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Feature Engineering
In this chapter, we will introduce to you the key part in the algorithm competition that has the heaviest workload and that determines whether the...
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Feature Engineering for Text Representations
This chapter details the process of feature engineering with examples, an implementation in Python, and a complete explanation of the source code.
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Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network
The vehicular ad-hoc network is a technology that enables vehicles to interact with each other and the surrounding infrastructure, aiming to enhance...
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Discrete Wavelet Transform-based feature engineering for stock market prediction
Stock market prediction is an interesting area of research where Technical Indicators (TI) play an important role. However, prediction of stock...
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Electrocardiogram-based heart disease prediction using hybrid deep feature engineering with sequential deep classifier
Several approaches can detect early heart problems. Electrocardiograms (ECGs) are better and more affordable for early heart disease prediction. ECG...
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Swin-LBP: a competitive feature engineering model for urine sediment classification
Automated urine sediment analysis has become an essential part of diagnosing, monitoring, and treating various diseases that affect the urinary tract...
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Fake news detection: deep semantic representation with enhanced feature engineering
Due to the widespread use of social media, people are exposed to fake news and misinformation. Spreading fake news has adverse effects on both the...
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Emotion detection from ECG signals with different learning algorithms and automated feature engineering
Emotion recognition through physiological signals is of great importance for the examination of psychological states and the development of...
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Feature engineering of EEG applied to mental disorders: a systematic map** study
AbstractAround a third of the total population of Europe suffers from mental disorders. The use of electroencephalography (EEG) together with Machine...
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Feature Engineering and Supervised Learning
Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence and will help us...
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Automatic Feature Engineering Through Monte Carlo Tree Search
The performance of machine learning models depends heavily on the feature space and feature engineering. Although neural networks have made...
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AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
In 2023, Turkiye faced a series of devastating earthquakes and these earthquakes affected millions of people due to damaged constructions. These...
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Multi-layered perceptron based deep learning model for emotion extraction on monolingual text using intelligence feature engineering and filtering techniques
Text Sentiment Analysis (TSA) for blogs on major microblogging platforms has grown drastically and is also very important as a field of research...
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Evolutionary Automated Feature Engineering
Effective feature engineering serves as a prerequisite for many machine learning tasks. Feature engineering, which usually uses a series of...
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DNN-Based Knee OA Severity Prediction System: Pathologically Robust Feature Engineering Approach
Osteoarthritis (OA) is a common chronic health condition of bone joints. It gradually leads severe pain and disability. Over the last 2 decades, the...
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Engineering Drawing Text Detection via Better Feature Fusion
In recent years, text detection technology has advanced significantly. However, research on text detection of engineering drawings is lacking. The...
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Feature Engineering Techniques and Spatio-Temporal Data Processing
More and more applications nowadays use spatio-temporal data for different purposes. In order to be processed and used efficiently, this unique type...
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Feature Engineering Considerations in IoT: A Case Study
Since the emergence and integration of the Internet of Things, homes have become increasingly intelligent and communicative. These connected homes...
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Feature Engineering and Ensemble Learning-Based Classification of VPN and Non-VPN-Based Network Traffic over Temporal Features
With the rapid advancement in technology, the constant emergence of new applications and services has resulted in a drastic increase in Internet...
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Feature Location in Software Variants Toward Software Product Line Engineering
Feature location is the process of finding or locating a segment of code that implements a specific software function (i.e., feature). Feature...