Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
— This paper presents Salsa, a novel, decentralized and asynchronous realization of the “replica exchange” algorithm for simulating the structure, function, folding, and dyna...
Li Zhang, Manish Parashar, Emilio Gallicchio, Rona...
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at var...
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from scientific literature (using text mining techn...
Abstract—We investigate the consensus problem in a network where nodes communicate via diffusion-based molecular communication (DbMC). In DbMC, messages are conveyed via the vari...
Arash Einolghozati, Mohsen Sardari, Ahmad Beirami,...