Results 61 to 70 of about 1,188,978 (260)

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Optimal FOC-PID Parameters of BLDC Motor System Control Using Parallel PM-PSO Optimization Technique

International Journal of Computational Intelligence Systems, 2021
This paper proposes a parallelization method for meta-heuristic particle swarm optimization algorithm to obtain a convincingly fast execution and stable global solution result.
Nguyen Tien Dat, Cao Van Kien, Ho Pham Huy Anh   +2 more
doaj   +1 more source

Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation [PDF]

, 2007
The allocation of fresh produce to shelf space represents a new decision support research area which is motivated by the desire of many retailers to improve their service due to the increasing demand for fresh food. However, automated decision making for
Kendall, Graham, Ek Burke, G Kendall, Burke, Edmund, E K Burke, Bai, Ruibin, R Bai   +6 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Informe de prácticas empresariales FENALCO seccional Meta y Llanos Orientales

, 2021
La seccional de Fenalco Meta cuenta con cinco áreas de trabajo, el área administrativa, el área de formación especializada, el área de coordinación de afiliados, el área de coordinación de eventos y, por último, el área comercial donde se encuentra el ...
Zamora Palomo, Andry Gimena
core  

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Informe de práctica empresarial

, 2023
Informe de práctica profesional del programa de Comunicación Social y PeriodismoEl 9 de noviembre de 1982, en el barrio El Triunfo de la ciudad de Villavicencio, se reunieron Rafael Mojica García, Nancy Leonor Espinel Riveros y Ramiro Mojica García ...
Vélez Barrera, Jhon Oscar
core  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch

Scientific Reports
Recently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields.
Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez   +2 more
doaj   +1 more source

Informe de práctica empresarial, Comisaría de Familia de Guamal

, 2023
Las Comisarías de Familia son la puerta de entrada para el acceso a la justicia que tienen las víctimas de violencia intrafamiliar, la cual conlleva de manera implícita la violación de los derechos humanos, repercute en el ámbito de la integridad física ...
Cárdenas Chaparro, Ingrid Julieth
core