Intelligent epileptic seizure detection and classification model using optimal deep canonical sparse autoencoder

AM Hilal, AA Albraikan, S Dhahbi, MK Nour… - Biology, 2022 - mdpi.com
Simple Summary Epileptic seizures are a chronic and persistent neurological illness that
mainly affects the human brain. Since the traditional way of diagnosing epileptic seizures is …

A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making

Q Zhang, A Huang, L Shao, P Wu, AA Heidari… - Journal of …, 2022 - Elsevier
Accurately identifying viruses from bacteria determine the therapy and outcome of patients
suffering from pneumonia. This study focuses on exploring the capability of machine …

A systematic survey of fuzzy deep learning for uncertain medical data

Y Zheng, Z Xu, T Wu, Z Yi - Artificial Intelligence Review, 2024 - Springer
Intelligent medical industry is in a rapid stage of development around the world, followed by
are the expanding market size and basic theories of intelligent medical diagnosis and …

A dual attention-guided 3D convolution network for automatic segmentation of prostate and tumor

Y Li, M Huang, Y Zhang, S Feng, J Chen… - … Signal Processing and …, 2023 - Elsevier
Background In middle-aged and older men, prostate cancer (PCa) is a common tumor
disease with a mortality rate second only to lung cancer. The automatic and accurate …

Deep convolutional neural network with symbiotic organism search-based human activity recognition for cognitive health assessment

M Alonazi, HM Alshahrani, F Kouki, NS Almalki… - Biomimetics, 2023 - mdpi.com
Cognitive assessment plays a vital role in clinical care and research fields related to
cognitive aging and cognitive health. Lately, researchers have worked towards providing …

Computational Intelligence with Wild Horse Optimization Based Object Recognition and Classification Model for Autonomous Driving Systems

E Alabdulkreem, JS Alzahrani, N Nemri, O Alharbi… - Applied Sciences, 2022 - mdpi.com
Presently, autonomous systems have gained considerable attention in several fields such as
transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure …

Prostate classification network (PC-Net) for automated classification of Prostate cancer in Magnetic resonance imaging

M Juneja, SK Saini, K Sharma, P Jindal - Multimedia Tools and …, 2024 - Springer
Prostate cancer (PCa) is found to be the second most common cause of death in men after
lung cancer, making it necessary to diagnose as early as possible. The major modality used …

Brain Tumor Classification Using Image Fusion and EFPA-SVM Classifier.

PP Rajeena, R Sivakumar - Intelligent Automation & Soft …, 2023 - search.ebscohost.com
An accurate and early diagnosis of brain tumors based on medical imaging modalities is of
great interest because brain tumors are a harmful threat to a person's health worldwide …

[HTML][HTML] Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated …

MM Jibril, UJ Muhammad, M Adamu, YE Ibrahim… - AIP Advances, 2024 - pubs.aip.org
Predicting concrete's compressive strength (CS) is a crucial and challenging task in civil
engineering as it directly impacts the longevity and structural integrity of infrastructure …

Prostate Cancer Classification using Cat Swarm Optimization with Deep Learning on MRI Images

V Haritha, KV Archana… - 2023 7th …, 2023 - ieeexplore.ieee.org
Prostate Cancer (PC) is a common malignancy amongst men globally, and accurate
classification plays a significant part in its diagnoses and treatment planning. Due to its …