The research interest in scheduling problems with no-wait in process began in 1970s and the interest has been increasing since then. Hall and Sriskandarajah (1996) presented an excellent review of the literature, covering about 130 papers, on scheduling problems with no-wait in process since 1970s until mid-1993.
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We report on an improved strategy for the preparation of artificial molecular machines that can pick up and assemble reactive groups in sequence by traveling along a track. In the new approach a preformed rotaxane synthon is attached to the end of an otherwise fully formed strand of building blocks. This “rotaxane-capping” protocol is significantly more efficient than the “final-step ...
Machine learning (ML) has been successfully used as a prevalent approach to solving numerous NLP problems. However, the classic ML paradigm learns in isolation. That is, given a dataset, an ML algorithm is executed on the dataset to produce a model without ...
Mar 10, 2020 · Machine Translation Reading List. This is a machine translation reading list maintained by the Tsinghua Natural Language Processing Group. The past three decades have witnessed the rapid development of machine translation, especially for data-driven approaches such as statistical machine translation (SMT) and neural machine translation (NMT).
Chu-Cheng Lin, Hao Zhu, Matthew Gormley, and Jason Eisner (2019). In NAACL. [ bib ] We introduce neural finite state transducers (NFSTs), a family of string transduction models defining joint and conditional probability distributions over pairs of strings.
6/1/2018 · A clustering algorithm for determining community structure in complex networks. NASA Astrophysics Data System (ADS) Jin, Hong; Yu, Wei; Li, ShiJun. 2018-02-01. Clustering algorithms are attractive for the task of community detection in complex networks. DENCLUE is a representative density based clustering algorithm which has a firm mathematical basis and good clustering properties …
Apr 17, 2020 · The Boston Herald is the leading source of breaking news, local news, sports, politics, entertainment, opinion and weather in Boston, Massachusetts.
Machine Learning based Evolutionary Algorithm and Optimization for Transportation and Logistics; Guest Edited by Mitsuo Gen & Dr. Yong Jae Jang select article Optimal strategies for the yard truck scheduling in container terminal with the consideration of container clusters
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Pipe routing, in particular branch pipes with multiple terminals, has an important influence on product performance and reliability. This paper develops a new rectilinear branch pipe routing approach for automatic generation of the optimal rectilinear branch pipe routes in constrained spaces. Firstly, this paper presents a new 3D connection graph, which is constructed by extending a new 2D ...
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To investigate the potential of DNA origami constructs as programmable and noncytotoxic immunostimulants, we tested the immune responses induced by hollow 30-helix DNA origami tubes covered with up to 62 cytosine-phosphate-guanine (CpG) sequences in freshly isolated spleen cells. Unmethylated CpG sequences that are highly specific for bacterial DNA are recognized by a specialized receptor of ...
Second, our study proposes a methodology for obtaining value from big data with a knowledge-based view. We learned how to mine customer requirements from online reviews from the perspective of product improvements as our research topic, but our methodology can be extended to other areas of big data commerce.
Citations Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically.
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Charlotte Search Results from Charlotte Business Journal. ‘Businesses are changing’: Charlotte mayor on what city is doing for businesses — and what more needs to be done
The accurate and reliable prediction of properties of molecules typically requires computationally intensive quantum-chemical calculations. Recently, machine learning techniques applied to ab initio calculations have been proposed as an efficient approach for describing the energies of molecules in their given ground-state structure throughout chemical compound space (Rupp et al. Phys. Rev ...
9781419332982 1419332988 The Rising - Antichrist Is Born, Tim LaHaye, Jerry B. Jenkins, Richard Ferrone 9781871210316 1871210313 Play Your Ocarina - Songs of Praise, David Liggins, Christa Liggins 9780199168064 0199168067 Oxford reading tree rhyme and analogy - Story rhymes pack A: big book pack (1 each of 6 titles), Roderick Hunt, Alex Brychta
上领英，在全球领先职业社交平台查看tim zhu的职业档案。tim的职业档案列出了 1 个职位。查看tim的完整档案，结识职场人脉和查看相似公司的职位。 ... Tim Zhu Salesman at MITNIK CONSTRUCTION MACHINE. 中国 福建 厦门 ...
View Dana Zhu’s profile on LinkedIn, the world's largest professional community. Dana has 4 jobs listed on their profile. See the complete profile on LinkedIn and discover Dana’s connections and jobs at similar companies.
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AdMaster's Institutional Investor Allen Zhu Ranked as One of the Top 100 VCs Worldwide -- Big Data application has become a HOT SPOT for Investment Worldwide
The bottleneck traveling salesman problem is to find a Hamiltonian circuit that minimizes the largest cost of any of its arcs in a graph. A simple genetic algorithm (GA) using sequential constructive crossover has been developed to obtain heuristic solution to the problem.
[Show full abstract] statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new ...
Editors: Jun Zhu and Ichiro Takeuchi Abstract Dynamic programming is a powerful method for solving combinatorial optimization prob-lems. However, it does not always work well, particularly for some NP-hard problems having extremely large state spaces. In this paper, we propose an approach to boost the
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research ..
To make the leasing business work, however, IBM had to develop an entirely new cash-flow equation, a different pricing and sales process (which involved making money on the machine card stock – rather like printer peripherals today), and a different approach to residual value and inventory management. Be a leader.
This paper presents a novel version of the Bees Algorithm customised to solve combinatorial optimisation problems. This version was created to minimise assembly time in the manufacturing of printed circuit boards using a machine of the moving-board-with-time-delay type, and optimising the feeder arrangement and machine component placement sequence.
The Strength Pareto Evolutionary Algorithm (SPEA) is a relatively recent technique for finding or approximating the Pareto-optimal set for multiob- jective optimization problems. In ...
Apr 11, 2018 · Estimated Time of Arrival and Estimated Time of Delivery Explained are both ways shippers track where their shipments are. Learn about the differences.