Results 81 to 90 of about 121,490 (335)
Interpolation graph convolutional network for 3D point cloud analysis
International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12283-12304, December 2022., 2022 Abstract The feature analysis of point clouds, a popular representation of three‐dimensional (3D) objects, is rising as a hot research topic nowadays. Point cloud data bear a sparse and unordered nature, making many commonly used feature extraction methods, for example, Convolutional Neural Networks (CNNs) inapplicable, while previous models suitable ...
Yao Liu +4 more
wiley +1 more source
Risk Control Failure of Iron Pipes in Finished Goods Warehouses using Dynamic Systems
International Journal of Technology, 2021 The condition of risk control failure causes many consumer complaints because many defective products are found with purchase orders for iron pipes. Storage management is very important for companies in maintaining quality and delivery accuracy for ...
Arief Suwandi +2 more
doaj +1 more source
FUCOM method in group decision-making: Selection of forklift in a warehouse
Decision Making: Applications in Management and Engineering, 2019 A warehouse system as a time transformation of the flows of goods plays an essential role in a complete logistics chain. The efficiency of a complete warehouse system largely depends on the efficiency of carrying out transport and handling operations ...
H. Fazlollahtabar +3 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Explainable machine learning in cybersecurity: A survey
International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12305-12334, December 2022., 2022 Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, successful adoption of ML models in cybersecurity still highly relies on the explainability of those models ...
Feixue Yan +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula +6 more
wiley +1 more source
Perbandingan Algoritma Simulated Annealing dan Harmony Search dalam Penerapan Picking Order Sequence
Jurnal Teknik Industri, 2017 Implementation of mobile rack warehouse is commonly used in manufacturing industry because it can minimize the warehouse area used. Applying picking orders in taking of Stock Keeping Unit (SKU) on mobile rack warehouses could give fast loading order ...
Tanti Octavia, Septiananda Angelica
doaj
Safe operation of racking equipment based on the Quality Rack Service during the COVID-19 pandemic
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-BiałejThe need for storage racking equipment is prompted directly by the search for operational and economic efficiency in companies with a logistics business orientation.
Wieslaw Staniuk, Michal Staniuk
doaj +1 more source
Elaboration d'entrepôts de données complexes [PDF]
congr\`es INFormatique des ORganisations et Syst\`emes
d'Information et de D\'ecision - INFORSID'00, Lyon : France (2000), 2010 In this paper, we study the data warehouse modelling used in decision support systems. We provide an object-oriented data warehouse model allowing data warehouse description as a central repository of relevant, complex and temporal data. Our model integrates three concepts such as warehouse object, environment and warehouse class. Each warehouse object
arxiv