Anmol Singh

ORCID: 0009-0007-3488-208X
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Research Areas
  • Advanced Neural Network Applications
  • Advanced Malware Detection Techniques
  • Robotics and Sensor-Based Localization
  • Precipitation Measurement and Analysis
  • Machine Learning and ELM
  • Artificial Intelligence in Games
  • Low-power high-performance VLSI design
  • Energy Load and Power Forecasting
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Visual perception and processing mechanisms
  • Complex Network Analysis Techniques
  • Nanofluid Flow and Heat Transfer
  • Advanced Text Analysis Techniques
  • Diverse Scientific Research Studies
  • VLSI and Analog Circuit Testing
  • COVID-19 epidemiological studies
  • Anomaly Detection Techniques and Applications
  • Microbial Metabolic Engineering and Bioproduction
  • Human Pose and Action Recognition
  • Sentiment Analysis and Opinion Mining
  • COVID-19 diagnosis using AI
  • CCD and CMOS Imaging Sensors
  • Adversarial Robustness in Machine Learning
  • Stock Market Forecasting Methods
  • Solar Thermal and Photovoltaic Systems

Indian Institute of Technology Kanpur
2025

University of Idaho
2024

Institute of Medical Sciences
2023

Indira Gandhi Delhi Technical University for Women
2023

Medanta The Medicity
2023

St. Stephen’s Hospital
2023

Indira Gandhi Institute of Technology
2023

Dr. Hari Singh Gour University
2023

Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital
2023

All India Institute of Medical Sciences Jodhpur
2023

Qulu Zheng Forrest K. Jones Sarah V. Leavitt Lawson Ung Alain Labrique and 95 more David H. Peters Elizabeth C. Lee Andrew S. Azman Binita Adhikari Brian Wahl Chloé Sarnowski Daniel A. Antiporta Daniel J. Erchick Javier Perez‐Saez Joseph Ssekasanvu Kyu Han Lee Laura White Natalya Kostandova Neia Prata Menezes Nicholas Albaugh Nidhi Gupta Safia S Jiwani Sonia T. Hegde Swati Srivastava Tricia Aung Yijing Zhang Giulia Norton Arnav Kalra Ashank Khaitan Dyuti Shah Japnoor Kaur Keerthana Kasi Lajjaben Patel Lovedeep S Dhingra Mudit Agarwal Sanil Garg Utkarsh Goel Vikram Jeet Singh Gill Erum Khan Alina Patwari Pegah Khaloo Deepa Joshi Emily Blagg Emma Pence Holly K Nelson Jing Fan Lauren Miller Forbes Meredith Schlussel Semra Etyemez Shanshan Song Udit Mohan Yi Sun Sunyoung Jang Nicole Frumento Ananyaa Sivakumar Anna-Maria Hartner Vedika Karandikar Ziao Yan Evan R. Beiter Julia Song Leia Wedlund Miriam R. Singer Rifat Rahman Zain M. Virk Arjan Abar Bruce Tiu Tyler Adamson Kiran Paudel Honghui Yao Yinuo Wang E Rosalie Li-Rodenborn Ípek Özdemir Martha-Grace McLean Susan M Rattigan Brooke A. Borgert C Moreno Nicole Quigley Chengchen Li Nimran Kaur Catherine Gimbrone Sarah Elizabeth Scales Julio C Zuniga-Moya Peter Ahabwe Babigumira Chibueze C. Igwe H. Echo Wang Leon L. Hsieh Stuti L. Misra Kelly Bruton Danalyn Byng Monica Miranda‐Schaeubinger Mohammad Nasir Uddin John R. Ticehurst Emaline Laney Abhimanyu Bhadauria Vidushi Gupta María Clara Sellés Akash Kartik Anmol Singh Divya Garg Jasmine Saini

The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national local governments, including border restrictions, school closures, mandatory facemask use stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making response current future pandemics. In order estimate interventions, detailed descriptions their timelines, scale scope are needed. Health Intervention Tracking for...

10.1038/s41597-020-00610-2 article EN cc-by Scientific Data 2020-08-27

We present AnaCoNGA, an analytical co-design methodology, which enables two genetic algorithms to evaluate the fitness of design decisions on layer-wise quantization a neural network and hardware (HW) resource allocation. embed architecture search (HAS) algorithm into strategy (QSS) Pareto-front each considered strategy. harness speed flexibility HW-modeling enable parallel HW-CNN co-design. With this approach, QSS is focused seeking high-accuracy strategies are guaranteed have efficient...

10.23919/date54114.2022.9774574 article EN Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 2022-03-14

In an agricultural country like India, the success or failure of harvest is highly dependent on rainfall pattern country. India's agriculture production its precipitation behavior monsoon rainfall. Monsoon main source water in India. Average prediction a prime important factor for crop planning. Many studies have shown direct influence rainwater crops. This research has conducted study Indian states using machine learning techniques and algorithms, which utilizes government provided data...

10.1109/compe49325.2020.9200091 article EN 2021 International Conference on Computational Performance Evaluation (ComPE) 2020-07-01

Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model's size and its robustness against attacks. Both need to be addressed even-handedly. We combine adversarial training model pruning a joint formulation the fundamental learning objective during training. Unlike existing post-train approaches, our method does not use heuristics eliminates pre-trained model. This allows classifier robust...

10.1109/cvprw53098.2021.00016 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021-06-01

Deep neural networks provide high accuracy for perception. However they require computational power. In particular, LiDAR-based object detection delivers good and real-time performance, but demands computation due to expensive feature-extraction from point cloud data in the encoder backbone networks. We investigate model complexity versus trade-off using reinforcement learning based pruning PointPillars, a recent 3D network. evaluate on validation dataset of KITTI (80/20-splits) according...

10.1109/ivworkshops54471.2021.9669256 article EN 2021-07-11

In this paper, we study the effect of instructional priming on postural responses to virtual crowds using a headset-based reality (VR) platform. Specifically, instruct VR participants that one agents in simulated crowd represents movement real person, and reinforce instruction by having single role player present experimental arena. Our results show while who were primed did not move significantly more when three-dimensional was considered, they exhibit direction perpendicular flow...

10.1109/vhcie.2017.7935622 article EN 2017-03-01

Chronic mania is a mental health disorder that has been described by various psychiatrists in the past but currently not part of nosology. Robust epidemiological data for chronic are lacking with regard to its prevalence and clinical features. The present case report 48-year-old male six-year history mood psychotic symptoms, based on which differential diagnoses schizoaffective (manic type), schizophrenia, symptoms (with course) were made. diagnosis was confirmed considering predominance...

10.7759/cureus.38703 article EN Cureus 2023-05-08

RISC-V, an open-source Instruction Set Architecture, originated from the collaborative efforts of researchers at University California, Berkeley, in 2010. It is a basic Load and Store type architecture based on traditional principles RISC whilst providing flexibility terms extensions to base Integer such as multiply, floating point atomic instructions. This paper details Design Implementation 5 stages pipelined RV32IM (base integer set with multiply extension). The design also incorporates...

10.14445/23942584/ijvsp-v10i2p103 article EN International Journal of VLSI & Signal Processing 2023-06-30

Background: Fragrances are the collection of unlike functional assemblies, most likely alcohols, esters, aldehydes, ketones, and acids in organic products/hydrocarbons. Short-chain aliphatic fragrance esters have immense applications as flavors food, pharmaceutical cosmetic industries also remarkable commercial significance cosmetics personal care products like perfumes, face creams, shampoos, soaps, lotions, jams, jellies, etc. Objective: This study aimed to synthesize short-chain using a...

10.2174/1570180820666230222145117 article EN Letters in Drug Design & Discovery 2023-02-23

It's been about a half year since there's word that's spread throughout the globe faster than wildfires, and it's not only most talked-about topic, but also feared; yes, "crown." Hearing itself strikes dread in all individuals around world. So what is this crown or COVID-19 truly? Coronavirus an irresistible sickness brought by newfound strain of Covid, SARS-CoV-2. Covid was accounted for from china late December early January province Wuhan China. found absolute punctual known cases...

10.9734/jpri/2021/v33i60a34557 article EN Journal of Pharmaceutical Research International 2021-12-20
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