Results 131 to 140 of about 151,821 (357)

Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation

Advanced Functional Materials, EarlyView.
A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco, Leilei Song, Fan Liu, Yu‐Hsiang Lin, Venkatasubramanian Kalpathy Venkiteswaran, Hao Zeng, Sarthak Misra   +6 more
wiley   +1 more source

Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition

The Scientific World Journal, 2014
In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm.
Zhang XiuJun, Liu Chang
doaj   +1 more source

Timetabling in constraint logic programming

, 1996
In this paper we describe the timetabling problem and its solvability in a Constraint Logic Programming Language. A solution to the problem has been developed and implemented in ECLiPSe, since it deals with finite domains, it has well-defined ...
Kambi, M, Gilbert, D, Maria Kambi, David Gilbert   +3 more
core  

Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints [PDF]

, 2014
Sungjin Im, Janardhan Kulkarni, Kamesh Munagala   +2 more
openalex   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

An efficient dynamic programming algorithm for the generalized LCS problem with multiple substring inclusive constraints [PDF]

, 2015
Daxin Zhu, Lei Wang, Yingjie Wu, Xiaodong Wang   +3 more
openalex   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Maximum constraint satisfaction on diamonds [PDF]

In this paper we study the complexity of the (weighted) maximum constr aint satisfaction problem (Max CSP) over an arbitrary finite domain. In this pro blem, one is given a collection of weighted constraints on overlapping sets of v ariables, and the ...
Krokhin, Andrei, Larose, Benoit
core  

Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data [PDF]

, 2011
Vijay Bhaskar Semwal, K Susheel Kumar, Vinay S Bhaskar, Meenakshi Sati   +3 more
openalex   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source