Power Management Strategy and Sizing Optimization Techniques for Hybrid Energy Systems Considering Feature Selection: Mini Review
AA Ahmed, OA Abd Al Aziz, N Yasser - مجلة شمال إفريقيا للنشر العلمي …, 2023 - najsp.com
This paper proposes a supervision system control called Power Management Strategy
(PMS) that optimizes the performance of a system while minimizing its energy consumption …
(PMS) that optimizes the performance of a system while minimizing its energy consumption …
[HTML][HTML] DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
Breast ultrasound medical images often have low imaging quality along with unclear target
boundaries. These issues make it challenging for physicians to accurately identify and …
boundaries. These issues make it challenging for physicians to accurately identify and …
[HTML][HTML] A multi-stage approach to breast cancer classification using histopathology images
A Bagchi, P Pramanik, R Sarkar - Diagnostics, 2022 - mdpi.com
Breast cancer is one of the deadliest diseases worldwide among women. Early diagnosis
and proper treatment can save many lives. Breast image analysis is a popular method for …
and proper treatment can save many lives. Breast image analysis is a popular method for …
Breast Cancer-Risk Factors and Prediction Using Machine-Learning Algorithms and Data Source: A Review of Literature
Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial
disease, and identifying its risk factors is crucial for early detection and effective treatment …
disease, and identifying its risk factors is crucial for early detection and effective treatment …
[HTML][HTML] DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images
Breast cancer remains a critical global concern, underscoring the urgent need for early
detection and accurate diagnosis to improve survival rates among women. Recent …
detection and accurate diagnosis to improve survival rates among women. Recent …
[HTML][HTML] Adaptive feature selection for active trachoma image classification
MS Zewudie, S Xiong, X Yu, X Wu… - Knowledge-Based …, 2024 - Elsevier
Trachoma is a neglected tropical eye disease caused by ocular strains of Chlamydia
trachomatis, which affects millions of people worldwide. To examine the eye for signs of …
trachomatis, which affects millions of people worldwide. To examine the eye for signs of …
Binary tunicate swarm algorithm based novel feature selection framework for mammographic mass classification
R Laishram, R Rabidas - Measurement, 2024 - Elsevier
The efficacy of a CAD system for mammographic mass classification depends on high-
quality features for maximum throughput. Feature selection is crucial for accurate breast …
quality features for maximum throughput. Feature selection is crucial for accurate breast …
Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis
Breast cancer is one of the most prevalent cancer types and the second leading cause of
death among women. But fortunately, early diagnosis and treatment of breast cancer …
death among women. But fortunately, early diagnosis and treatment of breast cancer …
HGANet-23: a novel architecture for human gait analysis based on deep neural network and improved satin bowerbird optimization
F Jahangir, MA Khan, R Damaševičius… - Signal, Image and Video …, 2024 - Springer
Human gait is an essential biometric feature in the area of computer vision research. Over
the past ten years, there has been a growing demand for a non-contact biometric approach …
the past ten years, there has been a growing demand for a non-contact biometric approach …
[PDF][PDF] An Analysis on Advances In Lung Cancer Diagnosis With Medical Imaging And Deep Learning Techniques: Challenges And Opportunities
V SHARIFF, C PARITALA, KM ANKALA - Journal of Theoretical and Applied …, 2023 - jatit.org
This abstract provides an overview of numerous studies on the identification and diagnosis
of lung cancer using medical imaging and deep learning. However, techniques like the …
of lung cancer using medical imaging and deep learning. However, techniques like the …