The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis
Abstract
Biological data analysis is one of the most important and challenging tasks in today's world. Automated analysis of these data is necessary for quick and accurate diagnosis. Intelligent computing-based solutions are highly required to reduce the human intervention as well as time. Artificial intelligence-based methods are frequently used to analyze and mine information from biological data. There are several machine learning-based tools available, using which powerful and intelligent automated systems can be developed. In general, the amount and volume of this kind of data is quite huge and demands sophisticated tools that can efficiently handle this data and produce results within reasonable time by extracting useful information from big data. In this chapter, the authors have made a comprehensive study about different computer-aided automated methods and tools to analyze the different types of biological data. Moreover, this chapter gives an insight about various types of biological data and their real-life applications.
Related Content
|
Alessandra Lima da Silva, Diego Mariano, Mariana Parise, Angie L. A. Puelles, Tatiane Senna Bialves, Luana Luiza Bastos, Lucas Santos, Rafael Pereira Lemos.
© 2025.
22 pages.
|
|
Seyyed Mohammad Amin Mousavi Sagharchi, Mohsen Sheykhhasan, Atousa Ghorbani, Elina Afrazeh, Naresh Poondla, Naser Kalhor, Hamid Tanzadehpanah, Hanie Mahaki, Hamed Manoochehri.
© 2025.
46 pages.
|
|
Eduarda Guimarães Sousa, Lucas Gabriel Rodrigues Gomes, Fernanda Diniz Prates, Talita Pereira Gomes, Gabriel Camargos Gomes, Janaíne Aparecida de Paula, Ana Lua de Oliveira Vinhal, Bernardo Buhr Alves Mendonça, Mariana Letícia Costa Pedrosa, Luiza Pereira Reis, Aline Ferreira Maciel de Oliveira, Marcus Vinicius Canário Viana, Arun Kumar Jaiswal, Siomar de Castro Soares, Vasco Ariston de Carvalho Azevedo.
© 2025.
38 pages.
|
|
Diego Mariano, Lucas Moraes dos Santos, Raquel Cardoso de Melo-Minardi.
© 2025.
30 pages.
|
|
Alessandra G. Cioletti, Frederico C. Carvalho, Lucas M. Dos Santos, Raquel C. M. Minardi.
© 2025.
32 pages.
|
|
Leandro Morais de Oliveira, Luana Luiza Bastos, Vivian Morais Paixão, Leticia Aparecida Gontijo, Tatiane Senna Bialves, Diego Mariano, Raquel Cardoso de Melo Minardi.
© 2025.
40 pages.
|
|
Angie Atoche Puelles, Luana Luiza Bastos, Vivian Morais Paixão, Sheila Cruz Araujo, Raquel Cardoso de Melo Minardi.
© 2025.
28 pages.
|
|
|