A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"

How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

الموضوعات:

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

الموضوعات:

Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

الموضوعات:

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

الموضوعات:

Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

"…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"

Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

الموضوعات: "…Data clustering…"

Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"

Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

الموضوعات: "…orthogonal learning (OL)…"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

Mining airline data for CRM strategies. (c2006) حسب Maalouf, Lena

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A collaborative filtering recommendation framework utilizing social networks حسب Aamir Fareed (17019087)

Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

الموضوعات: احصل على النص الكامل

Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

"…This paper deals with employing competitive learning neural network in RRVQ design algorithm that results in competitive learning RRVQ algorithm for the RVQ structure. …"
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

الموضوعات:

Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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