بدائل البحث:
using algorithms » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
-
101
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
احصل على النص الكامل
-
102
-
103
-
104
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"
-
105
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
منشور في 2007احصل على النص الكامل
masterThesis -
106
A matheuristic approach for solving the 2-connected dominating set problem
منشور في 2019"…<p dir="ltr">This paper describes a matheuristic approach for solving the 2-connected dominating set problem (2-CDS). …"
-
107
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
احصل على النص الكامل
article -
108
-
109
Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
احصل على النص الكامل
احصل على النص الكامل
article -
110
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
-
111
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
-
112
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
-
113
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
-
114
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
115
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
منشور في 2021"…The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. …"
-
116
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. …"
-
117
Power-constrained system-on-a-chip test scheduling using a genetic algorithm
منشور في 2006"…The problem is solved using a "sessionless" scheme that minimizes the number of idle test slots. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
118
-
119
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. …"
-
120