Akhilesh Kumar Singh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Akhilesh Kumar Singh has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Mahesh Kumar Singh
Dronacharya Group of Institutions
2 shared publications - Pushpendra Singh
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ghaziabad, India
2 shared publications - Amit Srivastava
Department of Mathematics, Jaypee Institute of Information Technology, Noida 201304, Uttar Pradesh, India
1 shared publication - Ashish Tripathi
Galgotias University
1 shared publication - Kalpana
ABES Engineering College
1 shared publication - Om Prkash Rishi
Informatics University of Kota
1 shared publication
Latest Publications
- 14 October 2025
- Published by Springer Nature
- p. 217-232
Driver Alertness Monitoring System Using Facial Recognition
- 14 October 2025
- Published by Springer Nature
- p. 217-232
Driver Alertness Monitoring System Using Facial Recognition
- 1 October 2025
- Published by Springer Nature
- p. 629-644
Implementation of WhatsApp Chat Data Analyzer Using Fusion of NLP and Machine Learning
- 1 October 2025
- Published by Springer Nature
- p. 629-644
Implementation of WhatsApp Chat Data Analyzer Using Fusion of NLP and Machine Learning
- 14 July 2023
- Published by Springer Nature
- p. 460-472
Artificial Intelligence Enabled IOT System for Football Identification in a Football Match
- 14 July 2023
- Published by Springer Nature
- p. 460-472
Artificial Intelligence Enabled IOT System for Football Identification in a Football Match
- 1 December 2013
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 21-26
Dichotomous exponential entropy functional and its applications in medical diagnosis
The present paper deals with a new Dichotomous parametric exponential information gain function whose expected value yields new entropy functional. The notions of similarity index of order p and the rate of similarity for a sequence lying in a given closed interval is introduced and studied. It is established that for the dichotomous sequence lying between 0 and 1, the uncertainty decreases linearly with a constant rate. Moreover, the properties of this new entropy functional are studied and the findings are compared with the entropy functions defined by Shannon [1] and Pal and Pal [4, 5]. Finally, an application in medical diagnosis is also established using this new entropy functional.
- 1 December 2013
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 21-26
Dichotomous exponential entropy functional and its applications in medical diagnosis
The present paper deals with a new Dichotomous parametric exponential information gain function whose expected value yields new entropy functional. The notions of similarity index of order p and the rate of similarity for a sequence lying in a given closed interval is introduced and studied. It is established that for the dichotomous sequence lying between 0 and 1, the uncertainty decreases linearly with a constant rate. Moreover, the properties of this new entropy functional are studied and the findings are compared with the entropy functions defined by Shannon [1] and Pal and Pal [4, 5]. Finally, an application in medical diagnosis is also established using this new entropy functional.