Results 1 to 10 of about 18,932 (94)
hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms
Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural network architectures.
Thanh Tung Khuat, Bogdan Gabrys
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Evaluation of internet information about pneumothorax
To assess reliability and readability of online internet information on pneumothorax. The terms "pneumothorax", "tension pneumothorax", "collapsed lung" and, "chest tube" were searched in a search engine in 3 different geographic location via VPN.
Suphi̇ Aydin +2 more
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Optimal Decision Making in Electrical Systems Using an Asset Risk Management Framework
In this paper, a methodology for optimal decision making for electrical systems is addressed. This methodology seeks to identify and to prioritize the replacement and maintenance of a power asset fleet optimizing the return of investment.
David L. Alvarez +6 more
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Efficiency measures and productivity indexes in the context of university library benchmarking [PDF]
Data Envelopment Analysis (DEA) has attracted considerable attention during the last few decades as an intuitively clear method for performance assessment. Theoretical developments have taken turns with empirical efficiency studies. In this paper we empirically analyse performance differences across university li-braries from different countries from a
Reichmann, Gerhard +1 more
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Extending Protein Domain Boundary Predictors to Detect Discontinuous Domains. [PDF]
A variety of protein domain predictors were developed to predict protein domain boundaries in recent years, but most of them cannot predict discontinuous domains.
Zhidong Xue +4 more
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Purpose: To investigate the efficacy of YouTube videos as a patient education resource related to rehabilitation and return to play following medial patellofemoral ligament (MPFL) reconstruction.
Brendan O’Leary, B.S. +3 more
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The recent developments in deep learning techniques evolved to new heights in various domains and applications. The recognition, translation, and video generation of Sign Language (SL) still face huge challenges from the development perspective. Although
B. Natarajan +6 more
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RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting [PDF]
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep learning models, which were originally designed for binary segmentation ...
G. Ayzel, T. Scheffer, M. Heistermann
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Intelligent and efficient image retrieval from versatile image datasets is an inevitable requirement of the current era. Primitive image signatures are vital to reflect the visual attributes for content based image retrieval (CBIR).
Khawaja Tehseen Ahmed +4 more
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This study attempts to restructure a more innovative Sharia compliant product in Islamic home financing. By examining the components of residential rental index and addressing some unresolved issues particularly in Musyarakah Mutanaqisah, the study seeks
Akhmad Afffandi Mahfudz +4 more
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