Results 171 to 180 of about 481,157 (359)

A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems

J. Parallel Distributed Comput., 2001
Tracy D. Braun, H. Siegel, Noah Beck, Ladislau Bölöni, Muthucumaru Maheswaran, A. Reuther, J. Robertson, M. Theys, Bin Yao, D. Hensgen, R. F. Freund   +10 more
semanticscholar   +1 more source

A Soft Wearable Robot for Vertical Jump Enhancement via a Pneumatic Energy‐Storing Propulsion Actuator and Triarticular Kinetic‐Chained Structure

Advanced Intelligent Systems, EarlyView.
The Jump‐Enhancing Textile Suit integrates the Pneumatic Energy‐Storing Propulsion Actuator (PESPA) and the Triarticular Kinetic‐Chained Structure (TKiCS). PESPA stores elastic energy under pneumatic pressure and releases it during the propulsive phase to augment movement.
Sunghun Kim, HyukJun Seo, Hyeonjung Kim, Seung Ryeol Lee, Namho Kim, Dongjun Shin   +5 more
wiley   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

Advanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim, Juhyung Ahn, Jieun Seo, Steve Park, Joo Yong Sim   +4 more
wiley   +1 more source

Exploring Semantic Filtering Heuristics For Efficient Claim Verification [PDF]

Max Upravitelev, Premtim Sahitaj, Arthur Hilbert, Veronika Solopova, Yang Jing, Nils Feldhus, Tatiana Anikina, Simon Ostermann, Vera Schmitt   +8 more
openalex   +1 more source

Local Branching Relaxation Heuristics for Integer Linear Programs [PDF]

, 2022
Taoan Huang, Aaron Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner   +4 more
openalex   +1 more source

How to Solve It: Modern Heuristics

Springer Berlin Heidelberg, 2000
Z. Michalewicz, D. Fogel
semanticscholar   +1 more source

Metalearning‐Driven Inverse Optimization for Precision Microstructure Fabrication in Digital Light Processing Three‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi, Suhyeong Lim, Jeongsu Lee, Cheol Woo Ha   +3 more
wiley   +1 more source

Interactive Tool for Customizing Hydrogel Properties in Practical Applications

Advanced Intelligent Systems, EarlyView.
This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego, Carlos M. Andreu, Sergio Pozuelo‐Campos, Raúl Martín‐Martín, Irene García‐Camacha Gutiérrez, Ester Vázquez   +5 more
wiley   +1 more source

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

Advanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu, Haotian Li, Chongjian Yuan, Xiyuan Liu, Jiarong Lin, Rundong Li, Chunran Zheng, Bingyang Zhou, Wenyi Liu, Fu Zhang   +9 more
wiley   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source