Results 81 to 90 of about 5,552,368 (307)

Hierarchical Path Planning Strategy Based on Software Defined Networking [PDF]

open access: yesJisuanji gongcheng, 2018
The Streaming Media Edge Cloud(SMEC) based on Software Defined Networking(SDN) needs effective path planning strategy.However,the traditional path planning strategy in SDN only considers the load of network and topology information,there are some defects
HE Jieting,WANG Zilei,XI Hongsheng
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

A Multi-Agent Extension of a Hierarchical Task Network Planning Formalism

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2017
Describing planning domains using a common formalism promotes greater reuse of research, allowing a fairer comparison between different planners and approaches. Common planning formalisms for single-agent planning are already well established (e.g., PDDL,
Rafael Cauê CARDOSO   +1 more
doaj   +1 more source

Planning and Proof Planning [PDF]

open access: yes, 1996
. The paper adresses proof planning as a specific AI planning. It describes some peculiarities of proof planning and discusses some possible cross-fertilization of planning and proof planning. 1 Introduction Planning is an established area of Artificial
Bundy, Alan, Melis, E.
core   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

open access: yesArthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim   +18 more
wiley   +1 more source

A two-stage hierarchical model for spatial location and evacuation allocation problem of urban earthquake shelters: a case study in Central urban area of Yangbi county, Yunnan province, China

open access: yesGeomatics, Natural Hazards & Risk, 2022
The scientific planning of urban shelters can greatly reduce property losses and casualties, and can improve the efficiency and safety of post-disaster evacuation.
Guangchun Zhong   +3 more
doaj   +1 more source

Impact of Positive Lifestyle Behaviors on Direct Health Care Cost Savings for Low Back Pain

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to investigate the relationship between a previously purpose‐developed lifestyle behavior scale and health care cost savings related to low back pain (LBP). Methods This longitudinal study used data from the Australian Twin Back (AUTBACK) study. LBP and lifestyle behavior measures were collected at baseline. Physical activity
Ye Tian   +8 more
wiley   +1 more source

Handling Empty Decomposition Methods in Hierarchical Planning

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Hierarchical planning is a form of planning where tasks decompose into sub-tasks until primitive tasks (actions) are obtained. These decompositions might contain additional constraints, such as subtask ordering and state constraints. If a task is already
Simona Ondrčková   +2 more
doaj   +1 more source

Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search

open access: yes, 2018
Today's automated vehicles lack the ability to cooperate implicitly with others. This work presents a Monte Carlo Tree Search (MCTS) based approach for decentralized cooperative planning using macro-actions for automated vehicles in heterogeneous ...
Kurzer, Karl   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy