Results 61 to 70 of about 227,550 (285)

Radiation from low-momentum zoom-whirl orbits

, 2010
We study zoom-whirl behaviour of equal mass, non-spinning black hole binaries in full general relativity. The magnitude of the linear momentum of the initial data is fixed to that of a quasi-circular orbit, and its direction is varied.
B Brügmann, Chandrasekhar S, Healy J Laguna P Matzner R A Shoemaker D M, Husa S, Pretorius F, R Gold, Wen L   +6 more
core   +1 more source

Fine-Tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models

Earth observation (EO) is crucial for monitoring environmental changes, responding to disasters, and managing natural resources. In this context, foundation models facilitate remote sensing image analysis to retrieve relevant geoinformation accurately and efficiently.
Marti-Escofet, Francesc, Blumenstiel, Benedikt, Scheibenreif, Linus, Fraccaro, Paolo, Schindler, Konrad   +4 more
openaire   +2 more sources

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

Machine Learning and Knowledge Extraction
Research and applications in artificial intelligence have recently shifted with the rise of large pretrained models, which deliver state-of-the-art results across numerous tasks.
Nermeen Abou Baker, David Rohrschneider, Uwe Handmann   +2 more
doaj   +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

Efficient Side-Tuning for Remote Sensing: A Low-Memory Fine-Tuning Framework

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fine-tuning pretrained models for remote sensing tasks often demands substantial computational resources. To reduce memory requirements and training costs, this article proposes a low-memory fine-tuning framework, called efficient side-tuning (EST), for ...
Haichen Yu, Wenxin Yin, Hanbo Bi, Chongyang Li, Yingchao Feng, Wenhui Diao, Xian Sun   +6 more
doaj   +1 more source

DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks [PDF]

, 2018
This paper proposes DeepMarks, a novel end-to-end framework for systematic fingerprinting in the context of Deep Learning (DL). Remarkable progress has been made in the area of deep learning.
Chen, Huili, Koushanfar, Farinaz, Rohani, Bita Darvish   +2 more
core   +1 more source

Parameter-Efficient Fine-Tuning for Foundation Models

25 pages, 6 figures, 7 ...
Zhang, Dan, Feng, Tao, Xue, Lilong, Wang, Yuandong, Dong, Yuxiao, Tang, Jie   +5 more
openaire   +2 more sources

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Advances in Neural Information Processing Systems 37
Popular parameter-efficient fine-tuning (PEFT) methods, such as LoRA and its variants, freeze pre-trained model weights \(W\) and inject learnable matrices \(ΔW\). These \(ΔW\) matrices are structured for efficient parameterization, often using techniques like low-rank approximations or scaling vectors.
Lingam, Vijay, Tejaswi, Atula, Vavre, Aditya, Shetty, Aneesh, Gudur, Gautham Krishna, Ghosh, Joydeep, Dimakis, Alex, Choi, Eunsol, Bojchevski, Aleksandar, Sanghavi, Sujay   +9 more
openaire   +2 more sources

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source