Results 141 to 150 of about 172,692 (312)

Continuous Stiffness Graded Metal–Ceramic Femoral Stems: UMAT‐Based Design and Finite Element Assessment

Advanced Engineering Materials, EarlyView.
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley   +1 more source

PATSMA: Parameter Auto-tuning for Shared Memory Algorithms

SoftwareX
Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when the ideal value for these parameters may change based on the execution context. These dynamic parameters significantly impact the program’s
Joao B. Fernandes, Felipe H. Santos-da-Silva, Tiago Barros, Italo A.S. Assis, Samuel Xavier-de-Souza   +4 more
doaj   +1 more source

Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials. [PDF]

Front Hum Neurosci, 2023
Martineau T, He S, Vaidyanathan R, Tan H.   +3 more
europepmc   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Development of an Online Adaptive Parameter Tuning vSLAM Algorithm for UAVs in GPS-Denied Environments. [PDF]

Sensors (Basel), 2022
Chen CL, He R, Peng CC.
europepmc   +1 more source

Tuning Parameter Selection for the Fused Lasso Signal Approximator [PDF]

, 2017
학위논문 (박사)-- 서울대학교 대학원 : 통계학과, 2017. 2. 임요한.In this thesis, we propose a two-stage tuning parameter selection procedure for the fused lasso signal approximator (FLSA).
손원
core  

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

DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning [PDF]

Prompt tuning (PT), where a small amount of trainable soft (continuous) prompt vectors is affixed to the model input, has shown promising results across various tasks and model architecture for parameter-efficient fine-tuning (PEFT).
Shi, Z, Lipani, A
core   +3 more sources

Stability analysis based parameter tuning of Social Group Optimization. [PDF]

Complex Intell Systems, 2022
Jena JJ, Dash SCB, Satapathy SC.
europepmc   +1 more source

Parameter-Efficient Fine-Tuning With Adapters

CoRR
In the arena of language model fine-tuning, the traditional approaches, such as Domain-Adaptive Pretraining (DAPT) and Task-Adaptive Pretraining (TAPT), although effective, but computational intensive. This research introduces a novel adaptation method utilizing the UniPELT framework as a base and added a PromptTuning Layer, which significantly reduces
Keyu Chen, Yuan Pang, Zi Yang
openaire   +2 more sources