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model algorithm » mould algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
finding » findings (Expand Search)
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261
Positive Unlabelled Learning to Recognize Dishes as Named Entity
Published 2019“…This research has the potential to be extended to other topics other than food and dish names, also it acts as a framework and algorithm independent.…”
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262
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …”
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263
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Published 2024“…Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …”
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264
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Published 2020“…We also explore variational dropout: a technique that finds individual and unbounded dropout rates for each neural network weight. …”
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conferenceObject -
265
Robustness testing of composed real-time systems
Published 2010“…A RTCBS system is described as a collection of components where each component is modeled as a Timed Input-Output Automaton (TIOA). …”
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266
C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
Published 2023“…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …”
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267
Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
268
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …”
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269
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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270
A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining
Published 2021“…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
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271
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273
RFID localization using single reader antenna. (c2014)
Published 2016“…RFID became very popular since it is very cost effective and allowed for automating the process of collecting information about the asset and its. …”
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masterThesis -
274
Energy-aware adaptive compression for mobile devices. (c2009)
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masterThesis -
275
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Published 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. …”
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276
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…Based on emotional analysis, several deep learning techniques are applied to train and test the emotion classification process. Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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277
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
Published 2023“…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
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278
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …”
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conferenceObject -
279
A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
Published 2024“…Digital surface model data is used as an auxiliary variable to further scale down to 30 m resolution. …”
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280
The effects of data balancing approaches: A case study
Published 2023“…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…”