Abstract: Skin cancer stands as the most widespread form of cancer globally, and early detection significantly enhances its treatability. Even though deep learning techniques have greatly improved the ...

Abstract: Genetic algorithms (GA) are search engines that either optimize or reduce predefined functions. The technique of selection is an important phase in GA. This research study aims to evaluate, ...

This project provides a hands-on tutorial for understanding and implementing the Proximal Policy Optimization (PPO) algorithm to fine-tune Large Language Models (LLMs) using Reinforcement Learning (RL ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...