Autonomous Vehicle (AV) systems demand precise and timely processing of perception, pre-diction, and planning components to ensure safe and efficient operation. However, evaluating these components in real-world environments ...

This report details Barkedo’s progress in its mission to revolutionize the pet care industry through strategic initiatives in event management and product development. During this quar- ter, the focus has been refined to ...

The original CBTOPE method, introduced in 2009, was one of the first approaches for predicting conformational B-cell epitopes using only protein sequence information. While it has been widely adopted in the scientific ...

This thesis presents a repository CancerPPD2, which is an updated version of CancerPPD, developed to maintain comprehensive information about An-ticancer peptides and proteins. It contains 6521 entries, each entry provides ...

Robify is an innovative educational and e-commerce platform designed to bridge the gap be- tween theoretical STEM knowledge and practical application through hands-on robotics and IoT learning solutions. Founded in 2023, ...

This work presents the building of the pipeline for the autonomous vehicle (AV). Our task was to combine perception models and tracking algorithms to get real-time detection and tracking of objects in diverse road environments. ...

Reinforcement Learning (RL) has gained significant traction as a powerful paradigm for solving sequential decision-making problems. This includes exceptional progress in autonomous vehicles [11, 17], algorithmic trading ...

In drug discovery, the accurate prediction of pharmacokinetic properties plays a crucial role in identifying compounds with favorable absorption, distribution, metabolism, and excretion profiles. Among these, the partition ...

The human gut microbiome plays a critical role in metabolism, immunity, and disease resistance, with its composition shifting notably with age. These changes have positioned the microbiome as a potential “biological clock” ...

Understanding the complex regulatory relationships between genes is central to conducting cellular functionality and disease. However, the inference of Gene Regulatory Networks (GRNs) from sparse single-cell RNA sequencing ...