Vanita Jadhav

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Brian Burton

Abilene Christian University

Yasemin Allsop

University College London

Raman Singh

Thapar University, Patiala

Shafira Izabal

University of Brawijaya

Hatim Mohamad Tahir

Universiti Utara Malaysia

Nutan F Haq

Ahsanullah University of Science and Technology

Ryan Ari Setyawan

Janabadra University

Lachgar Mohamed

University Caddi Ayayd

Imam Cholissodin

University of Brawijaya

Larissa Medeiros Marinho Dos Santos

UFSJ - Federal University of São João Del-Rei

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Papers by Vanita Jadhav

Face Match Detection using AI and ML

International Journal of Advanced Research in Science, Communication and Technology, Jun 23, 2022

Artificial intelligence and machine learning are the part of computer science that are correlated... more Artificial intelligence and machine learning are the part of computer science that are correlated with each other. Application of AI &amp; ML is increasing rapidly. Face detection has over time proven to be the least intrusive and fastest form of biometric verification. Facial Detection is a category of biometric software that maps an individual’s facial features and stores the data as a face print. The software uses deep learning algorithms to compare a live captured image to the stored face print to verify one’s identity.

Electronic Voting System Security Based on Multichain Platform

International Journal of Innovations in Engineering Research and Technology, 2019

Crypto currency, and its underlying technologies, has been gaining popularity for transaction man... more Crypto currency, and its underlying technologies, has been gaining popularity for transaction management beyond financial transactions. Transaction information is maintained in the block chain, which can be used to audit the integrity of the transaction. The focus on this paper is the potential availability of blockchain technology of other transactional uses. Block-chain is one of the most stable open ledgers that preserves transaction information, and is difficult to forge. Since the information stored in block-chain is not related to personally identifiable information, it has the characteristics of anonymity. Also, the block-chain allows for transparent transaction verification since all information in the block-chain is open to the public. These characteristics are the same as the requirements for a voting system. That is, strong robustness, anonymity, and transparency. In this paper, we propose an electronic voting system as an application of block chain, and describe block-chain based voting at a national level through examples.

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Enhancement Technique for Early Stage Lung Cancer Detection Using Foldscope Methodology

Springer eBooks, 2021

A Study on Medical Image Data Augmentation Using Learning Techniques

Lecture notes in networks and systems, Nov 6, 2022

Foldscope to Detect the Growth of Microorganisms on Various Materials and Vessels

Springer eBooks, 2021

Smart Voting through UID Verification by using Face Recognition

IJETT, Apr 13, 2019

Image processing is a process, method, technology which is used to perform some operations on an ... more Image processing is a process, method, technology which is used to perform some operations on an image, in order to get an upgrade image or to extract some useful information from it. In urban region voting is the major issue, identification of person is most important. Sometime people can use fake voter identity for voting. For avoiding this problem we have to develop a system which can identify the face of person and check in present database if face is match in that point the system can return output as UID of the person. After verification of valid face and UID the voter can enter to vote. Data will be store at only one place, so winning party information can be announced within short time period.

A Review on Enhanced Inter-cell Interference Coordination in Long Term Evolution Heterogeneous Networks

The success of LTE heterogeneous networks (Het-Nets) with macrocells and picocells critically is ... more The success of LTE heterogeneous networks (Het-Nets) with macrocells and picocells critically is contingent on efficient spectrum division between high-power macros and low-power picos. Two important tasks in this situation are: 1) Determining the amount of radio resources that macrocells should offer to picocells, and 2) Influential the association rules that resolve which user equipments (UEs) should associate with picos. In this system, progress a novel algorithm to solve these two joined problems in a dual manner. Proposed algorithm has provable guarantee, and furthermore, it explanations for network topology, traffic load, and macro-pico interference map. Our result is standard compliant and can be executed using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. Simulation result also show general evaluations using RF plan from a real network and discuss selfoptimized networking (SON)-based improved inter-cell interference coordination (eICIC) employment.

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Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer

CRC Press eBooks, Nov 7, 2022

A Study on Medical Image Data Augmentation Using Learning Techniques

Lecture notes in networks and systems, Nov 6, 2022

Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer

CRC Press eBooks, Nov 7, 2022

Face Match Detection using AI and ML

International Journal of Advanced Research in Science, Communication and Technology

Artificial intelligence and machine learning are the part of computer science that are correlated... more Artificial intelligence and machine learning are the part of computer science that are correlated with each other. Application of AI & ML is increasing rapidly. Face detection has over time proven to be the least intrusive and fastest form of biometric verification. Facial Detection is a category of biometric software that maps an individual’s facial features and stores the data as a face print. The software uses deep learning algorithms to compare a live captured image to the stored face print to verify one’s identity.

Randomized Visual Cryptography scheme for color images

In this paper, we propose a new color visual cryptography scheme which is based on modified visua... more In this paper, we propose a new color visual cryptography scheme which is based on modified visual cryptography. Visual Cryptography is based on cryptography where n images are encoded in a way that only the human visual system can decrypt the hidden message without any cryptographic computations when all shares are stacked together. In this scheme sender can share n-1 natural images and one secrete image of variable size with the server and it make the encryption with extraction of feature of natural images without altering the contents of natural images. When the receiver identification is done that time server make the decryption process and send the secrete image with transmitted by highly secure secret channel. Moreover, this approach avoids the pixel expansion problem and makes it possible to recover secret images without any distortion.

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Electronic Voting System Security based on Multichain Platform

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Smart Voting through UID Verification by using Face Recognition

A Review on Enhanced Inter-cell Interference Coordination in Long Term Evolution Heterogeneous Networks

The success of LTE heterogeneous networks (Het- Nets) with macrocells and picocells critically is... more The success of LTE heterogeneous networks (Het- Nets) with macrocells and picocells critically is contingent on efficient spectrum division between high-power macros and low-power picos. Two important tasks in this situation are: 1) Determining the amount of radio resources that macrocells should offer to picocells, and 2) Influential the association rules that resolve which user equipments (UEs) should associate with picos. In this system, progress a novel algorithm to solve these two joined problems in a dual manner. Proposed algorithm has provable guarantee, and furthermore, it explanations for network topology, traffic load, and macro-pico interference map. Our result is standard compliant and can be executed using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. Simulation result also show general evaluations using RF plan from a real network and discuss selfoptimized networking (SON)-based improved inter-cell interference coor...

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Techniques for Enhanced Inter-Cell Interference Coordination for LTE in HetNets

In order to meet the growing demand for mobile broadband and users’ expectations, it is necessary... more In order to meet the growing demand for mobile broadband and users’ expectations, it is necessary improve data performance overall and at cell edges. The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically is contingent on efficient spectrum division between high-power macros and low-power picos. Two important tasks in this situation are: 1) Determining the amount of radio resources that macrocells should offer to picocells, and 2) Influential the association rules that resolve which user equipments (UEs) should associate with picos. In this system, progress a novel algorithm to solve these two joined problems in a dual manner. Proposed algorithm has provable guarantee, and furthermore, it explanations for network traffic load, topology, and macro-pico interference map. Our result is standard compliant and can be executed using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. Simulation result al...

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Algorithms for eICIC in LTE HetNets

The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depe... more The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depends on efficient spectrum sharing between high-power macros and low-power picos. Two important challenges in this context are: 1) determining the amount of radio resources that macrocells should offer to picocells, and 2) determining the association rules that decide which user equipments (UEs) should associate with picos. In this paper, we develop a novel algorithm to solve these two coupled problems in a joint manner. Our algorithm has provable guarantee, and furthermore, it accounts for network topology, traffic load, and macro-pico interference map. Our solution is standard compliant and can be implemented using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. (eICIC) implementation.

Fold Scope: A Low-Cost Magnification Device and Its Applications in Various Fields

Techno-Societal 2018, 2019

Foldscope can be used in various disciplines like material science, physics, chemistry and life s... more Foldscope can be used in various disciplines like material science, physics, chemistry and life science such as biology and cell biology. In this paper, we present the applications of foldscope which can be used by everyone for various research as well as development purpose. We describe the experimental way by implementing foldscope on different applications which people can refer to learn how to use the Foldscope. We have displayed the results using a sophisticated camera in our case a mobile phone camera. People can similarly use imaging devices to show the effect and learn life at a microscopic level more precisely. We have used this foldscope in Food testing and nutrition, Sanitary care, Environment control and in the Agricultural field. We have also shown the use of foldscope in the educational field.

Smart Voting through UID Verification by using Face Recognition

by Vidya Maskar and Vanita Jadhav

IJETT, 2019

Foldscope to Detect the Growth of Microorganisms on Various Materials and Vessels

Techno-Societal 2020

Face Match Detection using AI and ML

International Journal of Advanced Research in Science, Communication and Technology, Jun 23, 2022

Electronic Voting System Security Based on Multichain Platform

International Journal of Innovations in Engineering Research and Technology, 2019

Download

Enhancement Technique for Early Stage Lung Cancer Detection Using Foldscope Methodology

Springer eBooks, 2021

A Study on Medical Image Data Augmentation Using Learning Techniques

Lecture notes in networks and systems, Nov 6, 2022

Foldscope to Detect the Growth of Microorganisms on Various Materials and Vessels

Springer eBooks, 2021

Smart Voting through UID Verification by using Face Recognition

IJETT, Apr 13, 2019

A Review on Enhanced Inter-cell Interference Coordination in Long Term Evolution Heterogeneous Networks

Download

Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer

CRC Press eBooks, Nov 7, 2022

A Study on Medical Image Data Augmentation Using Learning Techniques

Lecture notes in networks and systems, Nov 6, 2022

Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer

CRC Press eBooks, Nov 7, 2022

Face Match Detection using AI and ML

International Journal of Advanced Research in Science, Communication and Technology

Artificial intelligence and machine learning are the part of computer science that are correlated... more Artificial intelligence and machine learning are the part of computer science that are correlated with each other. Application of AI & ML is increasing rapidly. Face detection has over time proven to be the least intrusive and fastest form of biometric verification. Facial Detection is a category of biometric software that maps an individual’s facial features and stores the data as a face print. The software uses deep learning algorithms to compare a live captured image to the stored face print to verify one’s identity.

Randomized Visual Cryptography scheme for color images

Download

Electronic Voting System Security based on Multichain Platform

Download

Smart Voting through UID Verification by using Face Recognition

A Review on Enhanced Inter-cell Interference Coordination in Long Term Evolution Heterogeneous Networks

The success of LTE heterogeneous networks (Het- Nets) with macrocells and picocells critically is... more The success of LTE heterogeneous networks (Het- Nets) with macrocells and picocells critically is contingent on efficient spectrum division between high-power macros and low-power picos. Two important tasks in this situation are: 1) Determining the amount of radio resources that macrocells should offer to picocells, and 2) Influential the association rules that resolve which user equipments (UEs) should associate with picos. In this system, progress a novel algorithm to solve these two joined problems in a dual manner. Proposed algorithm has provable guarantee, and furthermore, it explanations for network topology, traffic load, and macro-pico interference map. Our result is standard compliant and can be executed using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. Simulation result also show general evaluations using RF plan from a real network and discuss selfoptimized networking (SON)-based improved inter-cell interference coor...

Download

Techniques for Enhanced Inter-Cell Interference Coordination for LTE in HetNets

Download

Algorithms for eICIC in LTE HetNets

Fold Scope: A Low-Cost Magnification Device and Its Applications in Various Fields

Techno-Societal 2018, 2019

Smart Voting through UID Verification by using Face Recognition

by Vidya Maskar and Vanita Jadhav

IJETT, 2019

Foldscope to Detect the Growth of Microorganisms on Various Materials and Vessels

Techno-Societal 2020

Vanita Jadhav

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