Results 81 to 90 of about 606,186 (241)

Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment

IEEE Access, 2020
Single-cell RNA-sequencing (scRNA-seq) data provide opportunities to reveal new insights into many biological problems such as elucidating cell types. An effective approach to elucidate cell types in complex tissues is to partition the cells into several
Xiao Zheng, Jiajia Chen, Chang Tang, Suqin Zhou   +3 more
doaj   +1 more source

Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels [PDF]

, 2005
In this paper we propose two distinct enhancements to the basic ''bag-of-keypoints" image categorisation scheme proposed in [4]. In this approach images are represented as a variable sized set of local image features (keypoints).
Farquhar, J, Meng, H, Shawe-Taylor, J, Szedmak, S   +3 more
core  

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

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

Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations

Engineering Proceedings
This study investigates optimal training intervals for small hydro power regression models, crucial for accurate forecasts in diverse conditions, particularly focusing on Portugal’s small hydro portfolio.
Duarte Lopes, Isabel Preto, David Freire
doaj   +1 more source

An Analysis Method of Crowd Abnormal Behavior for Video Service Robot

IEEE Access, 2019
Abnormal behavior analysis in crowded scenes is a challenging task in the computer vision field. Determining how to quickly and accurately locate abnormal behavior in a crowd, especially in airports, shopping malls, stations, and other practical ...
Shuqiang Guo, Qianlong Bai, Song Gao, Yaoyao Zhang, Aiquan Li   +4 more
doaj   +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

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization. [PDF]

Comput Intell Neurosci, 2023
Qiu J, Xu H, Zhu X, Adjeisah M.
europepmc   +1 more source

RegPT: Direct and fast calculation of regularized cosmological power spectrum at two-loop order

, 2012
We present a specific prescription for the calculation of cosmological power spectra, exploited here at two-loop order in perturbation theory (PT), based on the multi-point propagator expansion.
Atsushi Taruya, Francis Bernardeau, L. Van Waerbeke, Sandrine Codis, T. Nishimichi, Takahiro Nishimichi   +5 more
core   +3 more sources