Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices حسب Ahmed, Basem

"…In this article, we propose two new optimization algorithms based on the moth-flame optimization algorithm (MFO), which mimics moths’ special navigation methods at night. …"
احصل على النص الكامل
احصل على النص الكامل

A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation حسب Sawas, Abdullah M.

"…Feature sets extracted using different sized time windows are passed to successive stages of the tree. …"
احصل على النص الكامل

Automatic White Blood Cell Differential Classification حسب Al-Muhairy, Juma A. Bin Darwish

احصل على النص الكامل

Discrimination between genuine and acted expressions using EEG signals and machine learning حسب Alex, Meera

احصل على النص الكامل

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE حسب Ben Romdhane, Haifa

"…Results from SAR feature extraction and geospatial analyses showed detection of the areas on the site that were already under excavation and predicted new, hitherto unexplored archaeological areas. …"
احصل على النص الكامل

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…We proposed learning technique called fast discrete curvelet transform with wrapping (FDCT-WRP) to create feature set. This method is entitled extracting curve-like features and creating a feature set. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…<p>Fuel cell-based power generation is the most utilized renewable energy source in the automotive industry because of its features clean energy, and less environmental pollution. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…Fuel cell-based power generation is the most utilized renewable energy source in the automotive industry because of its features clean energy, and less environmental pollution. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …"

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE حسب Ben-Romdhane, Haïfa

"…Results from SAR feature extraction and geospatial analyses showed detection of the areas on the site that were already under excavation and predicted new, hitherto unexplored archaeological areas. …"
احصل على النص الكامل

Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices حسب Abu Doush, Iyad

"…Surprisingly, new features not mentioned in the literature are discovered and some are discarded. …"
احصل على النص الكامل
احصل على النص الكامل

The Green Sleepers of Tehran Park Bench Semiotics حسب Hosseinnia, Maryam

"…Therefore, eight-dimensional feature space has been developed. Finally, K-mean clustering algorithm has been implemented based on the extracted features of PD pulse shape and PD current waveform to define their clusters in the feature space. …"
احصل على النص الكامل
احصل على النص الكامل

Separation of Partial Discharge Faults in Metal-clad Switchgear Based on Pulse Shape Analysis حسب Hussain, Ghulam

"…Therefore, eight-dimensional feature space has been developed. Finally, K-mean clustering algorithm has been implemented based on the extracted features of PD pulse shape and PD current waveform to define their clusters in the feature space. …"
احصل على النص الكامل
احصل على النص الكامل

A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text حسب Haraty, Ramzi

"…Second, segmentation of handwritten Arabic text depends largely on contextual information, and not just on topographic features extracted from the characters.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001) حسب Hamid, Alaa A.

احصل على النص الكامل
احصل على النص الكامل

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

"…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. …"

ADD. (c2002) حسب Varjabedian, Ralph A.

احصل على النص الكامل
احصل على النص الكامل

Online dynamic ensemble deep random vector functional link neural network for forecasting حسب Ruobin Gao (16003195)

"…However, the original edRVFL is not designed for online learning, and the randomized nature of the features is harmful to extracting meaningful temporal features. …"

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…The most commonly used algorithm was random forest, followed by support vector machine.…"

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques حسب SALLOUM, SAID

"…The findings include that the main research area in phishing detection studies is feature extraction and selection, followed by methods for classifying and optimizing the detection of phishing emails. …"
احصل على النص الكامل
احصل على النص الكامل