Computational Intelligence Techniques for Behavioral Research on the Analysis of Investment Decisions in the Commercial Realty Market

Ramana, S. Siva Venkata; Mydhili, T.; Siddardha, Ponduri; Charyulu, Gomatam Mohana; Saikumar, K.

doi:10.1007/978-981-99-5354-7_3

Cited by 2 publications

(1 citation statement)

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“…Segmentation of Pulmonary Nodules has been explained. The majority of previous works have focused on the segmentation of solid nodules [27]. Some alternative approaches have been proposed for the segmentation of non-solid nodules [28], with only one approach addressing the segmentation of solid, part-solid, and non-solid nodules [29].…”

Section: • Challenges Encountered In Primary Retrieval and Classifica...mentioning

confidence: 99%

Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis

Y Padma

2024

cana

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Content-Based Image Retrieval (CBIR) systems have witnessed significant advancements in recent years, particularly in the domain of medical image analysis. This paper provides an introductory overview of these advancements in CBIR systems tailored for medical image analysis. The evolution of CBIR techniques and their applications in the medical field are discussed, highlighting their importance in tasks such as diagnosis, treatment planning, and research. Various modalities of medical imaging, including X-rays, CT scans, MRI, and PET, are addressed in the context of CBIR systems. Lung cancer incidence rates vary across regions, with the highest rates observed in North America, Europe, Eastern Asia, and South America, and the lowest rates in certain geographic areas. Moreover, the integration of machine learning and deep learning approaches in CBIR systems is explored, emphasizing their role in enhancing image retrieval accuracy and efficiency. Additionally, challenges and future directions in the development and deployment of CBIR systems for medical image analysis are discussed, providing insights into potential avenues for further research and innovation in this rapidly evolving field.

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Section: • Challenges Encountered In Primary Retrieval and Classifica...mentioning

confidence: 99%

Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis

Y Padma

2024

cana

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A Dynamic Approach to Cyber Risk Assessment for Critical Information Infrastructure

Chadalawada,

Rao,

Khlaif

et al. 2023

2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)

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Computational Intelligence Techniques for Behavioral Research on the Analysis of Investment Decisions in the Commercial Realty Market

Cited by 2 publications

References 20 publications

Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis

Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis

A Dynamic Approach to Cyber Risk Assessment for Critical Information Infrastructure

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