بدائل البحث:
experimental model » experimental mouse (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
experimental model » experimental mouse (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
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81
Energy-aware adaptive compression for mobile devices. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
82
Digital Image Watermarking Using Balanced Multiwavelets
منشور في 2006"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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article -
83
Turbo-charging dominating set with an FPT subroutine
منشور في 2017احصل على النص الكامل
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conferenceObject -
84
Optimization metaheuristic for software testing
منشور في 2013"…SA evolves a solution by minimizing a function that is based on the contradictory objectives of coverage of events, diversity of events covered, and definite continuity of events. Our experimental results show that the proposed simultaneous-operation SA gives better results than an incremental SA version and significantly better than a greedy algorithm.…"
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احصل على النص الكامل
conferenceObject -
85
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
منشور في 2024"…Experimental results on four benchmark datasets show that our lean model approach improves text classification accuracy and is significantly more efficient compared with its deep model alternatives.…"
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احصل على النص الكامل
conferenceObject -
86
Mobile Robot Trajectory Tracking Using Neural Networks
منشور في 2009احصل على النص الكامل
doctoralThesis -
87
DAP: A dataset-agnostic predictor of neural network performance
منشور في 2024"…To this end, we propose a dataset-agnostic regression framework that uses a novel dual-LSTM model and a new dataset difficulty feature. The experimental results show that both tasks above are indeed feasible, and the proposed method outperforms the existing techniques in all experimental cases. …"
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88
Degree-Based Network Anonymization
منشور في 2020"…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. Our thorough experimental studies provide empirical evidence of the effectiveness of the new approach; by specifically showing that the introduced anonymization algorithm has a negligible effect on the way nodes are clustered, thereby preserving valuable network information while significantly improving the data privacy.…"
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masterThesis -
89
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
منشور في 2022"…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …"
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90
Novel RFID-Based Pose Estimation Using Single Stationary Antenna
منشور في 2016"…Our scheme is based on power map matching algorithm that is capable in estimating the location and orientation of objects. …"
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article -
91
A machine learning approach for localization in cellular environments
منشور في 2018"…This constitutes an improvement of 41%, 45%, and 16%, respectively, over the WKNN-only algorithm.…"
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conferenceObject -
92
Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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article -
93
Efficient Seismic Volume Compression using the Lifting Scheme
منشور في 2000"…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
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article -
94
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …"
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95
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
منشور في 2007احصل على النص الكامل
doctoralThesis -
96
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
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97
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98
RFID localization using single reader antenna. (c2014)
منشور في 2016"…Unlike conventional Power Map Matching schemes which create the map from actual measurements; the proposed Power Map is automatically generated based on a model. In this work we will justify the proposed Localization scheme analytically and provide numerical and experimental data to substantiate our methodology.…"
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masterThesis -
99
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
منشور في 2018"…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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article -
100
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
منشور في 2024"…Our model achieves high accuracy with R2 values of 95%, 94.2%, and 96.4% for DNN-GC, ANN-GC, and DNN-ANN-GC, respectively. …"