Results 141 to 150 of about 8,464,096 (315)

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

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

Advanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund, Arthur Schulz, Peter Lunkenheimer, Maryana Kraft, Thomas Bergler, Harald Oberhofer, Dirk Volkmer   +6 more
wiley   +1 more source

Lottery Rank-Pruning Adaptation Parameter Efficient Fine-Tuning

Mathematics
Recent studies on parameter-efficient fine-tuning (PEFT) have introduced effective and efficient methods for fine-tuning large language models (LLMs) on downstream tasks using fewer parameters than required by full fine-tuning.
Juhyeong Kim, Gyunyeop Kim, Sangwoo Kang
doaj   +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

Analyzing Electronic Excitations and Exciton Binding Energies in Y6 Films

Advanced Functional Materials, EarlyView.
The Y6 molecule is used for increasing the efficiency of organic solar cells. The exciton binding energy is calculated for ensembles of Y6 molecules that are representative of the typically used films. The calculations show that the excitons typically spread out over many molecules.
Sahar Javaid Akram, Sophie Meißner, Stephan Kümmel   +2 more
wiley   +1 more source

Efficient and Robust Parameter Tuning for Heuristic Algorithms

International Journal of Industrial Engineering and Production Research, 2013
The main advantage of heuristic or metaheuristic algorithms compared to exact optimization methods is their ability in handling large-scale instances within a reasonable time, albeit at the expense of losing a guarantee for achieving the optimal solution.
Hossein Akbaripour, Ellips Masehian
doaj  

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

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

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

Enhancing Optoelectronic Properties in Phthalocyanine‐Based SURMOFs: Synthesis of ABAB Linkers by Avoiding Statistical Condensation with Tailored Building Blocks

Advanced Functional Materials, EarlyView.
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer, Mareen Stahlberger, Xiaojing Liu, Yi Luo, Niklas E. Häußermann, Puja Singhvi, Yidong Liu, Olaf Fuhr, Martin Nieger, Lars Heinke, Thomas Heine, Christof Wöll, Stefan Bräse   +12 more
wiley   +1 more source

Knowledge-based expedited parameter tuning of microwave passives by means of design requirement management and variable-resolution EM simulations. [PDF]

Sci Rep, 2023
Koziel S, Pietrenko-Dabrowska A, Raef AG.   +2 more
europepmc   +1 more source