Results 161 to 170 of about 2,974,123 (288)

Impact of the Process Atmosphere During Hot Isostatic Pressing on the Near‐Surface Composition of an Additively Manufactured Austenitic High‐Interstitial Steel

Advanced Engineering Materials, EarlyView.
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt, J. Hahn, J. Kimm, S. Weber, J. Lentz   +4 more
wiley   +1 more source

Enhancing 5G uplink communications through efficient PCC-OFDM with neural network-based channel estimation. [PDF]

Sci Rep
J MJ, S S.
europepmc   +1 more source

Microstructure‑Dependent Phase Transformations Under High‑Pressure Laser Heating in Additively Manufactured AlCrFe2Ni2

Advanced Engineering Materials, EarlyView.
Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika, Hunter Kantelis, Yogesh K. Vohra, Shengbiao Zhang, Wuxian Yang, Wen Chen   +5 more
wiley   +1 more source

A sparse wavelength aware learning framework for robust FSO channel estimation. [PDF]

Sci Rep
Senthilkumar S, Balakrishnan R, Irshad Ahamed M, Senthil Kumar T.   +3 more
europepmc   +1 more source

An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation. [PDF]

Sensors (Basel), 2023
Si L, Xu W, Yu X, Yin H.
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Model-Data Hybrid-Driven Wideband Channel Estimation for Beamspace Massive MIMO Systems. [PDF]

Entropy (Basel)
Nie Y, Ma Z, Jing L.
europepmc   +1 more source

Performance analysis of channel estimation techniques for IRS assisted MIMO. [PDF]

Sci Rep, 2023
Baye AE.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Adaptive Channel Estimation for Semi-Passive IRS with Optimized Sensor Deployment. [PDF]

Sensors (Basel)
Han Z, Wang H, Wang Y, Fan Z.
europepmc   +1 more source