The prediction of stock price movement direction is significant in financial circles and academic. Stock contains complex, incomplete, fuzzy information which makes it an extremely difficult task to predict its development trend. Predicting analysing data a nonlinear, time-dependent problem. With rapid machine learning deep learning, this can be performed more effectively by purposely designed ...

In this paper, a set of Root mean square derivative based closed Newton Cotes quadrature formula (RMSDCNC) is introduced in which the derivative value is included in addition to the existing closed Newton Cotes quadrature (CNC) formula for the calculation of a definite integral in the inetrval [a, b]. These derivative value is measured by using the root mean square value. The proposed formula y...

1. INTRODUCTION Multisensor image registration is necessary in many applications of remote sensing imagery, whose crucial problem is how to establish the correspondence between the features extracted from the reference and input images. Most existing methods only consider how to extract features, however, the quality of the features are ignored. In this paper, we combine scale invariant feature...

This study aims at quantifying spatio-temporal dynamics of monthly mean dailyincident photosynthetically active radiation (PAR) over a vast and complex terrain such asTurkey. The spatial interpolation method of universal kriging, and the combination ofmultiple linear regression (MLR) models and map algebra techniques were implemented togenerate surface maps of PAR with a grid resolution of 500 ...

State-of-the-art passive microwave remote sensing-based snow water equivalent (SWE) algorithms correct for factors believed to most significantly affect retrieved SWE bias and uncertainty. For example, a recently developed semi-empirical SWE retrieval algorithm accounts for systematic and random error caused by forest cover and snow morphology (crystal size — a function of location and time of ...

Forecasting is a systematic attempt to examine the future by inference from known facts. Sales forecasting is an ballpark figure of sales during a specified future period. Formerly, it was a manual process using the mathematical formulas. Due to the advent of computer the process of sale forecasting is fast and accurate. Machine learning, a subfield of Artificial Intelligence, has many algorith...

INTRODUCTION This study aimed at investigating the applicability of a polynomial function laterally, combined with a parabola or hyperbolic cosine function in the front, for mandibular curve-fitting purposes in late mixed dentition patients with crowding. The possible advantages of using a bilateral center of gravity for curve construction were examined. METHODS After digitizing 30 mandibular...

Recently, Busch, Lahti, and Werner [1] claimed that Heisenberg’s error-disturbance relation can be proved in its original form with new formulations of error and disturbance, in contrast to the theory proposed by the present author [2–5] and confirmed by recent experiments [6–9]. Despite their claim, it is shown here that a class of solvable models of position measurement with explicit interact...