Accepted Papers
ISI'22 received 98 submissions. The papers were subjected to a thorough review process that considered the significance, novelty, and technical quality of the submissions. The papers were reviewed by at least three reviewers. The program committee selected 27 regular papers and 10 short papers for presentation at the symposium and publication in the proceedings, yielding an acceptance rate of 37.76%. Geographical Coverage: India, Morocco, USA , Jordan, Poland, Philippines, South Korea, Algeria, Italy, Vietnam.
- DCLL - A Deep Network for Possible Real-time Decoding of Imagined Words
- Towards Frugal Artificial Intelligence: Exploring neural network pruning and binarization
- Practical Implications of Dequantization on Machine Learning Algorithms: A Survey
- Encoder-Decoder Network with Guided Transmission Map: Robustness and Applicability
- Development of NN-based Ball Bearing Fault Diagnosis Techniques
- A data analytics-based study on campaigns and hashtags movements related to the production of fashion goods
- Gradual Search and Fixed Grouping Scheme based Variant of Genetic Algorithm for Large Scale Global Optimization
- Generalized symbolic dynamics weighted network prediction of chaotic time series
- Automated Reduction of Detailed Biophysical Cerebellar Neurons to Izhikevich Neurons
- Comparative Study of Machine Learning and Deep Learning Classifiers on Handwritten Numeral Recognition
- Segmentation Approach for Nucleus Cytoplasm of Ewing sarcoma
- Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
- Abstractive Text Summarization of Hindi Corpus using Transformer Encoder-Decoder Model
- Automatic Text Classification for Web-based Malayalam Documents
- Question and Answer Generation from Text using Transformers
- A Comparative Study of Spam SMS Detection using various Supervised Machine Learning Algorithms
- Evaluation of Tweet Sentiments Using NLP
- Cascaded Feature Vector Assisted Blood Vessel Segmentation from Retinal Images
- Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
- EEG-based Emotion Recognition using an Ensemble Learning Algorithm
- Imaging and Vision Development Platform with algorithm library for intelligent vision systems
- Pulse Decomposition Analysis Based Non-Invasive Diabetes Detection System
- Noise classification and removal in compressively sensed surveillance videos using statistical measures
- DNA and Improved Sine Map based Video Encryption
- The Analysis of Srgb Color Space Based Density for Brain Tumor Segmentation
- Improved Kapur Entropy based Lung Nodule Segmentation in X-ray Images
- Comparative Analysis of Various Standards for Medical Image Compression
- Repetitive Filtering based Intra Prediction Scheme for HEVC
- Identification and counting of blood cells using machine learning and image processing
- EDGE-based ML in W-band Target Micro-Doppler Feature Extraction
- Emotion Detection Using Speech Analysis
- FED6G: Chameleon Learning for Network Slice Management in Beyond 5G Systems
- H-SWIPT based Energy-Efficient Clustering for Multi-hop IoT Networks
- Application Mapping Onto Network On Chip Using Cat Swarm Optimisation
- Advances in Vision Based UAV Manoeuvring Techniques
- Modeling the Impact of Fake Data Dissemination During Covid-19
- On Ups and Downs in Analyzing Web Activity Data: Notes from a Project