A5086335335- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Handwritten Text Recognition Techniques
- Microbial infections and disease research
- Natural Language Processing Techniques
- Topic Modeling
- User Authentication and Security Systems
- Biometric Identification and Security
- Digital Mental Health Interventions
- Child Nutrition and Water Access
- Innovative Human-Technology Interaction
- Iron Metabolism and Disorders
- Advanced Authentication Protocols Security
- Diverse Scientific Research Studies
- Infant Nutrition and Health
- Face recognition and analysis
- Digital Media Forensic Detection
- Child Nutrition and Feeding Issues
- Digital and Cyber Forensics
Jamia Millia Islamia
2020-2023
All India Institute of Medical Sciences
2022
Career Institute Of Medical & Dental Sciences and Hospital
2022
Institute of Medical Sciences
2022
Era's Lucknow Medical College and Hospital
2018
This article presents SVC-onGoing1, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of art in open common platform using large-scale public databases, such as DeepSignDB2 and SVC2021_EvalDB3, standard experimental protocols. SVC-onGoing is based on ICDAR 2021 Competition On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. The goal evaluate limits popular scenarios...
This paper describes the experimental framework and results of IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim MobileB2C is bench-marking mobile user authentication systems based on behavioral biometric traits transparently acquired by devices during ordinary Human-Computer Interaction (HCI), using a novel public database, BehavePassDB <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>...
BackgroundA child's entire life is determined in large measures by the food given to him during his first five years. Their nutritional status a sensitive indicator of community health and nutrition. Undernutrition among them one greatest public problems India.Materials methodThis based cross-sectional study was carried out urban rural areas Lucknow, Uttar Pradesh. Multistage random sampling technique used select 420 children 1–5 years age group from areas. Door door survey done collect data...
With the ubiquity of smartphones, need for foolproof authentication mechanisms that support 'authentication on go' and remote is rise. Signature being most sophisticated method, this paper explores idea designing signature based robust method combined with smartphone sensor features. We used our already created enabled biometric database iSignDB which has recorded images signatures along associated readings while signing touchscreen smartphone. Additionally, we considered six statistical...
Background: Nutritional anemia is worldwide problem with highest prevalence in developing countries. Causes of are inadequate intake and poor absorption iron, malaria, hookworm infestation, diarrhea, heavy menstrual blood flow etc. It involves population all age group sex. But adolescent more vulnerable to it. The objective the study was find amongst adolescents attending rural health training Centre Era’s Lucknow Medical College Hospital.Methods: This cross-sectional carried out Rural...
The signature has long been in use for the user verification. These signatures have specific features that differentiate individual authentication. verification can be offline or online. considers only static of through image, while online various dynamic associated with such as pen pressure, tilt angle, velocity, acceleration, up and down, etc at time stamps which are recorded using special digitizing tablets Wacom devices (STU-500, STU-530 DTU-1031) [1,14] etc. In todays scenario,...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
Biometrics are being extensively used in person authentication; while spoofing is by the imposters to crack into biometric systems. The paper deals with fingerprint image classification two classes viz. fake or genuine using Convolutional Neural Network (CNN) on ATVS-FFP dataset of images 17 users. divided parts named as DS_WithCooperation and DS_WithoutCooperation, both contain original images. These differ respect acquisition which was done without consent Thus, latter part were low...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
This paper describes the experimental framework and results of IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim MobileB2C is benchmarking mobile user authentication systems based on behavioral biometric traits transparently acquired by devices during ordinary Human-Computer Interaction (HCI), using a novel public database, BehavePassDB, standard protocol. competition divided into four tasks corresponding to typical activities: keystroke, text reading, gallery swiping,...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p> <p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment robust machine learning model which accepts raw clinical sequences i.e. SRA data in fast/fq format, classifies it into 8 classes <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u>...
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of art in open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, standard experimental protocols. SVC-onGoing is based on ICDAR 2021 Competition On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. The goal evaluate limits popular scenarios...
This paper describes the experimental framework and results of ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal SVC is to evaluate limits on-line signature verification systems popular scenarios (office/mobile) writing inputs (stylus/finger) through large-scale public databases. Three different tasks are considered in competition, simulating realistic as both random skilled forgeries simultaneously each task. obtained prove high potential deep learning methods....