Results 101 to 110 of about 13,455 (261)

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

ABMS-Driven Reinforcement Learning for Dynamic Resource Allocation in Mass Casualty Incidents

Future Internet
This paper introduces a novel framework that integrates reinforcement learning with declarative modeling and mathematical optimization for dynamic resource allocation during mass casualty incidents.
Ionuț Murarețu, Alexandra Vultureanu-Albiși, Sorin Ilie, Costin Bădică   +3 more
doaj   +1 more source

Pointlike Material Accumulation and Displacement in Azopolymer Thin Films Driven by Spatial Light Modulation

Advanced Optical Materials, EarlyView.
A maskless, SLM‐driven approach enables the deterministic inscription of arbitrary topographical features in azopolymer films by mapping complex vectorial light fields onto local viscoplastic stress. This platform allows for the rapid generation and dynamic erasure of high‐aspect‐ratio micro‐spikes, offering a versatile tool for reconfigurable flat ...
Jonas Strobelt, Nikolai Liubimtsev, Marina Saphiannikova, Svetlana Santer   +3 more
wiley   +1 more source

High‐Stress Si3N4 Reflective Membranes Monolithically Integrated With Cavity Bragg Mirrors

Advanced Optical Materials, EarlyView.
Silicon nitride membranes are record‐breaking mechanical sensors, yet their delicate fabrication and alignment into precision optical cavities have confined them to the laboratory. A monolithic process directly integrates suspended high‐stress Si3N4${\rm Si}_{3}{\rm N}_4$ membranes onto Bragg mirrors, forming self‐aligned optomechanical cavities in ...
Megha Khokhar, Lucas Norder, Paolo M. Sberna, Richard A. Norte   +3 more
wiley   +1 more source

Using Mathematical Programming to Analyze and Improve Robust Queue Management in Healthcare Systems

International Journal of Applied Mathematics and Computing
Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service ...
openaire   +1 more source

Karush-Kuhn-Tucker conditions and Lagrangian approach for improving machine learning techniques: A survey and new developments

Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
In this work we propose new proofs of some classical results of nonlinear programming milestones, in particular for the Kuhn-Tucker conditions and Lagrangian methods and functions.
Tiziana Ciano, Massimiliano Ferrara
doaj   +1 more source

A Multi-Objective Systems Engineering Framework for Agricultural Logistics Under Operational and Social Complexity

Mathematics
Background: Agricultural logistics in arid, geographically dispersed areas require complex trade-offs among efficiency, equity, and robustness under uncertainty.
Amir Karbassi Yazdi
doaj   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Efficient and Robust Standing Postures of Quadruped Robots

Advanced Robotics Research, EarlyView.
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan, Hamza Jomaa, Jack Challita, Kawthar Zaidan, Riad Saab, Hussein Hussein   +5 more
wiley   +1 more source