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Found 5 papers, 1 papers with code
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
Existing food delivery methods are sub-optimal because each delivery is individually optimized to go directly from the producer to the consumer via the shortest time path.
A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters
The existing models to predict the pseudouridine sites in a given RNA sequence mainly depend on user-defined features such as mono and dinucleotide composition/propensities of RNA sequences.
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks
Reducing the size of a neural network (pruning) by removing weights without impacting its performance is an important problem for resource-constrained devices.
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets
We present analytical exploration of novel activation functions as consequence of integration of several ideas leading to implementation and subsequent use in habitability classification of exoplanets.
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification
We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes.
