Results 71 to 80 of about 1,896 (253)

Resource Allocation Algorithm With Multi-Platform Intelligent Offloading in D2D-Enabled Vehicular Networks

open access: yesIEEE Access, 2019
The latest research of network and computing contributes greatly to the development of vehicular networks. However, in existing works, these two important enabling technologies are studied separately.
Yaping Cui, Yingjie Liang, Ruyan Wang
doaj   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer   +2 more
wiley   +1 more source

Vehicular Fog Resource Allocation Approach for VANETs Based on Deep Adaptive Reinforcement Learning Combined With Heuristic Information

open access: yesIEEE Access
Intelligent Transport Systems (ITS) are gradually progressing to practical application because of the rapid growth in network and information technology.
Yunli Cheng   +5 more
doaj   +1 more source

Software Defined Networking With Pseudonym Systems for Secure Vehicular Clouds

open access: yesIEEE Access, 2016
The vehicular cloud is a promising new paradigm, where vehicular networking and mobile cloud computing are elaborately integrated to enhance the quality of vehicular information services.
Xumin Huang   +5 more
doaj   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

open access: yesAdvanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination

open access: yesIEEE Access, 2018
The recent research trend of extending cloud computing to vehicles by leveraging under-utilized on-board capabilities [also known as vehicular cloud (VC)] is unsurprising, partly due to the increasing popularity of intelligent vehicles (with on-board ...
Qinglei Kong   +3 more
doaj   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad   +5 more
wiley   +1 more source

Research on Heat Transfer Enhancement of Spiral Grooved Tube Heat Exchangers Based on CFD and Artificial Intelligence

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley   +1 more source

Wood Sawdust as a Low‐Cost Filler in Whole‐Tire Reclaimed Rubber: Mechanical Characterization and Factory‐Scale Cost Analysis

open access: yesJournal of Applied Polymer Science, EarlyView.
Whole‐tire reclaimed rubber is upgraded with wood sawdust, a carpentry by‐product available at no cost, across loadings from 0 to 20 wt%. At 5 wt%, tensile strength, elongation, hardness, viscosity, and water absorption all stay within commercial specification, and real factory data show an annual production saving near $62,000 with no capital ...
Mohammed S. Matar   +3 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

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