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Keyword: Machine LearningImputation and Hyperparameter Optimization in Cancer Diagnosis
by Yi Liu, Wendy Wang and Haibo Wang
Journal of Engineering Research and Sciences, Volume 2, Issue 8, Page # 1-18, 2023; DOI: 10.55708/js0208001
Abstract: Cancer is one of the leading causes for death worldwide. Accurate and timely detection of cancer can save lives. As more machine learning algorithms and approaches have been applied in cancer diagnosis, there has been a need to analyze their performance. This study has compared the detection accuracy and speed of nineteen machine learning algorithms… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Medical Informatics (MDI))
NNR Artificial Intelligence Model in Azure for Bearing Prediction and Analysis
by Henry Ogbemudia Omoregbee, Mabel Usunobun Olanipekun and Bright Aghogho Edward
Journal of Engineering Research and Sciences, Volume 2, Issue 6, Page # 1-9, 2023; DOI: 10.55708/js0206001
Abstract: Neural Network regression (NNR) is considered more effective as compared to multiple neural networks model readily available in Azure to evaluate the Remaining Useful Life (RUL) of bearing in this work because it performs better than other models when used and was demonstrated as a non-programing technique for analyzing enormous data without the use of… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) 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))
Real-Time Acquisition and Classification of Electrocardiogram Signal
by Sheikh Md. Rabiul Islam, Akram Hossain and Asif Abdullah
Journal of Engineering Research and Sciences, Volume 1, Issue 11, Page # 8-15, 2022; DOI: 10.55708/js0111002
Abstract: Cardiovascular disease (CVD) is the leading cause of death. The transition in cardiovascular disease threatens the economies of the less developed world. An electrocardiogram (ECG) machine is a device that checks the patient's heart rhythm and electrical activity. ECG signals give crucial information about the heart and numerous cardiac problems, such as coronary artery disease,… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
IoT Based Smart Physiotherapy System: A Review
by Adil Ali Saleem, Kainat Zafar, Muhammad Amjad Raza, Zahid Kareem, Mui-zzud-din, Hafeez Ur Rehman Siddiqui and Sandra Dudley
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 45-55, 2022; DOI: 10.55708/js0110007
Abstract: During recent years, the increase in the ageing population, the ubiquity of chronic diseases in the world, and the development in technologies have resulted in high demand for efficient healthcare systems. Physical anomalies mostly caused by injury, disease, and ageing lead to limit the regular ability of people to move and function. Primary health care… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Neural Networks and Digital Arts: Some Reflections
by Rômulo Augusto Vieira Costa and Flávio Luiz Schiavoni
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 10-18, 2022; DOI: 10.55708/js0101002
Abstract: The Constant advancement in the area of machine learning has unified some areas that until then di a of computing with the arts in general. With the emergence of digital art, people have become increasingly interested in the development of expressive techniques and algorithms for creating works of art, whether in the form of music,… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Artificial Intelligence – Computer Science (AIC))