بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
element » elements (توسيع البحث)
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241
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242
Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
منشور في 2019احصل على النص الكامل
doctoralThesis -
243
Optimizing ADWIN for Steady Streams
منشور في 2022"…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …"
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احصل على النص الكامل
احصل على النص الكامل
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244
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
منشور في 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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245
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …"
احصل على النص الكامل
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246
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
منشور في 2024"…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"
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247
Evacuation of a highly congested urban city
منشور في 2017"…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
248
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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249
Shuffled Linear Regression with Erroneous Observations
منشور في 2019"…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
250
High-order parametrization of the hypergeometric-Meijer approximants
منشور في 2023"…<p>In this work, we introduce an extension to the hypergeometric algorithm we developed before for the resummation of divergent series.The extension overcome the time-consuming problem we face in the parametrization process of the hypergeometric approximants. …"
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251
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
منشور في 2015"…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
252
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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
253
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
منشور في 2023"…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
254
A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
منشور في 2019"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
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255
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
منشور في 2017احصل على النص الكامل
doctoralThesis -
256
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
منشور في 2022"…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"
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257
Topology and parameter estimation in power systems through inverter-based broadband stimulations
منشور في 2015"…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
258
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
منشور في 2019"…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"
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259
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
احصل على النص الكامل
article -
260
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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