Results 61 to 70 of about 3,300 (231)
Advanced Intelligent Systems, EarlyView.A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Velocity‐based stowage policy for a semiautomated fulfillment system
Production and Operations Management, EarlyView., 2022 Abstract Online retail fulfillment is increasingly performed by semiautomated fulfillment systems in which inventory is stored in mobile pods that are moved by robotic drives. In this paper, we develop a model that explores the benefits of velocity‐based stowage policies for semiautomated fulfillment systems, also known as robotic mobile fulfillment ...
Tolga Cezik +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Optimization of load sharing for parallel compressors using a novel hybrid intelligent algorithm
Energy Science & Engineering, 2021 Compressor stations, which usually consist of multiple compressors in parallel, are installed to power natural gas travel in pipelines. Compressor station optimization, which should be expressed as a mixed integer nonlinear programming (MINLP) problem ...
Xia Li, Tao Cui, Kun Huang, Xin Ma
doaj +1 more source
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
Advanced Physics Research, EarlyView.This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source
A Joint Inventory and Transport Capacity Problem With Carbon Emissions
IEEE Access, 2020 This paper considers an inventory system consisting of one supplier and one retailer, and studies a joint inventory policy and transport capacity decision for this inventory system with carbon emissions.
Zhengyi Li, Jiangtao Hai
doaj +1 more source
Can Credit Rating Changes Affect Corporate Carbon Emissions? Some Evidence From the S&P 500
Business Strategy and the Environment, EarlyView.ABSTRACT Using panel data on US S&P 500 firms from 2012 to 2024, this study examines how credit rating changes affect corporate carbon performance. Drawing on the resource‐based view and prospect theory, we show that credit rating downgrades lead to a statistically and economically significant deterioration in emission reduction scores.
Michal Wojewodzki +4 more
wiley +1 more source
Bulletin of Computational Applied Mathematics, 2016 Inexact restoration (IR) is a well established technique for continuous minimization problems with constraints that can be applied to constrained optimization problems with specific structures.
Ernesto G. Birgin +2 more
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