بدائل البحث:
setting algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
setting algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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461
MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks
منشور في 2009"…Numerical analysis and experimental evaluations using the network simulation software ns2 were performed to derive the lower and upper bounds of the confidence interval for the mean hop count between the source node of the data request, on one hand, and the node that holds the desired data and the last node in the set of search nodes, on the other hand. …"
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article -
462
Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration
منشور في 0000"…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …"
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article -
463
Optimizing ADWIN for Steady Streams
منشور في 2022"…First, we compare the original Adaptive Window (ADWIN) and its variants: Serial, HalfCut, and Optimistic in terms of drift detection accuracy, detec tion speed, and memory consumption, represented in the internal window size. We compare them using synthetic data sets cover ing different types of concept drifts, namely: incremental, gradual, abrupt, and steady. …"
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464
High-order parametrization of the hypergeometric-Meijer approximants
منشور في 2023"…We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …"
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465
Benchmarking Concept Drift Detectors for Online Machine Learning
منشور في 2022"…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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466
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
منشور في 2018"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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article -
467
A new approach and faster exact methods for the maximum common subgraph problem
منشور في 2017"…A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …"
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conferenceObject -
468
Phased Array Technique for Brain Source Localization
منشور في 2012احصل على النص الكامل
doctoralThesis -
469
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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masterThesis -
470
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
471
Regression Testing of Database Applications
منشور في 2002"…The Call Graph Firewall algorithm uses a firewall for the inter-procedural level. …"
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article -
472
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"
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473
Video features with impact on user quality of experience
منشور في 2021"…The feature evaluation is performed first using forward elimination feature selection algorithm, and second using decision tree classification to extract and sort the features that highly affect the subjective QoE. …"
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conferenceObject -
474
Cross entropy error function in neural networks
منشور في 2002"…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …"
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conferenceObject -
475
Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles
منشور في 2017"…The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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article -
476
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
منشور في 2021"…Two studies focused on the pediatric population, and the rest focused on adults (45/47, 96%). Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). …"
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477
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
منشور في 2021"…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …"
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478
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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479
Automated skills assessment in open surgery: A scoping review
منشور في 2025"…In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …"
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480
Online Control and Optimization of Directional Drilling
منشور في 2020"…The proposed controller design problem is formulated as an optimization problem for optimal settings of the controller feedback gains. Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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masterThesis