بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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181
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
منشور في 2024الموضوعات: -
182
Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
منشور في 2024"…In the first part, we employ NLP techniques and machine learning algorithms to extract and analyze tweets containing keywords related to loneliness. …"
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183
Spider monkey optimizations: application review and results
منشور في 2024"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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184
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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185
Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"
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186
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187
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188
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
منشور في 2022"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. In this review, I describe the utility of AGEomics biomarkers and provide evidence why these are close to the phenotype of a condition or disease compared to other metabolites and metabolomic approaches and how to train and test algorithms for clinical diagnostic and screening applications with high accuracy, sensitivity and specificity using machine learning approaches.…"
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189
Learn while Tracking
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conferenceObject -
190
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191
Exploring the System Dynamics of Covid-19 in Emergency Medical Services
منشور في 2022"…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. …"
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masterThesis -
192
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
منشور في 2023"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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193
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 2019"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"
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194
Adaptive temperature control of a reverse flow process by using reinforcement learning approach
منشور في 2024"…First, a policy iteration algorithm is introduced to learn the optimal solution of the associated linear-quadratic control problem online. …"
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195
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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196
Data redundancy management for leaf-edges in connected environments
منشور في 2022"…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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article -
197
Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security
منشور في 2024"…Consequently, the proposed hybrid deep learning anomaly detection approaches not only enhance IoT security but also provide a robust control system for addressing emerging multivariate cyber threats.…"
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198
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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199
A hybrid graph representation for recursive backtracking algorithms
منشور في 2017"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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conferenceObject -
200
The effects of data balancing approaches: A case study
منشور في 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.…"