Results 1 to 10 of about 1,662,008 (267)
Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints
Agriculture, 2023 Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann +2 more
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Algorithms, 2022 The article offers a possible treatment for the numerical research of tasks which require searching for an absolute optimum. This approach is established by employing both globalized nature-inspired methods as well as local descent methods for ...
Pavel Sorokovikov, Alexander Gornov
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Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
Machine Learning and Knowledge Extraction, 2023 Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
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Remote Sensing, 2023 Obstacle detection is the primary task of the Advanced Driving Assistance System (ADAS). However, it is very difficult to achieve accurate obstacle detection in complex traffic scenes.
Wenyan Ci +5 more
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Mathematics, 2023 This study investigates the problem of time-varying formation tracking (TVFT) control involving event-triggered and switching topological mechanisms.
Xiaoya Chen, Huiying Chen
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Existence of optimal control for multi-order fractional optimal control problems [PDF]
Archives of Control Sciences, 2022 In this article we focus on optimal control problems involving a nonlinear fractional control system of different orders with Caputo derivatives, associated to a Lagrange cost functional. Based on a lower closure theorem for orientor fields combined with
Rafał Kamocki
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Fast Unsupervised Graph Embedding Based on Anchors [PDF]
Jisuanji kexue, 2022 Graph embedding is a widely used method for dimensionality reduction due to its computational effectiveness.The computational complexity of graph embedding method to construct traditional K-Nearest Neighbors (K-NN) graph is at least O(n2d), where n and d
YANG Hui, TAO Li-hong, ZHU Jian-yong, NIE Fei-ping
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Optimal CAR T-cell Immunotherapy Strategies for a Leukemia Treatment Model
Games, 2020 CAR T-cell immunotherapy is a new development in the treatment of leukemia, promising a new era in oncology. Although so far, this procedure only helps 50–90% of patients and, like other cancer treatments, has serious side effects.
Evgenii Khailov +2 more
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The 2-good-neighbour diagnosability of modified bubble-sort graphs under the PMC and MM* model
Systems Science & Control Engineering, 2020 The study of interconnection networks is a hot topic for multiprocessor systems. Diagnosability plays an important role in the study of interconnection networks. A new measure for fault diagnosis of a system is proposed by Peng et al. in 2012.
Yanling Wang, Shiying Wang
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Minimization of the Compliance under a Nonlocal p-Laplacian Constraint
Mathematics, 2023 This work is an extension of the paper by Cea and Malanowski to the nonlocal and nonlinear framework. The addressed topic is the study of an optimal control problem driven by a nonlocal p-Laplacian equation that includes a coefficient playing the role of
Fuensanta Andrés +2 more
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