بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
maya algorithm » jaya algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level modeling » event modeling (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
maya algorithm » jaya algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level modeling » event modeling (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
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101
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions
منشور في 2024"…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"
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102
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
منشور في 2021"…Data extracted from the included studies were synthesized narratively.…"
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103
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the data-set. Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. …"
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104
Autonomous Demand-Side Management in the Future Smart Grid
منشور في 2016احصل على النص الكامل
doctoralThesis -
105
An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services
منشور في 2018"…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …"
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106
A method for data path synthesis using neural networks
منشور في 2017"…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
107
Regression testing web services-based applications
منشور في 2006"…In our technique, a web application and the behavior of its composed components are specified by a two-level abstract model represented as a Timed Labeled Transition System. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
108
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
منشور في 2006"…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
109
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110
Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
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111
Mechanical perturbation control of cardiac alternans
منشور في 2018"…We analyze the effects of mechanical perturbation on the dynamics of amap model that couples themembrane voltage and active tension systems at the cellular level. …"
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article -
112
AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION
منشور في 2020"…This convenient tool for designing combinational logic circuits models at a high level of abstraction and much of the procedure is automated. …"
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article -
113
Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques
منشور في 2020"…A spamicity score was awarded to each of the IoT devices by the algorithm, based on the feature importance and the root mean square error score of the machine learning models to determine the trustworthiness of the device in the home network. …"
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114
Measuring ripple effect for object-oriented programs. (c2004)
منشور في 2004احصل على النص الكامل
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masterThesis -
115
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
منشور في 2021"…In this paper, the focus is on the problem of optimal scheduling of an electric bus (EB) fleet to cover a public transport timetable. The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. …"
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116
Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors
منشور في 2016"…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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article -
117
UML-based regression testing for OO software
منشور في 2010"…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
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احصل على النص الكامل
article -
118
Degree-Based Network Anonymization
منشور في 2020"…In this thesis, we study a new multi- objective parameterized anonymization approach that generalizes the known degree anonymization problem and attempts at improving it as a more realistic model for data security/privacy. Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
119
An automated temporal partitioning tool for a class of DSP applications
منشور في 1998"…We present an automated temporal partitioning tool for developing dynamical ly recon gurable designs starting from behavior level speci cations for a class of dsp applications. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
120
Performance Prediction Using Classification
منشور في 2019"…Principal component analysis and feature selection by weights using information gain ratio, Gini index, correlation and PCA is used to determine the relevant predictors of the datasets used. This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. …"
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