Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

This paper presents a method for evaluating smart grid functions that are implemented to operate residential loads. The proposed assessment method is developed based on the energy not-served (ENS) ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change strain the energy grid.

Grid computing is a form of distributed computing that uses a network of computers to perform complex tasks. Grid computing is a form of parallel computing. The term grid computing was first used in ...

2D grid-based game built in Python with Pygame. Collect fruits, avoid BFS-based enemies, and shape the forest in real time.

Black box functions are often used by machine learning algorithms. These functions do not provide convenient way of analyzing sensitivity of response to input variables. This paper presents Sparse ...