Results 11 to 20 of about 9,322,932 (385)

Development of a Model Using Data Mining Technique to Test, Predict and Obtain Knowledge from the Academics Results of Information Technology Students

open access: yesData, 2022
Due to the huge amount of data obtained from students’ academic results in most tertiary institutions such as the colleges, polytechnics and universities, data mining has become one of the most effective tools for discovering vital knowledge from ...
Wisam Ibrahim   +4 more
doaj   +1 more source

Program Synthesis for Program Analysis [PDF]

open access: yesACM Transactions on Programming Languages and Systems, 2018
In this article, we propose a unified framework for designing static analysers based on program synthesis . For this purpose, we identify a fragment of second-order logic with restricted quantification that is expressive enough to model numerous static analysis problems (e.g., safety proving,
Cristina David   +3 more
openaire   +5 more sources

Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms

open access: yesМоделирование и анализ информационных систем, 2020
To ensure traffic safety of railway transport, non-destructive test of rails is regularly carried out by using various approaches and methods, including eddy-current flaw detection methods.
Egor V. Kuzmin   +4 more
doaj   +1 more source

Decoding by linear programming [PDF]

open access: yesIEEE Transactions on Information Theory, 2005
This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl isin/R/sup n/ from corrupted measurements y=Af+e.
E. Candès, T. Tao
semanticscholar   +1 more source

PGC-1β maintains mitochondrial metabolism and restrains inflammatory gene expression

open access: yesScientific Reports, 2022
Metabolic programming of the innate immune cells known as dendritic cells (DCs) changes in response to different stimuli, influencing their function. While the mechanisms behind increased glycolytic metabolism in response to inflammatory stimuli are well-
Hannah Guak   +9 more
doaj   +1 more source

Using Linearizing Sets to Solve Multivariate Quadratic Equations in Algebraic Cryptanalysis

open access: yesIEEE Access, 2023
In this paper we describe a class of cryptographic guess-and-determine attacks which is based on the notion of a linearizing set. A linearizing set-based attack is applied to a system of Multivariate Quadratic equations (MQ) over $GF(2)$ field, which ...
Alexander Semenov   +3 more
doaj   +1 more source

Classification of the presence of malignant lesions on mammogram using deep learning [PDF]

open access: yesDigital Diagnostics
BACKGROUND: Breast cancer is one of the leading causes of cancer-related mortality in women [1]. Regular mass screening with mammography plays a critical role in the early detection of changes in breast tissue.
Alisher A. Ibragimov   +5 more
doaj   +1 more source

The sensitivity of vegetation in the lower Tigris basin landscapes to regional and global climate variability

open access: yesPrzegląd Naukowy Inżynieria i Kształtowanie Środowiska, 2021
This study investigates the lower Tigris basin’s the normalized difference vegetation index (NDVI) sensitivity in 2000–2016 to regional climate variability reflected by the monthly precipitation and temperature time series of seven global datasets as ...
Ali S. Alhumaima, Sanjar M. Abdullaev
doaj   +1 more source

Programming in logic without logic programming [PDF]

open access: yes, 2015
In previous work, we proposed a logic-based framework in which computation is the execution of actions in an attempt to make reactive rules of the form if antecedent then consequent true in a canonical model of a logic program determined by an initial ...
Kowalski, Robert, Sadri, Fariba
core   +3 more sources

Stan: A Probabilistic Programming Language.

open access: yesJournal of Statistical Software, 2017
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants.
Bob Carpenter   +9 more
semanticscholar   +1 more source

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