Tree growth in Korean red pine (Pinus densiflora, hereafter Pd), white koraiensis, Pk), and Japanese larch (Larix kaempferi, Lk) was modeled using Logistic, Korf, Gompertz, Chapman-Richards, Weibull equations stem analysis data from sample trees: 38 trees for Pd, 46 Pk, 45 Lk. The models were fitted to the total increment of tree size variables, diameter at breast height (DBH), height, basal ar...

In today’s digital age, it is crucial to secure the flow of information protect data and from being hacked during transmission or storage. To address this need, we present a new image encryption technique that combines Kronecker xor product, Hill cipher, sigmoid logistic Map. Our proposed algorithm begins by shifting values in each row state matrix left predetermined number positions, then encr...

HIGHLIGHTS This work introduces the Gudermannian function as a sigmoid growth model. Hyperbolic and trigonometric identities provide several parameterizations of this The model can be good alternative to classical models.

The study pertains to the estimation of carcass traits of broiler duck reared in hot and humid climate of Eastern India. The carcass and different cut weights were estimated using non invasive measurements, breast angle and body weights separately at different ages, i.e. 21, 28,35,42,49 and 56 days of age. The carcass traits were estimated using linear, logarithmic, exponential, inverse, power,...

Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural been introduced deal with different However, the main goal any network is transform non-linearly separable input data into more linearly abstract features using a hierarchy layers. These layers are combinations linear and nonlinear functions. The most popular common non-linearity act...

Logistic regression is a classical linear model for logit-transformed conditional probabilities of a binary target variable. It recovers the true conditional probabilities if the joint distribution of predictors and the target is of log-linear form. Weights-of-evidence is an ordinary logistic regression with parameters equal to the differences of the weights of evidence if all predictor variabl...

We present a new, two-pool, linear, time-varying model to describe the short term dynamics of the Ca-PTH axis. We use an asymmetrical reverse sigmoid PTH secretion rate function in the model. This results in an asymmetrical reverse sigmoid relationship between plasma Ca++ and plasma parathyroid hormone (PTH) concentrations (Ca-PTH relationship). In the first validation of this kind, with parame...

Prediction of annual rice production in all the 31 districts of Tamilnadu is an important decision for the Government of Tamilnadu. Rice production is a complex process and non linear problem involving soil, crop, weather, pest, disease, capital, labour and management parameters. ANN software was designed and developed with Feed Forward Back Propagation (FFBP) network to predict rice production...