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... حسب Mohamed, AlShuweihi

"…The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …"
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Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

"…Hence, choosing a suitable method for term weighting is of major importance and can help increase the effectiveness of the classification task. In this study, we provide a novel text classification framework for Category-based Feature Engineering titled CFE. …"
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"

Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…In this context, we first propose in this thesis a model providing Intelligent Behavior- Aware Adaptation of Roles using Machine Learning Classification. The proposed scheme is capable of assessing the deployed access control polices and updating them systematically with new roles based on employees behaviors and system constraints. …"
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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

"…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …"

Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"

Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…Our proposed ANFIS based severity classifier using both MNSI variables and EMG features will help health professionals to diagnose and stratify DSPN severity based on both signs and symptoms and electrophysiological changes due to DSPN.…"

AN ALGORITHM FOR IRIS IDENTIFICATION USING FOURIER DESCRIPTORS حسب Deriche, M.

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A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study حسب Grant, Alex R.

"…To better assess coseismic landslide hazard on a regional scale a new terrain classification system is proposed. First, the landscape is divided into classes based on possible modes of failure, defining kinematically admissible regions, followed by mode-of-failure specific hazard analyses (strength admissibility) within each region. …"
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Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images حسب Rehan Raza (17019105)

"…In the present article, we proposed a novel transfer learning-based predictor called, Lung-EffNet for lung cancer classification. …"

Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"

Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation حسب Attieh, Joseph

"…The model produces category-based feature vector representations that are used to augment the document representations and perform the classification task. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …"
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A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems حسب Devinder Kaur (264278)

Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

"…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …"
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Identification of phantom movements with an ensemble learning approach حسب Akhan Akbulut (17380285)

"…In the current study, we utilized ensemble learning algorithms for the recognition and classification of phantom movements of the different amputation levels of the upper and lower extremity. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…ResultMost traditional machine learning algorithms achieved distinction accuracies of over 99 percent, whereas DeepRaman demonstrated an exceptional accuracy of 100 percent. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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