Suchergebnisse - Expectation Minimization algorithms. Algorithms. Sensor networks.

Energy Loss Minimization for Wireless Power Transfer Based Energy Redistribution in WSNs von Gao, Zhenguo, Chen, Danjie, Wu, Hsiao-Chun

“… By enabling energy redistribution among nodes in Wireless Sensor Networks (WSNs), the Wireless Power Transfer (WPT …”
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Energy Hole Minimization in Wireless Mobile Ad Hoc Networks Using Enhanced Expectation-Maximization von Gripsy, J. Viji, Jayanthiladevi, A.

“… in premature death, to prevent the formation of holes in the supply network of wireless sensors …”
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Expectation-maximisation-based localisation using anchors with uncertainties in wireless sensor networks von Li, Bin, Wu, Nan, Wang, Hua, Kuang, Jingming

“… Localisation in wireless sensor networks (WSNs) has received much attention, where most studies focus on mitigating the effects of measurement noise under the assumption of accurate anchors’ positions. However, anchors …”
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Lyapunov-Guided Resource Allocation and Task Scheduling for Edge Computing Cognitive Radio Networks via Deep Reinforcement Learning von Xu, Chi, Zhang, Peifeng, Yu, Haibin

“… This article studies an edge computing cognitive radio network (EC-CRN), where multiple cognitive end devices (CEDs …”
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Parameter-Based Data Aggregation for Statistical Information Extraction in Wireless Sensor Networks von Jiang, Hongbo, Jin, Shudong, Wang, Chonggang

“… Wireless sensor networks (WSNs) have a broad range of applications, such as battlefield surveillance, environmental monitoring, and disaster relief …”
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Joint Optimization of Expected Age-of-Information and Its Variance in UAV-Assisted Networks von Ndiaye, Mouhamed Naby, El Hammouti, Hajar, Houcine Bergou, El

“… the minimization of its variance, which reduces the overall AoI variability across the network. To this end, we first derive the closed-form expressions for the expected AoI and its variance …”
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Reactive Message Passing for Scalable Bayesian Inference von Bagaev, Dmitry, de Vries, Bert

“… ReactiveMP.jl, which is a Julia package for realizing RMP through minimization of a constrained …”
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Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data von Hallac, David, Vare, Sagar, Boyd, Stephen, Leskovec, Jure

“… , or . For example, raw sensor data from a fitness-tracking application can be expressed as a timeline of a select few actions …”
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Energy-Efficiency Analysis of a Distributed Queuing Medium Access Control Protocol for Biomedical Wireless Sensor Networks in Saturation Conditions von Otal, Begonya, Alonso, Luis, Verikoukis, Christos

“… For this reason, this paper aims for the optimization of Medium Access Control (MAC) protocols for biomedical wireless sensor networks or wireless Body Sensor Networks (BSNs …”
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Robust fusion estimation for multisensor uncertain systems with state delay based on data-driven communication strategy von Wang, Jing, Mao, Yao, Li, Ziqiang, Gao, Junwei, Liu, Huabo

“… The pseudo cross covariance matrix used for estimation fusion is derived by local robust state estimation algorithm, which is based on state augmentation and expectation minimization of estimation errors …”
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Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization von Bajaj, Anu, Abraham, Ajith, Ratnoo, Saroj, Gabralla, Lubna Abdelkareim

“… The emerging areas of IoT and sensor networks bring lots of software applications on a daily basis …”
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Genetic Algorithm based Approach to Determine Optimal Collection Points for Big Data Gathering in Distributed Sensor Networks von Mishra, Alekha Kumar, Shree Thota, Suma, Bains, Simrat, Das, Meenakshi, Singhai, Shruti, Choudhary, Siddhant, Tripathy, Asis Kumar

“… The clustering-based Expectation Minimization technique proposed by Takaish et al. is an efficient approach to minimize the energy consumption of sensors while maintaining the node coverage …”
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Practical Precoding via Asynchronous Stochastic Successive Convex Approximation von Idrees, Basil M, Akhtar, Javed, Rajawat, Ketan

“… Such extra-gradient information is not used by SGD, but has been shown to be useful, for instance in the context of stochastic expectation-maximization, stochastic majorization-minimization …”
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Automatic Registration of Wide Area Motion Imagery to Vector Road Maps by Exploiting Vehicle Detections von Elliethy, Ahmed, Sharma, Gaurav

“… The registration is estimated via the expectation-maximization (EM) algorithm as the planar homography that minimizes the sum of weighted squared distances …”
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Mixed Discrete-Continuous Bayesian Inference: Censored Measurements of Sparse Signals von Xaver, Florian

“… To reduce the sensor's duty-cycle, signals below a threshold are censored, i.e., are set to zero. Sparse signals are random vectors that, or whose elements, are zero with given probabilities …”
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Aion: A Bandwidth Conserving Scheduler With Data Freshness Guarantee von Liu, Qingyu, Li, Chengzhang, Hou, Y. Thomas, Lou, Wenjing, Reed, Jeffrey H., Kompella, Sastry

“… This paper investigates a bandwidth minimization problem with Age of Information (AoI …”
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AoI‐Optimized UAV‐Assisted IoT Data Collection Using Hybrid Swarm Optimization and Collaborative Relay von Kumar, Ranajeet, Bhattacharya, Rajarshi

“… To achieve this, we introduce the Osprey combined Tuna swarm optimization (OCTSO) algorithm, which considers time, distance, and energy constraints to extend the network lifetime …”
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Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data von Hallac, David, Sagar Vare, Boyd, Stephen, Leskovec, Jure

“… For example, raw sensor data from a fitness-tracking application can be expressed as a timeline of a select few actions (i.e …”
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Inertial Navigation and Mapping for Autonomous Vehicles von Skoglund, Martin

“… or simply being inaccessible. Navigation and mapping require signal processing of vehicle sensor data to estimate motion relative to the surrounding environment and to simultaneously estimate various properties of the surrounding environment …”
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Vehicle Detection and Tracking in Wide Area Motion Imagery by Co-Registering and Exploiting Vector Roadmaps von Elliethy, Ahmed

“… Wide Area Motion Imagery (WAMI) is an emerging technology that allow images to be captured for relatively large areas that span substantial parts of a city …”
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