Results 91 to 100 of about 123,872 (245)

Photovoltaic Power Prediction with Optimized Transformer Integrating Pyramid Attention Module and Temporal Convolutional Network [PDF]

Jisuanji gongcheng
Accurate photovoltaic power prediction is crucial for enhancing grid stability and improving energy utilization efficiency. To address the limitations of existing methods, which struggle to simultaneously consider both long-term dependencies and short ...
ZHANG Hong, LI Feng, MA Yanhong, JI Wenxuan, ZHENG Qipeng
doaj   +1 more source

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

Appropriate SCF basis sets for orbital studies of galaxies and a `quantum-mechanical' method to compute them

, 2007
We address the question of an appropriate choice of basis functions for the self-consistent field (SCF) method of simulation of the N-body problem. Our criterion is based on a comparison of the orbits found in N-body realizations of analytical potential ...
Allen, Aoki, Athanassoula, Binney, Carpintero, Christos Efthymiopoulos, Clutton-Brock, Clutton-Brock, Constantinos Kalapotharakos, Contopoulos, Contopoulos, Dehnen, Earn, Efthymiopoulos, Ferrarese, Fridman, Gurzandyan, Hernquist, Hernquist, Holley-Bockelmann, Holley-Bockelmann, Holley-Bockelmann, Hozumi, Jesseit, Kalapotharakos, Kalapotharakos, Kandrup, Lauer, Merritt, Merritt, Merzbacher, Muzzio, Muzzio, Nikos Voglis, Palmer, Pfenniger, Pruess, Schwartzchild, Shen, Sigurdsson, Sparke, Statler, Udry, Voglis, Voglis, Weinberg, Weinberg   +46 more
core   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Forecasting Agricultural Commodity Prices with Asymmetric-Error GARCH Models [PDF]

The performance of a proposed asymmetric-error GARCH model is evaluated in comparison to the normal-error- and Student-t-GARCH models through three applications involving forecasts of U.S. soybean, sorghum, and wheat prices.
Fadiga, Mohamadou L., Ramirez, Octavio A.   +1 more
core   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Internet of things and ensemble learning-based mental and physical fatigue monitoring for smart construction sites

Journal of Big Data
The construction industry substantially contributes to the economic growth of a country. However, it records a large number of workplace injuries and fatalities annually due to its hesitant adoption of automated safety monitoring systems. To address this
Bubryur Kim, K. R. Sri Preethaa, Sujeen Song, R. R. Lukacs, Jinwoo An, Zengshun Chen, Euijung An, Sungho Kim   +7 more
doaj   +1 more source

Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique

Frontiers in Artificial Intelligence
Short-term load forecasting plays a vital role in today's modern life to ensure the balance between energy demand and supply. Dynamic variations in weather and electricity consumption patterns can significantly influence load patterns, resulting in ...
Radhika Chandrasekaran, Senthil Kumar Paramasivan   +1 more
doaj   +1 more source

A closed-form GARCH option pricing model [PDF]

This paper develops a closed-form option pricing formula for a spot asset whose variance follows a GARCH process. The model allows for correlation between returns of the spot asset and variance and also admits multiple lags in the dynamics of the GARCH ...
Saikat Nandi, Steven L. Heston
core  

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source