Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis

GS Nijaguna, JA Babu, BD Parameshachari… - Applied Soft …, 2023 - Elsevier
Medical data are present in large amount and this is difficult to process for the diagnosis and
Healthcare organization requires effective technique to handle big data. Existing techniques …

Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson's disease

UK Lilhore, S Dalal, N Faujdar, M Margala… - Scientific Reports, 2023 - nature.com
The patients' vocal Parkinson's disease (PD) changes could be identified early on, allowing
for management before physically incapacitating symptoms appear. In this work, static as …

Text‐Based Emotion Recognition Using Deep Learning Approach

SK Bharti, S Varadhaganapathy… - Computational …, 2022 - Wiley Online Library
Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions
towards a given goal, such as people, activities, organizations, services, subjects, and …

Application of machine learning for cardiovascular disease risk prediction

S Dalal, P Goel, EM Onyema, A Alharbi… - Computational …, 2023 - Wiley Online Library
Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …

Optimal guidance whale optimization algorithm and hybrid deep learning networks for land use land cover classification

VN Vinaykumar, JA Babu, J Frnda - EURASIP Journal on Advances in …, 2023 - Springer
Satellite Image classification provides information about land use land cover (LULC) and
this is required in many applications such as Urban planning and environmental monitoring …

Towards modeling raw speech in gender identification of children using sincNet over ERB scale

K Radha, M Bansal - International Journal of Speech Technology, 2023 - Springer
This article reveals the results of age-dependent gender identification from raw speech
using the recently developed non-native children's English speech corpus. Convolutional …

Region‐Based Segmentation and Classification for Ovarian Cancer Detection Using Convolution Neural Network

LK Hema, R Manikandan, M Alhomrani… - Contrast media & …, 2022 - Wiley Online Library
Ovarian cancer is a serious sickness for elderly women. According to data, it is the seventh
leading cause of death in women as well as the fifth most frequent disease worldwide. Many …

Assessment of dynamic swarm heterogeneous clustering in cognitive radio sensor networks

R Bhatt, EM Onyema, KK Almuzaini… - Wireless …, 2022 - Wiley Online Library
Many optimization algorithms have been created to determine the most energy‐efficient
transmission mode, allowing for lower power consumption during transmission over shorter …

An improved defect recognition framework for casting based on DETR algorithm

L Zhang, S Yan, J Hong, Q Xie, F Zhou… - Journal of Iron and Steel …, 2023 - Springer
The current casting surface defect detection algorithms suffer from poor small target defect
recognition and imbalance between detection performance and detection time. An improved …

Improved UNet deep learning model for automatic detection of lung cancer nodules

V Kumar, BR Altahan, T Rasheed… - Computational …, 2023 - Wiley Online Library
Uncontrolled cell growth in the two spongy lung organs in the chest is the most prevalent
kind of cancer. When cells from the lungs spread to other tissues and organs, this is referred …