Muhammad Azam Sheikh
Visar 22 publikationer
Machine learning-based investigation of the cancer protein secretory pathway
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
Context-Aware Optimal Charging Distribution using Deep Reinforcement Learning
Bayesian optimization in ab initio nuclear physics
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
Visualizing and mitigating delivery schedule deficiencies and inaccuracies using big data analytics
Data-driven algorithm for throughput bottleneck analysis of production systems
Summarizing online user reviews using bicliques
Strict group testing and the set basis problem
New Constructions for Competitive and Minimal-Adaptive Group Testing
Two new perspectives on multi-stage group testing
A toolbox for provably optimal multistage strict group testing strategies
Randomized group testing both query-optimal and minimal adaptive
Engineering Competitive and Query-Optimal Minimal-Adaptive Randomized Group Testing Strategies
Bounds for nonadaptive group tests to estimate the amount of defectives
Competitive group testing and learning hidden vertex covers with minimum adaptivity
Bounds for nonadaptive group tests to estimate the amount of defectives
Competitive group testing and learning hidden vertex covers with minimum adaptivity
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Visar 2 forskningsprojekt
The potential of BigData in material supply and information sharing in supply chains