Machine learning for energy consumption prediction

LIME-Powered Interpretation of YOLOv8 Tumor Detection

Explainable Artificial Intelligent method Grad-CAM in medical images processing

nBUS: The Sensor Network Core

How diffusion models for AI can be optimized by path probability of random dynamics

Gender Equality and Work-Life Balance in Higher Education: Navigating Institutional Norms, Expectations and Everyday Realities

Teachers' Attitudes Towards Usage of Assistive Technology Production Currently in the Production stage.

Clinician-Centred Platform for Fine-Tuning Large Language Models with Local Electronic Health Records

Separation of cancer cells in a zig-zag microchannels

Communication in the Volunteering Organizations

Enhancing Energy Efficiency with Explainable AI: A Study in Smart Building Heating Load Prediction

Implementation of Machine Learning and Statistical Techniques in Solar Energy Generation Monitoring Systems

Analysis and Modelling of Faults in Solar Power Plant

Artificial Intelligence Based Chatbot for Solar Panels Quality Assurance

Exploring a Hospital Outsourcing Decision: An AHP/Decision Mentor Approach

Developing a Kotter Eight-Step Model to Facilitate Organizational Adoption of a Mental Health Management Innovation for Children and Adolescents

In AI we blindly trust…

Interpretable Machine Learning for the Social Sciences: Revisiting Penalized Regression in Large-Scale Analysis

Forecasting Air Pollutant Concentrations Using Selected Neural Network Architectures

Studying the Effects of Plastics on Proteins and Biomembranes Using MD Simulations and Addressing Environmental Plastic Pollution with AI/ML Methods

Emissions and Predictions: Evaluating the Role of CO₂ Data in ML Projects