Results 81 to 90 of about 117,539 (289)

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Feasibility of Warehouse Drone Adoption and Implementation [PDF]

open access: yes, 2018
While aerial delivery drones capture headlines, the pace of adoption of drones in warehouses has shown the greatest acceleration. Warehousing constitutes 30% of the cost of logistics in the US.
Companik, Edward   +2 more
core   +2 more sources

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

A DYNAMIC INDEXING SCHEME FOR MULTIDIMENSIONAL DATA

open access: yesСовременные информационные технологии и IT-образование, 2018
We present a new dynamic index structure for multidimensional data. The considered index structure is based on an extended grid file concept. Strengths and weaknesses of the grid files were analyzed.
Manuk G. Manukyan, Grigor R. Gevorgyan
doaj   +1 more source

High-Level Object Oriented Genetic Programming in Logistic Warehouse Optimization [PDF]

open access: yes, 2014
Disertační práce je zaměřena na optimalizaci průběhu pracovních operací v logistických skladech a distribučních centrech. Hlavním cílem je optimalizovat procesy plánování, rozvrhování a odbavování.
Karásek, Jan
core  

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

open access: yesAdvanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir   +4 more
wiley   +1 more source

Un modelo multidimensional conceptual espacio-temporal A conceptual spatio-temporal multidimensional model

open access: yesRevista Ingenierías Universidad de Medellín, 2010
Hoy, gracias a los sistemas de posicionamiento global y dispositivos móviles equipados con sensores de rastreo, se puede recopilar una gran cantidad de datos sobre objetos móviles, es decir, datos espacio-temporales relacionados con el movimiento seguido
Francisco Moreno   +2 more
doaj  

Building secure multidimensional data management system

open access: yesБезопасность информационных технологий, 2018
Nowadays one should not underestimate importance of informational technologies across all fields of humans’ life. Computational technologies and tools became crucial parts of any human activity. However, since information is becoming a strategic resource,
Andrey V. Gorlatyh   +1 more
doaj   +1 more source

Stanovení racionální struktury bezpeýnostní služby integrovaného logistického podporného systému založeného na regionálních logistikých klastrech [PDF]

open access: yes, 2013
Development of an integrated logistical support system for all types of national security services requires the solution to a problem of definition its rational structure.
Sysoiev, Volodymyr Viktorovych
core  

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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