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Ph.D. Proposal Defense

Home / Lectures / Ph.D. Proposal Defense

Automated Behavioral Analysis of Sequential Data for System Anomaly Detection

Transforming User Requirements to Test Cases using Model-Driven Software Engineering

Self-Testing of Microservices at Runtime

An AI-Driven Approach For Context-Aware Online Test Generation

DISTRIBUTED MACHINE LEARNING ALGORITHMS FOR RESOURCE-CONSTRAINED HETEROGENEOUS IoT ENVIRONMENT

A Flexible Framework To Optimize The Hybrid Cloud System For Big Data Streaming Applications

A Generalization of a Theorem of Rothschild and van Lint

Big Data Analytic Frameworks for Cyber-Physical System

A mixed methods study: How cultural messages through experiences influence occupational pursuit of Muslim female computer science students

Efficient Optimization Algorithms for Automated Machine Learning: Theory and Application

A Feature Selection Framework for Identifying Molecular Biomarkers from Multi-Omics Cancer Data

Integrating Cultural Knowledge into Artificially Intelligent Systems

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