Results 141 to 150 of about 27,547 (261)

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

National Energy Research Scientific Computing Center (NERSC): Advancing the frontiers of computational science and technology

, 1996
John Hules
openalex   +2 more sources

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Don’t Trust your Simulation -Computational Materials Science on its Way to Maturity? [PDF]

, 2002
Dierk Raabe
openalex   +1 more source

3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes

Advanced Biology, EarlyView.
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins, Ah Joung Yu, Cheryl T. Gomillion   +2 more
wiley   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Programs for attracting under-represented minority students to graduate school and research careers in computational science. Final report for period October 1, 1995 - September 30, 1997

, 1997
James C. Jr. Turner, Thomas Mason, Bruno Guerrieri   +2 more
openalex   +2 more sources

RRP9 Promotes Esophageal Squamous Cell Carcinoma Progression through E2F1 Transcriptional Regulation of CDK1

Advanced Biology, EarlyView.
The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He, Yilong Wan, Yanbo Zhu, Bo Peng, Shengxiang Shao, Xinyi Zou, Zhenyu Han, Jiaxi Li, Sheng Ju, Xin Tong, Jun Zhao, Hansi Liang, Liuqing Zhang, Jiashi Xiong, Dong Jiang   +14 more
wiley   +1 more source

Cross Over Research of Computational Science for Nuclear Engineering

, 1997
矢川 元基, 笠原 直人, 荒井 長利, 牧野内 昭武, 白石 春樹, 高橋 亮一, 山口 彰, 蕪木 英雄, 渡辺 正, 関口 智嗣, 佐藤 三久, 中田 秀基   +11 more
openalex   +2 more sources

Computational Earthquake Science Part II [PDF]

, 2002
Andrea Donnellan, Péter Móra, Mitsuhiro Matsu’ura, Xiang-Chu Yin   +3 more
openalex   +1 more source