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Mayank Tripathi

Publications (4)

Gradient Boosting Models Predicting Standing Volume of Trees in an Urban Framework

Mayank Tripathi & Hema Joshi · Asian Journal of Research in Agriculture and Forestry · 2026

Reliable prediction of stem volume is crucial for effective management of urban trees along with their ecological assessment. Traditionally, regression models were used to estimate growing stocks of a forest, yet they often fall short when handling the complex, non-linear pattern...

Open access Research Article 10.9734/ajraf/2026/v12i2503

Allometric Aboveground Biomass Models for Northern Delhi Ridge Forest

Mayank Tripathi & Hema Joshi · Asian Journal of Research in Agriculture and Forestry · 2023

Bio energy obtained through forest biomass is a promising renewable energy option that provides a more environmentally sustainable alternative to fossil resources by reducing the net flux of greenhouse gases to the atmosphere. India, a developing nation is also in the process of...

Open access Research Article 10.9734/ajraf/2023/v9i4251

Individual-Based Modelling for Predicting Dry Matter Accumulation in Juveniles of Indian Olive Raised under Different Soil Treatments

Mayank Tripathi · Asian Journal of Soil Science and Plant Nutrition · 2023

Dry matter accumulation data for juvenile Indian Olive saplings was modelled using linear and non- linear regression models. The data was gathered bimonthly and for two years i.e., twelve readings. Linear, Quadratic, Power, Sigmoid, and Exponential models performed quite well for...

Open access Research Article 10.9734/ajsspn/2023/v9i4197

The Immediate Effect of Steam Bath and Sauna Bath on Heart Rate Variability and Body Composition in Obese Individuals: A Comparative Study

Mayank Tripathi, K. J. Sujatha & Prashanth Shetty · Journal of Complementary and Alternative Medical Research · 2021

Aim: The present study was designed to evaluate and compare the immediate effects of steam bath and sauna bath on body composition and Heart Rate Variabilities in individuals with obesity. Study Design: Prospective randomised comparative trial. Materials and Methods: Participants...

Open access Research Article 10.9734/jocamr/2021/v16i430317