Results 61 to 70 of about 5,882,386 (325)

HIERARCHICAL MODELING APPROACH FOR PRODUCTION PLANNING [PDF]

open access: yesIFAC Proceedings Volumes, 1992
Abstract Production management problems are complex owing to large dimensionality, wide variety of decisions of varying scope, focus and time-horizon, and disturbances. A hierarchical approach to these problems is a way to address this complexity, wherein the global problem is decomposed into a series of top-down sub-problems.
G. Harhalakis, R. Nagi, J.M. Proth
openaire   +1 more source

Hierarchical Planning With Annotated Skeleton Guidance

open access: yesIEEE Robotics and Automation Letters, 2022
We present a hierarchical skeleton-guided motion planning algorithm to guide mobile robots. A good skeleton maps the connectivity of the subspace of c-space containing significant degrees of freedom and is able to guide the planner to find the desired solutions fast.
Diane Uwacu   +3 more
openaire   +2 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Hierarchical D ∗ algorithm with materialization of costs for robot path planning [PDF]

open access: yes, 2005
In this paper a new hierarchical extension of the D ∗ algorithm for robot path planning is introduced. The hierarchical D ∗ algorithm uses a down-top strategy and a set of precalculated paths (materialization of path costs) in order to improve ...
Cagigas Muñiz, Daniel
core  

Improved DOA estimation using polarisation diversity : simulations using a wideband propagation model [PDF]

open access: yes, 2000
This paper investigates the performance of a number of direction-of-arrival (DOA) estimation algorithms in a wideband macrocellular channel using a dual-polarised antenna array.
AlMidfa, K, Nix, AR, Temeh, EK
core   +2 more sources

A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy

open access: yesPhysics in Medicine and Biology, 2021
Purpose. We have previously proposed an intelligent automatic treatment planning (IATP) framework that builds a virtual treatment planner network (VTPN) to operate a treatment planning system (TPS) to generate high-quality radiation therapy (RT ...
Chenyang Shen, Liyuan Chen, X. Jia
semanticscholar   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Using Earley Parser for Verification of Totally Ordered Hierarchical Plans

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Hierarchical planning extends classical planning by capturing the hierarchical structure of tasks via decomposition of tasks to subtasks. Hierarchical plan verification is the problem of determining whether a given plan is valid according to that ...
Kristýna Pantůčková   +2 more
doaj   +1 more source

A Parametric Hierarchical Planner for Experimenting Abstraction Techniques [PDF]

open access: yes, 2003
This paper presents a parametric system, devised and implemented to perform hierarchical planning by delegating the actual search to an external planner (the "parameter") at any level of abstraction, including the ground one.
ARMANO, GIULIANO   +2 more
core  

Learning to Plan Hierarchically From Curriculum [PDF]

open access: yesIEEE Robotics and Automation Letters, 2019
We present a framework for learning to plan hierarchically in domains with unknown dynamics. We enhance planning performance by exploiting problem structure in several ways: (i) We simplify the search over plans by leveraging knowledge of skill objectives, (ii) Shorter plans are generated by enforcing aggressively hierarchical planning, (iii) We learn ...
Philippe Morere, Lionel Ott, Fabio Ramos
openaire   +2 more sources

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