Results 61 to 70 of about 53,943 (265)
Operating Room Scheduling Considering Patient Priorities and Operating Room Preferences: A Case Study [PDF]
International Journal of Industrial Engineering and Production Research, 2022 Operating rooms have become the most important areas in hospitals because of the scarcity and cost of resources. The present study investigates operating room scheduling and rescheduling considering the priority of surgical patients in a specialized ...
Sima Boosaiedi +2 more
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Heuristics for the Distributed Breakout Algorithm [PDF]
, 2004 Distributed Constraint Satisfaction Problems (DisCSP) is a very powerfulparadigm applicable for a wide range of coordination and problem solving tasks in distributed artificial intelligence. There are a number of distributed algorithms that were developed for this kind of problems.
openaire +1 more source
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
Advanced Robotics Research, EarlyView.An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications
Advanced Robotics Research, EarlyView.A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali +6 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Heuristics, Advanced Heuristics or Optimal Algorithm
Strojniški vestnik, 2004 The order-picking, process of retrieving items from storage locations in response to a specific customer request, is the most laborious and the most costly activity in a typical warehouse. As the 50% of total order picking time is spent on traveling, reducing travel distances is one of a warehouse designers' objectives.
Oluić, Čedomir, Đukić, Goran
openaire
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, EarlyView.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Jurnal Informatika, 2002 The application of Activity Based Costing (ABC) approach to select the set-machine that is used in the production of Flexible Manufacture System (FMS) based on technical and economical criteria can be useful for producers to design FMS by considering the
Gregorius Satia Budhi
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