Suchergebnisse - "Partitioning algorithms"

Optimal station locations for en-route charging of electric vehicles in congested intercity networks: A new problem formulation and exact and approximate partitioning algorithms von Bao, Zhaoyao, Xie, Chi

“… •A new problem formulation allowing en-route charges as many times as needed for electric vehicles.•A bi-level integer programming model on the basis of …”
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Distributed Partitioning Algorithms for Locational Optimization of Multiagent Networks in SE(2) von Bakolas, Efstathios

“… This paper is concerned with the development of distributed spatial partitioning algorithms for locational optimization problems involving networks of agents with planar rigid body dynamics subject …”
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Federated Matrix Factorization: Algorithm Design and Application to Data Clustering von Wang, Shuai, Chang, Tsung-Hui

“… Since the MF problem involves two blocks of variables and the variables are usually subject to constraints related to specific solution structure, it requires new FL algorithm designs to achieve …”
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Distributed Multirobot Multitarget Tracking Using Heterogeneous Limited-Range Sensors von Chen, Jun, Abugurain, Mohammed, Dames, Philip, Park, Shinkyu

“… This measurement can be computed using entirely local information and is applicable to various sensor models, distinguishing it from previous literature on the subject …”
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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design von Liu, Peng, Fei, Zesong, Wang, Xinyi, Li, Xiaoyang, Yuan, Weijie, Li, Yuanhao, Hu, Cheng, Niyato, Dusit

“… The combination of Integrated Sensing and Communication (ISAC) and Mobile Edge Computing (MEC) enables devices to simultaneously sense the environment and …”
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Collaborative Inference in RIS-Assisted MEC Networks Under Computing Backlog Constraints von Yang, Yang, Gursoy, M. Cenk

“… The goal is to minimize the long-term average energy consumption subject to a long-term average computing queue backlog constraint …”
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iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations von Brito da Silva, Leonardo Enzo, Rayapati, Nagasharath, Wunsch, Donald C.

“… This article presents an adaptive resonance theory predictive mapping (ARTMAP) model, which uses incremental cluster validity indices (iCVIs) to perform …”
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Specification-Guided Verification and Abstraction Refinement of Mixed Monotone Stochastic Systems von Dutreix, Maxence, Coogan, Samuel

“… We present a procedure to compute a finite-state interval-valued Markov chain (IMC) abstraction of discrete-time, mixed monotone stochastic systems subject to affine disturbances given a rectangular …”
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Deterministic Decremental Reachability, SCC, and Shortest Paths via Directed Expanders and Congestion Balancing von Bernstein, Aaron, Gutenberg, Maximilian Probst, Saranurak, Thatchaphol

“… Let G=(V, E, w) be a weighted, directed graph subject to a sequence of adversarial edge deletions …”
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Machine Learning-Enabled RIS-Assisted mmWave NOMA Systems: RIS Partitioning, Beamforming Design, and Power Allocation von Wei, Tongyi, Chen, Weizhi, Tang, Kun, Zheng, Beixiong, Feng, Wenjie, Che, Wenquan, Xue, Quan

“… We aim to maximize the sum achievable rate of the considered system by jointly optimizing user clustering, RIS partitioning, active beamforming, passive beamforming, and power allocation, subject …”
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General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering von Linda, O., Manic, M.

“… Pattern recognition in real-world data is subject to various sources of uncertainty that should be appropriately managed …”
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K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning von Bustany, Ismail, Kahng, Andrew B., Koutis, Ioannis, Pramanik, Bodhisatta, Wang, Zhiang

“… Multilevel partitioners are subject to two limitations: 1) hypergraph coarsening processes rely on local neighborhood structure without fully considering the global structure of the hypergraph and 2 …”
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Group-Based Random Access and Data Transmission Scheme for Massive MTC Networks von Wang, Tao, Wang, Yichen, Wang, Chunfeng, Yang, Zihuan, Cheng, Julian

“… Massive machine-type communications (mMTC) is one of the three generic services for the fifth-generation (5G) wireless communications system. To utilize fully …”
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A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks von Akram, Vahid Khalilpour, Dagdeviren, Orhan, Tavli, Bulent

“… > value subject to a coverage …”
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An Eigenvalue-Based Generalized MVDR Method for DOA Estimation of Underwater Targets Without Prior Knowledge of Source Number von Wang, Bo, Chen, Feng, Mo, Shiqi

“… The actual underwater acoustic field environment is subject to various interferences, resulting in high background noise, thereby complicating underwater target detection …”
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A Survey of Evolutionary Algorithms for Clustering von Hruschka, E.R., Campello, R.J.G.B., Freitas, A.A., de Carvalho, A.C.P.L.F.

“… It tries to reflect the profile of this area by focusing more on those subjects that have been given more importance in the literature …”
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Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks von Saad, W., Zhu Han, Rong Zheng, Hjorungnes, A., Basar, T., Poor, H. V.

“… Unlicensed secondary users (SUs) in cognitive radio networks are subject to an inherent tradeoff between spectrum sensing and spectrum access …”
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A Blockchain-based Profiling System for Exploring Human Factors in Cloud-Edge-End Orchestration von Li, Minghao, Cai, Wei

“… Due to the user's unpredictable behavior pattern, which is an indispensable factor affecting the performance of an offloading system, traditional partitioning algorithms, considering only purely …”
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GUIRO: User-Guided Matrix Reordering von Behrisch, Michael, Schreck, Tobias, Pfister, Hanspeter

“… Matrix representations are one of the main established and empirically proven to be effective visualization techniques for relational (or network) data …”
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Hierarchical Spectral Consensus Clustering for Group Analysis of Functional Brain Networks von Ozdemir, Alp, Bolanos, Marcos, Bernat, Edward, Aviyente, Selin

“… Moreover, the study of brain functional networks is confounded by the fact that most neurophysiological studies consists of data collected from multiple subjects …”
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