Results 71 to 80 of about 90,566 (315)

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

open access: yesAdvanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

open access: yesAdvanced Intelligent Systems, EarlyView.
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song   +6 more
wiley   +1 more source

Deep Learning-Based Dynamic Bandwidth Allocation for Future Optical Access Networks

open access: yesIEEE Access, 2019
Over the last decade, Passive Optical Networks (PONs) have emerged as an ideal candidate for next-generation broadband access networks. Meanwhile, machine learning and more specifically deep learning has been regarded as a star technology for solving ...
John Abied Hatem   +2 more
doaj   +1 more source

A survey on OFDM-based elastic core optical networking [PDF]

open access: yes, 2013
Orthogonal frequency-division multiplexing (OFDM) is a modulation technology that has been widely adopted in many new and emerging broadband wireless and wireline communication systems.
De Leenheer, Marc   +3 more
core   +2 more sources

Copula‐Based Data Augmentation and Machine Learning for Predicting Tensile Strength of 3D‐Printed PLA Under Anisotropic Conditions

open access: yesJournal of Applied Polymer Science, EarlyView.
Experimental Characterization and Prediction of Mechanical Properties of Anisotropic PLA Samples. ABSTRACT In this study, 48 polylactic acid (PLA) samples were produced via 3D printing, incorporating four infill geometries (gyroid, lattice, honeycomb, and linear), four infill rates (15%–60%), and three printing directions (x, y, z).
Ahmet Saylık   +2 more
wiley   +1 more source

A Consensus‐Based Adaptive Hierarchical Control Strategy for Energy Storage Units in Electrolytic Hydrogen Production Systems

open access: yesBattery Energy, EarlyView.
A consensus‐based adaptive hierarchical control strategy is designed for parallel ESUs in DC electrolytic hydrogen production systems to achieve rapid SoC balancing, proportional load current sharing, and stable bus voltage recovery. ABSTRACT With the expansion of off‐grid hydrogen production systems, the randomness and volatility of renewable energy ...
Yancheng Liu   +6 more
wiley   +1 more source

Dynamic bandwidth allocation algorithm based on transmission rate adaptation

open access: yesTongxin xuebao, 2014
A dynamic bandwidth allocation algorithm was proposed based on the transmission rate adaptation to guaran-tee the quality of service (QoS) for multi-service in heterogeneous wireless network. According to the proposed transmis-sion rate priority decision
Geng CHEN, Wei-wei XIA, Lian-feng SHEN
doaj   +2 more sources

A Convex Decomposition Perspective on Dynamic Bandwidth Allocation and Applications

open access: yes, 2023
Tradicionalment, les tècniques d'accés múltiple en sistemes de comunicacions multi-usuari han estat desenvolupades o bé orientades a la connexió o bé orientades al tràfic. En el primer cas, l'objectiu és establir tants canals ortogonals com sigui possible per tal d'assignar-los als usuaris.
openaire   +4 more sources

A dynamic bandwidth allocator for virtual machines in a cloud environment [PDF]

open access: yes2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012
Cloud computing is an emergent paradigm that allows to customers to rent infrastructure, platforms and software as a service. With resource sharing and reuse through virtualization technology, cloud environments become even more effective and flexible.
Amamou, Ahmed   +3 more
openaire   +3 more sources

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

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