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A Brief Introduction
The goal is to publish articles & research that are cutting-edge in all fields of Engineering that is used in Current Technology & Innovation. The Journal’s editorial board will assess all papers submitted. Regular papers, short papers, review pieces, and other types of submissions were welcomed by the journal. All papers must present original, previously unpublished research with experimental or theoretical results. Articles should meet these requirements and should not be under consideration for publication elsewhere. Manuscripts must adhere to the journal’s style and are subject to both review and editing. If the technical committee finds any difficulties with the content or any violations of our publishing regulations, they reserve the right to reject the paper or ask for modifications. It is the prime responsibility of the author to gain proper authorization for the use of any copyrighted materials in the manuscript, prior to the submission of the manuscript to NIETJET.
Recent Published Articles
Ms. Nidhi Airi, Ms. Neha Bani, Mr. Anuj Kumar
The Evolution of Cloud Computing: Trends, Challenges, and Future Directions
Because cloud computing offers changing, controlled access to a common pool of computer resources, it has completely changed how businesses operate, develop, and provide value to their consumers. Cloud computing has evolved over the last 20 years from a notion to a vital infrastructure supporting digital transformation in many different industries. An outline of the history of cloud computing is provided in this study, which traces significant turning points from the introduction of mainframe machines to the widespread use of cloud-native technologies.
It emphasizes the value that cloud computing is as an asset for every facet of society along with the way it is fostering innovation in academia, government, and commercial. The study also looks at how cloud computing has made it easier for businesses to integrate cutting-edge technologies like AI, big data analytics, and the Internet of Things. This has allowed them to get insights, streamline processes, and provide users with individualized experiences. Organisations may fully utilise cloud computing to promote digital transformation, accomplish corporate goals, and influence the direction of computing by embracing trends, facing obstacles, and utilising developing technology.
Himanshu Yadav, Devendra Pratap, Anshuman Singh
Human Face Detection and Identification of Facial Expressions Using MATLAB
One of the least complex method for recognizing individual character is by taking a gander at the face. Face Recognition is a kind of Personal Identification System that utilizes an individual’s very own characteristics to decide their character. The Facial Expressions likewise convey rich data about human relations, feelings and assume a fundamental part in human correspondence. Programmed Face Detection and Expression Recognition had been concentrated on worldwide in most recent twenty years, which has turned into the exceptionally dynamic examination region in Computer Vision and Pattern Recognition. The necessity for Automatic Recognition and Surveillance Systems, the interest in human visual framework on face acknowledgment, and the plan of human-PC connection point are a portion of the causes. Face Detection can be applied for a wide assortment of issues like Image and Film Processing, Human-Computer Interaction, Criminal Identification, Image Database Management and so on.
Shudhanshu Ranjan, Shashank Singh, Dhananjay Singh, Anshuman Singh, Pavan Kumar Shukla, Vinod M. Kapse
SMART DUSTBIN USING ARDUINO NANO
The project’s major goal is to create an intelligent trash can that would aid in maintaining a clean and environmentally friendly environment. The Swachh Bharat Mission motivates us. Since technology is becoming increasingly intelligent, we are utilising Arduino nano to develop an intelligent dustbin to help clean the environment. The ultrasonic sensors on the trashcan are part of the dustbin control and management system, which happens to be designed with a microcontroller-based platform. In the suggested method, we used an ARDUINO NANO, an ultrasonic sensor, a Mini servo motor, and jumper wire linked to a charger to construct an intelligent trash can. The Smart Dustbin application will launch when all hardware and software connections have been made. Dustbin lid will wait for the person to pass by at a distance of 60 cm.
Mansi Pandey, Mayank kumar, Dhananjay Singh, Anshuman Singh, Pavan Kumar Shukla, Vinod M. Kapse
Fake News Detection using Deep Learning
Detection of fake news based on deep learning techniques is a major issue used to mislead people. For the experiments, several types of datasets, models, and methodologies have been used to detect fake news. Also, most of the datasets contain text id, tweets id, and user-based id and user-based features. To get the proper results and accuracy various models like CNN (Convolution neural network), DEEP CNN, and LSTM (Long short-term memory) are used.
Dr. Mohammad Shahid, Dr. Sunil Gupta
A Clustering Based Approach for knowledge discovery on web.
In many fields, such as industry, commerce, government, and education, knowledge discovery and data mining can be immensely valuable to the subject of Artificial Intelligence. Because of the recent increase in demand for KDD techniques, such as those used in machine learning, databases, statistics, knowledge acquisition, data visualisation, and high performance computing, knowledge discovery and data mining have grown in importance. By employing standard formulas for computational correlations, we hope to create an integrated technique that can be used to filter web world social information and find parallels between similar tastes of diverse user information in a variety of settings.