Abstract: This article presents the modeling of the inverse kinematics of a three-joint robotic arm using an adaptive neuro-fuzzy inference system (ANFIS). Traditionally, inverse kinematics uses ...

Abstract: The insulation ageing of cross-linked polyethylene (XLPE) power cables affects the reliability of electrical transmission systems. Traditional statistical and empirical models often fail to ...

The final, formatted version of the article will be published soon. This study addresses a critical challenge in paediatric healthcare: the prolonged diagnostic timeline for developmental disabilities ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...

Neuro-adaptive systems could sense hesitation, emerging quality decisions or degraded mental inputs that may lead to a negative outcome.

Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

A production-style machine learning inference API built with FastAPI and Docker. This service validates incoming requests, constructs features, runs a versioned ML model, and returns a real-time risk ...

This project addresses a critical defense technology challenge: automated detection of military drones in aerial surveillance systems. Unlike commercial drone detection, military UAV identification ...