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Keyword: Feature Extraction
Research on Feature Extraction Method of Fiber Bragg Grating Vibration Monitoring Based on FFT
by Mengxing Zhang, Youming Hua, Chunbin Chen, Chenkun Chu and Xiuli Zhang
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 44-47, 2022; DOI: 10.55708/js0107007
Abstract: Optical fiber is used in various fields because of its advantages of large-capacity communication, long-distance transmission, low signal crosstalk, good confidentiality, anti-electromagnetic interference, good transmission quality, small size, light weight, and long life. In this paper, the latest research progress of optical fiber sensing technology and its application and development in the field of rotating… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Instruments and Instrumentation (INN))
Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network
by Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar and Mohammad Mahdi Borhan Elmi
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 44-52, 2024; DOI: 10.55708/js0307004
Abstract: Keratoconus is a noninflammatory disorder marked by gradual corneal thinning, distortion, and scarring. Vision is significantly distorted in advanced case, so an accurate diagnosis in early stages has a great importance and avoid complications after the refractive surgery. In this project, a novel approach for detecting Keratoconus from clinical images was presented. In this regard,… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
Enhancing Breast Cancer Detection through a Hybrid Approach of PCA and 1D CNN
by Samet Aymaz
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI: 10.55708/js0404003
Abstract: Breast cancer is a prevalent disease, particularly among women. Unlike many other cancers, early diagnosis and treatment can significantly improve patients’ quality of life. This study develops a hybrid approach for breast cancer detection using the Wisconsin datasets by combining Principal Component Analysis (PCA) and 1D Convolutional Neural Network (CNN) architectures to effectively separate and… Read More
(This article belongs to the Special Issue on SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Artificial Intelligence – Computer Science (AIC))
Classification of Rethinking Hyperspectral Images using 2D and 3D CNN with Channel and Spatial Attention: A Review
by Muhammad Ahsan Aslam, Muhammad Tariq Ali, Sunwan Nawaz, Saima Shahzadi and Muhammad Ali Fazal
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 22-32, 2023; DOI: 10.55708/js0204003
Abstract: It has been demonstrated that 3D Convolutional Neural Networks (CNN) are an effective technique for classifying hyperspectral images (HSI). Conventional 3D CNNs produce too many parameters to extract the spectral-spatial properties of HSIs. A channel service module and a spatial service module are utilized to optimize characteristic maps and enhance sorting performance in order to… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Machine Learning Aided Depression Detection in Community Dwellers
by Vijay Kumar, Muskan Khajuria and Anshu Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 17-24, 2022; DOI: 10.55708/js0105002
Abstract: Depression is a mental condition that can have serious negative effects on an individual’s thoughts and nd health problems that could lead to grave heart diseases. Depression detection has become necessary in community dwellers considering the lifestyle being followed. Here we use NHANES dataset to compare the performance of various machine learning algorithms in depression… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))