Sonali Goyal
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View article: Handling Missing Values In Preterm Birth Dataset Using An Optimized Multinomial Naïve Bayes Model
Handling Missing Values In Preterm Birth Dataset Using An Optimized Multinomial Naïve Bayes Model Open
Missing values lower the quantity of information that machine learning (ML) methods learn during the training phase which harms classification accuracy. This research work presents an optimized multinomial Naïve Bayes (NB) classifier as a …
View article: Enhanced Deep Learning Framework for the Detection of Crop Leaf Diseases
Enhanced Deep Learning Framework for the Detection of Crop Leaf Diseases Open
Crop diseases significantly impact food production, making their early identification crucial for farmers. In India alone, over 43,000 acres are dedicated to stone fruit cultivation, producing approximately 0.25 million tons annually. Iden…
View article: An Efficient Grocery Detection System Using HYOLO-NAS Deep Learning Model for Visually Impaired People
An Efficient Grocery Detection System Using HYOLO-NAS Deep Learning Model for Visually Impaired People Open
Real-time application of object detections are common, and the area of computer vision dramatically benefits from them. Recognizing grocery items poses a more significant challenge for blind individuals compared to those with normal vision…
View article: Machine Learning based Exploratory Data Analysis (EDA) and Diagnosis of Chronic Kidney Disease (CKD)
Machine Learning based Exploratory Data Analysis (EDA) and Diagnosis of Chronic Kidney Disease (CKD) Open
INTRODUCTION: This research paper presents an exploratory data analysis (EDA) approach to diagnose Chronic Kidney Disease (CKD) using machine learning algorithms. OBJECTIVES: This paper focuses on early and accurate detection of CKD using …
View article: Automation of smart home for well being of individual using face detection and recognition
Automation of smart home for well being of individual using face detection and recognition Open
This work designs Face detection and recognition system to provide security to an individual living alone at home. Enhancement and improvement of this complete system is done by joining two algorithms Principle Component Analysis and Indep…
View article: Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review Open
Plant diseases are assumed to be one of the primary causes regulating food manufacturing and reducing deficits in crop yield, and it is crucial that plant diseases have rapid spotting and identification. Since the demand for food is rising…
View article: MFRASTA: Voice biometric feature using integration of MFCC and RASTA-PLP
MFRASTA: Voice biometric feature using integration of MFCC and RASTA-PLP Open
Pervasive computing is the area which is growing very rapidly in today's world. The main concept used in pervasive computing is the advancement of technology and equipment's computing is going smaller and gaining more power. In pervasive c…
View article: Role of port incision site and intraperitoneal Inj. Lignocaine 2% instillation on post-operative pain relief after laparoscopic surgery
Role of port incision site and intraperitoneal Inj. Lignocaine 2% instillation on post-operative pain relief after laparoscopic surgery Open
Introduction: Laparoscopic surgery, in particular, has seen tremendous advances. Breakthroughs in video technology, instrumentation, adhesion prevention, and computer-enhanced technology have certainly allowed surgeons to routinely perform…
View article: Issues and Challenges of Voice Recognition in Pervasive Environment
Issues and Challenges of Voice Recognition in Pervasive Environment Open
Objectives: To provide detailed study of all the algorithms and analyse them in a way to conclude that an integration approach describes the best combination for voice recognition in terms of recognition rate. Methods: Voice processing is …
View article: Dynamic Trust Level Decision in Pervasive Environment
Dynamic Trust Level Decision in Pervasive Environment Open
Pervasive computing expands the computing part in physical world.Goal of this technology is to create ambient intelligence where devices are embedded in the environment in order to provide connectivity all the time.However, not all informa…