The proceedings contain 36 papers. The special focus in this conference is on informationtechnology. The topics include: Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease;an Automatic Early Alert S...
ISBN:
(纸本)9789819959938
The proceedings contain 36 papers. The special focus in this conference is on informationtechnology. The topics include: Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease;an Automatic Early Alert System on Detecting Dozing Driver;Reversible Image Steganography to Achieve Effective PSNR;EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance;a Study of Feature-Based and Pixel-Level Image Fusion Techniques;catch Your Session, Track Your Pulse e-Health Service Using Blockchain;ansuni Baat—A Bridge to Sign Language Communication;a Review of Deep Learning Algorithms for Early Detection of Oral Mouth Cancer;malware Detection Using Deep Learning;cancer Hotspot Identification and Analysis: A Scan Statistics Approach;Automatic Title Generation with Attention-Based LSTM;COVID-19 (COV-19) Spreading Diagnoses by Feature Representation Method Through Visual Learning (FVisL-CoV19);alzheimer’s Disease Classification Using Deep Learning Models;Brain Pathology Detection Using Convolutional Neural Network from EEG Signal;CNN-Based Adversarial Embedding for Image Steganograpy;machine Learning Approaches for Entity Extraction from Citation Strings;A Survey on Brain Tumor Segmentation with Missing MRI Modalities;deep Learning Based Segmentation Approach for Cervical Cancer Detection Using Pap Smears;hybrid Sign Language Interpreter Development Using Machine Learning Approach;community Detection Algorithms in Social Networks: An Empirical Evaluation;an Artificial Voice Box that Makes Use of Unconventional Methods of Machine Learning;Designing Hybrid Image Fusion Algorithm Using CNN and Stationary Wavelet Transform;predict Pawpularity Score of Pets Using State of Art Algorithms;comparative Analysis of Balanced Code Smell Detection Using Machine Learning;ETL Data Pipeline to Analyze Scraped Data.
The proceedings contain 36 papers. The special focus in this conference is on informationtechnology. The topics include: Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease;an Automatic Early Alert S...
ISBN:
(纸本)9789819959969
The proceedings contain 36 papers. The special focus in this conference is on informationtechnology. The topics include: Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease;an Automatic Early Alert System on Detecting Dozing Driver;Reversible Image Steganography to Achieve Effective PSNR;EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance;a Study of Feature-Based and Pixel-Level Image Fusion Techniques;catch Your Session, Track Your Pulse e-Health Service Using Blockchain;ansuni Baat—A Bridge to Sign Language Communication;a Review of Deep Learning Algorithms for Early Detection of Oral Mouth Cancer;malware Detection Using Deep Learning;cancer Hotspot Identification and Analysis: A Scan Statistics Approach;Automatic Title Generation with Attention-Based LSTM;COVID-19 (COV-19) Spreading Diagnoses by Feature Representation Method Through Visual Learning (FVisL-CoV19);alzheimer’s Disease Classification Using Deep Learning Models;Brain Pathology Detection Using Convolutional Neural Network from EEG Signal;CNN-Based Adversarial Embedding for Image Steganograpy;machine Learning Approaches for Entity Extraction from Citation Strings;A Survey on Brain Tumor Segmentation with Missing MRI Modalities;deep Learning Based Segmentation Approach for Cervical Cancer Detection Using Pap Smears;hybrid Sign Language Interpreter Development Using Machine Learning Approach;community Detection Algorithms in Social Networks: An Empirical Evaluation;an Artificial Voice Box that Makes Use of Unconventional Methods of Machine Learning;Designing Hybrid Image Fusion Algorithm Using CNN and Stationary Wavelet Transform;predict Pawpularity Score of Pets Using State of Art Algorithms;comparative Analysis of Balanced Code Smell Detection Using Machine Learning;ETL Data Pipeline to Analyze Scraped Data.
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