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1
Computational evluation of protein energy functions
منشور في 2014"…Predicting these structures is guided by the requirement of minimizing the energy value associated with the protein structure. However, the energy functions proposed so far by biophysicists and biochemists are still in the exploration phase and their usefulness has been demonstrated only individually. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
2
Evolutionary algorithm for protein structure prediction
منشور في 2010"…A protein is characterized by its 3D structure, which defines its biological function. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
3
Evolutionary algorithm for predicting all-atom protein structure
منشور في 2011"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
4
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…"
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احصل على النص الكامل
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5
Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
6
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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7
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…The main objective of this paper is to apply GOA to estimate the optimal parameters of the Gaussian membership function in an IT2-FLS. The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. …"
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8
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9
Android Malware Detection Using Machine Learning
منشور في 2024"…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …"
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article -
10
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
احصل على النص الكامل
masterThesis -
11
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…Algorithms were tested using the test power system IEEE39. …"
احصل على النص الكامل
article -
12
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13
Learning continuous functions using decision tree learning algorithms
منشور في 2001احصل على النص الكامل
masterThesis -
14
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"
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15
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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16
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17
Scatter Search algorithm for Protein Structure Prediction
منشور في 2016"…Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D structure that aims to minimise the energy function associated with the structure. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
18
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19
New enumeration algorithm for regular boolean functions
منشور في 2018"…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
20
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
منشور في 2022"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …"