Recent Advances in Computer Science and Communications - Current Issue
Volume 18, Issue 3, 2025
- Thematic Issue on Medical Image Analysis and Health Informatics
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Infrared Image Human Target Detection Method Based on Deep Learning
By Le ZhangIntroductionIn this study, we investigate human target detection techniques for infrared target recognition in complicated backdrops using deep learning approaches. This study uses the human target detection of infrared images in various scenes as its research object.MethodsA test was conducted using MatlabR2010a and the real-time C language development platform. The findings indicate that, in the unoptimized case, Read More
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CNN-based Integrated Framework for Enhanced Diabetic Retinopathy Detection
Authors: Chitra R, Anusha Bamini A M, Punitha S, Thompson Stephan and Sheshikala MarthaBackgroundDiabetic Retinopathy (DR), a significant cause of vision loss globally, is characterized by retinal damage caused by diabetes. Early detection is vital to prevent irreversible blindness, yet challenges remain in accurately identifying DR stages and enhancing blood vessel visibility in fundus images. This paper aims to develop an early detection methodology for DR, addressing the need for early diagnosis and the diffic Read More
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Comparative Analysis of Different Transport Layer Protocol Techniques Incognitive Network
Authors: Ajay Kumar and Naveen HemrajaniMost of the networks employ TCP protocol for transmission control in transport mechanism. Although it offers numerous services such as reliability, end-to-end delivery, secure transmission of data, and so on to applications functioning across the World Wide Web, TCP needs to have effective congestion management techniques in order to handle traffic with a lot of data. Still, TCP have poor performance during data transmissi Read More
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Modeling of Interpretable Fuzzy Rule-based System for the Classification of Thyroid Disease
Authors: Shashi Kant, Devendra Agarwal and Praveen Kumar ShuklaIntroductionThe ability of fuzzy rule-based systems to handle the imprecision and uncertainty present in real-world problems is quite impressive. The assessment of any fuzzy rule-based system in itself is a complex task because its performance is dependent on two parameters, namely accuracy and interpretability. Accuracy is assessed based on quantitative results, whereas interpretability is entirely subjective and may Read More
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Machine Learning Empowered Breast Cancer Diagnosis: Insights from Coimbra Dataset Analysis
Authors: Manish Tiwari, Nagendra Singh, Arvind Mewada and Mohd. Aquib AnsariAimThe aim of this work is to succinctly communicate the key aspects of a research study on breast cancer. This includes highlighting the global impact and prevalence of breast cancer, emphasizing the challenges of early diagnosis, discussing the potential of technological advancements, and showcasing the role of machine learning algorithms in the context of liver cancer diagnosis.BackgroundCancer, notably breast canc Read More
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Supervised Learning based E-mail/ SMS Spam Classifier
Authors: Satendra Kumar, Raj Kumar and Ashish SainiBackgroundOne of the challenging problems facing the modern Internet is spam, which can annoy individual customers and wreak financial havoc on businesses. Spam communications target customers without their permission and clog their mailboxes. They consume more time and organizational resources when checking for and deleting spam. Even though most web users openly dislike spam, enough are willing to Read More
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Innovation in Knowledge Economy: A Case Study of 3D Printing's Rise in Global Markets and India
Authors: Aman Semalty and Rajat AgrawalIntroduction3D printing is a rapidly growing technology with features of enhanced customizability, reduced errors, zero material waste, reduced costs, and quick turnaround times. In this work, the data were collected from the Derwent Innovation and Web of Science databases for patent and publication search, respectively.MethodsThe results were critically analysed and correlated with the global and Indian market growth. US Read More
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