Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Yekula Prasanna Kumar"'
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Akademický článek
Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food
Autor: Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar
Publikováno v: Journal of Food Quality, Vol 2022 (2022)
Skin cancer is one of the most common types of cancer that has a high mortality rate. Majorly, two types of skin cancer are the most common, which are melanoma and nonmelanoma skin cancer. Each year, approximately 55% of individuals die due to skin c
Externí odkaz: https://doaj.org/article/c09dda3482f9440391ade91bec04cd90
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4
Machine Learning-Based Intelligent Wireless Communication System for Solving Real-World Security Issues
Autor: Joel Alanya-Beltran, Roshani Raut, Sonali Patil, Y. Angeline Christobel, Prashant Vats, S. Nagaprasad, Yekula Prasanna Kumar
Publikováno v: Security and Communication Networks. 2022:1-6
The intelligent wireless system focuses on integrating with the advanced technologies like machine learning and related approaches in order to enhance the performance, productivity, and output. The implementation of machine learning approaches is mai
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03e86ce738a2a55144b4f43b0f61145
https://doi.org/10.1155/2022/7978822
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5
Identification and Classification of Depressed Mental State for End-User over Social Media
Autor: Akhilesh Kumar, Anuradha Thakare, Manisha Bhende, Amit Kumar Sinha, Arnold C. Alguno, Yekula Prasanna Kumar
Publikováno v: Computational Intelligence and Neuroscience. 2022:1-10
In researching social network data and depression, it is often necessary to manually label depressed and non-depressed users, which is time-consuming and labor-intensive. The aim of this study is that it explores the relationship between social netwo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5101c1d1735145e509ae515852f56507
https://doi.org/10.1155/2022/8755922
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6
Classification of Bioinformatics EEG Data Signals to Identify Depressed Brain State Using CNN Model
Autor: Anuradha Thakare, Manisha Bhende, Nabamita Deb, Sheshang Degadwala, Bhasker Pant, Yekula Prasanna Kumar
Publikováno v: BioMed Research International. 2022:1-9
Patients suffering from severe depression may be precisely assessed using online EEG categorization and their progress tracked over time, minimizing the risk of danger and suicide. Online EEG categorization systems, on the other hand, suffer addition
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96bee4ab8f218d19b37f2bbc40510b6c
https://doi.org/10.1155/2022/5214195
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8
A Metaheuristic Approach to Map Driving Pattern for Analyzing Driver Behavior Using Big Data Analysis
Autor: Meenakshi Malik, Rainu Nandal, Yudhvir Singh, Dheer Dhwaj Barak, Yekula Prasanna Kumar
Publikováno v: Mathematical Problems in Engineering.
The modern-day influx of vehicular traffic along with rapid expansion of roadways has made the selection of the best driver based on driving best practices an imperative, thus optimizing cost and ensuring safe arrival at the destination. A key factor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc427e255b9903f4894e6d27431418d8
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9
Vibration-based tool condition monitoring in milling of Ti-6Al-4V using an optimization model of GM(1,N) and SVM
Autor: Kaki Venkata Rao, Yekula Prasanna Kumar, Vijay K. Singh, Lam Suvrna Raju, Jinka Ranganayakulu
Publikováno v: The International Journal of Advanced Manufacturing Technology.
Titanium alloys are the difficult to cut metals due to their low thermal conductivity and chemical affinity with tool material. Since the tool vibration is a replica of tool wear and surface roughness, the present study has proposed a methodology for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b621c729937af86657b43fe48c34ce13
https://doi.org/10.1007/s00170-021-07280-3
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Plný text Recenzováno Digitální knihovna AV ČR
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