Results 121 to 130 of about 1,024,956 (306)
Informed decision making is an important aspect based on improved and reliable forecasting. Modeling and forecasting complex real data are crucial for policymaking.
Haris Khurram
doaj +1 more source
An approach to non-linear Bayesian forecasting problems with applications [PDF]
This thesis is devoted to the analysis and modelling of time series and it is concentrated on models and techniques which are of practical value. In particular we developed a wide class of non-linear dynamic models which are useful in the handling of ...
Migon, Helio dos Santos
core
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
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 +2 more
wiley +1 more source
In response to the complexity and high volatility of original load data affecting the accuracy of load forecasting, a combined method for short-term load forecasting considering the characteristics of components of seasonal and trend decomposition using ...
Sile Hu +7 more
doaj +1 more source
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 +9 more
wiley +1 more source
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 +6 more
wiley +1 more source
Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance [PDF]
Decision‐making in agriculture is carried out in an uncertain environment with farmers often seeking information to reduce risk. As a result of the extreme variability of rainfall and stream‐flows in north‐eastern Australia, water supplies for irrigated ...
Dutta, Sunil C. +4 more
core
Lost in aggregation? On the importance of local food price data for food poverty estimates
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 +4 more
wiley +1 more source
Forecasting Time-Series with Correlated Seasonality [PDF]
A new approach is proposed for forecasting a time series with multiple seasonal patterns. A state space model is developed for the series using the single source of error approach which enables us to develop explicit models for both additive and ...
Anne B. Koehler +5 more
core
Climate change and perennial crop production: Evidence of yield impact and adaptation in California
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 +2 more
wiley +1 more source

