过去一年中添加的文章，按日期排序
Advanced Optimization-based Weighted Features for Ensemble Deep Learning Smart Occupancy Detection Network for Road Traffic Parking
B Padmavathi, V Selvaraj - Journal of Network and Computer Applications, 2024 - Elsevier
2 天前 - … But, the validation process begins and is compared with different deep learning
models among them, the LSTM model is compared. In this graph analysis, the LSTM model …
models among them, the LSTM model is compared. In this graph analysis, the LSTM model …
Machine Learning Classification Algorithms-Based Smart Cities Applications: A Review
S Ismail, AM Abdulazeez - Indonesian Journal of Computer Science, 2024 - ijcs.net
8 天前 - … the use of ML classification algorithms for various smart city … of smart cities and the
role of ML in optimizing urban systems. … , healthcare models, and energy storage systems. It …
role of ML in optimizing urban systems. … , healthcare models, and energy storage systems. It …
A Channel Knowledge Map-Aided Personalized Resource Allocation Strategy in Air-Ground Integrated Mobility
10 天前 - … Deep Reinforcement Learning (DRL) to seek the optimal resource allocation strategy.
Simulation results indicate that the proposed method … performance of the models. We can …
Simulation results indicate that the proposed method … performance of the models. We can …
Design of Mathematical Model and Implementation of IoT Enabled Smart Secure Parking System
ML Keote - Communications on Applied Nonlinear Analysis, 2024 - internationalpubls.com
21 天前 - … machine learning methods to guess how many parking spots are available based
on … There have also been suggestions for optimization models that would cut down on the …
on … There have also been suggestions for optimization models that would cut down on the …
[HTML][HTML] IoT based smart framework to predict air quality in congested traffic areas using SV-CNN ensemble and KNN imputation model
22 天前 - … machine learning models, this study presents a machine … using various machine
learning and ensemble learning … The performance of these models is assessed based on …
learning and ensemble learning … The performance of these models is assessed based on …
Model predictive control of cyber-physical systems
M Donsante - 2024 - iris.uniroma1.it
25 天前 - … Machine learning based approaches, in particular Reinforcement Learning, promise
policies that are near optimal but come at an enormously high demand for computational …
policies that are near optimal but come at an enormously high demand for computational …
Intelligent Transport Traffic Flow Prediction Using Machine Learning Decision Tree Models: An Extensive Analysis
M MNIF GARGOURI, S Bouamama - Available at SSRN 4836779 - papers.ssrn.com
32 天前 - … of traffic flows is essential for effective traffic management and … efficacy of various
machine learning models-based decision … , traffic signal timing, and congestion management, …
machine learning models-based decision … , traffic signal timing, and congestion management, …
VANETs for Smart Cities
36 天前 - … machine is an efficient machine learning algorithm used to train the vehicular dataset;
when training is completed, the system … ; link failure; congestion control; optimized age of …
when training is completed, the system … ; link failure; congestion control; optimized age of …
[HTML][HTML] Traffic Flow Optimization at Toll Plaza Using Proactive Deep Learning Strategies
39 天前 - … a proactive traffic control strategy using advanced … congestion and optimize traffic
management. The approach involves deep learning convolutional neural network models (…
management. The approach involves deep learning convolutional neural network models (…
Deep Reinforcement Learning for Adaptive Traffic Signal Control in Smart Cities: An Intelligent Infrastructure Perspective
NBA Rahman - Applied Research in Artificial Intelligence and …, 2024 - researchberg.com
50 天前 - … Essentials: A step-by-step guide to building deep learning models using TensorFlow,
Keras, and MXNet,” 2018. [14] M. Abouelyazid, “Comparative Evaluation of VGG-16 and U…
Keras, and MXNet,” 2018. [14] M. Abouelyazid, “Comparative Evaluation of VGG-16 and U…