Results 71 to 80 of about 1,262,485 (305)

GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces

IEEE Access, 2020
The design productivity of fine-tuning for vibrotactile stimuli becomes important as consumer devices equipped with vibrotactile actuators will become wide-spread.
Yusuke Ujitoko, Yuki Ban, Koichi Hirota
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method

Journal of Advanced Research, 2020
This study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance.
Necati Ozbey, Celaleddin Yeroglu, Baris Baykant Alagoz, Norbert Herencsar, Aslihan Kartci, Roman Sotner   +5 more
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Exploration of Whisper fine-tuning strategies for low-resource ASR

EURASIP Journal on Audio, Speech, and Music Processing
Limited data availability remains a significant challenge for Whisper’s low-resource speech recognition performance, falling short of practical application requirements.
Yunpeng Liu, Xukui Yang, Dan Qu
doaj   +1 more source

Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models

Journal of High Energy Physics, 2017
The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories.
Peter Athron, Csaba Balazs, Benjamin Farmer, Andrew Fowlie, Dylan Harries, Doyoun Kim   +5 more
doaj   +1 more source

A semi-automated design of instance-based fuzzy parameter tuning for metaheuristics based on decision tree induction

, 2015
Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metaheuristics: Parameter Tuning Strategies (PTS) and Parameter Control Strategies (PCS).
Ries, Jana, Beullens, Patrick
core   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

A noise tolerant fine tuning algorithm for the Naïve Bayesian learning algorithm

Journal of King Saud University: Computer and Information Sciences, 2014
This work improves on the FTNB algorithm to make it more tolerant to noise. The FTNB algorithm augments the Naïve Bayesian (NB) learning algorithm with a fine-tuning stage in an attempt to find better estimations of the probability terms involved.
Khalil El Hindi
doaj   +1 more source

Four Problems about Self-Locating Evidence [PDF]

, 2007
I argue that four problems that appear to be very different have the same structure. I give a unified treatment of the Doomsday Argument, Sleeping Beauty, the Fine-tuning Argument and confirmation in the Everett interpretation of quantum mechanics.
Bradley, D. J.
core