Abstract: This study aims to identify the main research gaps in Environmental, Social, and Governance (ESG) score prediction using Machine Learning (ML). To achieve this, a qualitative approach is ...

A sophisticated, cross-platform keylogger written in Python with advanced features including AES-256 encryption, silent background operation, automatic startup/restart capabilities, and daily log ...

A robust, machine learning-powered tool for detecting and bypassing Web Application Firewalls (WAFs) with functional reinforcement learning, comprehensive testing, and clean architecture. Core ML ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: This work explores the integration of machine learning models to predict the return loss of a microstrip antenna operating at 3.5 GHz in the sub-6 GHz 5G frequency band. 11 (eleven) design ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.