Browsing by Subject "machine learning"
Now showing items 1-8 of 8
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Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ... -
Identification of crystalline structures of clathrate hydrates during molecular simulations using machine learning
Molecular simulation is a powerful tool that links a system’s microscopic behaviour to its macroscopic observable features. The data obtained from a molecular simulation act as a digital microscope, i.e., it contains ... -
Integrative modeling of NS3 helicase function with molecular kinetics, molecular simulations and machine learning
The viral NS3 helicase is a crucial enzyme involved in the RNA replication of positive strand ssRNA viruses of the Flaviviridae family. The NS3 is an active motor that binds RNA and couples ATP hydrolysis to the mechanical ... -
Integrative multi-platform approach to identify biomarkers of diabetes-associated breast cancer progression
Breast cancer (BrC) is the leading cause of cancer-related death among women worldwide, including in India. Major risk factors for BrC include genetic predisposition, mutations in BRCA genes, post-menopausal hormonal ... -
Investigation of machine learning and deep learning methodologies for applications in biomechanics, additive manufacturing, and microstructure fingerprinting: A Biomaterialomics approach
Traditional approaches to developing biomaterials and implants require intuitive tuning of process variables, long innovation cycle, and high costs. Accelerating the production of personalized, implantable biomaterials and ... -
Leveraging KG Embeddings for Knowledge Graph Question Answering
Knowledge graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. The goal of knowledge graph question answering (KGQA) is to answer natural language queries posed ... -
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ... -
Rational Design of Efficient Catalysts using First-Principles and Machine Learning
Rising concerns about the impending energy crisis and environmental impact have garnered tremendous research interest in developing catalysts for sustainable fuel production and pollution abatement. However, the traditional ...