An Iterated Greedy Algorithm for Flexible Flow Lines with Sequence Dependent Setup Times to Minimize Total Weighted Completion Time

This paper explores the flexile flow Tank lines where setup times are sequence- dependent.The optimization criterion is the minimization of total weighted completion time.We propose an iterated greedy algorithm (IGA) to tackle the problem.An experimental evaluation is conducted to evaluate the proposed algorithm and, then, the obtained results of I

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Pulmonary Tuberculosis Diagnosis Using an Intelligent Microscopy Scanner and Image Recognition Model for Improved Acid-Fast Bacilli Detection in Smears

Microscopic examination of acid-fast mycobacterial bacilli (AFB) in sputum smears remains the most economical and readily available method for laboratory diagnosis of pulmonary tuberculosis (TB).However, this conventional approach is low in sensitivity and labor-intensive.An automated microscopy system incorporating artificial intelligence and mach

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