Krishna Pratap Singh

ORCID: 0000-0003-3347-8521
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Multi-Objective Optimization Algorithms
  • Domain Adaptation and Few-Shot Learning
  • Metaheuristic Optimization Algorithms Research
  • Privacy-Preserving Technologies in Data
  • Handwritten Text Recognition Techniques
  • Soil Mechanics and Vehicle Dynamics
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Machine Learning and ELM
  • Optimization and Mathematical Programming
  • Neural Networks and Applications
  • Indoor and Outdoor Localization Technologies
  • Natural Language Processing Techniques
  • Soil Management and Crop Yield
  • Underwater Vehicles and Communication Systems
  • Evolutionary Algorithms and Applications
  • Remote-Sensing Image Classification
  • Machine Learning and Data Classification
  • Energy Efficient Wireless Sensor Networks
  • Multi-Criteria Decision Making
  • Flame retardant materials and properties
  • Robotics and Sensor-Based Localization
  • Internet Traffic Analysis and Secure E-voting
  • Generative Adversarial Networks and Image Synthesis
  • Text and Document Classification Technologies

National Institute of Technology Patna
2024-2025

Indian Council of Agricultural Research
2024-2025

Indian Institute of Information Technology Allahabad
2015-2024

Central Institute of Agricultural Engineering
2022-2024

SRM Institute of Science and Technology
2021-2022

Sri Sri University
2021

Defence Materials and Stores Research and Development Establishment
2018-2021

Ramakrishna Mission Vidyamandira
2020

Gautam Buddha University
2017-2019

Delhi Technological University
2017

Abstract To simulate the bending behaviour of paddy straw at varied moisture contents after crop harvesting, we created a flexible specimen model based on Hertz–Mindlin with parallel contact bonding using discrete element (DEM) approach. The research presented in this study aims to investigate new approach called Definitive Screening Design (DSD) for parameterizing and screening most significant parameters DEM model. This investigation will specifically focus three-point test as means...

10.1038/s41598-024-52388-7 article EN cc-by Scientific Reports 2024-01-23

Introduction Around 9% of India’s children under six are diagnosed with neurodevelopmental disorders. Low-resource, rural communities often lack programmes for early identification and intervention. The Prechtl General Movement Assessment (GMA) is regarded as the best clinical tool to predict cerebral palsy in infants <5 months. In addition, developmental delay, intellectual disabilities, late detected genetic disorders or autism spectrum disorder show abnormal general movements (GMs)...

10.1136/bmjopen-2020-037335 article EN cc-by BMJ Open 2020-11-01

Pneumatic planters are widely adopted in precision agriculture due to their superior field performance and minimal seed damage. However, variations size, shape, orientation can affect the ability of each orifice pick release a single accurately. Seed metering units typically incorporate cut-off knock-out devices improve singulation ensure timely dropping, enhancing quality feed index reducing index. These auxiliary devices—whether mechanical, electronic, pneumatic, or magnetic—increase...

10.1007/s42452-024-06275-5 article EN cc-by-nc-nd Deleted Journal 2024-11-12

The growing demand for agricultural output and limited resources encourage precision applications to generate higher-order by utilizing minimal inputs of seed, fertilizer, land, water. An electronically operated planter was developed, considering problems like ground-wheel skidding, field vibration, the lack ease in adjustments ground-wheel-driven seed-metering plates. plate each unit developed is individually driven a brushless direct current (BLDC) motor, BLDC motor-based aspirator...

10.3390/s24113399 article EN cc-by Sensors 2024-05-25

Signature biometrics is a widely accepted and used modality to verify the identity of an individual in many legal financial organisations. A writer language-independent signature identification method that can distinguish between genuine forged sample irrespective language has been proposed. To extract distinguishing features, pre-trained model GoogLeNet, which fine-tuned with largest dataset present till date (GPDS Synthetic), used. The proposed tested over BHSig260 (contains images from...

10.1049/bme2.12007 article EN cc-by IET Biometrics 2021-02-07
Coming Soon ...