Vijender Kumar Solanki
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View article: Resilient security architecture for smart buildings using DLT powered encryption
Resilient security architecture for smart buildings using DLT powered encryption Open
High transaction fees, security vulnerabilities, and inefficiencies in traditional blockchain systems have long hindered the scalability and cost-effectiveness of real-time sensor networks in the Smart buildings. This study addresses these…
View article: Cows' behavior classification using acceleration data: A new, effective, and simple approach
Cows' behavior classification using acceleration data: A new, effective, and simple approach Open
Monitoring and classifying cow behaviors provides valuable support for livestock management. This can be done through sensors attached to the pet. Due to their small size, light weight, and high accuracy, accelerometers are well-suited for…
View article: A Comprehensive Review on AI-Driven Healthcare Transformation
A Comprehensive Review on AI-Driven Healthcare Transformation Open
Introduction: In the dynamic landscape of healthcare, the intersection of cutting-edge technology and patient-centric solutions has sparked a paradigm shift, and at the forefront of this transformative wave is Artificial Intelligence (AI).…
View article: The role of various forms of subjective well being with quality of work life in the aviation industry
The role of various forms of subjective well being with quality of work life in the aviation industry Open
Aim/purpose – This study explores the crucial link between the quality of work life (QWL) and subjective well-being (SWB) among aviation industry employees. By delv- ing into the current state of QWL and its relationship with key aspects o…
View article: Interpolation synthesis of thecontrollers for a multi-motorelectric drive system containingan elastically linked element
Interpolation synthesis of thecontrollers for a multi-motorelectric drive system containingan elastically linked element Open
Partial differential equations, integral, differential, or other equations describe multi-motor automatic electric drive systems containing elastic conveyor belts. Because of the elastic and distributive nature of the system parameters, th…
View article: An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing.
An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing. Open
Internet is the largest source of data and the requirement of data analytics have fueled the data warehouse to switch from structured conventional Data Warehouse to complex Web Data Warehouse. The dynamic and complex nature of web poses va…
View article: Web Defenselessness Recognition Against Case of Cross Site Demand Fake
Web Defenselessness Recognition Against Case of Cross Site Demand Fake Open
To use machine learning to discover web application security issues (ML). Web applications are notoriously difficult to analyses due to their variety and bespoke construction. Machine learning protects websites and other digital assets. It…
View article: Research Trends on Business Process Management in Higher Education and Recommendations for Vietnam
Research Trends on Business Process Management in Higher Education and Recommendations for Vietnam Open
Business process management at universities appears to be one of the acute issues which allow universities to foster their training quality, along with significantly contributing to creating recommendation policies for the business process…
View article: High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme Open
In ultrasound tomography, cross-sectional images represent the spatial distribution of the physical parameters of a target of interest, which can be obtained based on scattered ultrasound measurements. These measurements can be obtained fr…
View article: Unemployment Rate Future Forecasting Using Supervised Machine Learning Models
Unemployment Rate Future Forecasting Using Supervised Machine Learning Models Open
This study sees how well various models can anticipate the jobless rate.The objective of the review is to find the best model for anticipating jobless rates.There is likewise the utilization of a spiral premise neural network and learning …
View article: Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms
Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms Open
In this study, plant species were classified on the Iris dataset using Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), and K-Means algorithms.In this process, models were developed for each method, success rates were obtained,…
View article: Creating awareness and implementing Blooms Taxonomy in teaching pedagogy—with special reference to Higher Education
Creating awareness and implementing Blooms Taxonomy in teaching pedagogy—with special reference to Higher Education Open
4The main objective of this study is to design a questionnaire which helps to measure the constructive alignment of Blooms taxonomy as per the six level of cognition.To achieve the objective, questionnaire was designed.This questionnaire w…
View article: Comparative analysis on deep neural network models for detection of cyberbullying on Social Media
Comparative analysis on deep neural network models for detection of cyberbullying on Social Media Open
Social media usage has been increased and it consists of both positive and negative effects. By considering the misusage of social media platforms by various cyberbullying methods like stalking, harassment there should be preventive method…
View article: An Enhanced Multi-Frequency Distorted Born Iterative Method for Ultrasound Tomography Based on Fundamental Tone and Overtones
An Enhanced Multi-Frequency Distorted Born Iterative Method for Ultrasound Tomography Based on Fundamental Tone and Overtones Open
Conventional Distorted Born Iterative Method (DBIM) using single frequency has low resolution and is prone to creating images with high-contrast subjects. We propose a productive frequency combination method to better result in tomographic…
View article: Online SARIMA applied for short-term electricity load forecasting
Online SARIMA applied for short-term electricity load forecasting Open
Short-term Load Forecasting (STLF) plays a crucial role in balancing supply and demand of load dispatching operation, ensures stability for the power system. With the advancement of real-time smart sensors in power systems, it is of great …
View article: ICMLANT 2020 Preface
ICMLANT 2020 Preface Open
shares his greetings wishes to congress.The congress report was read out by Dr. Ajay Mousmi Chorasia, SMIEEE and she share that conference attracts 183 submissions from various part of country.The TPC after the three reviewer reports ident…
View article: IJMLNCE Editorial Note Volume No 04, Issue No 01
IJMLNCE Editorial Note Volume No 04, Issue No 01 Open
It gives me pleasure to present the editorial preface of the International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) Volume 04 No 01 (2020). This issue comprises five manuscripts contributed by authors. …
View article: Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data.
Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data. Open
In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem. Moreover, the huge amount of …
View article: A monotonic optimization approach for solving strictly quasiconvex multiobjective programming problems
A monotonic optimization approach for solving strictly quasiconvex multiobjective programming problems Open
In this article, we use a monotonic optimization approach to propose an outcome-space outer approximation by copolyblocks for solving strictly quasiconvex multiobjective programming problems which include many classes of captivating proble…
View article: Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT).
Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT). Open
The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on their requirement, …
View article: Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time Data Analysis
Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time Data Analysis Open
Introduction: The article is the product of the research “Due to the increase in popularity of Internet of Things (IoT), a huge amount of sensor data is being generated from various smart city applications”, developed at Pondicherry Univer…
View article: Volume No 04 Issue No 03 2020
Volume No 04 Issue No 03 2020 Open
Face Recognition Approach using Stereo Matching Algorithm Enhancing the Accuracy of Indoor Positioning Using System Delay Time Compensation E-Recruitment In HR Consultants via E-Technology A Model on Fuzzy Logic Implementation in the Devel…
View article: Volume No 04 Issue No 04 2020
Volume No 04 Issue No 04 2020 Open
[1] Hung, Bui Thanh (2020). Assessment of Recruitment Records using Machine Learning Approach. International Journal of Machine Learning and Networked Collaborative Engineering, 4(04) pp 143-151. doi : https://doi.org/10.30991/IJMLNCE.2020…