Micheal Olaolu Arowolo

Michael Olaolu Arowolo , PhD, is a renowned research scholar specializing in Bioinformatics, Artificial Intelligence, Deep Learning, Machine Learning, and Data Mining. He currently serves at the University of Missouri, USA. Dr. Arowolo's groundbreaking work involves unraveling complex biological systems through cutting-edge computational techniques. His PhD stands as a testament to his commitment to advancing knowledge. As an inspiring mentor, he cultivates the talents of future scientists. Driven by a passion for innovation, he continues to pioneer solutions that address pressing challenges in his field, making an indelible mark in academia and beyond.

Publications

Internet of Things (IoT): Concepts, Protocols, and Applications
Internet of Things (IoT): Concepts, Protocols, and Applications
Shabnam Kumari, Micheal Olaolu Arowolo. © 2024. 34 pages.
Today the internet of things (IoT) has witnessed significant advancements in recent years, revolutionizing the way we interact with technology and our surroundings. This work...
Breast Cancer Detection Using a PSO-ANN Machine Learning Technique
Breast Cancer Detection Using a PSO-ANN Machine Learning Technique
Marion Olubunmi Adebiyi, Jesutofunmi Onaope Afolayan, Micheal Olaolu Arowolo, Amit Kumar Tyagi, Ayodele Ariyo Adebiyi. © 2023. 21 pages.
Machine learning is employed in all facets of life. Breast cancer has been known to be the second most severe cancer that leads to death among women globally. The use of...
An Encryption and Decryption Model for Data Security Using Vigenere With Advanced Encryption Standard
An Encryption and Decryption Model for Data Security Using Vigenere With Advanced Encryption Standard
Udochukwu Iheanacho Erondu, Emmanuel Oluwatobi Asani, Michael Olaolu Arowolo, Amit Kumar Tyagi, Nehemiah Adebayo. © 2023. 19 pages.
As the amount of data being sent has risen dramatically in recent years; protecting that data has become increasingly important. Cryptography is the process of transforming plain...
A Review on Quantum Deep Machine Learning Model for Predicting Rice Husk Ash Compressive Strength
A Review on Quantum Deep Machine Learning Model for Predicting Rice Husk Ash Compressive Strength
Dorothy Blessing Agboola, Micheal Olaolu Arowolo, Amit Kumar Tyagi. © 2023. 18 pages.
Concrete formulation for qualities is difficult with advances in concrete science. Using rice husk ash as a partial substitute of cement is a strategy to lower the environmental...
Quantum Computing Significance on Multidimensional Data: R-Tree Search Based on Grover's Search Algorithm
Quantum Computing Significance on Multidimensional Data: R-Tree Search Based on Grover's Search Algorithm
T. Hema, Micheal Olaolu Arowolo. © 2023. 14 pages.
Quantum computing is an emerging field of study and gains importance due to the fact that with the introduction of quantum computers, many challenges and changes are presented...
A Review on Different Encryption and Decryption Approaches for Securing Data
A Review on Different Encryption and Decryption Approaches for Securing Data
Udochukwu Iheanacho Erondu, Nehemiah Adebayo, Micheal Olaolu Arowolo, Moses Kazeem Abiodun. © 2022. 14 pages.
With the advancement of network and multimedia technologies in recent years, multimedia data, particularly picture, audio, and video data, has become increasingly frequently used...