Dr Navneet Verma
@piet.co.in
Assistant Professor
Panipat Institute of Engineering and Technology
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Sensory Systems
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Navneet Verma, Sukhdip Singh, and Devendra Prasad
Springer Science and Business Media LLC
Navneet Verma, Sumit Rana, Shivani Gaba, and Shally Nagpal
IEEE
Due to the propagation of IoT technologies Healthcare cannot remain outside of this paradigm. In latest years, there has been a lot of interest in the Internet of Things (IoT) technology to relieve the strain on healthcare systems brought on by the ageing population and the rise in persistent illnesses. One of the main obstacles preventing advancement in this field is standardization or global connectivity between the Internet of Things (IoT) and the medical surroundings. All from electrical engineers to data engineers have a significant problem in having to integrate everything in a global setting. The difficulties that healthcare IoT confronts, such as security, privacy, and less-energy procedures, are discussed, and suggestions are provided for future research paths. This paper is written to gather data on various Internet of Things architectures now used in Healthcare and analyse how well different academics have applied it.
Navneet Verma, Sukhdip Singh, and Devendra Prasad
Wiley
SummaryHealth monitoring is one of the sustainable development areas throughout the globe and Diabetes Mellitus is a common disease worldwide that is one of the main causes of health disasters. Currently, Internet of Things (IoT) and machine learning (ML) technology together provide a proficient approach for monitoring and predicting diabetes mellitus. In this article, we have proposed a model which uses the hybrid enhanced adaptive data rate (HEADR) algorithm for long range (LoRa) protocol of the Internet of Things (IoT) for patient's real‐time data gathering. Further, machine learning prediction takes place by using classification methods for the detection of diabetes severity levels on collected data through LoRa protocol. The performance of the LoRa protocol is evaluated on the Contiki Cooja simulator based on throughput and packet collision parameters. The proposed model uses different machine learning classifiers, namely, gradient boosting (GB), random forest (RF), decision tree (DT), support vector machine (SVM), K‐nearest neighbors (KNN), logistic regression (LR), and Gaussian Naive Bayes (GNB) to predict diabetes with maximum accuracy score, precision, recall, F‐measure, and receiver operating curve (ROC), using Python programming language.
Navneet Verma, Sukhdip Singh, and Devendra Prasad
Springer Science and Business Media LLC
Navneet Verma*, , Dr. Suman Sangwan, Dr. Sukhdeep Sangwan, Dr. Devender Parsad, , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Internet of Things (IoT) is an alliance of material object linked via internet. Material objects embedded with RFID, WSNs and many more through which objects remain connected with each other. Each material objects which is the part of communication are having a unique identifier. IoT is extremely heterogeneous, so security is a big challenge in IoT. In this article, many security challenge and counters measures and research objectives are studied.
Aditya Vikram Agarwal, Navneet Verma, Sandeep Saha, and Sanjeev Kumar
Springer Singapore
Aditya Vikram Agarwal, Navneet Verma, and Sanjeev Kumar
Springer Singapore