Results 261 to 270 of about 8,464,096 (315)

Pacemaker Parameter Tuning using Crescendo

, 2015
Gamble, Carl, Mansfield, Martin, Fitzgerald, John, Larsen, Peter Gorm   +3 more
openaire   +1 more source

Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]

Sci Rep
Koziel S, Pietrenko-Dabrowska A, Szczepanski S.   +2 more
europepmc   +1 more source

Enhanced feature fusion with hand gesture recognition system for sign language accessibility to aid hearing and speech impaired individuals. [PDF]

Sci Rep
Alotaibi N, Al-Dayil R, Aljehane NO, Rizwanullah M.   +3 more
europepmc   +1 more source

Proximal guided hybrid federated learning approach with parameter efficient adaptive intelligence for pneumonia diagnosis. [PDF]

Sci Rep
P K, P S, Ar NK.
europepmc   +1 more source

Adaptive tuning of fractional order PID controllers for nonlinear processes using hybrid PSO DQN reinforcement learning. [PDF]

Sci Rep
Shahouni R, Bahraini M, Abrofarakh M, Abbasi M.   +3 more
europepmc   +1 more source

AI-discovered tuning laws explain neuronal population code geometry

Tilbury R, Kwon D, Haydaroğlu A, Ratliff J, Schmutz V, Carandini M, Miller K, Stachenfeld K, Harris KD.   +8 more
europepmc   +1 more source

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Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes

International Conference on Machine Learning, 2023
Pre-trained large language models (LLMs) need fine-tuning to improve their responsiveness to natural language instructions. Federated learning offers a way to fine-tune LLMs using the abundant data on end devices without compromising data privacy.
Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng   +5 more
semanticscholar   +1 more source

PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
Physical design flow through associated electronic design automation (EDA) tools plays an imperative role in the advanced integrated circuit design. Mostly, the parameters fed into physical design tools are mainly manually picked based on the domain ...
Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu   +4 more
semanticscholar   +1 more source

A Parameter Tuning Method for a Double-Sided Compensated IPT System With Constant-Voltage Output and Efficiency Optimization

IEEE transactions on power electronics, 2023
A parameter tuning method is critical for inductive power transfer (IPT) systems because it ensures constant output and reduces reactive power. This is especially true for the double-sided LCC (DS-LCC) compensated IPT system due to its high parameter ...
Yafei Chen, Jie Wu, Hailong Zhang, Leilei Guo, Falong Lu, Nan Jin, Dong-Hee Kim   +6 more
semanticscholar   +1 more source

Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of parameters, many natural language processing (NLP) tasks have ...
Lingling Xu, Haoran Xie, S. J. Qin, Xiaohui Tao, F. Wang   +4 more
semanticscholar   +1 more source