Results 51 to 60 of about 2,307,372 (214)

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

Journal of Field Robotics, Volume 43, Issue 7, Page 4821-4835, October 2026.
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp, Matteo Corno, Giulio Panzani, Sergio Matteo Savaresi   +3 more
wiley   +1 more source

Simple Modification for an Apriori Algorithm With Combination Reduction and Iteration Limitation Technique

Knowledge Engineering and Data Science, 2020
Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset.
Adie Wahyudi Oktavia Gama, Ni Made Widnyani   +1 more
doaj   +1 more source

The Great Dividing Range as a driver of genetic divergence in a low‐dispersing dragonfly

Ecological Entomology, Volume 51, Issue 5, Page 1002-1016, October 2026.
Population genomic analyses revealed low genetic differentiation and no discrete population structure across the Great Dividing Range, indicating widespread gene flow in Synthemis eustalacta. Genetic divergence was associated with environmental gradients, elevation and landscape resistance rather than geographic distance, supporting isolation by ...
Aaron M. Goodman, Ethan R. Tolman, Christopher D. Beatty, Mary E. Blair, John C. Abbott, David M. Alfaro, Seth Bybee, Rhema Uche‐Dike, Dominic A. Evangelista, Paul B. Frandsen, Ellie Gamett, Lilany Garcia, Rob Guralnick, Carl P. Hulick, Manpreet K. Kohli, Liam McCarthy, Kelly Reyes, Kassandra Taveras, Vincent Wade, Akifa Zahara, Jessica L. Ware   +20 more
wiley   +1 more source

Improvement of Apriori Algorithm Based on Boolean Matrix

, 2010
This paper introduces the association rules and Apriori algorithm in data mining, considering the disadvantages of Apriori algorithm, a new improved Apriori algorithm based on Boolean matrix is proposed .It scans transaction database only one time, thus ...
Yan Guang Shen, Bin Li Wang
core   +1 more source

Intelligent data analysis based on natural language processing technology in educational evaluation

Discover Artificial Intelligence
Traditional educational evaluation models cannot comprehensively evaluate students' learning effects and learning abilities in advance, and it is also difficult to track the development and changes of students' abilities in the learning process in real ...
Ruili Zheng
doaj   +1 more source

Optimization of Teaching Management System Based on Association Rules Algorithm

Complexity, 2021
The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but ...
Qing Niu
doaj   +1 more source

Domain‐Knowledge‑Guided Rule Extraction for Governing Nepheline Amount in High‑Level Waste Glasses

International Journal of Applied Glass Science, Volume 17, Issue 4, October 2026.
ABSTRACT Nepheline crystallization during canister centerline cooling is one of the most constraining factors limiting waste loading in high‐level waste (HLW) borosilicate glasses. Existing predictive models treat nepheline formation as a binary outcome, yet durability degradation depends continuously on nepheline fraction.
Irmak Sargin
wiley   +1 more source

Scalable and Efficient Improved Apriori Algorithm

, 2020
: Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. Based on the Apriori algorithm analysis and research, this paper points out the main problems on the application,
Prof. Sheetal Dhande, Miss Nutan Dhange
core  

Analyze Market Basket Data using FP-growth and Apriori Algorithm [PDF]

, 2013
In this paper we find the association rules among the large dataset. To find association rules we use two algorithm i.e.e.e. FP - growth and Apriori algorithms. First we find frequent itemsets using Weka tool and Rapid - miner tool.
, Ankur Mehay, Dr. Kawaljeet Singh, Dr. Neeraj Sharma
core   +1 more source

Intelligent Identification of Hidden Dangers in Hydrogen Pipeline Transmission Station Using GWO-Optimized Apriori Algorithm

Energies
This work proposes an intelligent grey-wolf-optimizer-improved Apriori algorithm (GWO-Apriori) to mine the association rules of hidden dangers in hydrogen pipeline transmission stations.
Chaoming Wang, Anqing Fu, Weidong Li, Mingxing Li, Tingshu Chen   +4 more
doaj   +1 more source