Results 51 to 60 of about 24,030 (229)
Deep Underground Science and Engineering, EarlyView.The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
wiley +1 more source
Nonsmooth Optimization; Proceedings of an IIASA Workshop, March 28 - April 8, 1977 [PDF]
, 1978 Optimization, a central methodological tool of systems analysis, is used in many of IIASA's research areas, including the Energy Systems and Food and Agriculture Programs. IIASA's activity in the field of optimization is strongly connected with nonsmooth
Lemarechal, C., Mifflin, R.
core
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
Journal of Field Robotics, EarlyView.ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang +4 more
wiley +1 more source
On a Nonsmooth Vector Optimization Problem with Generalized Cone Invexity
Abstract and Applied Analysis, 2012 By using Clarke’s generalized gradients we consider a nonsmooth vector optimization problem with cone constraints and introduce some generalized cone-invex functions called K-α-generalized invex, K-α-nonsmooth invex, and other related functions.
Hehua Jiao, Sanyang Liu
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Abstract and Applied Analysis, 2013 We deal with complementarity problems over second-order cones. The complementarity problem is an important class of problems in the real world and involves many optimization problems.
Yasushi Narushima +2 more
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Journal of Inequalities and Applications, 2019 To solve large-scale unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the conjugate gradient method and successfully fully ...
Gonglin Yuan, Tingting Li, Wujie Hu
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Shock and Vibration, 2020 In the structural topology optimization approaches, the Moving Morphable Component (MMC) is a new method to obtain the optimized structural topologies by optimizing shapes, sizes, and locations of components.
Ruichao Lian +4 more
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