بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
current modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
uce algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
elements uce » elements _ (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
current modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
uce algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
elements uce » elements _ (توسيع البحث)
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121
Approximate XML structure validation based on document–grammar tree similarity
منشور في 2015"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
122
Proactive machine learning-based solution for advanced manageability of multi-persona mobile computing
منشور في 2019"…A dynamic programming algorithm is advocated to find the adequate strategies. …"
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article -
123
Approximate XML structure validation technical report
منشور في 2014"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
124
Precision nutrition: A systematic literature review
منشور في 2021"…As such, recent research has applied machine learning algorithms, tools, and techniques in precision nutrition for different purposes. …"
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125
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126
From Collatz Conjecture to chaos and hash function
منشور في 2023"…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
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127
Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques
منشور في 2022"…Heart disease can be caused by a range of factors, including a sedentary lifestyle, stress, alcohol, cigarette intake, and so on. The current prediction algorithms focus on forecasting the illness label though the likelihood of getting the condition is still unknown. …"
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128
Four quadrant robust quick response optimally efficient inverterfed induction motor drive
منشور في 1989"…An optimal efficiency calculator provides optimum flux and torque producing current, while a supervisory control eliminates the intricate boot-strap effect of the flux-torque loop. …"
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article -
129
Efficient XML Structural Similarity Detection using Sub-tree Commonalities
منشور في 2007"…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as ordered labeled trees. Nevertheless, a thorough investigation of current approaches led us to identify several unaddressed structural similarities, i.e. sub-tree related similarities, while comparing XML documents. …"
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conferenceObject -
130
Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment
منشور في 2022"…<p>To achieve net-zero in the transportation sector, there is a need to deploy public electric vehicle (EV) fast chargers to boost customer confidence. Currently, charge point operators and EV manufacturers focus on deploying chargers to cover highway networks and the progress in urban environments is inadequate. …"
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131
The Assessment and Allocation of Public Private Partnership Risks in the UAE
منشور في 2022احصل على النص الكامل
doctoralThesis -
132
Performance Prediction Using Classification
منشور في 2019"…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …"
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133
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
منشور في 1998احصل على النص الكامل
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masterThesis -
134
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
منشور في 2022"…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"
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135
Systematic reviews in sentiment analysis: a tertiary study
منشور في 2022"…Different features, algorithms, and datasets used in sentiment analysis models are mapped. …"
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136
Exploring AI Conversational Chatbot UX Design: Insights from High School
منشور في 2025"…Advancements in state-of-the-art models and algorithms for chatbots have significantly driven the growth and evolution of human–computer interaction (HCI) in recent years. …"
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137
Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine
منشور في 2025"…Ethical considerations, such as safeguarding patient privacy, ensuring data security, and mitigating algorithmic bias, underscore the importance of responsible AI integration. …"
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138
Data mining approach to predict student's selection of program majors
منشور في 2019"…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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139
An XML Document Comparison Framework
منشور في 2001"…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as Ordered Labeled Trees. Nevertheless, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficiently addressed while comparing XML documents. …"
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article -
140
Machine Learning Techniques for Pharmaceutical Bioinformatics
منشور في 2018"…In this matrix, each drug is represented by a vector of attributes from all other drugs. A predictive model is developed to predict drug indication as well as to predict new DDIs using multiple machine learning algorithms. …"
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