Results 131 to 140 of about 941,174 (293)

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

Enhancing sub-seasonal soil moisture forecasts through land initialization

npj Climate and Atmospheric Science
We assess the relative contributions of land, atmosphere, and oceanic initializations to the forecast skill of root zone soil moisture (SM) utilizing the Community Earth System Model version 2 Sub to Seasonal climate forecast experiments (CESM2-S2S ...
Yanan Duan, Sanjiv Kumar, Montasir Maruf, Thomas M. Kavoo, Imtiaz Rangwala, Jadwiga H. Richter, Anne A. Glanville, Teagan King, Musa Esit, Brett Raczka, Kevin Raeder   +10 more
doaj   +1 more source

A Bayesian approach to forecast intermittent demand for seasonal products

, 2012
This paper investigates the forecasting of a large fluctuating seasonal demand prior to peak sale season using a practical time series, collected from the US census Bureau. Due to the extreme natural events (e.g.
Rahman, Mohammad Anwar, Sarker, Bhaba R.
core   +1 more source

Multicenter Validation of Machine Learning Models for Predicting Myopia Progression Across School‐Based Screening and Optical Intervention Settings in Chinese Children and Adolescents

Advanced Intelligent Discovery, EarlyView.
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang, Mingxuan Liu, Yifei Chen, Ying Wu, Lijun Zhang, Mengyao Guo, Yulan Yan, Runmei Wei, Zihan Cui, Peng Luo, Fang Chen, Bo Yang, Youcang Han, Xiaoyang Liu, Qiyuan Tian   +14 more
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

A Vacuum‐Suction and Rotate End Effector for Robotic Apple Fruitlet Thinning: Comparative Development, Integrated Field Evaluation, and Preliminary Harvesting

Advanced Intelligent Systems, EarlyView.
Robotic apple thinning is constrained by a single field season confined to a few weeks each year. An efficient design process screens four detachment concepts off‐season using an artificial fruitlet structure, with field trials identifying vacuum suction and rotation as the most effective approach.
Rahul Jangali, Ben McGuinness, Hin Lim, Chi Kit Au, Henry Williams, Ans H. Qureshi, David Smith, Bruce A. MacDonald, Mike Duke, Abozar Nasirahmadi   +9 more
wiley   +1 more source

A Backdrivable Impedance‐Controlled Wrist for Safe and Measurable Canopy Interaction in Robotic Apple Harvesting

Advanced Intelligent Systems, EarlyView.
Dense apple canopies make contact unavoidable, and human pickers handle it by letting the wrist give. A compact backdrivable wrist brings the same compliance to a harvesting robot, deflecting on contact and estimating the interaction torque from motor current alone.
Ali Yasar, Dilshan Ranasinghe, Ayham Ahmed, Andrew, Edric Lay, Shao Liu, Chao Chen   +6 more
wiley   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

Seasonal Maximum Temperature Forecast (LRF02) - Model - Southern Africa

Seasonal Maximum Temperature Forecast (normal, below normal and above normal).

core