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Research Paper

Jocata Grid: To study Artificial Intelligence (AI) used for fraud detection and reduction in False Positive

Fraud detection in today’s arena presents numerous challenges since fraud instances are present in all sources and walks of life. Technological innovations have always proven a boon for the Financial Crime and Compliance Industry with the ascent of big data and man-made consciousness, new freedoms have emerged in utilizing progressed AI models. With renewed promises to fight frauds and other financial crimes, it is imperative to look at intelligent solutions that can prevent and detect internal fraud. With regulators encouraging the use of advanced technologies like analytics, machine learning (ML), and other forms of artificial intelligence (AI) in managing FinCrime risks. We summarise our findings in the research for a reduction in False Positives and to increase the efficiency of fraud detection and conclude by deriving key values created and captured from our analyses.

Published by: Sahil Sharad Patil

Author: Sahil Sharad Patil

Paper ID: V8I1-1423

Paper Status: published

Published: February 22, 2022

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Review Paper

Availability and utilization of teaching resources for effective computer science education for youth empowerment in Anambra state

This study was an assessment of the extent of availability and Utilization of Teaching resources for effective Computer Science Education in the Technical Colleges of Anambra State. To carry out the study, two research questions and a Null Hypothesis was formulated. The data were analyzed using Mean, standard deviation and z-test respectively. A questionnaire with 45 items were developed and used for collecting data from the respondents. The population of the study was 534. A sample size of 300 respondents was obtained using stratified random sampling techniques comprising of 215 vocational students and 85 technical teachers in four technical colleges of the state. A reliability test was conducted using Pearson (r) product moment correlation co-efficient and the instrument yielded an internal consistency of 0.69. Results showed among other things that teaching resources like Audio, Printed and non-projected teachings and worksheets were not available. Extent of utilization of teaching resources indicates that Audio, Computer Mediated teachings and non-projected display teachings were not utilized in the teaching and learning in the technical colleges. Based on the findings, recommendations were made as; teaching resources should be provided in all the departments in the technical colleges for effective teaching and government should monitor utilization of teaching resources in all the technical colleges to enable the youths pass out with skills for self-employment.

Published by: Gloria Ebere Amadi, Mba Chioma Juliet, Nwankwo Ugochukwu Cornelius

Author: Gloria Ebere Amadi

Paper ID: V8I1-1422

Paper Status: published

Published: February 22, 2022

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Research Paper

Stress of COVID-19 on dental postgraduates of India – A questionnaire-based survey

The rapid, sudden and extensive spread of the COVID-19 pandemic has become a major cause of concern for the healthcare profession. Dentists and dental students are at the highest risk of infection. This questionnaire-based study aims to assess the stress level because of COVID-19 disease and related infection among dental postgraduate students in various states of India. It was concluded that dentists or dental students are more anxious and fearful about COVID-19 because of the loss of academic and clinical hours along with high-risk infections during clinical procedures.

Published by: Santoshni Samal, Rahul Shah, Mukesh Kumar, Ilham Zaidi, Ratna Renu Baliarsingh

Author: Santoshni Samal

Paper ID: V8I1-1428

Paper Status: published

Published: February 21, 2022

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Research Paper

Indian sign language interpreter

Hand gestures which are a form of non-verbal communication are a strong way to communicate with a hearing-impaired community. It helps to establish human-computer communication. The purpose of this project is to help the dumb and deaf people for ease in communication as this project will help us to understand their sign language to some extent as both hands are used for performing any gesture and this will eventually help them to communicate with others. Image classification is done using neural networks. The task is accomplished using Machine learning and Image classification. InceptionV2 model with feature vector is used to train the dataset of around 10000 images in total and 300 images of each sign which gives the optimum accuracy.

Published by: Shivam Sonawane, Nisha Sodha, Shubham Mangrule, Srushti Shingade, Aniket Joshi, Nupur Shinde

Author: Shivam Sonawane

Paper ID: V8I1-1257

Paper Status: published

Published: February 15, 2022

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Research Paper

Gender and age detection

This project is about gender and age detection. Nowadays, age and gender classification are being used in many applications like human-computer interaction, biometrics, video surveillance, forensic, etc. The main objective of this project is to compare the image with the reference images stored as templates in the database and to check how approximately it gives the accuracy by detecting the age and gender. The age and gender are detected by giving the picture and video file as input. It is used on the basis of deep learning and successfully applied to the image classification area. Gender and age detection from images of human faces and also the video is an essential part of our method for anomalous human behavior.

Published by: A. K. Ashmitha, Dr. V. Usharani

Author: A. K. Ashmitha

Paper ID: V8I1-1385

Paper Status: published

Published: February 15, 2022

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Research Paper

Student-alumni network web app

Alumni are the most important asset for an institution’s development so an efficient alumni network system is needed. The existing alumni system is not highly interactive and is error prone. The proposed system will help alumni and the concern institution to create strong bonding through sharing their experiences, views, ideas, guidance, motivation inputs and strategies. Not only this, under this work the student and alumni are brought under one system so that the collaboration and communication between them is more and results in the institution’s development. The design is engaging and ensures user satisfaction. Latest in demand technologies are used in this system.

Published by: Mohit Arora, Ankit Negi, Mohd Salar Khan

Author: Mohit Arora

Paper ID: V8I1-1413

Paper Status: published

Published: February 15, 2022

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