Results 1 to 10 of about 67,072 (308)

An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification

open access: yesIEEE Access, 2021
Sentiment classification is increasingly used to automatically identify a positive or negative sentiment in a text review. In classification, feature selection had always been a critical and challenging problem.
Nur Syafiqah Mohd Nafis, Suryanti Awang
doaj   +1 more source

Rough Set Based Classification and Feature Selection Using Improved Harmony Search for Peptide Analysis and Prediction of Anti-HIV-1 Activities

open access: yesApplied Sciences, 2022
AIDS, which is caused by the most widespread HIV-1 virus, attacks the immune system of the human body, and despite the incredible endeavors for finding proficient medication strategies, the continuing spread of AIDS and claiming subsequent infections has
Bagyamathi Mathiyazhagan   +6 more
doaj   +1 more source

Ad-RuLer: A Novel Rule-Driven Data Synthesis Technique for Imbalanced Classification

open access: yesApplied Sciences, 2023
When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models.
Xiao Zhang   +4 more
doaj   +1 more source

Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Convolutional neural networks (CNNs) with the characteristics like spatial filtering, feed-forward mechanism, and back propagation-based learning are being widely used recently for remote sensing (RS) image classification.
Sankar K. Pal, Dasari Arun Kumar
doaj   +1 more source

Vehicle Type Classification Using an Enhanced Sparse-Filtered Convolutional Neural Network With Layer-Skipping Strategy

open access: yesIEEE Access, 2020
In this paper, a vehicle type classification approach is proposed by using an enhanced feature extraction technique based on Sparse-Filtered Convolutional Neural Network with Layer-Skipping strategy (SF-CNNLS).
Suryanti Awang   +2 more
doaj   +1 more source

Finding Neural Assemblies with Frequent Item Set Mining

open access: yesFrontiers in Neuroinformatics, 2013
Cell assemblies, defined as groups of neurons exhibiting precise spike coordination, were proposed as a model of network processing in the cortex. Considerable progress made in recent years in multi-electrode technology enables to record massively ...
David ePicado-Muiño   +6 more
doaj   +1 more source

Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning

open access: yesIEEE Access, 2021
Melanoma and non-melanoma skin cancers have shown a rapidly increasing incidence rate, pointing to skin cancer as a major problem for public health. When analyzing these lesions in dermoscopic images, the hairs and their shadows on the skin may occlude ...
Lidia Talavera-Martinez   +2 more
doaj   +1 more source

Experimental study of surface roughness in Electric Discharge Machining (EDM) based on Grey Relational Analysis

open access: yesMATEC Web of Conferences, 2016
Electric Discharge Machining (EDM) is one of the modern machining which is capable in handling hard and difficult-to-machine material. The successful of EDM basically depends on its performances such as surface roughness (Ra), material removal rate (MRR),
Mat Deris Ashanira   +3 more
doaj   +1 more source

A Hybrid Neural Network Approach for Kinematic Modeling of a Novel 6-UPS Parallel Human-Like Mastication Robot [PDF]

open access: yesIranian Journal of Medical Physics, 2016
Introduction we aimed to introduce a 6-universal-prismatic-spherical (UPS) parallel mechanism for the human jaw motion and theoretically evaluate its kinematic problem.
Hadi Kalani   +2 more
doaj   +1 more source

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