Results 91 to 100 of about 328,761 (312)

EVALUATING PERFORMANCE OF HYBRID NETWORKS BY USING LATENCY AND PDV

, 2020
Hybrid networks are widely used in networking sector. They combine the finest features of both Wired and Wireless networks to give optimum results. Using different types of routing protocols, the capabilities of a hybrid network will be demonstrated ...
DIXIT, ANUSHRI, ASHWINIKSHIRSAGAR, Mr., KOLTE, PROF. RAJESH, KOTHARI, JINAL   +3 more
core   +1 more source

Integracija digitalne radio-difuzne mreže mobilne televizije i ćelijske mreže treće generacije

Vojnotehnički Glasnik, 2013
U radu su prikazani rezultati istraživanja mogućnosti za integraciju radio-difuznih mreža za mobilnu televiziju i ćelijskih mreža treće generacije (3G). Analizirani su trendovi u pogledu razvoja usluge mobilne televizije, i dosadašnja istraživanja koja
Milan Manojle Šunjevarić, Milorad L. Popović, Branislav M. Todorović   +2 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

Advanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

A Hybrid Network Traffic Prediction Model Based on Optimized Neural Network

, 2017
With growth of networks, it's demanding to predict the development of network traffic. In this paper, we analyze the network traffic based on the hybrid neural network model.
Xiao Zhou, Hui Tian, Tian, H, Liu, J, Jingtian Liu, Zhou, X   +5 more
core   +1 more source

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction

, 2023
Urgent transition from the dependence on fossil fuels towards renewable energies requires more solar photovoltaic power to be connected to the electricity grids, with reliable supply through accurate solar radiation forecasting systems.
Sujan Ghimire, Deo, Ravinesh C., Casillas-Perez, David, Sancho Salcedo-Sanz, Bhandari, Binayak, David Casillas-Pérez, Ghimire, Sujan, Prasad, Ramendra, Ravinesh C. Deo, Thong Nguyen-Huy, Nguyen-Huy, Thong, Ramendra Prasad, Salcedo-sanz, Sancho, Binayak Bhandari   +13 more
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

CochleaSpecNet: An Attention-Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram

IEEE Access
Being one of the main communication medium, speech contains necessary information about the emotional state of a human. Accurate emotion recognition is crucial for enhancing human-machine interactions, highlighting the importance of a strong Speech ...
Atkia Anika Namey, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan   +3 more
doaj   +1 more source