Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals
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(56)
Publication Date
Sun Aug 24 2014
Journal Name
Wireless Personal Communications
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Publication Date
Thu Dec 05 2019
Journal Name
Advances In Intelligent Systems And Computing
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Publication Date
Sat Dec 01 2018
Journal Name
Applied Soft Computing
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(10)
Publication Date
Sat Aug 25 2012
Journal Name
Wireless Personal Communications
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Publication Date
Sun Mar 01 2020
Journal Name
Computer Networks
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Publication Date
Thu Jan 30 2025
Journal Name
Iraqi Journal Of Science
Improving the Reliability of Evolutionary Algorithm for Complex Detection in Noisy Protein-Protein Interaction Networks
Complex detection
Evolutionary algorithm
Missing PPI
Modularity
Protein–protein interaction
Unreliable PPI.
Evolutionary algorithms are better than heuristic algorithms at finding protein complexes in protein-protein interaction networks (PPINs). Many of these algorithms depend on their standard frameworks, which are based on topology. Further, many of these algorithms have been exclusively examined on networks with only reliable interaction data. The main objective of this paper is to extend the design of the canonical and topological-based evolutionary algorithms suggested in the literature to cope with noisy PPINs. The design of the evolutionary algorithm is extended based on the functional domain of the proteins rather than on the topological domain of the PPIN. The gene ontology annotation in each molecular function, biological proce
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Publication Date
Sat Apr 01 2023
Journal Name
Digital Communications And Networks
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Publication Date
Sun Feb 01 2026
Journal Name
Energy
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Publication Date
Sat Mar 07 2026
Journal Name
Solvent Extraction Research And Development, Japan
Shedding Light on Thermodynamics and Physical Properties of Deep Eutectic Solvents for Separating Toluene-Heptane Mixtures Using COSMO-RS
A total of 150 deep eutectic solvents (DESs) with varying salt, hydrogen bond donor, and molar ratios were studied to develop a screening tool for separating toluene-heptane mixtures. The activity coefficient at infinite dilution (γ∞) of each DES was predicted using COSMO-RS, and selectivity (S∞), capacity (C∞), and performance index (PI) were calculated. Key DES properties, including density, viscosity, melting/freezing point, surface tension, and conductivity, were compiled from the literature to create a DES property library. A comprehensive screening tool with four evaluation criteria was developed, which identified ethyl triphenylphosphonium bromide:ZnCl2 (1:4) as the optimal solvent for toluene-heptane separation. Tetrabutyl- b
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Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research & Development
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