Results 51 to 60 of about 16,091 (233)

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

The CdC2000 Bordeaux Carte du Ciel catalogue (+11° ≤ delta ≤ +18°)

, 2006
International audienceContext: .This work is part of a program of proper motion measurements in the Bordeaux Carte du Ciel zone.Aims.We present the CdC2000 catalogue issued from the reduction of the complete Bordeaux Carte du Ciel zone observed at the ...
Fresneau, A., G. Daigne, Rapaport, M., Camargo, J. I. B., Colin, J., R. Teixeira, J. F. Le Campion, Daigne, G., C. Ducourant, R. W. Argyle, Ducourant, C., Le Campion, J.-F., Soubiran, C., M. Rapaport, Teixeira, R., Requieme, Y., A. Fresneau, J. P. Périé, J. I. B. Camargo, C. Soubiran, Y. Réquième, Argyle, R. W., Perie, J. P., J. Colin   +23 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Selection of massive evolved galaxies at $3 \leq z \leq 4.5$ in the CANDELS fields

, 2020
20 pages, 11 figures, Accepted for publication in ...
Shahidi, Abtin, Mobasher, Bahram, Nayyeri, Hooshang, Hemmati, Shoubaneh, Wiklind, Tommy, Chartab, Nima, Dickinson, Mark, Finkelstein, Steven L, Pacifici, Camilla, Papovich, Casey, Ferguson, Henry C., Fontana, Adriano, Giavalisco, Mauro, Koekemoer, Anton, Newman, Jeffery, Sattari, Zahra, Somerville, Rachel   +16 more
openaire   +2 more sources

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

Advanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka, Kei Okada, Masayuki Inaba   +2 more
wiley   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

A Simple and Practial Estimation Method of Leq Noise Evaluation Index by Use of Statistical Information on Noise Level Fluctuation

, 1987
P(論文)As is well-known, the noise evaluation index, Leq, is very important in the actual field of noise evaluation and regulation problems. On the other hand, an extraction of the lower and/or higher order statistical information has become easier by use ...
美禰, 忠夫, 41741, 41740, 三谷, 康夫   +3 more
core  

Zero-sound in nuclear matter with the asymmetry parameter $-1\leq β\leq 1$

, 2018
Results for the frequencies of zero-sound excitations in the isospin asymmetric nuclear matter are presented for the different parameters of asymmetry -1\leqβ\leq 1. The dispersion equations are constructed within the random phase approximation. We use the effective Landau-Migdal quasiparticle interaction with the special isospin dependence of the ...
openaire   +2 more sources

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source