Suchergebnisse - Binary tunicate swarm algorithm

Binary tunicate swarm algorithm based novel feature selection framework for mammographic mass classification von Laishram, Romesh, Rabidas, Rinku

“… Feature selection is crucial for accurate breast cancer diagnosis in CAD solutions. Leveraging the success of metaheuristics, a novel binary tunicate swarm algorithm is proposed for feature selection …”
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Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network von Ganesan, Praveena, Ramesh, G. P., Falkowski-Gilski, Przemysław, Falkowska-Gilska, Bożena

“… Introduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is …”
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Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids

“… The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment …”
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Tunicate Henry gas solubility optimization‐based deep residual network for fruit ripeness classification von Arumugasamy, Muthulakshmi, Arokiasamy, Antonidoss

“… Features like color histogram, histogram of gradients, statistical features, local Gabor binary patterns, significant local binary pattern, and convolution neural network (CNN …”
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Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection von Laishram, Romesh, Rabidas, Rinku

“… Breast cancer is a grave concern among women due to its high mortality rate in women as compared to that in men. Mass, an early symptom of breast cancer, is …”
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SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification von Prabhakar, Sunil Kumar, Won, Dong-Ok

“… A common and natural physiological response of the human body is cough, which tries to push air and other wastage thoroughly from the airways. Due to …”
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NLP for computational insights into nutritional impacts on colorectal cancer care von Gong, Shengnan, Jin, Xiaohong, Guo, Yujie, Yu, Jie

“… ) techniques with Adaptive Tunicate Swarm Optimized Large Language Models (ATSO-LLMs) to present important insights into the part of the diet in CRC care across diverse populations …”
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A Hybrid Barnacles Mating Optimizer Algorithm With Support Vector Machines for Gene Selection of Microarray Cancer Classification von Houssein, Essam H., Abdelminaam, Diaa Salama, Hassan, Hager N., Al-Sayed, Mustafa M., Nabil, Emad

“… Bio-inspired metaheuristic optimization algorithms, when used to solve gene selection and classification problems, they demonstrate their effectiveness …”
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Analysis of Lung Cancer for Developing Smart Healthcare with the Help of BGWO Based TSA-XGBoost Model von R, Mahaveerakannan, S, Murali Dhar M, Goswami, Sohan, Krishna, P. Gopala, Jayanthi, K., Kumar, M. Sathish

“… Given the circumstances the healthcare system, the Internet of Things (IoT) is crucial. IoT gadgets offer patient data for the framework of healthcare …”
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Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification von Bhansali, Ashok, Patra, Rajkumar, Abouhawwash, Mohamed, Askar, S. S., Awasthy, Mohan, Rao, K. B. V. Brahma

“… Diabetic Retinopathy (DR) is a major type of eye defect that is caused by abnormalities in the blood vessels within the retinal tissue. Early detection by …”
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2-D canonical correlation analysis based image super-resolution scheme for facial emotion recognition von ullah, Zia, Qi, Lin, Binu, D., Rajakumar, B. R., Mohammed Ismail, B.

“… Subsequently, from the acquired facial regions, the most relevant features like proposed “Geometric Mean based Weighted Local Binary Pattern (GM-WLBP …”
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