R.S. Mitra
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View article: Estimating Nitrogen Dioxide Levels Using Open Data and Machine Learning: A Comparative Modeling Study
Estimating Nitrogen Dioxide Levels Using Open Data and Machine Learning: A Comparative Modeling Study Open
Nitrogen dioxide (NO2) is a critical pollutant with widespread effects on both air quality and environmental health, recognized as a key concern within the United Nations’ Sustainable Development Goals (SDGs). This study investigates NO2 l…
View article: Music Generation Using Deep Learning and Generative AI: A Systematic Review
Music Generation Using Deep Learning and Generative AI: A Systematic Review Open
This paper presents a systematic review of recent advances in music generation using deep learning techniques, categorizing the latest research in the field and identifying key contributions from various approaches. The study examines comm…
View article: Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction Open
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory moti…
View article: Variable Selection in Data Analysis: A Synthetic Data Toolkit
Variable Selection in Data Analysis: A Synthetic Data Toolkit Open
Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effe…
View article: Comparison of Cloud-Computing Providers for Deployment of Object-Detection Deep Learning Models
Comparison of Cloud-Computing Providers for Deployment of Object-Detection Deep Learning Models Open
As cloud computing rises in popularity across diverse industries, the necessity to compare and select the most appropriate cloud provider for specific use cases becomes imperative. This research conducts an in-depth comparative analysis of…
View article: Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention
Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention Open
The rise in crime rates in many parts of the world, coupled with advancements in computer vision, has increased the need for automated crime detection services. To address this issue, we propose a new approach for detecting suspicious beha…
View article: Wireless Capsule Endoscopy Image Classification: An Explainable AI Approach
Wireless Capsule Endoscopy Image Classification: An Explainable AI Approach Open
Deep Learning has contributed significantly to the advances made in the fields of Medical Imaging and Computer Aided Diagnosis (CAD). Although a variety of Deep Learning (DL) models exist for the purposes of image classification in the med…