Results 61 to 70 of about 4,458,250 (263)

Probability density estimation with tunable kernels using orthogonal forward regression [PDF]

, 2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Chen, S.   +3 more
core   +1 more source

A Streaming Data Clustering Method Based on Dual Strategies Improved DENCLUE

IEEE Access
Streaming data arrives continually and is characterized by fast, massive, dynamic evolution and instability. Different from traditional static data clustering, streaming data clustering algorithms need to consider concept drift, outlier handling ...
Ting Cai, Jiazhi Lv, Zhiwei Ye, Xiang Li, Wen Zhou, Orest Kochan   +5 more
doaj   +1 more source

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

Advanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn, Sarah Kaden, Andrea Barz, Daniel Störzner, Jens Bliedtner, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Implementasi Algoritma Analisis Hotspot dengan Kernel Density Estimation (KDE) untuk Visualisasi Bisnis UMKM Kuliner Berbasis WebGIS (Studi Kasus: Kota Makassar)

RIGGS: Journal of Artificial Intelligence and Digital Business
Penelitian ini mengatasi tantangan krusial dalam pemetaan potensi ekonomi Usaha Mikro, Kecil, dan Menengah (UMKM) sektor kuliner di Kota Makassar yang selama ini belum terintegrasi secara spasial, meskipun sektor ini menjadi penggerak utama ekonomi kota.
Mega Puspita Trianjani, Syamsu Alam, Muhammad Ashdaq   +2 more
openaire   +1 more source

Influence of TiC and TiN Ceramic Reinforcements on the Microstructure, Thermal Expansion Behavior, and Tensile Properties of Invar 36 Manufactured by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji, Natasha Sacks, Johannes Pötschke, Björn Matthey   +3 more
wiley   +1 more source

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization [PDF]

, 2004
This paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model generalization capability.
Harris, C. J., Hong, X., Harris, C.J., Chen, S.   +3 more
core   +2 more sources

Personalized lane departure warning based on non-stationary crossformer and kernel density estimation

Alexandria Engineering Journal
The primary causes leading to a high false warning rate in Lane Departure Warning (LDW) systems are the inaccuracy in departure trajectory prediction and inadequate consideration in determining the departure threshold.
Heng Yin, Lishengsa Yue, Yaobang Gong, Pei Li, Yexin Huang   +4 more
doaj   +1 more source

Robust optimisation of electricity‐heating integrated energy system based on data‐driven PV interval estimation

IET Energy Systems Integration, 2023
Short‐term interval estimation can effectively and precisely quantify the uncertainties of renewable energy, accurately represent the range of fluctuations of uncertain variables in robust optimisation of electricity‐heating integrated energy system ...
Tao Xu, Zuozheng Liu, Lingxu Guo, He Meng, Rujing Wang, Mengchao Li, Shuqi Cai   +6 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

An Integrated Model Based on O-GAN and Density Estimation for Anomaly Detection

IEEE Access, 2020
Anomaly detection is a classic and crucial problem in the field of artificial intelligence, which aims to find instances that deviate so much from the main distribution of data or differ from known instances.
Shuo Liu, Liwen Xu
doaj   +1 more source