Improved photocatalytic degradation of methyl violet dye and pathogenic bacteria using g-C3N4 supported phosphotungstic acid heterojunction
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(31)
Publication Date
Fri Jan 01 2016
Journal Name
Journal Of Materials And Environmental Science
Publication Date
Wed Aug 10 2016
Journal Name
Fourth International Conference On Genetics And Scientific Environment. Cairo / Arab Republic Of Egypt For The Period From July 23 To 30
Publication Date
Sun Jul 08 2018
Journal Name
Journal Of Global Pharma Technology
Publication Date
Thu Mar 18 2021
Journal Name
Review Of International Geographical Education Online
Chomsky's Political Views as a Case Study in a Critical Discourse Analysis of Ideology in the Iraqi Wars
APDBN Rashid, Review of International Geographical Education Online (RIGEO), 2021
Publication Date
Sun Feb 02 2025
Journal Name
Modern Sport
Publication Date
Mon Nov 02 2020
Journal Name
International Journal Of Pharmaceutical Research
Publication Date
Fri May 19 2017
Journal Name
International Journal Of Environment, Agriculture And Biotechnology 2 (4 …
Publication Date
Mon Jun 01 2009
Journal Name
Al-khwarizmi Engineering Journal
Study the Effect Different Radioactive Dose on Mechanical Properties of Composite Material from Novolak Resin Exposure to High – Energy Radiation
The research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.
The impregnation method is used in test sample preparation, using molding by pressure presses.
All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.
The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad
... Show MorePublication Date
Sat Sep 30 2023
Journal Name
Iraqi Journal Of Science
An Integrated Information Gain with A Black Hole Algorithm for Feature Selection: A Case Study of E-mail Spam Filtering
E-mail Spam Filtering
Black Hole Algorithm
Feature Selection
Naïve Bayesian Classifier
The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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Publication Date
Thu Jul 01 2021
Journal Name
University Of Northampton Pue
Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep
motion wearable sensors
sensor data mining
supervised machine learning
CART ensemble classifier
sheep lameness detection
sheep behaviour classification