可用
发表于 2025-3-23 11:33:22
An IoT-VANET-Based Traffic Management System for Emergency Vehicles in a Smart Cityas. Increased vehicle density on roads has resulted in plethora of challenges for traffic management in urban cities worldwide. Failure in transporting accident victims, critical patients and medical equipment on time has led to loss of human lives which are the results of road congestions. This pap
evaculate
发表于 2025-3-23 17:02:24
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cringe
发表于 2025-3-23 18:08:35
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赦免
发表于 2025-3-23 22:30:00
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Congeal
发表于 2025-3-24 02:36:55
A Machine Learning Approach to Find the Optimal Routes Through Analysis of GPS Traces of Mobile Citycarbon footprints/pollution, traffic congestion and high energy consumption. Traffic congestion is one of the major issues in any big city which has huge negative impacts, like wastage of productive time, longer travel time and more fuel consumption. In this paper, we aim to analyse GPS trajectories
excrete
发表于 2025-3-24 09:46:00
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持久
发表于 2025-3-24 10:47:00
A Colored Petri Net Based Modeling and Analysis of Packet Dropping Scenario for Wireless Networkivity is detected. Thus, packet dropping, manifestation of losing data, demands a detailed analysis for identification of the corresponding causes. In general, the packet dropping may occur due to the congestion, malicious activities, and random errors. In this work, the overall packet dropping scen
Irremediable
发表于 2025-3-24 17:17:22
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随意
发表于 2025-3-24 20:38:25
A Two-Tailed Chain Topology in Wireless Sensor Networks for Efficient Monitoring of Food Grain Storare is heavy loss of food grains during transit and storage. This is due to lack of adequate infrastructures and technologies to monitor adverse environmental conditions that result in storage losses. In this paper, we propose a topology for wireless sensor networks called two-tailed chain topology t
extrovert
发表于 2025-3-25 00:37:39
Designing an Adaptive Vehicular Density-Based Traffic Signal Controlling Systemaffic jams in complex environmental conditions such as sunny, rainy, cloudy days, sunrise, sunset, or nighttime. We design a control algorithm for complex environmental conditions, which can automate a traffic signal with minimal computation cost and maximum accuracy. It uses dark channel prior appr