Suchergebnisse - related objects with distributed parameters

Parametric Time-Optimization of Two-Channel Control of Related Objects with Distributed Parameters von Rapoport, E. Ya, Ilina, N. A.

“… A formulation and constructive technology for solving parametrizable problems of two-channel time-optimal boundary control of two physically inhomogeneous objects with distributed parameters described …”
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Optimized Task Scheduling and Virtual Object Management Based on Digital Twin for Distributed Edge Computing Networks von Xu, Rongxu, Park, Chan-Won, Khan, Salabat, Jin, Wenquan, Moe, Sa Jim Soe, Kim, Do Hyeun

“… ) devices by proposing a solution based on digital twin in distributed edge computing networks …”
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Cloud Computing Image Recognition System Assists the Construction of the Internet of Things Model of Administrative Management Event Parameters von Xie, Peikun, Ma, Enchen, Xu, Zaihua

“… of administrative management, this article draws on research experience in related fields and considers the data characteristics and computing tasks of administrative management …”
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Geometric Analysis of Estimability of Target Object Shape Using Location-Unknown Distance Sensors von Saito, Hiroshi, Honda, Hirotada

“… We geometrically analyze the problem of estimating parameters related to the shape and size of a 2-D target object on the plane by using randomly distributed distance sensors whose locations are unknown …”
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Communication middleware technologies for industrial distributed control systems: A literature review von Balador, Ali, Ericsson, Nielas, Bakhshi, Zeinab

“… It is likely to bring a massive change to the way control systems function today. Future distributed control systems are expected to have an increased connectivity …”
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Scaling Up Optuna: P2P Distributed Hyperparameters Optimization von Cudennec, Loïc

“… This model is defined by a set of values describing properties such as the geometry of the object or other unknown parameters related to physical quantities …”
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Point-clouds as photogrammetric representations of linear objects surfaces: The impact of extrinsic shooting parameters on the change of roughness-quality of their textures von Đorđević, Đorđe, Đukanović, Gordana, Duta, Alina, Devetaković-Radojević, Mirjana, Popović, Nikola

“… This paper investigates the impact of various extrinsic shooting parameters regarding change of roughness-quality of surface textures of linear objects/elements when presented in the form …”
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Stabilization of weak solutions of parabolic systems with distributed parameters on the graph von Zhabko, Aleksei P., Provotorov, Vyacheslav V., Balaban, Olesya R.

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Age-related differences in appetitive trace conditioning and novel object recognition procedures von Marshall, Hayley J., Pezze, Marie A., Fone, Kevin C.F., Cassaday, Helen J.

“… •Appetitive trace conditioning and novel object recognition tests of working memory.•Transient between-groups working memory impairments aged 12 compared with 2 months …”
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Recent Advancements in Radar Imaging and Sensing Technology

“… and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology …”
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Controllability of vibrations of a system of objects with distributed and lumped parameters von Egorov, A. I., Znamenskaya, L. N.

“… The state functions of the system are related through the boundary conditions for the wave equation …”
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A locally-constrained YOLO framework for detecting small and densely-distributed building footprints von Xie, Yiqun, Cai, Jiannan, Bhojwani, Rahul, Shekhar, Shashi, Knight, Joseph

“… In related work, You-Only-Look-Once (YOLO) is a state-of-the-art deep learning framework for object detection …”
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A Rapid Base Parameter Physical Feasibility Test Algorithm for Industrial Robot Manipulator Identification Using a Recurrent Neural Network von Huang, Hao-Lun, Cheng, Ming-Yang, Huang, Tzu-Yuan

“… A rapid recurrent neural network (RNN)-based physical feasibility test algorithm for base parameters during the identification process of a robot dynamic model is proposed in this paper …”
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Distributed wide-area multi-object tracking with non-overlapping camera views von Wang, Youlu, Velipasalar, Senem, Gursoy, Mustafa Cenk

“… We present a distributed system for wide-area multi-object tracking across disjoint camera views …”
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OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery von Dias, Philipe, Tsaris, Aristeidis, Bowman, Jordan, Potnis, Abhishek, Arndt, Jacob, Yang, H Lexie, Dalton Lunga

“… While the pretraining of Foundation Models (FMs) for remote sensing (RS) imagery is on the rise, models remain restricted to a few hundred million parameters …”
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Microservice-Based Approach to Simulating Environmentally Friendly Equipment of Infrastructure Objects Taking into Account Meteorological Data von Kostromin, Roman, Basharina, Olga, Feoktistov, Alexander, Sidorov, Ivan

“… Nowadays, simulation modeling is a relevant and practically significant means in the field for research of infrastructure object functioning …”
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Deep Learning Hyper Parameter Optimization for Video Analytic in Centralized System von V., Arun, Bhattacharjee, Shuvam, Khandelwal, Ritik, Malik, Kanishk

“… A key spotlight in this paper is on tuning hyper-parameters related with the profound learning calculation used to build the model …”
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Localization of a radioactive source in an urban environment using Bayesian Metropolis methods von Hite, Jason, Mattingly, John, Archer, Dan, Willis, Michael, Rowe, Andrew, Bray, Kayleigh, Carter, Jake, Ghawaly, James

“… We present a method for localizing an unknown source of radiation in an urban environment using a distributed detector network …”
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The two-dimensional distributed object four-point model based on correlated signals emitters von Podkopaev, A. O., Stepanov, M. A., Tyrykin, S. V.

“… ) using models that emit statistically related signals. Previously, such models were considered only in relation to objects distributed over a single angular coordinate …”
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Efficient Small-Object Detection in Underwater Images Using the Enhanced YOLOv8 Network von Zhang, Minghua, Wang, Zhihua, Song, Wei, Zhao, Danfeng, Zhao, Huijuan

“… The improvement of related technologies holds practical significance. Although existing object-detection algorithms have achieved an excellent performance on land, they are not satisfactory in underwater scenarios due to two limitations …”
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