Results 101 to 110 of about 805,462 (293)

Pickering Emulsion for Enhanced Viability of Plant Growth Promoting Bacteria and Combined Delivery of Agrochemicals and Biologics

open access: yesAdvanced Functional Materials, EarlyView.
Cellulosic emulsions as multi‐cargo agriculture formulations. Pickering emulsions stabilized by cellulose acetate particles provide an effective platform for delivering a range of agricultural cargoes, including plant growth‐promoting bacteria and agrochemicals.
Mariam Sohail   +10 more
wiley   +1 more source

Combined Rough Sets and Rule-Based Expert System to Support Environmentally Oriented Sandwich Pallet Loading Problem

open access: yesEnergies
A sandwich pallet loading problem represents a significant challenge in the logistics of fast-moving consumer goods (FMCG), requiring optimisation of load units (LUs) arrangements to minimise their number in transportation and warehousing processes ...
Piotr Sawicki   +3 more
doaj   +1 more source

A novel axiomatic approach to L-valued rough sets within an L-universe via inner product and outer product of L-subsets [PDF]

open access: yesarXiv
The fuzzy rough approximation operator serves as the cornerstone of fuzzy rough set theory and its practical applications. Axiomatization is a crucial approach in the exploration of fuzzy rough sets, aiming to offer a clear and direct characterization of fuzzy rough approximation operators.
arxiv  

Rough Clustering Based Unsupervised Image Change Detection [PDF]

open access: yesarXiv, 2014
This paper introduces an unsupervised technique to detect the changed region of multitemporal images on a same reference plane with the help of rough clustering. The proposed technique is a soft-computing approach, based on the concept of rough set with rough clustering and Pawlak's accuracy.
arxiv  

Time‐Controlled Dual Targeting to Program Systemic and Intercellular Transfer of Therapeutic Effects

open access: yesAdvanced Functional Materials, EarlyView.
Aspirin‐liposomes loaded onto monocytes enable inflammation‐triggered targeting and efficient hand‐over of aspirin to inflamed cells. Monocytes uptake a significant portion of aspirin‐liposomes, prolonging therapeutic action. This approach enhances anti‐inflammatory effects through intercellular transfer, demonstrating a translational strategy for ...
Seung Eun Yu   +6 more
wiley   +1 more source

Fuzzy Set Extensions of the Dominance-Based Rough Set Approach

open access: yesFuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2021
S. Greco, B. Matarazzo, R. Słowiński
semanticscholar   +1 more source

Dynamic Maintenance of Approximations in Dominance‐Based Rough Set Approach under the Variation of the Object Set

open access: yesInternational Journal of Intelligent Systems, 2013
Dominance‐based rough sets approach (DRSA) is an effective tool to deal with information with preference‐ordered attribute domains and decision classes. Any information system may evolve when new objects enter into or old objects get out.
Shaoyong Li, Tianrui Li, Dun Liu
semanticscholar   +1 more source

Soft Rough Graphs [PDF]

open access: yesarXiv, 2017
Soft set theory and rough set theory are mathematical tools to deal with uncertainties. In [3], authors combined these concepts and introduced soft rough sets. In this paper, we introduce the concepts of soft rough graphs, vertex and edge induced soft rough graphs and soft rough trees. We define some products with examples in soft rough graphs.
arxiv  

Concurrent Interface Passivation and Contact Work Function Tuning in Organic Self‐Aligned Gate Transistors and Complementary Circuits Using Phosphonic Acid Self‐Assembled Monolayers

open access: yesAdvanced Functional Materials, EarlyView.
Self‐aligned gate transistors are developed with a single‐step dielectric passivation and fine‐tuning of source/drain electrode work function using phosphonic acid self‐assembled monolayers (SAM). This transistor architecture minimizes overlap capacitances and access resistance.
Linqu Luo   +16 more
wiley   +1 more source

Bayesian approach to rough set [PDF]

open access: yesarXiv, 2007
This paper proposes an approach to training rough set models using Bayesian framework trained using Markov Chain Monte Carlo (MCMC) method. The prior probabilities are constructed from the prior knowledge that good rough set models have fewer rules.
arxiv  

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