بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
based training » based learning (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
based training » based learning (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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321
SemIndex: Semantic-Aware Inverted Index
منشور في 2017"…We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. …"
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conferenceObject -
322
Automated quantification of penile curvature using artificial intelligence
منشور في 2022"…<h3>Objective</h3><p dir="ltr">To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.…"
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323
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
324
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325
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
منشور في 2024"…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. …"
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326
Automatic Video Summarization Using HEVC and CNN Features
منشور في 2022احصل على النص الكامل
doctoralThesis -
327
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
منشور في 2022"…However, existing studies usually utilize future data during the decomposition process and therefore cannot be appropriately employed for real-world applications, due to the inaccessibility of future data. …"
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328
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
منشور في 2024"…This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. The latter is trained using the gradient descent algorithm allowing to iteratively update the term-category matrix until reaching convergence. …"
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conferenceObject -
329
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…The performed experiments show that 60% of flow packets are a good compromise that ensures high performance in the least processing time. The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …"
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article -
330
Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE
منشور في 2023"…An integrated approach, featuring the application of advanced image processing techniques and geospatial analysis using machine learning, was adopted to characterise the site while automating the process and investigating its applicability. …"
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331
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
منشور في 2023"…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …"
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332
Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
منشور في 2024"…However, the ECG can be interpreted differently by humans depending on the interpreter's level of training and experience, which could make diagnosis more difficult. …"
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333
Intelligent Hybrid Feature Selection for Textual Sentiment Classification
منشور في 2021"…The selected sentiment features are further refined by applying a wrapper-based backward feature selection method. Finally, for textual sentiment classification, the well-known classification algorithms Support Vector Machine (SVM), Naive Bayes (NB), Generalized Linear Model (GLM) are trained in the ensemble model on the refined sentiment feature set. …"
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334
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…<p>Promoting healthy discourse on community-based online platforms like Reddit can be challenging, especially when conversations show ominous signs of toxicity. …"
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335
Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet
منشور في 2025"…The EfficientBiLSTMNet model, which integrates the EfficientNet and BiLSTM layers, is trained on the preprocessed datasets. The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"
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336
Building power consumption datasets: Survey, taxonomy and future directions
منشور في 2020"…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …"
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337
Extreme Early Image Recognition Using Event-Based Vision
منشور في 2023"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"
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338
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
منشور في 2022"…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …"
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339
DASSI: differential architecture search for splice identification from DNA sequences
منشور في 2022"…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …"
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340
DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
منشور في 2025"…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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article