بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
non algorithm » rd algorithm (توسيع البحث), colony algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
non algorithm » rd algorithm (توسيع البحث), colony algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
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101
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102
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103
Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
منشور في 2021"…Therefore, big data analytics field emerged to tame the generated big data, and use it to provide useful insights to the world. …"
احصل على النص الكامل
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104
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…There are a variety of ways in which AI technology can aid in the growth and profitability of a variety of industries. Such data can be parsed using ML and AI approaches in designed to check attacks on CPSs. …"
احصل على النص الكامل
احصل على النص الكامل
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105
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …"
احصل على النص الكامل
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106
Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
منشور في 2020احصل على النص الكامل
masterThesis -
107
The Relation Between Respiratory & Acute Coronary Syndrome Using Data Mining Techniques
منشور في 2018"…The purpose of this study is to diagnose acute coronary syndrome using the widely available respiratory diagnosing tools and laboratory test results using data mining classification techniques (Decision tree, Gradient boosted tree, Neural Network, and Naïve Bias). …"
احصل على النص الكامل
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108
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
109
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
منشور في 2025"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
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110
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"
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111
Use-Case Based Early Software Effort Prediction using Fuzzy Logic and Genetic Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
112
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"
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113
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114
Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
115
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116
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117
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118
Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection
منشور في 2024"…In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
119
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120
The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…We demonstrated the applicability of feature engineering techniques such as data imputation, transformation (e.g., scaling, centering, etc.), and data balancing using several case studies and the proposed semi-automated framework. …"