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Isfahan University of Technology
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Dr. Hamid R. Safavi
Modification of Mg/Al-layered double hydroxide with L-aspartic acid containing dicarboxylic acid and its application in enhancement of thermal stability of chiral poly(amide-imide)
Nanomaterials Characterization Techniques
Science News : Impacts of Plant Invasions Become Less Robust Over Time: Invasive Plants Are More Likely to Be Replaced by Other 'Invasives'
Nurse scheduling problem by considering total number of required nurses as well as nurses' preferences for working shifts: An algorithmic game-theoretic approach
Time-dependent vehicle routing problem with backhaul with FIFO assumption: Variable neighborhood search and mat-heuristic variable neighborhood search algorithms
Time-dependent vehicle routing problem with backhaul with FIFO assumption: Variable neighborhood search and mat-heuristic variable neighborhood search algorithms
A branch and bound algorithm to minimize the total weighted number of tardy jobs and delivery costs with late deliveries for a supply chain scheduling problem
A branch and bound algorithm to minimize the total weighted number of tardy jobs and delivery costs with late deliveries for a supply chain scheduling problem
Comparison among four calibrated meta-heuristic algorithms for solving a type-2 fuzzy cell formation problem considering economic and environmental criteria
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information
Multi-depot vehicle routing problem with roaming delivery locations considering hard time windows: Solved by a hybrid ELS-LNS algorithm
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information
Performance prediction of a specific wear rate of epoxy nanocomposites with various composition content of Polytetrafluoroethylene(PTFE) graphite short carbon fibers (CF) and nano-TiO2 using adaptive neuro-fuzzy inference system (ANFIS)
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