Results 71 to 80 of about 513,125 (288)
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
Advanced Science, EarlyView.His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
Fractional CCP: A Fuzzy Goal Programming Approach
International Journal of Industrial Engineering and Production Research, 2014 It is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (CC) problem. For this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional ...
Yahia Zare Mehrjerdi
doaj
Goal programming approach to fully fuzzy fractional transportation problem
Journal of Taibah University for Science, 2019 In this paper, authors devoted to study a fully fuzzy fractional multi-objective transportation problem by using goal programming approach. Also trapezoidal membership functions are applied to each objective function and constraints to describe a each ...
P. Anukokila, B. Radhakrishnan
doaj +1 more source
Advanced Science, EarlyView.vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang +7 more
wiley +1 more source
International Journal of Computational Intelligence Systems, 2017 In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming.
Animesh Biswas, Nilkanta Modak
doaj +1 more source
Neutrosophic Goal Programming Approach to A Green Supplier Selection Model with Quantity Discount [PDF]
Neutrosophic Sets and Systems, 2019 In this study, we have proposed a supplier selection problem with the goals of minimizing the net cost, minimizing the net rejections, minimizing the net late deliveries, and minimizing the net green house gas emission subject to realistic constraints ...
Sahidul Islam, Sayan Chandra Deb
doaj +1 more source
Interactive Fuzzy Goal Programming Based on Taylor Series to Solve Multiobjective Nonlinear Programming Problems With Interval Type-2 Fuzzy Numbers [PDF]
IEEE transactions on fuzzy systems, 2016 This paper presents an interactive fuzzy goal programming (FGP) approach for solving multiobjective nonlinear programming problems (MONLPP) with interval type-2 fuzzy numbers (IT2 FNs). The cost and time of the objective functions, the resources, and the
Hasan Dalman, M. Bayram
semanticscholar +1 more source
Preemptive Fuzzy Goal Programming in Fuzzy Environments
Southeast Europe Journal of Soft Computing, 2012 There are a variety of efficient approaches to solve crisp multiple objective decision making problems. However in the real life the input data may not be precisely determined because of the incomplete information. This paper deals with a method which can be applied to solve fuzzy multi objective production marketing problems.
openaire +2 more sources
An Improvement for Fuzzy Stochastic Goal Programming Problems [PDF]
Mathematical Problems in Engineering, 2017 We examined the solution process for linear programming problems under a fuzzy and random environment to transform fuzzy stochastic goal programming problems into standard linear programming problems. A previous paper that revised the solution process with the lower‐side attainment index motivated our work.
Shu-Cheng Lin +2 more
openaire +1 more source