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Publication search results
found 235 matches
- 2025
- Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu:
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion 113: 102607 (2025) - 2024
- Roba Zayed, Maysam Abbod:
Air Quality Index Prediction Using DNN-Markov Modeling. Appl. Artif. Intell. 38(1) (2024) - Kalyan Chatterjee, Samla Suraj Kumar, Ramagiri Praveen Kumar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene:
Future Air Quality Prediction Using Long Short-Term Memory Based on Hyper Heuristic Multi-Chain Model. IEEE Access 12: 123678-123693 (2024) - Qiang Zhang, Qun Luo, Anan Zhao, Cijun Yu, Qing Wang, Yinglin Ke:
Onto-SAGCN: Ontology modeling and spatial attention-based graph convolution networks for aircraft assembly quality prediction. Adv. Eng. Informatics 60: 102531 (2024) - Yifeng Lu, Jinyong Wang, Dongsheng Wang, ChangKyoo Yoo, Hongbin Liu:
Incorporating temporal multi-head self-attention convolutional networks and LightGBM for indoor air quality prediction. Appl. Soft Comput. 157: 111569 (2024) - Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, Bhavya Alankar, Aditya Kumar Sahu:
Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities. Comput. Electr. Eng. 114: 109098 (2024) - Sergio Calo, Filippo Bistaffa, Anders Jonsson, Vicenç Gómez, Mar Viana:
Spatial air quality prediction in urban areas via message passing. Eng. Appl. Artif. Intell. 133: 108191 (2024) - Yang Wu, Chonghui Qian, Hengjun Huang:
Enhanced Air Quality Prediction Using a Coupled DVMD Informer-CNN-LSTM Model Optimized with Dung Beetle Algorithm. Entropy 26(7): 534 (2024) - Hanzhong Xia, Xiaoxia Chen, Zhen Wang, Xinyi Chen, Fangyan Dong:
A Multi-Modal Deep-Learning Air Quality Prediction Method Based on Multi-Station Time-Series Data and Remote-Sensing Images: Case Study of Beijing and Tianjin. Entropy 26(1): 91 (2024) - Mehmet Ulvi Simsek, Ibrahim Kök, Suat Özdemir:
DeepFogAQ: A fog-assisted decentralized air quality prediction and event detection system. Expert Syst. Appl. 251: 123920 (2024) - Lanxi Zhang, Xin Ma:
A novel multi-fractional multivariate grey model for city air quality index prediction in China. Expert Syst. Appl. 257: 125010 (2024) - Shilpa Sonawani, Kailas Patil:
Air quality measurement, prediction and warning using transfer learning based IOT system for ambient assisted living. Int. J. Pervasive Comput. Commun. 20(1): 38-55 (2024) - M. Lakshmipathy, M. J. Shanthi Prasad, G. N. Kodandaramaiah:
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning. Knowl. Inf. Syst. 66(1): 267-305 (2024) - Xiaoxia Chen, Hanzhong Xia, Min Wu, Yue Hu, Zhen Wang:
Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction. Knowl. Based Syst. 289: 111555 (2024) - Bingchun Liu, Jiayi Pei, Zhecheng Yu:
Stock price prediction through GRA-WD-BiLSTM model with air quality and weather factors. Int. J. Mach. Learn. Cybern. 15(5): 1967-1984 (2024) - Tishya Manna, A. Anitha:
Hybridization of rough set-wrapper method with regularized combinational LSTM for seasonal air quality index prediction. Neural Comput. Appl. 36(6): 2921-2940 (2024) - Gaurav Sharma, Savita Khurana, Nitin Saina, Shivansh, Garima Gupta:
Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities. Int. J. Syst. Assur. Eng. Manag. 15(7): 3060-3075 (2024) - P. Divya Bharathi, V. Anantha Narayanan, Palaniappan Bagavathi Sivakumar:
Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway. Sensors 24(15): 5069 (2024) - Youness El Mghouchi, Mihaela Tinca Udristioiu, Hasan Yildizhan:
Multivariable Air-Quality Prediction and Modelling via Hybrid Machine Learning: A Case Study for Craiova, Romania. Sensors 24(5): 1532 (2024) - Vinoth Panneerselvam, Revathi Thiagarajan:
Toward accurate multi-region air quality prediction: integrating transformer-based deep learning and crossover boosted dynamic arithmetic optimization (CDAO). Signal Image Video Process. 18(5): 4145-4156 (2024) - K. Saritha, V. Sarasvathi:
An Energy-Efficient and QoS-Preserving Hybrid Cross-Layer Protocol Design for Deep Learning-Based Air Quality Monitoring and Prediction. SN Comput. Sci. 5(3): 307 (2024) - Boutheina Jlifi, Mahdi Medini, Claude Duvallet:
A guided genetic algorithm-based ensemble voting of polynomial regression and LSTM (GGA-PolReg-LSTM) for congestion prediction using IoT and air quality data in sustainable cities. J. Supercomput. 80(13): 18797-18837 (2024) - Lin Li, Yunqi Mai, Yu Chu, Xiaohui Tao, Jianming Yong:
An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors. CSCWD 2024: 3188-3193 - Yonghong Li, Chao Li, Huiming Duan, Cheng Diao:
Air Quality Prediction Method Based On Integrating Grey Model And Neural Network Model. CVDL 2024: 51:1-51:6 - Bao Liu, Zhi Qi:
Extracting features for enhanced air quality prediction: a self-tuning spatio-temporal residual network approach fusing adaptive adjacency matrix and attention mechanism. GAIIS 2024 - Juncheng Jin, Junhao Zhang, Junjie Tang, Shengrui Liang, Zehui Qu:
Spatio-Temporal Data Mining with Information Integrity Protection: Graph Signal Based Air Quality Prediction. ICASSP 2024: 5190-5194 - Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj, Subrata Nandi, Sujoy Saha:
Real-Time Air Quality Predictions for Smart Cities using TinyML. ICDCN 2024: 246-247 - Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj, Subrata Nandi, Sujoy Saha:
Efficient Air Quality Index Prediction on Resource-Constrained Devices using TinyML: Design, Implementation, and Evaluation. ICDCN 2024: 304-309 - R. Kingsy Grace, Jayasakthi Balaji G, Vishnu S, Saveetha V:
Air Quality Index Prediction using Bi-LSTM and Spider Monkey Optimization. ICDCS 2024: 27-31 - Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. ICLR 2024
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