A new paradigm for designing ring construction strategies for green organic synthesis: implications for the discovery of multicomponent reactions to build molecules containing a single ring. [PDF]
Andraos J.
europepmc +1 more source
Scenario‐Based Platoon Lane Network Design
ABSTRACT A truck platoon is a set of trucks that drive behind one another at short headways to save fuel, reduce emissions, and improve traffic throughput. Despite the potential benefits of platooning, road operators have raised concerns about the impact of platoons on surrounding traffic.
Anirudh Kishore Bhoopalam +2 more
wiley +1 more source
Algorithms for computing the double cut and join distance on both gene order and intergenic sizes. [PDF]
Fertin G, Jean G, Tannier E.
europepmc +1 more source
Heuristics and optimal solutions to the breadth-depth dilemma. [PDF]
Moreno-Bote R +3 more
europepmc +1 more source
ABSTRACT In this work, we present an anisotropic multi‐goal error control based on the dual weighted residual (DWR) method for time‐dependent convection–diffusion–reaction (CDR) equations. Motivated by former work, we combine multiple goals to single error functionals with weights chosen as algorithmic parameters.
Markus Bause +5 more
wiley +1 more source
Image contraction through fuzzy soft outerplanar graph structures. [PDF]
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc +1 more source
Spectral State Compression of Markov Processes. [PDF]
Zhang A, Wang M.
europepmc +1 more source
Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley +1 more source
A multiobjective multi-view cluster ensemble technique: Application in patient subclassification. [PDF]
Mitra S, Saha S.
europepmc +1 more source
Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series
ABSTRACT This study presents a framework to perform unsupervised time‐event probabilistic classification using time series data of large cross‐sectional dimension. These datasets often exhibit complexities such as non‐linearities, structural breaks, asynchronicity, missing data, and outliers; which hampers their analysis and modeling.
Máximo Camacho +2 more
wiley +1 more source

