Enhancing the Zebra Optimization Algorithm with Chaotic Sinusoidal Map for Versatile Optimization
D Anand, OI Khalaf… - Iraqi Journal For …, 2024 - ijcsm.researchcommons.org
In this study, the Chaotic Sinusoidal Map (CSM)-enhanced Zebra Optimization Algorithm
(CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization …
(CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization …
Enhancing heart disease diagnosis: Leveraging classification and ensemble machine learning techniques in healthcare decision-making
Cardiovascular disease is one of the main reasons for the demise of people in the world
today, whether it is a developed country or a developing country. It is not only affecting the …
today, whether it is a developed country or a developing country. It is not only affecting the …
Cotton leaf analysis based early plant disease detection using Machine Learning
P Salot, P Pancholi, H Rathod… - Journal of …, 2025 - pubs.thesciencein.org
The cultivation of cotton plays vital role for daily agricultural practices, as it is extensively
cultivated by a significant number of farmers. Early identification of crop diseases is essential …
cultivated by a significant number of farmers. Early identification of crop diseases is essential …
Enhancing radiographic image interpretation: WARES-PRS model for knee bone tumour detection
R Usuff, S Kothandapani, R Rangan… - … in Neural Systems, 2024 - Taylor & Francis
The early diagnosis of tumour is significant in biomedical research field to lower the severity
level and restrict the process extension from cancer. Moreover, the detection of early sign of …
level and restrict the process extension from cancer. Moreover, the detection of early sign of …
Image Segmentation Techniques for Bone Cancer Identification in X-ray and MRI Imagery
M Likitha, GI Shidaganti - 2024 Second International …, 2024 - ieeexplore.ieee.org
Integrating computer science with biology is crucial for advancing bone cancer diagnostics,
particularly in distinguishing between benign and malignant tumors in X-ray and MRI …
particularly in distinguishing between benign and malignant tumors in X-ray and MRI …
Exploring an IOT-based smart charging algorithm for electric vehicles considering multiprocessing
The transportation industry as a whole is now undergoing a transition towards more
environmentally friendly business practices, and electric vehicles (EVs) are an essential …
environmentally friendly business practices, and electric vehicles (EVs) are an essential …
Early detection of diabetes potential using cataract image processing approach
M Khairudin, R Mahaputra, W Wiharto, Y Mufidah… - SINERGI - neliti.com
Diabetes is a disease characterized by a high level of sugar in the blood. The disease
occurs because of a disruption in the metabolic system when insulin is not produced …
occurs because of a disruption in the metabolic system when insulin is not produced …
[引用][C] Deep learning Approach to Classify Cognitive Workload using Functional Connectivity Features
V Khemchandani, A Singh Chauhan… - … of Computing and …, 2024 - University of Bahrain
[引用][C] Classification and Ensemble Machine Learning Techniques to Improve Healthcare Decision Making For Heart Disease
N Kumar Sharma, A Singh Chauhan… - … of Computing and …, 2024 - University of Bahrain
[引用][C] Pro-Class Blockchain Framework for Precision Medicine and Clinical Trials: Buckle Up for Monitoring and Managing Data in Health Infrastructure
O Ibrahim Khalaf, B Singh, S Algburi… - International Journal of …, 2024 - University of Bahrain