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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
spatial modeling » statistical modeling (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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61
Efficient Seismic Volume Compression using the Lifting Scheme
Published 2000“…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…”
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62
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
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doctoralThesis -
63
Multigrid solvers in reconfigurable hardware. (c2006)
Published 2006Get full text
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masterThesis -
64
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
Published 2023“…To this end, we first characterize a detailed three-dimensional (3D) modeling of the dynamic UAV-assisted HetNet, by taking into account the random positions of small cell base stations (SBSs), spatial angles between THz links, real antenna pattern, and UAV’s vibrations in the 3D space. …”
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65
Downlink channel estimation for IMT-DS
Published 2001“…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
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66
Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
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doctoralThesis -
67
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
68
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Published 2019“…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …”
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69
Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization
Published 2021“…To evaluate the performance of the system, comprehensive models are developed including transient model for the abandoned oil well (geothermal loop) in spatial and time domains and thermodynamic and optimization models for the entire three-loop system. …”
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70
Performance Prediction Using Classification
Published 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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71
Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol
Published 2018“…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …”
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72
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
Published 2024“…Missing data were imputed with principal component analysis. …”
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73
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …”
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74
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. …”
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75
Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
Published 2015“…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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76
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…”
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77
Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …”
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78
Oversampling techniques for imbalanced data in regression
Published 2024“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”
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79
Blockchain-Based Decentralized Architecture for Software Version Control
Published 2023“…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …”
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80
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 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. …”