A hybrid suitability mapping model integrating GIS, machine learning, and multi-criteria decision analytics for optimizing service quality of electric vehicle charging stations

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105397 - 105397

Published: April 8, 2024

Language: Английский

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A design and development of distance measure for Fermatean fuzzy sets with varied applications in real-time

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

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Curb Parking Occupancy Prediction based on Real-time Fusion of Multi-view Spatial-temporal Information using Graph Attention Gated Networks

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112781 - 112781

Published: Jan. 1, 2025

Language: Английский

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Constraint Optimization Model for Dynamic Parking Space Allocation

Sensors, Journal Year: 2024, Volume and Issue: 24(12), P. 3988 - 3988

Published: June 19, 2024

Managing car parking systems is a complex process because multiple constraints must be considered; these include organizational and operational constraints. In this paper, constraint optimization model for dynamic space allocation introduced. An ad hoc algorithm proposed, presented, explained to achieve the goal of our proposed model. This paper makes research contributions by providing an intelligent prioritization mechanism, considering user schedule shifts constraints, assigning suitable slots based on distribution. The implemented demonstrate applicability approach. A benchmark constructed well-defined metrics validate results achieved.

Language: Английский

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Evaluating nano-metal oxide mixed matrix membranes for whey protein separation using hybrid intelligent optimization learning

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 205, P. 388 - 400

Published: April 11, 2024

Language: Английский

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Deep Learning based Efficient Parking Management System Framework

Published: April 18, 2024

Language: Английский

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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3929 - 3929

Published: Dec. 13, 2024

To address the issues of slow convergence and large errors in existing metaheuristic algorithms when optimizing neural network-based subway passenger flow prediction, we propose following improvements. First, replace random initialization method population SSA with Circle mapping to enhance its diversity quality. Second, introduce a hybrid mechanism combining dimensional small-hole imaging backward learning Cauchy mutation, which improves individual sparrow selection optimal positions helps overcome algorithm’s tendency become trapped local optima premature convergence. Finally, position update process by integrating cosine strategy an inertia weight adjustment, global search ability, effectively balancing exploitation, reducing risk insufficient precision. Based on analysis correlation between different types station flows weather factors, ISSA is used optimize hyperparameters CNN-LSTM model construct prediction based ISSA-CNN-LSTM. Simulation experiments were conducted using card swipe data from Harbin Metro Line 1. The results show that provides more accurate optimization average values standard deviations 12 benchmark test function simulations being closer values. ISSA-CNN-LSTM outperforms SSA-CNN-LSTM, PSO-ELMAN, GA-BP, CNN-LSTM, LSTM models terms error evaluation metrics such as MAE, RMSE, MAPE, improvements ranging 189.8% 374.6%, 190.9% 389.5%, 3.3% 6.7%, respectively. Moreover, exhibits smallest variation across stations. demonstrates superior parameter accuracy speed compared SSA. suitable for precise at stations, providing theoretical support density trend forecasting, organization management, emergency response, improvement service quality operational safety.

Language: Английский

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Advanced optimization-based weighted features for ensemble deep learning smart occupancy detection network for road traffic parking

Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: 230, P. 103924 - 103924

Published: June 20, 2024

Language: Английский

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A Study of Intelligent Parking: Urban Efficiency Through Advanced Automated Systems Based on Green Energy Management

2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 7

Published: June 27, 2024

Language: Английский

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