Abstract With the rapid development of society, severe haze weather caused by particulate matters (PMs) occurs frequently. Electret air filters have been playing an important role in purifying and alleviating pollution. In this work, electret were fabricated based on polypropylene (PP) materials to investigate their filtering performance PMs. First, PP-based films was mainly focused on. The cha...

This paper investigates performance attribution measures as a basis for constraining portfolio optimization. We employ optimizations that minimize conditional value-at-risk and investigate two attributes, asset allocation (AA) the selection effect (SE), constraints on weights. The test consists of stocks from Dow Jones Industrial Average index. Values attributes are established relative to benc...

We present a methodology to automatically compute worst-case performance bounds for large class of first-order decentralized optimization algorithms. These algorithms aim at minimizing the average local functions that are distributed across network agents. They typically combine computations and consensus steps. Our is based on approach Performance Estimation Problem (PEP), which allows computi...

nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...