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Driver Identification Using Optimized Deep Learning Model in Smart Transportation

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Real-Time Intelligent Automatic Transportation Safety Based on Big Data Management

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Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning

Momynkulov, Z., Dosbayev, Z., Suliman, A., Abduraimova, B., Смайлов, Н., Zhekambayeva, M., & Zhamangarin, D. (2023) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.036205 · Cited by 20 · see citing works

Building a Greener World: Harnessing the Power of IoT and Smart Devices for Sustainable Environment

Shafik, W., & Azrour, M. (2024) · World sustainability series · doi:10.1007/978-3-031-56292-1_3 · Cited by 20 · see citing works

An intelligent FL-based vehicle route optimization protocol for green and sustainable IoT connected IoV

Narsimhulu, P., Chithaluru, P., Al-Turjman, F. M., Guda, V., Inturi, S., Stephan, T., & Kumar, M. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101240 · Cited by 19 · see citing works

An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training

Taboga, V., Bellahsen, A., & Dagdougui, H. (2021) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2021.3066999 · Cited by 18 · see citing works

Smart grid security enhancement by detection and classification of non‐technical losses employing deep learning algorithm

Jeyaraj, P. R., Nadar, E. R. S., Kathiresan, A. C., & Asokan, S. P. (2020) · International Transactions on Electrical Energy Systems · doi:10.1002/2050-7038.12521 · Cited by 18 · see citing works

Smart cities: Understanding policies, standards, applications and case studies

Salkuti, S. R. (2021) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v11i4.pp3137-3144 · Cited by 18 · see citing works

Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic Programming

Liao, X.-C., Chen, W., Jia, Y.-H., & Qiu, W.-J. (2023) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2023.3296671 · Cited by 18 · see citing works

Face Recognition: Challenges and Issues in Smart City/Environments

Praveen, G., & Dakala, J. (2020) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets48256.2020.9027290 · Cited by 17 · see citing works

A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare

Zheng, Y., Hao, Q., Wang, J., Gao, C., Chen, J., Jin, D., & Li, Y. (2024) · ACM Computing Surveys · doi:10.1145/3695986 · Cited by 21 · see citing works

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks

Troullinou, E., Tsagkatakis, G., Chavlis, S., Turi, G. F., Li, W., Losonczy, A., Tsakalides, P., & Poirazi, P. (2020) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2020.3028581 · Cited by 15 · see citing works

On the role of AI in building generative urban intelligence

Bittencourt, J. C. N., Flores, T. K. S., de Jesus, T. C., & Costa, D. M. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-025-11469-3 · Cited by 16 · see citing works

Pedestrian Identification and Tracking within Adaptive Collaboration Edge Computing*

Tao, M., Li, X., Xie, R., & Ding, K. (2023) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd57460.2023.10152794 · Cited by 14 · see citing works

Jointly Prediction of Activities, Locations, and Starting Times for Isolated Elderly People

Chaudhary, A., Mishra, R., Gupta, H. P., & Shukla, K. K. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3121296 · Cited by 14 · see citing works

Data Mining in Internet of Things Systems: A Literature Review

Sarhan, A. M. (2023) · Journal of Engineering Research - Egypt/Journal of Engineering Research · doi:10.21608/erjeng.2023.186378.1143 · Cited by 14 · see citing works

Vehicle Detection and Recognition Approach in Multi-Scale Traffic Monitoring System via Graph-Based Data Optimization

Wieczorek, G., Tahir, S. B. U. D., Akhter, I., & Kurek, J. (2023) · Sensors · doi:10.3390/s23031731 · Cited by 14 · see citing works

Use of learning approaches to predict clinical deterioration in patients based on various variables: a review of the literature

Al-Shwaheen, T. I., Moghbel, M., Hau, Y. W., & Ooi, C. Y. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-021-09982-2 · Cited by 13 · see citing works

Smart City Public Safety Intelligent Early Warning and Detection

Sha, Y., Li, M., Xu, H., Zhang, S., & Feng, T. (2022) · Scientific Programming · doi:10.1155/2022/7552601 · Cited by 13 · see citing works

Fog Computing in 5G Enabled Smart Cities: Conceptual Framework, Overview and Challenges

Khan, M. A. (2019) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc246665.2019.9071695 · Cited by 14 · see citing works

Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction

Hu, X., Meng, Q., Yang, D. X., & Li, M. (2024) · Energy and Buildings · doi:10.1016/j.enbuild.2024.114456 · Cited by 12 · see citing works

Internet of Intelligent Things: Injection of Intelligence into IoT Devices

Singh, S. P., Solanki, A., Singh, T., & Tayal, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818576-6.00005-8 · Cited by 12 · see citing works

DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Scheduling

Cai, S., Wang, D., Wang, H., Lyu, Y., Xu, G., Zheng, X., & Vasilakos, A. V. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2021.3118419 · Cited by 12 · see citing works

Decentralized optimal voltage control for wind farm with deep learning-based data-driven modeling

Li, X., Huang, S., Qu, Y., Luo, D., Peng, H., & Wu, Q. (2024) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2024.110195 · Cited by 11 · see citing works

Collaborative Hotspot Data Collection with Drones and 5G Edge Computing in Smart City

Song, P.-C., Pan, J., Chao, H., & Chu, S. (2023) · ACM Transactions on Internet Technology · doi:10.1145/3617373 · Cited by 11 · see citing works

Inductive reasoning for significant concept and pattern discovery in cognitive IoT

Jha, V., & Tripathi, P. (2024) · Service Oriented Computing and Applications · doi:10.1007/s11761-024-00416-9 · Cited by 9 · see citing works

Adaptive spatial–temporal graph attention network for real-time traffic forecasting

Huang, H., Lee, J.-H., Ge, Y., Roh, S.-B., & Zhao, X. Z. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.112883 · Cited by 9 · see citing works

SCMC: Smart city measurement and control process for data security with data mining algorithms

Selvarajan, S., Manoharan, H., Goel, S., Akili, C. P., Murugesan, S., & Joshi, V. M. (2023) · Measurement Sensors · doi:10.1016/j.measen.2023.100980 · Cited by 9 · see citing works

Synthetic Pedestrian Routes Generation: Exploring Mobility Behavior of Citizens through Multi-Agent Reinforcement Learning

Glass, A., & Noennig, J. R. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.09.395 · Cited by 8 · see citing works

A Novel Subspace-Based GMM Clustering Ensemble Algorithm for High-Dimensional Data

He, Y., He, Y., Zhan, Z., Philippe, F.-V., & Huang, J. Z. (2025) · Chinese Journal of Electronics · doi:10.23919/cje.2023.00.153 · Cited by 7 · see citing works

Advanced Persistent Threats (APTs): Detection Techniques and Mitigation Strategies

Malik, V., Khanna, A., Sharma, N., & Nalluri, S. (2024) · International Journal of Global Innovations and Solutions (IJGIS) · doi:10.21428/e90189c8.91e89a3e · Cited by 7 · see citing works

Machine Learning Approach to Quantity Management for Long-Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China

Zhou, Q., Wong, C. J., & Xian, S. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/8847752 · Cited by 7 · see citing works

The Role of Artificial Intelligence in Smart Cities: Systematic Literature Review

Dominiković, I., Ćukušić, M., & Jadrić, M. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-77417-2_5 · Cited by 6 · see citing works

Self-Attention based encoder-Decoder for multistep human density prediction

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Smart Economy Implementation in Supporting SMEs Growth: Case Study in Indonesia & Malaysia Smart Cities

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MobiSamadhaan—Intelligent Vision-Based Smart City Solution

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Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios

Donato, G. W. D., Damiani, A., Parravicini, A., Bionda, E., Soldan, F., Tornelli, C., & Santambrogio, M. D. (2021) · IEEE International Forum on Research and Technology for Society and Industry (RTSI) · doi:10.1109/rtsi50628.2021.9597339 · Cited by 5 · see citing works

Evaluation of Smart Building Integration into a Smart City by Applying Machine Learning Techniques

Shahrabani, M. M. N., & Apanavičienė, R. (2025) · Buildings · doi:10.3390/buildings15122031 · Cited by 5 · see citing works

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning

Xie, Y., Vosoughi, S., & Hassanpour, S. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956245 · Cited by 5 · see citing works

Making Smart Cities Human-Centric: A Framework for Dynamic Resident Demand Identification and Forecasting

Zhang, W., Guo, B., Zhao, W. M., He, Y.-T., & Wang, X. (2025) · Sustainability · doi:10.3390/su17219423 · Cited by 4 · see citing works

Deep learning Achievements and Opportunities in Domain of Electronic Warfare Applications

Ammar, M. A., Abdel-Latif, M. S., Badran, K. M., & Hassan, H. A. B. (2021) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis52592.2021.9694245 · Cited by 4 · see citing works

AI-Driven Predictive Analysis for Urban Traffic Management: A Novel Approach

Poonam, K. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24oct1444 · Cited by 4 · see citing works

Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications

Chiu, D., Xu, T., & Gondra, I. (2021) · ACM Transactions on Internet Technology · doi:10.1145/3448611 · Cited by 4 · see citing works

Tagging Multi-Label Categories to Points of Interest From Check-In Data

Rimjhim, N. A., & Dandapat, S. K. (2023) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2022.3229338 · Cited by 4 · see citing works

Grey Wolf Optimizer with Deep Learning based Short Term Traffic Forecasting in Smart City Environment

Jegadeesan, R., Rapaka, E. V., Himabindu, K., Behera, N. R., Shukla, A. K., & Kumar, A. (2023) · International Conference on Smart Systems and Inventive Technology (ICSSIT) · doi:10.1109/icssit55814.2023.10061127 · Cited by 4 · see citing works

AI-Driven Urban Traffic Optimization to Assess Complex Traffic Patterns for Public Traffic Control and Mobility

Prajwal, V., Abhay, R., Rohith Gowda, D., & Savitha, G. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.56630 · Cited by 3 · see citing works

Comprehensive review of computational intelligence based smart city community

Rath, A., Patnaik, S., & Panda, G. (2021) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-202919 · Cited by 3 · see citing works

Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects

Muhammad, A. N., Aseere, A. M., Chiroma, H., Shah, H., Gital, A. Y., & Hashem, M. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-05151-8 · Cited by 86 · see citing works

Deep Learning from Smart City Data

Chen, Q. (2022) · University of Liverpool · doi:10.17638/03143495

Deep Learning for Smart Cities: Innovations, Challenges, and Future Directions

Jalil, N. A., Leen, M. W. E., Salleh, N. M., & Jafry, N. H. A. (2024) · International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART) · doi:10.1109/smart63170.2024.10815243

Transforming Urban Spaces and Industries

Sharma, A., & Rani, S. (2024) · CRC Press eBooks · doi:10.1201/9781003438205-1

A review on deep learning for future smart cities

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