Results 1 to 10 of about 5,977,377 (233)

QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals [PDF]

Scientific Reports
The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML).
Veysel Yusuf Cambay, Irem Tasci, Gulay Tasci, Rena Hajiyeva, Sengul Dogan, Turker Tuncer   +5 more
doaj   +4 more sources

Explainable Feature Engineering for Multi-Modal Tissue State Monitoring Based on Impedance Spectroscopy [PDF]

Sensors
One of the most promising approaches to food quality assessments is the use of impedance spectroscopy combined with machine learning. Thereby, feature selection is decisive for a high classification accuracy.
Mahdi Guermazi, Ahmed Yahia Kallel, Olfa Kanoun   +2 more
doaj   +4 more sources

Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images [PDF]

Sensors
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect various gastrointestinal diseases using a new ResNet50*-based deep feature engineering model with endoscopy images. The novelty of this work is the development
Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U. R. Acharya   +6 more
doaj   +4 more sources

Concrete strength prediction using domain-driven feature engineering and explainable LightGBM [PDF]

Scientific Reports
Accurately predicting the compressive strength of concrete is essential for optimizing mix designs, ensuring structural integrity, and reducing construction costs.
Ahmed Hereiz, Mennatullah Elsahy, Kenzy Hassan, Sara El-Metwally   +3 more
doaj   +2 more sources

Explainable machine learning and feature engineering applied to nanoindentation data

Materials & Design
The work aims to challenge the hegemony in the literature of clustering nanoindentation data solely relying on elastic modulus and hardness as features, thereby discarding information provided by the full load–displacement curve.
C.O.W. Trost, S. Žák, S. Schaffer, L. Walch, J. Zitz, T. Klünsner, H. Leitner, L. Exl, M.J. Cordill   +8 more
doaj   +3 more sources

Different pattern: a new EEG-based method for mental performance detection [PDF]

BMC Medical Informatics and Decision Making
Background This study focuses on detecting mental performance from EEG signals. It provides both classification and explanation results. For this purpose, we developed a new feature extraction method called Different Pattern (DiffPat) within an ...
Ugur Ince, Serkan Kirik, Irem Tasci, Prabal Datta Barua, Mehmet Baygin, Burak Tasci, Sengul Dogan, Turker Tuncer   +7 more
doaj   +2 more sources

DiagPat: An Explainable Language Detection Model Using EEG Signals [PDF]

Sensors
Electroencephalography (EEG) offers a non-invasive and cost-effective means of probing brain activity during language processing; however, prior EEG-based language studies have been limited by small datasets, a predominant focus on native-speaker or ...
Tugce Keles, Kubra Yildirim, Dahiru Tanko, Suat Tas, Irem Tasci, Burak Tasci, Gulay Tasci, Turker Tuncer, Sengul Dogan   +8 more
doaj   +2 more sources

Explainable Multi-Modal Medical Image Analysis Through Dual-Stream Multi-Feature Fusion and Class-Specific Selection

AI
Effective and transparent medical diagnosis relies on accurate and interpretable classification of medical images across multiple modalities. This paper introduces an explainable multi-modal image analysis framework based on a dual-stream architecture ...
Naeem Ullah, Ivanoe De Falco, Giovanna Sannino   +2 more
doaj   +3 more sources

Most complicated lock pattern-based seismological signal framework for automated earthquake detection

International Journal of Applied Earth Observations and Geoinformation, 2023
Background: Seismic signals record earthquakes and also noise from different sources. The influence of noise makes it difficult to interpret seismograph signals correctly.
Suat Gokhan Ozkaya, Nursena Baygin, Prabal D. Barua, Arvind R. Singh, Mohit Bajaj, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya   +9 more
doaj   +1 more source

Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI

Informatics in Medicine Unlocked, 2023
Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying each year. The identification and early diagnosis of CVD are critical in preventing adverse health outcomes.
Md Maruf Hossain, Md Shahin Ali, Md Mahfuz Ahmed, Md Rakibul Hasan Rakib, Moutushi Akter Kona, Sadia Afrin, Md Khairul Islam, Md Manjurul Ahsan, Sheikh Md Razibul Hasan Raj, Md Habibur Rahman   +9 more
doaj   +1 more source