Results 51 to 60 of about 3,823,341 (178)

Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control

Water Resources Research
This study presents an innovative approach to risk‐aware decision‐making in water resource management. We focus on a case study in the Netherlands, where risk awareness is key to water system design and policy‐making.
Ties van derHeijden, Miguel Angel Mendoza‐Lugo, Peter Palensky, Nick van deGiesen, Edo Abraham   +4 more
doaj   +1 more source

Machine Learning for Wind Pattern Estimation at Data-Scarce Coastal Ports: A Comparative Study Using Real Measurements

Journal of Marine Science and Engineering
Accurate wind information is essential for safe and efficient port operations, yet many small and medium-sized coastal ports lack dense meteorological instrumentation. This paper presents a data-driven framework for wind speed prediction at such ports by
Anastasios Giannopoulos, Aikaterini Karditsa, Maria Hatzaki, Panagiotis Trakadas   +3 more
doaj   +1 more source

An auditable no-code platform for building and evaluating hybrid conversational agents

Journal of Information and Telecommunication
While Large Language Models (LLMs) have advanced conversational agents, creating reliable, governable chatbots remains a specialized task, often inaccessible to non-programmers.
Binh Vu, Shashank Barai, Swati Chandna, Mehrdad Jalali   +3 more
doaj   +1 more source

Decision making with decision event graphs [PDF]

, 2010
We introduce a new modelling representation, the Decision Event Graph (DEG), for asymmetric multistage decision problems. The DEG explicitly encodes conditional independences and has additional significant advantages over other representations of ...
Thwaites, Peter, Smith, J. Q., Cowell, Robert G.   +2 more
core  

DECISION TREES – A PERSPECTIVE OF ELECTRONIC DECISIONAL SUPPORT [PDF]

Without substitute decision-maker, decision support system, through their components,can facilitate the work of decision-maker by providing useful clues to solving problems andidentifying opportunities.
Janetta Sirbu, Dan Racovitan, Nicolae Marginean   +2 more
core  

Deterministic Automata on Unranked Trees [PDF]

, 2005
We investigate bottom-up and top-down deterministic automata on unranked trees. We show that for an appropriate definition of bottom-up deterministic automata it is possible to minimize the number of states efficiently and to obtain a unique canonical
Wolfgang Thomas, Christau, Julien, Löding, Christof, Julien Cristau, Thomas, Wolfgang   +4 more
core   +1 more source

Early warning system for coffee rust disease based on error correcting output codes: a proposal

Revista Ingenierías Universidad de Medellín, 2014
Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision
David Camilo Corrales, Andrés J Peña Q, Carlos León, Apolinar Figueroa, Juan Carlos Corrales   +4 more
doaj  

Cognitive biases and rational decision making for volcanic hazards and risks

Frontiers in Earth Science
Volcanic systems are governed by complex, non-linear dynamics that make deterministic forecasting impossible and require decisions to be made under substantial uncertainty.
Paolo Papale
doaj   +1 more source

Heuristic optimization methods for linear ordering of automata [PDF]

Известия Саратовского университета. Новая серия: Математика. Механика. Информатика
The rapid development of society is associated with two key areas of science and technology: methods of working with Big Data and Artificial Intelligence.
Farakhutdinov, Renat Abuhanovich
doaj   +1 more source

Data-Driven LightGBM Attitude Controller for Low Earth Orbit Satellites With Explicit Gravity Gradient, Geomagnetic, and Aerodynamic Disturbance Modeling

IEEE Access
This paper presents a data-driven spacecraft attitude controller based on LightGBM gradient-boosted trees, specialized for Low Earth Orbit (LEO) satellites under realistic environmental disturbances.
Dimitri Mahayana, Meiditomo Sutyarjoko
doaj   +1 more source