Gaurav Singal

Scopus Publications

IoT Network Device Classification Using Traffic Log by Applying Machine Learning Techniques
Gaurav Singal, Mamta Rawat, Rakesh Kumar, Riti Kushwaha
IEEE Internet of Things Journal, 2026
Network security challenges of the Internet of Things (IoT) appliances from a variety of suppliers used in wide areas, are rising quickly. Thus, the maintenance of these devices are extremely crucial to internet providers. However, it is important that devices are routinely tested for their smooth execution and for diagnostic security threats. But there are very few public datasets available with a large variety of devices for analysis of the behaviour of these devices. In this paper, we overcome these problems through the development of an effective dataset of IoT traffic aimed at enabling accurate IoT device identification and behaviour analysis. First, we built a smart environment with 24 diverse IoT devices and captured network traffic traces from this smart framework for 6 months duration. Secondly, we process traffic traces to extract packet-level features and flow-level features for the testing of our captured traffic traces. Third, we developed various frameworks for the security of smart environment automation by detection of IoT devices using ML as well as DL technologies. Lastly, we analysed the accuracy, significance, and flexibility of every machine learning and deep learning technique in offline mode as well as real-time mode. Our research opens up the opportunity for IoT accessibility, flexibility, and network security management in intelligent contexts without specialized devices or standards.
Clustering Irregular Data Streams With Fuzzy Induction
Jerry W. Sangma, Vipin Pal, Yogita Yogita, Gaurav Singal, Swagatam Das
IEEE Transactions on Emerging Topics in Computational Intelligence, 2026
The inherent characteristics of data streams necessitate adherence to certain conditions, such as processing data within a single scan due to limitations in space and time, and effectively managing concept evolutions. Clustering algorithms, which have seen various developments over the years for processing fast-paced data streams, have been a popular choice when extracting information from unlabeled data streams. A common assumption among existing data stream clustering algorithms is that such methods require access to uninterrupted data streams from sources (electronic devices), which may not always hold true as devices are subject to malfunctions. As and when these assumptions are violated, existing methods fail to resolve the issues adequately. To address this limitation, a clustering-by-variable method named Clustering Irregular Data Streams (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CIDS</i>) has been introduced, focusing on building a robust method capable of addressing irregularities within data streams. These irregularities are handled through fuzzy induction or dissipation in response to changes in the data stream's status quo. Concept evolutions are accommodated within the clustering structure through merge and split operations, guided by statistically significant confirmations. The proposed method's quality and effectiveness have been evaluated against existing approaches using synthetic and real-world datasets. Experimental results demonstrate a high degree of flexibility in handling irregularities and achieving high-quality clustering of data streams.
A distributed classification and prediction model using federated learning in healthcare
Geetanjali Rathee, Aparna Singh, Gaurav Singal, Abhinav Tomar
Knowledge and Information Systems, 2025
Surveying Technology Fusion in IoT Networks for IDS: Exploring Datasets, Tools, Challenges, and Research Prospects
Mamta Rawat, Gaurav Singal
ACM Transactions on Intelligent Systems and Technology, 2025
The Internet of Things is quickly taking over the world. Nevertheless, security for the IoT is becoming a more important academic topic and commercial concern because of several factors including the diverse nature of devices, protocols in use, the sensitivity of the data they carry, and security and privacy concerns. Admitting this, there appears to be a compelling need for a comprehensive survey that encompasses the entire spectrum of intrusion detection in the IoT paradigm, from foundational concepts like types of IDS, resources, and techniques for implementing IDS, to the latest technologies that can be used to enhance the performance of IDS. This study will be helpful for academic and industrial research in different ways: first, in identifying type of IDS to be used; second, in choosing various tools such as datasets and sniffing tools, and learning techniques for implementing IDS; and finally, it suggests the use of latest enabling technologies in the IoT setting to make the process of intrusion detection more secure, efficient, trustworthy, and privacy aware. We have also discussed critical challenges and research directions to help young researchers advance in their research projects.
Pseudonym shuffling-driven blockchain and Autoencoder-based secure E-healthcare data management
Tanuj Chandela, Ayush Verma, Geetanjali Rathee, Abhinav Tomar, Gaurav Singal
International Journal of Information Security, 2025
Towards White-Box IDS: Integrating Explainability in LoT Ecosystems
Tulika Tewari, Gaurav Singal
Proceedings of the National Conference on Communications Ncc, 2025
Explainable AI (XAI) has recently garnered sig-nificant traction from researchers. Integrating XAI with state-of-the-art machine/deep learning models increases the trans-parency and interpretability of the decision models' inner workings. However, XAI's applicability still needs to be explored in the field of network security for the loT ecosystem. Past research has extensively focused on building robust intrusion detection systems for loT networks. However, little attention has been paid to the interpretation and how MLIDL models make predictions. Thus, a white-box AI model is required to increase trustability. By integrating XAI, we aim to collect significant information on how different features contribute to predictions and provide a more trusted and transparent system. This, in turn, not only helps us in feature selection but also offers hidden insights into how the classifier performs, thus enabling network analysts to make decisions accordingly. Using the CICloT2023 dataset, this research proposes a hybrid DL model using CNN and BiLSTM that uses XAI techniques, SHAP and LIME to make our IDS more transparent and trustworthy. Using SHAP as part of the feature selection, we increased our model's accuracy by 4 %. We further analyzed our model's efficiency on several performance metrics like recall, precision, ROC curve, and confusion matrix. We subsequently incorporated LIME for local explanations to understand how each attack instance is being predicted.
Hierarchical Federated Learning based Architecture for IDS in IoMT Network
Animesh Malviya, Gaurav Singal
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2025
An IoT is a collection of devices that communicating and exchanging data over a network. The rapid growth of IoT networks enabled billions of devices around the world to connect and communicate with each other in a network and has been used in various private and government organizations. While this is helpful, it also exposes the said devices to various threats such as Ransomware, Denial of Service, Advanced Persistent Threat. To counteract these threats, a commonly used technique in machine learning models is anomaly detection. Anomaly detection techniques have been used for over a decade to detect and handle anomalies in the data. In this paper, we propose a machine learning model for anomaly detection, which will be added after some understanding of the model. In this study, we compare three distinct techniques for extracting features: Principal Component Analysis, Deep Belief Networks, and Autoencoders. After abstracting these features, a central server aggregates them so that a suite of powerful ensemble classifiers can be trained, including XGBoost, LightGBM, CatBoost, and Random Forest. This study analyses the trade-offs between classification accuracy, computational time, and communication cost using the modern and domain-specific CIC-IoMT 2024 dataset. Non-linear feature extraction methods are shown to be superior in the study, and an optimal pipeline is identified that achieves high predictive accuracy while maintaining data privacy and system efficiency. Delivering useful insights into the practical implementation of next-generation information systems in secure healthcare environments.
CykVest: An NRF-enabled Vest with Accelerometer and GPS Sensors
Riti Kushwaha, Gaurav Singal
2025 17th International Conference on Contemporary Computing Ic3 2025, 2025
The increasing number of accidents involving cyclists on the road is a major concern in the modern world. Poor lighting conditions during the night are one of the major reasons behind such accidents. This research paper presents a solution to this problem by developing a wearable vest that can be adjusted according to the convenience of the cyclist. The vest will contain indicator that can be turned on while taking turns. In addition to that, an accelerometer will be attached to the bike to detect a strong impulse of an accident. Whenever the magnitude of the impact is higher than a threshold value, it will send the location of the accident using the GPS module embedded in the vest. The proposed solution aims to enhance the safety of cyclist s on the road and reduce the number of accidents caused by poor lighting conditions. By the market there is no device at cheap rate to promote cycle fitness by telling the number of calories burnt by the distance travelled.
Federated Learning with Differential Privacy in IoT Intrusion Detection
Mamta Rawat, Gaurav Singal
2025 IEEE 3rd Global Conference on Wireless Computing and Networking Gcwcn 2025, 2025
The significant rise in the deployment of IoT devices has led to the expansion of the attack surface for attackers, making intrusion detection a critical part of IoT security. However, using traditional centralized IDS approaches lacks data privacy, scalability and incurs higher communication overhead, especially in resource-constrained environments. This paper proposes a privacy-aware intrusion detection framework using FL along with Differential Privacy (DP) to train a model without sharing raw data. We have used a benchmark dataset to evaluate the effect of privacy mechanisms on model accuracy. Results obtained demonstrate that the proposed approach achieves competitive detection performance while safeguarding sensitive data, making it suitable for deployment in distributed IoT networks. Finally, we discuss the trade-offs between privacy and accuracy, highlighting potential directions for future work in secure and scalable intrusion detection.
A Reliable Communication and Computational Mechanism for Governing the Healthcare Data Processing
Geetanjali Rathee, Gaurav Singal, Abhinav Tomar
Lecture Notes in Networks and Systems, 2025
AIoT Agri-Farming and Web-based wildlife Security System
Riti Kushwaha, Gaurav Singal, Geetanjali
2025 17th International Conference on Contemporary Computing Ic3 2025, 2025
Transforming Healthcare: Mode, Technologies, and Implementation
Ankush Jain, Vishal Srivastava, Gaurav Singal, Mohamed Mosbah
Transforming Healthcare Mode Technologies and Implementation, 2025
Catalysing assistive solutions by deploying light-weight deep learning model on edge devices
Kanak Manjari, Madhushi Verma, Gaurav Singal, Vinay Chamola
Journal of Experimental and Theoretical Artificial Intelligence, 2025
Enhanced Brain Tumor Detection Using CNN and xAI: A Pipeline for Interpretability
Pulkit Batra, Kumar Lakshya, Gaurav Singal, Riti Kushwaha
2025 17th International Conference on Contemporary Computing Ic3 2025, 2025
Investigating the Effects of Social Media on Mental Health
Shivanshi Garg, Aashi Garg, Riti Khushwaha, Gaurav Singal
1st International Conference on Advances in Computer Science Electrical Electronics and Communication Technologies Ce2ct 2025, 2025
Blockchain based P2P energy trading platform
Prajjwal Joshi, Prateek Gupta, Farhan Khan, Gaurav Singal, Riti Kushwaha
5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025
Hazardous Object Detection for Visually Impaired People Using Edge Device
Ujjwal Kadam, Riti Kushwaha, Arvind Meena, Chaudhary Abuzar, Ujjwal, Gaurav Singal, Madhushi Verma
SN Computer Science, 2025
RETRACTION: Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction(Expert Systems, 10.1111/exsy.13359)
Expert Systems, 2024
RETRACTED: Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction (Expert Systems, (2024), 41, (e13359))
Vaishali Baviskar, Madhushi Verma, Pradeep Chatterjee, Gaurav Singal, Thippa Reddy Gadekallu
Expert Systems, 2024
Towards Intelligent Decision Making for Charging Scheduling in Rechargeable Wireless Sensor Networks
Abhinav Tomar, Raj Anwit, Piyush Nawnath Raut, Gaurav Singal
Journal of Network and Systems Management, 2024
DDoS attack traffic classification in SDN using deep learning
Nisha Ahuja, Debajyoti Mukhopadhyay, Gaurav Singal
Personal and Ubiquitous Computing, 2024
A New QoS Optimization in IoT-Smart Agriculture Using Rapid-Adaption-Based Nature-Inspired Approach
Shailendra Pratap Singh, Gaurav Dhiman, Sapna Juneja, Wattana Viriyasitavat, Gaurav Singal, Neeraj Kumar, Prashant Johri
IEEE Internet of Things Journal, 2024
Rediscovering Minutiae Matching Through One Shot Learning's Siamese Framework in Poor Quality Footprint Images
Riti Kushwaha, Gaurav Singal, Neeta Nain
IEEE Transactions on Biometrics Behavior and Identity Science, 2024
Lightweight Intrusion Detection System for IoT Environment through Compression Techniques
Tulika Tewari, Mamta Rawat, Animesh Malviya, Gaurav Singal
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2024
The Internet of Trust: Securing and Transparent Supply Chains with Blockchain and IoT
Gaurav Singal, Riti Kushwaha, Ashish Sharma, Tulika Tewari
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2024
A Solar Power-Enabled and LoRa-Based Smart Irrigation and Monitoring System
Abhishek Jha, Kartik Goyal, Nalin Semwal, Gaurav Singal, Abhinav Tomar
Lecture Notes in Networks and Systems, 2024
StockLens - Analysis and News Sentiment for Smart Investing
Avi Vaswani, Pravesh Gupta, Vijay Kumar Bohat, Abhinav Tomar, Gaurav Singal
2024 IEEE Region 10 Symposium Tensymp 2024, 2024
Ensemble-Based Botnet Attack Detection and Classification Using Machine Learning Algorithms on NBaIoT Dataset
Mamta Rawat, Avneet Singh Bedi, Balvinder Singh, Sneha Gupta, Gaurav Singal, Preeti Kaur
2024 IEEE Region 10 Symposium Tensymp 2024, 2024
HydroPro: An IoT-Based Smart Water Bottle
Aadi Nirbhavane, Riti Kushwaha, Gaurav Singal, Abhinav Tomar, Vipin Pal, Ankur Gupta
2024 IEEE Region 10 Symposium Tensymp 2024, 2024
Depression Detection by Using Wearable Sensors
Vishal Shrivastav, Giriraj, Sudhanshu Tiwari, Gaurav Singal, Riti Kushwaha, Tulika Tewari, Ankur Gupta
2024 IEEE Region 10 Symposium Tensymp 2024, 2024
Efficient Heart Disease Prediction Using Hybrid Deep Learning Classification Models
Vaishali Baviskar, Madhushi Verma, Pradeep Chatterjee, Gaurav Singal
Irbm, 2023
QC-SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble
Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan
IEEE Transactions on Neural Networks and Learning Systems, 2023
Aqua Clear: Efficient Water Management for home water supply
Shrey Rastogi, Shivam Sharma, Suraj Kumar, Gaurav Singal
ACM International Conference Proceeding Series, 2023
QEST: Quantized and Efficient Scene Text Detector Using Deep Learning
Kanak Manjari, Madhushi Verma, Gaurav Singal, Suyel Namasudra
ACM Transactions on Asian and Low Resource Language Information Processing, 2023
RoadWay: lane detection for autonomous driving vehicles via deep learning
Gaurav Singal, Himanshu Singhal, Riti Kushwaha, Venkataramana Veeramsetty, Tapas Badal, Sonu Lamba
Multimedia Tools and Applications, 2023
A Transfer Learning Based Approach for Human Foot Image Classification
Riti Kushwaha, Gaurav Singal, Neeta Nain
2023 4th International Conference on Computing and Communication Systems I3cs 2023, 2023
Towards Sustainable Economic Zones with UAV-assisted Real-time Energy Replenishment in Wireless Rechargeable Sensor Networks
Riya Goyal, Abhinav Tomar, Gaurav Singal
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2023
Structural analysis using MPU6050 gyroscope
Rhythm Narula, Pulkit Barwal, Gaurav Singal
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Path Texture Detection for Visually Impaired using Transfer Learning
Kanak Manjari, Animesh, Madhushi Verma, Gaurav Singal
Icsccc 2023 3rd International Conference on Secure Cyber Computing and Communications, 2023
Design of Energy Efficient IoT-Based Smart Street Light System
Pranav Chaudhary, Vishal Singh, Aayush Karjee, Gaurav Singal, Abhinav Tomar
Communications in Computer and Information Science, 2023
NayanCom - A Smart Patient Communication System
Aryaman Sharma, Harshit Gupta, Tabishi Singh, Gaurav Singal, Riti Kushwaha
Proceedings of 2023 26th Conference of the Oriental Cocosda International Committee for the Co Ordination and Standardization of Speech Databases and Assessment Techniques O Cocosda 2023, 2023
Jal Setu: Smart Water Tank for Homes and Public Places
Divyanshu Rao, Aryan Sharma, Hrishikesh Shah, Gaurav Singal, Riti Kushwaha, Vandana Bhatia
2023 4th International Conference on Computing and Communication Systems I3cs 2023, 2023
Currency Detection for Visually Impaired People using Edge Devices
Ujjwal Kadam, Arvind Meena, Chaudhary Abuzar, Ujjwal, Gaurav Singhal, Divya Srivastava
Proceedings of IEEE International Conference on Modelling Simulation and Intelligent Computing Mosicom 2023, 2023
Thresholding based Smart Home Automation System using K-means
Aakash Katiyar, Akash Singh, Mohammad Parvez, Nitin Rajora, Lokesh K Sharma, Gaurav Singal
Proceedings of the 13th International Conference on Cloud Computing Data Science and Engineering Confluence 2023, 2023
Enhancing Class Monitoring Through Video Analytics and Deep Learning Models
Riti Kushwaha, Himanshu Rawat, Suman Bando, Aman Kumar Dass, Lakshya Panwar, Divya Srivastava, Gaurav Singal
Proceedings of IEEE International Conference on Modelling Simulation and Intelligent Computing Mosicom 2023, 2023
Machine Learning approach to Predict net radiation over crop surfaces from global solar radiation and canopy temperature data
Saon Banerjee, Gaurav Singal, Sarathi Saha, Himanshu Mittal, Manu Srivastava, Asis Mukherjee, Sayak Mahato, Barnali Saikia, Sudipta Thakur, Suman Samanta, Riti Kushwaha, Deepak Garg
International Journal of Biometeorology, 2022
Fuzzy-MAC: An FIS based MAC protocol for a multi-constrained traffic in wireless body area networks
Kaushik Ray, Vipin Pal, Gaurav Singal, Soumen Moulik
Computer Communications, 2022
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation
Surbhi Gupta, Gaurav Singal, Deepak Garg, Swagatam Das
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022
PIN Inference Attack: A Threat to Mobile Security and Smartphone-Controlled Robots
Smita Naval, Akanksha Pandey, Shivam Gupta, Gaurav Singal, Vignesh Vinoba, Neeraj Kumar
IEEE Sensors Journal, 2022
De-Fence: LoRa based Hop-to-Hop Communication
Anav Chaudhary, Maanas Talwar, Avil Goel, Gaurav Singal, Riti Kushwaha
ACM International Conference Proceeding Series, 2022
A secure and lightweight anonymous mutual authentication scheme for wearable devices in Medical Internet of Things
Ankur Gupta, Meenakshi Tripathi, Samya Muhuri, Gaurav Singal, Neeraj Kumar
Journal of Information Security and Applications, 2022
QAOVDetect: A Novel Syllogistic Model with Quantized and Anchor Optimized Approach to Assist Visually Impaired for Animal Detection using 3D Vision
Kanak Manjari, Madhushi Verma, Gaurav Singal, Neeraj Kumar
Cognitive Computation, 2022
Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform
Ashish Sharma, Rahul Singh Tanwar, Yash Singh, Ajay Sharma, Shaktiraj Daudra, Gaurav Singal, Thippa Reddy Gadekallu, Sidharth Pancholi
Computers and Electrical Engineering, 2022
Edge device based Military Vehicle Detection and Classification from UAV
Priyanka Gupta, Bhavya Pareek, Gaurav Singal, D. Vijay Rao
Multimedia Tools and Applications, 2022
State of art on: Features extraction, recognition and detection of currency notes
Venkataramana Veeramsetty, Ram Deshmukh, Arjun Mohnot, Gaurav Singal
Aip Conference Proceedings, 2022
Ascertain the efficient machine learning approach to detect different ARP attacks
Nisha Ahuja, Gaurav Singal, Debajyoti Mukhopadhyay, Ajay Nehra
Computers and Electrical Engineering, 2022
Short-term electric power load forecasting using random forest and gated recurrent unit
Venkataramana Veeramsetty, K. Rajeshwar Reddy, M. Santhosh, Arjun Mohnot, Gaurav Singal
Electrical Engineering, 2022
QoS aware Mesh-based Multicast Routing Protocols in Edge Ad Hoc Networks: Concepts and Challenges
Gaurav Singal, Vijay Laxmi, Manoj Singh Gaur, D. Vijay Rao, Riti Kushwaha, Deepak Garg, Neeraj Kumar
ACM Transactions on Internet Technology, 2022
IoT Network Traffic Classification Using Machine Learning Algorithms: An Experimental Analysis
Rakesh Kumar, Mayank Swarnkar, Gaurav Singal, Neeraj Kumar
IEEE Internet of Things Journal, 2022
Data Breach in Social Networks Using Machine Learning
Monalisa Mahapatra, Naman Gupta, Riti Kushwaha, Gaurav Singal
Communications in Computer and Information Science, 2022
Recognition of Gurmukhi Handwritten City Names Using Deep Learning and Cloud Computing
Sandhya Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Gaurav Singal, Gaurav Dhiman, Sandeep Kautish
Scientific Programming, 2022
Deep Reinforcement Learning Techniques in Diversified Domains: A Survey
Surbhi Gupta, Gaurav Singal, Deepak Garg
Archives of Computational Methods in Engineering, 2021
AnimNet: An animal classification network using deep learning
Kanak Manjari, Kriti Singhal, Madhushi Verma, Gaurav Singal
Machine Learning Algorithms and Applications, 2021
Fake social media profile detection
Umita Deepak Joshi, Vanshika, Ajay Pratap Singh, Tushar Rajesh Pahuja, Smita Naval, Gaurav Singal
Machine Learning Algorithms and Applications, 2021
Automated DDOS attack detection in software defined networking
Nisha Ahuja, Gaurav Singal, Debajyoti Mukhopadhyay, Neeraj Kumar
Journal of Network and Computer Applications, 2021
Short term active power load prediction on A 33/11 kV substation using regression models
Venkataramana Veeramsetty, Arjun Mohnot, Gaurav Singal, Surender Reddy Salkuti
Energies, 2021
INTERVENOR: Intelligent Border Surveillance using Sensors and Drones
Manish K. Sharma, Gaurav Singal, Suneet K. Gupta, Basa Chandraneil, Saksham Agarwal, Deepak Garg, Debajyoti Mukhopadhyay
2021 6th International Conference for Convergence in Technology I2ct 2021, 2021
A texture feature based approach for person verification using footprint bio-metric
Riti Kushwaha, Gaurav Singal, Neeta Nain
Artificial Intelligence Review, 2021
DLSDN: Deep learning for DDOS attack detection in software defined networking
Nisha Ahuja, Gaurav Singal, Debajyoti Mukhopadhyay
Proceedings of the Confluence 2021 11th International Conference on Cloud Computing Data Science and Engineering, 2021
Maze Solving with humanoid robot NAO using Real-Time object detection
Alarsh Tiwari, Tapas Badal, Gaurav Singal
2021 International Conference on Computer Communication and Informatics Iccci 2021, 2021
Precise Control for Deep Driving using Dual Critic based DRL Approaches
Surbhi Gupta, Gaurav Singal, Deepak Garg
IEEE Intelligent Vehicles Symposium Proceedings, 2021
Leading Athlete Following UAV Using Transfer Learning Approach
Shanmukha Sai Sumanth Yenneti, Riti Kushwaha, Smita Naval, Gaurav Singal
Communications in Computer and Information Science, 2021
MaskNet: Detecting Different Kinds of Face Mask for Indian Ethnicity
Abhinav Gola, Sonia Panesar, Aradhna Sharma, Gayathri Ananthakrishnan, Gaurav Singal, Debajyoti Mukhopadhyay
Communications in Computer and Information Science, 2021
Surveillance System for Monitoring Social Distance
Sahil Jethani, Ekansh Jain, Irene Serah Thomas, Harshitha Pechetti, Bhavya Pareek, Priyanka Gupta, Venkataramana Veeramsetty, Gaurav Singal
Communications in Computer and Information Science, 2021
Corridor segmentation for automatic robot navigation in indoor environment using edge devices
Surbhi Gupta, Sangeeta R, Ravi Shankar Mishra, Gaurav Singal, Tapas Badal, Deepak Garg
Computer Networks, 2020
A survey on Assistive Technology for visually impaired
Kanak Manjari, Madhushi Verma, Gaurav Singal
Internet of Things Netherlands, 2020
Coinnet: platform independent application to recognize Indian currency notes using deep learning techniques
Venkataramana Veeramsetty, Gaurav Singal, Tapas Badal
Multimedia Tools and Applications, 2020
A smart hand for VI: Resource-constrained assistive technology for visually impaired
Kanak Manjari, Madhushi Verma, Gaurav Singal
Iot Based Data Analytics for the Healthcare Industry Techniques and Applications, 2020
SecureDorm: Sensor-Based Girls Hostel Surveillance System
Shreyansh Sharad Jain, Gaurav Singal, Deepak Garg, Suneet Kumar Gupta
Smart Innovation Systems and Technologies, 2020
A Novel Approach for Detection of Counterfeit Indian Currency Notes Using Deep Convolutional Neural Network
S Naresh Kumar, Gaurav Singal, Shwetha Sirikonda, R. Nethravathi
Iop Conference Series Materials Science and Engineering, 2020
DDOS Attack Detection Prevention in SDN using OpenFlow Statistics
Nisha Ahuja, Gaurav Singal
Proceedings of the 2019 IEEE 9th International Conference on Advanced Computing Iacc 2019, 2019
Identification of Dog Breeds Using Deep Learning
Rakesh Kumar, Manish Sharma, Kritika Dhawale, Gaurav Singal
Proceedings of the 2019 IEEE 9th International Conference on Advanced Computing Iacc 2019, 2019
CREATION: Computational constRained travEl aid for objecT detection in outdoor eNvironment
Kanak Manjari, Madhushi Verma, Gaurav Singal
Proceedings 15th International Conference on Signal Image Technology and Internet Based Systems Sisits 2019, 2019
Person Identification using Autonomous Drone through Resource Constraint Devices
Bhavya Pareek, Priyanka Gupta, Gaurav Singal, Riti Kushwaha
2019 6th International Conference on Internet of Things Systems Management and Security Iotsms 2019, 2019
UAVs Reliable Transmission for Multicast Protocols in FANETs
Gaurav Singal, Vijay Laxmi, M.S. Gaur, D Vijay Rao, Riti Kushwaha
2019 6th International Conference on Internet of Things Systems Management and Security Iotsms 2019, 2019
FCNN-LDA: A faster convolution neural network model for leaf disease identification on apple's leaf dataset
Mohit Agarwal, Rohit Kumar Kaliyar, Gaurav Singal, Suneet Kr. Gupta
Proceedings of 2019 International Conference on Information and Communication Technology and Systems Icts 2019, 2019
A travel aid for visually impaired: R-cane
Kanak Manjari, Madhushi Verma, Gaurav Singal
Communications in Computer and Information Science, 2019
Automatic Parallelization of C Code Using OpenMP
Gaurav Singal, Dinesh Gopalani, Riti Kushwaha, Tapas Badal
Communications in Computer and Information Science, 2019
MIRA: Moment Invariability Analysis of Footprint Features
Riti Kushwaha, Neeta Nain, Gaurav Singal
Proceedings of the 8th International Advance Computing Conference Iacc 2018, 2018
Pitfree: Pot-holes detection on Indian Roads using Mobile Sensors
Gaurav Singal, Anurag Goswami, Suneet Gupta, Tejalal Choudhary
Proceedings of the 8th International Advance Computing Conference Iacc 2018, 2018
Multi-constraints link stable multicast routing protocol in MANETs
Gaurav Singal, Vijay Laxmi, M.S. Gaur, Swati Todi, Vijay Rao, Meenakshi Tripathi, Riti Kushwaha
Ad Hoc Networks, 2017
Improved multicast routing in MANETs using link stability and route stability
Gaurav Singal, Vijay Laxmi, Vijay Rao, Swati Todi, Manoj Singh Gaur
International Journal of Communication Systems, 2017
Detailed analysis of footprint geometry for person identification
Riti Kushwaha, Neeta Nain, Gaurav Singal
Proceedings 13th International Conference on Signal Image Technology and Internet Based Systems Sitis 2017, 2017
Moralism: mobility prediction with link stability based multicast routing protocol in MANETs
Gaurav Singal, Vijay Laxmi, M. S. Gaur, Vijay Rao
Wireless Networks, 2017
Secure Link Establishment Method to Prevent Jelly Fish Attack in MANET
Ashish Thomas, Vijay Kr. Sharma, Gaurav Singhal
Proceedings 2015 International Conference on Computational Intelligence and Communication Networks Cicn 2015, 2016
SSLSM: Signal Strength Based Link Stability Estimation in MANETs
Sachi Brahmbhatt, Aishwary Kulshrestha, Gaurav Singal
Proceedings 2015 International Conference on Computational Intelligence and Communication Networks Cicn 2015, 2016
MCLSPM: Multi-constraints link stable multicast routing protocol in adhoc networks
Gaurav Singal, Vijay Laxmi, M. S. Gaur, Swati Todi, Vijay Rao, Akka Zemmari
IFIP Wireless Days, 2016
Impact analysis of attacks in multicast routing algorithms in MANETs
Gaurav Singal, Harshit Garg, Vijay Laxmi, Manoj Singh Gaur, Chhagan Lai
9th International Conference on Industrial and Information Systems Iciis 2014, 2015
LSMRP: Link stability based multicast routing protocol in MANETs
Gaurav Singal, Vijay Laxmi, Manoj Singh Gaur, Chhagan Lal
2014 7th International Conference on Contemporary Computing Ic3 2014, 2014

Gaurav Singal

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS