Results 51 to 60 of about 62,954 (311)

Error Mitigation Algorithm Based on Bidirectional Fitting Method for Collision Avoidance of Unmanned Surface Vehicle

Polish Maritime Research, 2018
Radars and sensors are essential devices for an Unmanned Surface Vehicle (USV) to detect obstacles. Their precision has improved significantly in recent years with relatively accurate capability to locate obstacles. However, small detection errors in the
Song Lifei, Chen Zhuo, Mao Yunsheng, Dong Zaopeng, Xiang Zuquan   +4 more
doaj   +1 more source

Modeling of Harmonic Current in Electrical Grids with Photovoltaic Power Integration Using a Nonlinear Autoregressive with External Input Neural Networks [PDF]

, 2021
A.A. Jumilla-Corral, Carlos Pérez-Tello, Héctor Enrique Campbell-Ramírez, Zulma Yadira Medrano-Hurtado, Pedro Mayorga-Ortiz, Roberto L. Avitia   +5 more
openalex   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Order estimation for autoregressive models using criteria based on stochastic complexity

Kuwait Journal of Science
In this paper, we are interested in the order estimation of an autoregressive model using the information criterion developed by El Matouat and Hallin (1996), which is based on stochastic complexity.
Hamzaoui H., Moussa F.D., El Matouat A.
doaj   +1 more source

A Flexible Smoother Adapted to Censored Data With Outliers and Its Application to SARS-CoV-2 Monitoring in Wastewater

Frontiers in Applied Mathematics and Statistics, 2022
A sentinel network, Obépine, has been designed to monitor SARS-CoV-2 viral load in wastewaters arriving at wastewater treatment plants (WWTPs) in France as an indirect macro-epidemiological parameter.
Marie Courbariaux, Nicolas Cluzel, Siyun Wang, Vincent Maréchal, Laurent Moulin, Sébastien Wurtzer, Obépine Consortium, Jean-Marie Mouchel, Yvon Maday, Grégory Nuel, Grégory Nuel, Isabelle Bertrand, Mickaēl Boni, Christophe Gantzer, Soizick F. Le Guyader, Yvon Maday, Vincent Maréchal, Jean-Marie Mouchel, Laurent Moulin, Rémy Teyssou, Sébastien Wurtzer   +20 more
doaj   +1 more source

Behavior‐ and Cell Type‐Specific Cortico‐Striatal Decoupling in a Parkinson's Disease‐Like Mouse Model

Advanced Science, EarlyView.
Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao, Yang Liu, Wei‐Tong Zheng, Mao‐Qing Huang, Kai‐Wen He   +4 more
wiley   +1 more source

An Evaluation of the Power System Stability for a Hybrid Power Plant Using Wind Speed and Cloud Distribution Forecasts

Energies
Power system stability (PSS) refers to the capacity of an electrical system to maintain a consistent equilibrium between the generation and consumption of electric power. In this paper, the PSS is evaluated for a “hybrid power plant” (HPP) which combines
Théodore Desiré Tchokomani Moukam, Akira Sugawara, Yuancheng Li, Yakubu Bello   +3 more
doaj   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

Advanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku, Motoaki Onishi, Tomoki Misaka, Mitsuo Hara, Hirokazu Yano, Hidenori Okuzaki, Jun Matsui, Tsuyoshi Hasegawa, Takuya Matsumoto, Hirofumi Tanaka, Shusaku Nagano   +10 more
wiley   +1 more source

Exploring the Frontier: Generative AI Applications in Online Consumer Behavior Analytics

Management Letters/Cuadernos de Gestión
This paper presents a systematic review of the application of generative artificial intelligence (AI) in online consumer behavior analytics (OCBA). With the advent of e-commerce and social media, consumer behavior increasingly occurs online, generating ...
Takuma Kimura
doaj   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source