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Md Imbesat Hassan Rizvi
Md Imbesat Hassan Rizvi
Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität (TU) Darmstadt
Verified email at tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Mathematical modelling of thermal conductivity for nanofluid considering interfacial nano-layer
IH Rizvi, A Jain, SK Ghosh, PS Mukherjee
Heat and Mass Transfer 49 (4), 595-600, 2013
592013
Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach
A Ahne, V Khetan, X Tannier, MIH Rizvi, T Czernichow, F Orchard, C Bour, ...
Journal of Medical Internet Research (JMIR) Medical Informatics 2022 10 (6), 2022
14*2022
MIMICause: Representation and automatic extraction of causal relation types from clinical notes
V Khetan, MIH Rizvi, J Huber, P Bartusiak, B Sacaleanu, A Fano
Findings of the Association for Computational Linguistics (ACL), 764–773, 2022
14*2022
Analysis of nanofluids as a means of thermal conductivity enhancement in heavy machineries
A Jain, I Hassan Rizvi, S Kumar Ghosh, PS Mukherjee
Industrial Lubrication and Tribology 66 (2), 238-243, 2014
52014
Combinatorial Design of Molecule using Activity-Linked Substructural Topological Information as Applied to Antitubercular Compounds
C Raychaudhury, MIH Rizvi, D Pal
Current Computer-Aided Drug Design 15 (1), 2019
32019
Predicting gas phase entropy of select hydrocarbon classes through specific information-theoretical molecular descriptors
C Raychaudhury, IH Rizvi, D Pal
SAR and QSAR in Environmental Research 30 (7), 491-505, 2019
22019
Identifying the Relative Importance of Customer Issues on Product Ratings through Machine Learning
H Tiwari, S Sait, MIH Rizvi, N Damera-Venkata
Proceedings of the ACM Symposium on Document Engineering 2018, 1-4, 2018
22018
Combinatorial Drug Discovery from Activity-Related Substructure Identification
MIH Rizvi, C Raychaudhury, D Pal
Structural Bioinformatics: Applications in Preclinical Drug Discovery …, 2019
12019
Parallel hybrid Implementation of Cascade Support Vector Machine (SVM) with parallelized Sequential Minimal Optimization (SMO) for classification.
MIH Rizvi, P Kushwaha
2016
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Articles 1–9