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Evaluating Information Retrieval Systems With Multiple Non-Expert Assessors
Evaluating Information Retrieval Systems With Multiple Non-Expert Assessors

By Vivek Gehlot

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Learning Dynamic Priority Scheduling Policies with Graph Attention Networks
Learning Dynamic Priority Scheduling Policies with Graph Attention Networks

By Rupali Jangid

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Modelling, Design, and Control of Energy Systems: A Data-Driven Approach
Modelling, Design, and Control of Energy Systems: A Data-Driven Approach

By Varun Jindal

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Automating Water Capital Activities Using Naïve Bayes Classifier with Supervised Learning Algorithm
Automating Water Capital Activities Using Naïve Bayes Classifier with Supervised Learning Algorithm

By Upasana Meghwal

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HW-SW Methods for Modeling and Optimizing Communication for Scalable Training of Deep Learning Models
HW-SW Methods for Modeling and Optimizing Communication for Scalable Training of Deep Learning Models

By Ritvik Goni

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Reinforcement Learning for Scheduling Processes Under Uncertainty in Chemical Engineering Facilities
Reinforcement Learning for Scheduling Processes Under Uncertainty in Chemical Engineering Facilities

By Vedprakash Jindal

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Community Structure, Inference and Network-Based Markers
Community Structure, Inference and Network-Based Markers

By Vishal Upadhyay

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Scaling Machine Learning Data Repair Systems for Sparse Datasets
Scaling Machine Learning Data Repair Systems for Sparse Datasets

By Upasana Dube

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Automation and Autonomous Experimentation for Sol-Gel Nanomaterial Synthesis
Automation and Autonomous Experimentation for Sol-Gel Nanomaterial Synthesis

By Shiv Narayan Puri

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Imaging and Quantification of Microcirculatory Network within Tissue Beds in vivo using Optical Coherence Tomography
Imaging and Quantification of Microcirculatory Network within Tissue Beds in vivo using Optical Coherence Tomography

By Vamika Nath

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