Meenakshi S. Arya

ORCID: 0000-0001-6631-8810
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About
Contact & Profiles
Research Areas
  • Artificial Intelligence in Healthcare
  • Advanced Steganography and Watermarking Techniques
  • Cutaneous Melanoma Detection and Management
  • Nonmelanoma Skin Cancer Studies
  • Vehicle License Plate Recognition
  • Machine Learning in Healthcare
  • Imbalanced Data Classification Techniques
  • AI in cancer detection
  • Chaos-based Image/Signal Encryption
  • Advanced Image Fusion Techniques
  • Biometric Identification and Security
  • Remote Sensing and Land Use
  • Traffic Prediction and Management Techniques
  • Cloud Data Security Solutions
  • Stock Market Forecasting Methods
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Brain Tumor Detection and Classification
  • Skin Protection and Aging
  • Remote-Sensing Image Classification
  • Image Processing Techniques and Applications
  • Digital Media Forensic Detection
  • Smart Cities and Technologies
  • IPv6, Mobility, Handover, Networks, Security
  • Handwritten Text Recognition Techniques

Iowa State University
2023-2024

MIT World Peace University
2022-2023

SRM Institute of Science and Technology
2020-2022

Raisoni Group of Institutions
2019

Public Health Dayton & Montgomery County
2019

Baba Farid University of Health Sciences
2015-2017

Punjab Technical University
2015

Jaypee University of Information Technology
2010-2013

Savitribai Phule Pune University
2010

The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business Intelligent Traffic Systems (ITS) that have considerable untapped potential. 2023 challenge had five tracks, which drew a record-breaking number participation requests from 508 teams across 46 countries. Track 1 was brand new track focused on multi-target multi-camera (MTMC) people tracking, where trained evaluated using both real highly...

10.1109/cvprw59228.2023.00586 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023-06-01

Biometrics can be classified into two broad categoriesbehavioral (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.).Handwritten signature is amongst the first few biometrics to used even before advent of computers.Signature verification widely studied discussed using approaches [5].On-line approach uses an electronic tablet a stylus connected computer extract information about takes dynamic like; pressure, velocity, etc whereas in...

10.5120/199-338 article EN International Journal of Computer Applications 2010-02-25

As we know Energy is crucial research in today's world. Due to emerging trends technology, consumption of energy growing independently but production capabilities are not as fast so, efforts produce more proving hazards for our environment that usually becoming very important adopt saving. Cloud an hungry technology with data centre running hundreds hosts. 24*7 high. So, there the need study various techniques reduce this clouds and purpose algorithm consumption. objective paper efficient...

10.1109/icgciot.2015.7380621 article EN 2015-10-01

The technological advancements in today's healthcare sector have given rise to many innovations for disease prediction. Diabetes mellitus is one of the diseases that has been growing rapidly among people different age groups; there are various reasons and causes involved. All these considered as attributes this study. To predict type-2 diabetes disease, machine learning algorithms can be used. objective using algorithm construct a predictive model critically whether person affected by...

10.3389/fcomp.2022.835242 article EN cc-by Frontiers in Computer Science 2022-05-10

The technical improvements in healthcare sector today have given rise to many new inventions the field of artificial intelligence. Patterns for disease identification are carried out, and onset prediction diseases is detected. Diseases include diabetes mellitus disease, fatal heart diseases, symptomatic cancer. There algorithms that played a critical role diseases. This paper proposes an ML based approach prediction. For prediction, compared used proposed work, finally three classifiers...

10.1155/2022/9220560 article EN cc-by Advances in Human-Computer Interaction 2022-09-19

The Diabetes-Mellitus (DM) disease is considered a persistent ailment that triggered by excessive sugar levels in the blood of person. It gives rise to severe health complications when left untreated and can also give related diseases such as cardiac attack, nervous damage, foot problems, liver kidney eye problems. These problems are caused series factors interrelated one another age, gender, family history, BMI, Blood Glucose. Various Machine-Learning (ML) algorithms being used order...

10.1155/2022/7899364 article EN cc-by Applied Computational Intelligence and Soft Computing 2022-12-30

A method for establishing the identity of an individual is essential in all transactions whether they are commercial or personal.The ability to establish with certainty can prevent fraud forgery.In midst electronic revolution, this remains a major concern ecommerce, telecommunications, healthcare, and security.In paper, we present novel biometric image watermarking using biorthogonal wavelet transform authentication recovered signature from data.In proposed approach offline signature, which...

10.5120/1547-1970 article EN International Journal of Computer Applications 2010-12-10

<p>With the intrusion of internet into lives every household and terabytes data being transmitted over on daily basis, protection content has become an extremely serious concern. Various measures methods are researched devised everyday to ensure digital media. To address this issue protection, paper proposes RGB image steganography based sixteen-pixel differencing with n-bit Least Significant Bit (LSB) substitution. The proposed technique provides higher embedding capacity without...

10.11591/ijece.v6i6.10792 article EN cc-by-nc International Journal of Electrical and Computer Engineering (IJECE) 2016-12-01

The lifting wavelet transform (LWT) is a recent approach to and singular value decomposition (SVD) valuable technique for robust digital watermarking. While LWT allows generating an infinite number of discrete biorthogonal wavelets starting from initial one, values (SV) allow us make changes in image without affecting the quality much. This paper presents which tries amalgamate features these two transforms achieve hybrid watermarking techniques. Certain performance metrics are used test...

10.1109/eit.2011.5978552 article EN IEEE International Conference on Electro Information Technology 2011-05-01

<p>With the intrusion of internet into lives every household and terabytes data being transmitted over on daily basis, protection content has become an extremely serious concern. Various measures methods are researched devised everyday to ensure digital media. To address this issue protection, paper proposes RGB image steganography based sixteen-pixel differencing with n-bit Least Significant Bit (LSB) substitution. The proposed technique provides higher embedding capacity without...

10.11591/ijece.v6i6.pp2735-2741 article EN cc-by-nc International Journal of Electrical and Computer Engineering (IJECE) 2016-12-01

The aim of this paper is to secure the digital code a watermark (which an offline handwritten signature) by using characteristics DNA. watermarked image embedded into as binary information and further encrypted DNA sequences these (after being grouped tri - nucleotide called codons) then attached particular proteins or amino acids enhance redundancy our secret data. Similarly during decryption coded data converted base conversion used reform hidden

10.1109/iciip.2011.6108981 article EN 2011-11-01

The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, Intelligent Traffic Systems (ITS), presenting significant research opportunities. 2024 edition featured five tracks, attracting unprecedented interest from 726 teams 47 countries regions. Track 1 dealt with multi-target multi-camera (MTMC) people tracking, highlighting enhancements camera count, character number, 3D annotation, matrices, alongside...

10.48550/arxiv.2404.09432 preprint EN arXiv (Cornell University) 2024-04-14

The known peculiar type of cancer is melanoma. It arises as pigment and hard to find in the initial stages. persistence level 99% when identified early stage. Classification identification malignant tumors skin lesions are crucial. main goal sort lesion images seven important classes identify cancerous non-cancerous at earliest using deep learning techniques. efficient way for outcomes use a large volume high-quality training dataset. Existing datasets effectively not sufficient model....

10.1109/icict55905.2022.00020 article EN 2022-03-01

Mixing or combining different elements for getting enhanced version, is practiced across various areas in real life. Pan-sharpening a similar technique used the digital world; process to combine two images into fused image that comprises more detailed information. Images referred herein are Panchromatic (PAN) and Multispectral (MS) images. This paper presents pansharpening algorithm which integrates multispectral panchromatic generate an improved image. merges Discrete wavelet transform (WT)...

10.11591/ijece.v9i1.pp255-263 article EN International Journal of Electrical and Computer Engineering (IJECE) 2019-02-01

Aesthetics is defined by the properties of arts and beauty, thus making it a very subjective domain. In our day to lives, with increase multimedia requirements, aesthetic appeal images videos has gained much importance in varied fields like advertising, film making, User-Interface design, social networking etc. Visual attributes greatly affect sense viewers. this paper, start with, we dive into details low level, middle level high image that contribute towards images. Videos share their...

10.1109/ibssc47189.2019.8973218 article EN 2021 IEEE Bombay Section Signature Conference (IBSSC) 2019-07-01
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