Search Results - "Kumar, Neerendra"

A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system.

Authors: Verma, Narinder Kumar, Neerendra Singh, Kuljeet et al.

Source: Applied Artificial Intelligence; Dec2025, Vol. 39 Issue 1, p1-20, 20p

A systematic review on cybersecurity of robotic systems: vulnerabilities trends, threats, attacks, challenges, and proposed framework.

Authors: Verma, Narinder Kumar, Neerendra Verma, Chaman et al.

Source: International Journal of Information Security; Jun2025, Vol. 24 Issue 3, p1-37, 37p

Optimized Intrusion Detection Approach for Cyber‐Physical System Using Meta‐Learning With Stacked Generalization: An Ensemble Learning Inspired Approach.

Authors: Ji, Ram Kumar, Neerendra Padha, Devanand

Source: Security & Privacy. May/Jun2025, Vol. 8 Issue 3, p1-18. 18p.

QFTN: A Quantum‐Inspired Federated Trust Negotiation Framework for Secure Data Exchange in IoRT.

Authors: Koul, Neha Kumar, Neerendra Ji, Ram et al.

Source: Security & Privacy. Mar/Apr2026, Vol. 9 Issue 2, p1-14. 14p.

A real-time intelligent intrusion detection framework for robotic system cybersecurity.

Authors: Verma, Narinder Kumar, Neerendra Almuzaini, Khalid K. et al.

Source: Peer-to-Peer Networking & Applications; Feb2026, Vol. 19 Issue 1, p1-19, 19p

LSFRS: a lightweight framework for efficient and secure communication in IoT-based robotic surveillance.

Authors: Verma, Narinder Kumar, Neerendra Verma, Chaman et al.

Source: Cluster Computing; 2025, Vol. 28 Issue 11, p1-19, 19p

Robot navigation in unknown environment with obstacle recognition using laser sensor.

Authors: Kumar, Neerendra Vámossy, Zoltán

Source: International Journal of Electrical & Computer Engineering (2088-8708); Jun2019, Vol. 9 Issue 3, p1773-1779, 7p

Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review.

Authors: Mushtaq, Sumiya Kumar, Neerendra Singh, Yashwant et al.

Source: International Journal on Artificial Intelligence Tools. Mar2023, Vol. 32 Issue 2, p1-48. 48p.

Subjects: Machine learning, Personality assessment, Helping behavior, Personality

Cascading Bagging and Boosting Ensemble Methods for Intrusion Detection in Cyber‐Physical Systems.

Authors: Ji, Ram Selwal, Arvind Kumar, Neerendra et al.

Source: Security & Privacy. Jan/Feb2025, Vol. 8 Issue 1, p1-11. 11p.

Image Geo-Site Estimation Using Convolutional Auto-Encoder and Multi-Label Support Vector Machine.

Authors: Jain, Arpit Verma, Chaman Kumar, Neerendra et al.

Source: Information. Jan2023, Vol. 14 Issue 1, p29. 13p.

Resiliency and Nonlinearity Profiles of Some Cryptographic Functions.

Authors: Singh, Deep Paul, Amit Kumar, Neerendra et al.

Source: Mathematics (2227-7390). Dec2022, Vol. 10 Issue 23, p4473. 16p.

Approaches and Challenges in Internet of Robotic Things.

Authors: Sayeed, Aqsa Verma, Chaman Kumar, Neerendra et al.

Source: Future Internet. Sep2022, Vol. 14 Issue 9, p265-265. 30p.

Neoteric Trends of Unmanned Aerial Vehicle (UAV) Research: A Scientometric Analysis.

Authors: Kumar, Ajay Chopra, Mayank Singh, Yashwant et al.

Source: Journal of Scientometric Research. Jan-Apr2023, Vol. 12 Issue 1, p98-113. 16p.

Cryptanalysis and Improved Image Encryption Scheme Using Elliptic Curve and Affine Hill Cipher.

Authors: Lone, Parveiz Nazir Singh, Deep Stoffová, Veronika et al.

Source: Mathematics (2227-7390). Oct2022, Vol. 10 Issue 20, p3878-N.PAG. 18p.

A novel 3-D image encryption algorithm based on SHA-256 and chaos theory.

Authors: Singh, Deep Kaur, Harpreet Verma, Chaman et al.

Source: Alexandria Engineering Journal. May2025, Vol. 122, p564-577. 14p.

Subjects: Three-dimensional imaging, Image encryption, Matrix functions, Statistics, Integers

Correction: Mushtaq et al. Super Resolution for Noisy Images Using Convolutional Neural Networks. Mathematics 2022, 10 , 777.

Authors: Mushtaq, Zaid Bin Nasti, Shoaib Mohd Verma, Chaman et al.

Source: Mathematics (2227-7390). Jul2023, Vol. 11 Issue 13, p2968. 1p.

Super Resolution for Noisy Images Using Convolutional Neural Networks.

Authors: Mushtaq, Zaid Bin Nasti, Shoaib Mohd Verma, Chaman et al.

Source: Mathematics (2227-7390). Mar2022, Vol. 10 Issue 5, p777. 1p.