Discover Artificial Intelligence 2026: all accepted papers
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- Post quantum blockchain framework using probabilistic hidden state deep learning for smart IoT systems ↗T G Keshavamurthy, S. Guruprasad, K. N. Hareesh et al.
- Power data entity recognition method based on BiGRU-CRF and NLP ↗Min Gao, Lei Wang
- Pre-control scheme generation for extreme-weather power imbalance risk using multi-resource frequency regulation and deep reinforcement learning ↗Zexin Mu, Yuanting Hu, Hongyu Chen et al.
- Predicting ESG adoption among Malaysian SMEs using explainable machine learning ↗Showherda Ad-Din, Manjeevan Seera
- Predicting corporate bankruptcy through a scalable and interpretable knowledge distillation framework ↗Md. Abul Kalam Azad, Abdul Kadar Muhammad Masum, Md. Abdur Rahman et al.
- Predicting iron folic acid utilization among pregnant women in Ethiopia leveraging machine learning ↗Jenberu Mekurianew Kelkay, Desalegn Mitiku Kidie, Abraham Dessie Gessesse et al.
- Predicting psychosocial resilience in healthcare workers during COVID-19 using interpretable machine learning ↗Pablo Torres-Carrion, Alicia Zavala-Calahorrano, Hector F. Gomez A. et al.
- Prediction of agricultural production based on multivariate data with feature aware machine learning models ↗Rajeev Kumar, P. K. Singh, Rohit Kumar Tiwari
- Prediction of cardiovascular disease by using a genetic algorithm over a stacked ensemble model ↗Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder et al.
- Prediction of delayed postgraduate graduation using machine learning in Ugandan higher education ↗Musoke Robert Lubelenga, Florence N. Kivunike, Halimu Chongomweru et al.
- Prediction of ground vibration induced by high-speed trains over elevated tracks based on machine learning ↗Cui Wang, Shixin Yan, Liqun Fu
- Prediction of water-conducting fracture zone height under repeated mining in close-distance coal seam groups using a BP neural network ↗Dongdong Zhang, Jianping Guo, Fanfan Liu et al.
- Predictive modeling of CD4 count levels in HIV/AIDS patients with TB co-infection: a machine learning framework for treatment optimization ↗Michael Arthur Ofori, Daniel Biftu Bekalo, Aboma Temesgen et al.
- Predictive modeling of user retention based on online behavior in media service platforms ↗Jinmei Chen, Dongye Chen
- Privacy- preserving network slice classification in 6G using federated CNN-BiLSTM ↗Megha Jain, Ravi Verma, Sunil Kumar et al.
- Process-aware programming assessment through temporal knowledge graph reasoning and LLM verification ↗Shuzhan Wu, Wenjun Zhou, Qiaofeng Zhang et al.
- Prostate gland cancer detection and grade classifying using gleason score-based machine learning approach ↗P. Sundaravadivel, R. Augustian Isaac, Premnath K. et al.
- Public perceptions of legal chatbots and regulatory asymmetry in online discourse ↗Sezai Tunca, Yavuz Selim Balcioglu, Ayşe İLGÜN KAMANLI et al.
- QAOA-coupled urban congestion prediction and dynamic path optimization for low-altitude traffic monitoring scenarios ↗Qian Sun, Wenni Xiao, Fangfang Wu et al.
- Quantum classical convolutional neural network using ResNet-18 and feature optimization for multiclass skin lesion classification ↗G. Suryanarayana, Mohd Dilshad Ansari, L. N. C. Prakash K. et al.
- Quantum-inspired scenario-adaptive differential privacy with hybrid attention–residual deep learning for utility-aware urban location analytics ↗Mohammed Hasan A., Nemi Chandra Rathore
- Real-time hallucination correction in vision-language models using dynamic knowledge graph verification ↗Quang-Vinh Dang, Ngoc-Son-An Nguyen, Thi-Bich-Diem Vo et al.
- Real-time highlight clip recognition and storage for live sports events based on YOLOv11 ↗Du Huanran, Yuming Feng, Jiaxin Wu et al.
- Real-time object detection via enhanced YOLOv5s with attention mechanisms and multi-scale feature fusion ↗Chaoming Lin, 杨武盖, Guolan Wu et al.
- Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI ↗Alexander Maximilian Röser, Roman Alexander Englert
- Region-adaptive multimodal learning with morphology-guided feature modulation for brain tumor segmentation ↗Naga Maha Lakshmi K., Durgesh Nandan, Sushma Parihar
- Regionally adaptive representation learning for surface-level nitrogen dioxide reconstruction from satellite and auxiliary data ↗Krishna Advaith Siddhartha Rangavajjula, Shivanaga Venkata Sai Hari Subhash Vadrevu, Sattu Raviteja et al.
- Regulating AI in medical imaging and diagnostics in Bangladesh through ethical and legal doctrinal analysis ↗Banga Kamal Basu, Mohammad Ferdous Rahman Sarker, Rahima Akter et al.
- Relevance and artificial intelligence ↗Pertti O. Saariluoma, Matthias Rauterberg A
- Research and application of CCLDBO-TCN-BiGRU-attention hybrid model for temperature prediction ↗Rongchuan Yu, Linli Jiang, Wenxin Li et al.
- Research and application of the impact of distributed photovoltaic power supply access on distribution network automation technology ↗Xue Chen, Qimiao He, Cong Liu et al.
- Research on dynasty identification of Yue Kiln Celadon using multi-scale feature fusion and deep learning ↗Changyong Zhu, Xue Lian Bai, Chunxia Zhang et al.
- Research on optimizing the heritage transmission path of Muyu Song using AI technology ↗Kangli Chen, Fei Li, Jing Chen
- Research on power control and load balancing based on distributed algorithm in satellite communication system ↗Dinghe Fan, Wei Qiang Wu, Shilei Zhou
- Research on the application of deep learning in bridge health monitoring data analysis and anomaly diagnosis ↗Zhiqiang Feng, Huan Wang, Guobin Tang et al.
- Research on transformer-based semantic reasoning and attack provenance mechanism for complex attack scenarios ↗Feng Guo, Shuang Qiu, Hao Feng et al.
- Research on wideband acoustic imaging method based on sparse Bayesian learning ↗Zhaoyi Liao, Qiang Zeng, Lirong Liu et al.
- Resource-aware hybrid homomorphic encryption scheduling for privacy-preserving edge intelligence ↗Hamid El Bouabidi, Mohamed El Ghmary, Mohamed Amnai
- Review of machine learning and blockchain integration for crop monitoring and management in smart farming ↗Abdennabi Morchid, Mohammed Nabil Kabbaj, Mohammed Benbrahim
- Risk calibrated selective tabular transformers for explainable Alzheimer’s disease staging ↗A. Nasreen Ali, K. P. Madhu
- Risk-aware feature-token attention with subgroup-calibrated fairness regularization for survival ↗Vijay H. Kalmani, Siddhi Avinash Patil, Amol C. Adamuthe
- Risk-confidence co-estimation in insider threat detection using uncertainty-aware deep sequential models for proactive risk management ↗Akampurira Paul, Sadiq O. Bashir, Mohammed Dahiru Buhari et al.
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