The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...
Abstract: Lung cancer is one of the most prevalent diseases in the world. Early detection is necessary to prevent lung cancer. However, this conventional diagnosis performed by expert medical ...
Abstract: This research focuses on developing a complex framework for automatic diagnosis purposes of Alzheimer's disease from MRI brain data, with emphasis placed on advancement in accuracy towards ...
Abstract: With the emergence of the Satellite Internet of Things (S-IoT), mega-constellations are playing a pivotal role as the core communication infrastructure in large-scale connectivity scenarios.
Abstract: Data accomplishes astonishing sensation; however, the data's massiveness and distinctive features are obstacles to acquiring promising results. Feature selection (FS) algorithms can develop ...
Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.
Abstract: A significant natural threat, landslides take lives and damage infrastructure. Economic setbacks often follow. The complex interplay of external factors-like terrain attributes and data on ...
Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...
Abstract: Given that homework submissions are conducted electronically, plagiarism in distance education has become a prevalent issue. To provide tailored assignments for different learners while ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...
Abstract: Cervical cancer remains one of the leading causes of cancer-related mortality among women globally, particularly in developing regions with limited access to early diagnostic tools.[3] This ...
Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...
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