FINE-TUNING ZEILBERGER’S ALGORITHM The Methods of Automatic Filtering and Creative Substituting

Tuning Zeilberger's Algorithm: The Methods of Uncreative Filtering and Creative Substituting

Automatic tuning of a behavior-based guidance algorithm for formation flight of quadrotors

This paper presents a tuned behavior-based guidance algorithm for formation flight of quadrotors. The behavior-based approach provides the basis for the simultaneous realization of different behaviors such as leader following and obstacle avoidance for a group of agents; in our case they are quadcopters. In this paper optimization techniques are utilized to tune the parameters of a behavior-bas...

Some applications of differential-difference algebra to creative telescoping. (Quelques applications de l'algébre différentielle et aux différences pour le télescopage créatif)

Since the 1990’s, Zeilberger’s method of creative telescoping has played an important role in the automatic verification of special-function identities. The long-term goal initiated in this work is to obtain fast algorithms and implementations for definite integration and summation in the framework of this method. Our contributions include new practical algorithms, complexity analyses of algori...

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Comprehensive Analysis of Dense Point Cloud Filtering Algorithm for Eliminating Non-Ground Features

Point cloud and LiDAR Filtering is removing non-ground features from digital surface model (DSM) and reaching the bare earth and DTM extraction. Various methods have been proposed by different researchers to distinguish between ground and non- ground in points cloud and LiDAR data. Most fully automated methods have a common disadvantage, and they are only effective for a particular type of surf...