Results 61 to 70 of about 112,229 (258)

Development of Graphical User Interface (GUI) for Surgery Assistance Application

Jurnal Kejuruteraan, 2023
Telemedicine is a technology that promotes patient engagement and makes healthcare more affordable and accessible. Telehealth technologies are used in healthcare settings such as teleconferencing, patient data transfer, and shared remote learning. However, current teleconferencing has limited ability to perform annotation on real-time videos.
Mardhiyah Md Jan, Nasharuddin Zainal, Siti Hajar Yusof   +2 more
openaire   +1 more source

An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments

Advanced Science, EarlyView.
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan, Yuxin Wang, Sen Ding, Bingpu Zhou, Yinning Zhou   +4 more
wiley   +1 more source

RGtk2: A Graphical User Interface Toolkit for R

Journal of Statistical Software, 2011
Graphical user interfaces (GUIs) are growing in popularity as a complement or alternative to the traditional command line interfaces to R. RGtk2 is an R package for creating GUIs in R.
Duncan Temple Lang, Michael Lawrence
doaj  

Theorema 2.0: A Graphical User Interface for a Mathematical Assistant System [PDF]

Electronic Proceedings in Theoretical Computer Science, 2013
Theorema 2.0 stands for a re-design including a complete re-implementation of the Theorema system, which was originally designed, developed, and implemented by Bruno Buchberger and his Theorema group at RISC. In this paper, we present the first prototype
Wolfgang Windsteiger
doaj   +1 more source

Study Of Spatial Biological Systems Using a Graphical User Interface [PDF]

, 2016
Proceedings of the Tenth International Conference on Human-Computer Interaction, Crete, Greece, 22-27 June 2003In this paper, we describe a Graphical User Interface (GUI) designed to manage large quantities of image data of a biological system.
Burroughs, NJ, Gaze, W, Tsibidis, GD, Wellington, L   +3 more
core  

Structure‐Dependent Resonant Frequency Engineering of Textile Tactile Sensors Toward Rapid and Precise Braille Recognition Surpassing Human Sensation

Advanced Science, EarlyView.
A resonant frequency engineering strategy is proposed to modulate the sensibility of piezoresistive textile‐based tactile sensor. It achieves simultaneous detection of static pressure and dynamic vibrations across an unprecedented bandwidth of 5–600 Hz, surpassing human sensation, therefore enables rapid and precise braille recognition.
Xianhong Zheng, Runrun Zhang, Yu Shi, Zhao Zhang, Guiyang Li, Zhengliang Shang, Xin Liu, Fan Zhao, Sheng Hu, Ran Xu, Shuai Wang, Zhiqi Zhao, Zhi Liu, Lihua Zou, Xu Han, Zongqian Wang, Wei Huang, Gengzhi Sun   +17 more
wiley   +1 more source

Designing a graphical user interface for a bilateral negotiation support system [PDF]

, 1992
Graphical User Interfaces (GUI) are quickly becoming the standard operating environment for most software programs and operating systems. Ease of use, rapid learning and the ability to retain complex task sequences and operations are some of the ...
Barber, Mark H., Richey, Paul R.
core  

Graphical User Interface (GUI) of GPS Data (Dumy Data)

IOP Conference Series: Materials Science and Engineering, 2018
Abstract Increasingly growing technology also develops software (software) for computers such as mission planner. This mission planner works to remotely control remote with telemetry support and GPS background to use graphical user interface (GUI) so that it can describe mapping of ship position existence and depth which have been passed
M Kholil, D Wahyudin
openaire   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source