behavioural Biometric Data using Convolutional Neural Network
- Siddiqui, Ayesha Anam
- Transfer Learning for Mosquito Classification Using VGG16
- Somwanshi, Datta R.
- An Optimal (2, 2) Visual Cryptography Schemes For Information Security
- Sonawane, Minakshi M.
- Identification of Skin Disease Using Machine Learning
- Tarigopula, Shashibala
- Investigating EEG Images of Cognitive Actions for Robotic Arm
- Thorat, Bali
- Automated Detection of Tuberculosis Based on Cantilever Biosensor
- Vibhute, Amol D.
- Machine Learning Approach for Road-Line Extraction in Complex Urban Environments from High-Resolution Hyperspectral Image
- Vidya, D.
- Apple Classification Based on MRI Images Using VGG16 Convolutional Deep Learning Model
- Wagh, Nikhil
- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People
- Yannawar, Pravin
- Peer-Review Statements
- Yannawar, Pravin
- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People
- Yannawar, Pravin
- AVAO Enabled Deep Learning Based Person Authentication Using Fingerprint
- Yannawar, Pravin
- Recent Advances in Audio-Visual Speech Recognition: Deep Learning Perspective
- Yannawar, Pravin L.
- Deep Learning Based Model for Fire and Gun Detection
- Zawar, Ruchi
- Real-Time Face Liveness Detection and Face Anti-spoofing Using Deep Learning