Discover Artificial Intelligence 2026: all accepted papers
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- Diabetes question answering method based on knowledge graph and large language model ↗Yuelong Zhang, Songpu Li, Tianrui Lyu et al.
- Diagnosis and characterization of stroke using EEG and deep learning: emerging methods and clinical outlook ↗Elahe Ghiyabi, Houshang Shaker Nigjeh, Sajjad Mortazavi
- Diagnostic performance of ChatGPT for acute appendicitis compared with the Alvarado score: a retrospective diagnostic accuracy study ↗Amr A. Elgharib, Moustafa I. Ghanem, Rawan S. Ibrahim et al.
- Digital twin-driven edge–cloud collaborative remote fault diagnosis and intelligent predictive maintenance for critical hydropower equipment ↗Dong Yang, Zhile Jiang, Kai Zheng et al.
- Discriminative analysis of breath profiles in tuberculosis patients using machine learning classifiers ↗Atlang Gild. Mpolokang, Tlotlo Cassandra. Setlhare, Somnath Bhattacharyya et al.
- Dominance aware multimodal rumor verification using reliability calibrated multi-expert inference ↗Luu Van Nhat Hao, Tieu Phung Mai Suong, Nguyen Khanh Vy et al.
- Drawnet an optimizer aware transfer learning framework for Parkinson’s disease detection from hand drawn spirals and waves ↗Makkapati Lakshmi Prasanna, Thulasi Bikku, Tony Jan et al.
- Drivers and outcomes of AI adoption in developing learners cognitive skills through the lens of TRA and SOR framework ↗Nadia Sultana, Afruza Haque, Rasheda Akter Rupa
- Dual stream adaptive sequential recommendation ↗Swastika Ghosh, Sourav Mandal, Rohini Basak et al.
- Dual transformer with local and global information for medical image segmentation ↗Ping Wang, Yiwen Qin, Xiaopeng Zheng
- Dual-stream context aggregation network for waste sorting ↗Chenan Wu, Yanning Yang
- Dynamic obstacle avoidance method for 3D animation group based on multi-agent reinforcement learning ↗Zhenzhen Wang, Nannan Yang, Baoyang Dong
- Dynamic weighted federated learning with client level differential privacy for DDoS detection in IoT networks ↗Laiba Maryam, Bilal Shabbir Qaisar, Mubashar Raza et al.
- Early detection of online public opinion rumors for cross-event generalization ↗Ke Kang, Zhiyong Yuan
- Early detection of strawberry and grape diseases under real-world field conditions using deep learning ↗Sultan Zeb, Haleem Farman, Muhammad Shabir et al.
- Early prediction of diabetes using a reduced and interpretable feature set with a scalable machine learning framework ↗Roopashri Shetty, Ayanika Paul, Archana Praveen Kumar et al.
- Early risk prediction of gestational diabetes using routine antenatal care clinical data using machine learning ↗Emmanuel Ahishakiye, Justine Nakirijja, Shallon Ahimbisibwe
- Effectiveness of using AI-powered microsoft search progress for enhancing information literacy in research tasks ↗Jayaron Jose, Blessy Jayaron Jose, Amal Salim Ali Al Sheidi
- Effects of AI-based and video instruction on machine learning competencies among computing and robotics education students ↗Christian Basil Omeh, Valentine Joseph Owan, Ph.D, Ismaila Temitayo Sanusi et al.
- Efficacy of e-supervision on students’ academic behaviour in the era of artificial intelligence ↗Oluwaseyi Aina Gbolade Opesemowo, Sulaimon Adewale, Titilope Rachael Opesemowo
- Efficient and responsible transformer based conversational agents for emotionally supportive dialogue ↗Divya Saleela, Nancy V, Akhil Mathew Philip et al.
- Efficient emotion recognition from thermal faces using histogram and Hu features ↗C N Ravindra Kumar, B C Soundarya, B. J. Ambika et al.
- Efficient hybrid deep transfer learning framework for wrist X-ray abnormality classification using the MURA dataset ↗Hasmukh J. Chauhan, Vipul Shah, Himanshukumar Patel et al.
- Efficient hybrid state space architecture with linear attention enhances diabetic retinopathy severity assessment ↗Tianrui Cun, Aidi Xu, Hua Jiang et al.
- Efficient student behavior detection in classroom videos using a keyframe aware multitask transformer ↗V. Vinothina, Eiko Takaoka, Augustine George et al.
- Embedded LSTM-autoencoder for FFT-guided BLDC motor fault detection ↗João Pedro Matos-Carvalho, Francisco Damião, Stéfano Frizzo Stefenon et al.
- Empirical analysis of Q learning, DQN and DDQN for intraday trading ↗Suchita Nilesh Borkar, Anil S. Jadhav
- End to end real time deep learning framework for synergistic flaw detection in complex X ray images ↗Mingyang You, Mindi Geng, Wenzhi Zeng et al.
- Energy constraints in large scale artificial intelligence and insights from human cognition for efficient large language models ↗Mahmoud Amiri, Azadeh Mokari, Thomas Wilhelm Bocklitz
- Energy-aware multi-agent sand-table formation control via cross-layer SAC–GNN and federated learning ↗Ruting Li, Wenni Xiao, Yan Sun et al.
- Engineering student perceptions of generative AI use in learning trust judgment and information seeking ↗Yara Mohammed, Hassan Qandil, Brady Lund
- English reading comprehension ability assessment based on multimodal machine learning ↗Tang Xiaohui, Qian Liu
- Enhanced chronic kidney disease detection using auxiliary classifier GANs and hybrid data augmentation on CT imaging ↗Princy Randhawa, Chitransh Saxena, Gireesh Kumar et al.
- Enhanced fraud detection in credit card transactions using a Bayesian Gaussian mixture model approach ↗Suboh M. Alkhushayni, Du’a Al-Zaleq, Mutasem K. Alsmadi et al.
- Enhanced multiclass classification of AML-related cells using YOLOv12, Inception-ResNet-v2, and ResNet50 transfer learning models ↗Enas E. Ahmed, Mayar Moner, Salah A. Aly
- Enhancing clinical gait abnormality analysis with multimodal deep learning ↗Pınar Güner Şahan, Erva Alacan, Suhap Şahın
- Enhancing supply chain efficiency with AI: predicting and preventing customer backorders ↗Otmane Khtou, Taoufyq Elansari, Meryam El Mouhtadi et al.
- Ensemble probability meta-classifier for attack detection leveraging user behavior and big data analytics ↗K. Prasanthi, Vishnupriya S Devarajulu, P.Venkata Krishna et al.
- Ensembles machine learning for short duration rainfall intensity forecasting ↗Susilowati, Aprizal, Dyah Indriana Kusumastuti
- Ethical integration of generative artificial intelligence in Islamic religious education involves human mediation and source verification ↗Shahazwan Mat Yusoff, Anwar Farhan Mohamad Marzaini, Siti Nadya Zynuddin et al.
- Evaluating Gemma 3 27B for local undergraduate physics tutoring ↗Marcel Völschow, P. Buczek, Philipp Riefer et al.
- Evaluating GenAI for automated EU AI Act compliance against human experts ↗Maria Assunta Cappelli, Léonore Bozovic, Giovanna Di Marzo Serugendo et al.
- Evaluating adaptation strategies for low resource word sense disambiguation in Oromo using the BERT base multilingual cased model ↗Liyachew Edeti, Million Meshesha, Feda Negesse
- Evaluating large language model performance in US FDA regulatory science ↗Khulud Bukhari, Rosa Rodríguez-Monguió, Beatriz Lopez-Bermudez et al.
- Evaluating large language models for philosophical reasoning on ancient Indian texts ↗Sakshi Chauhan, Isha Karn, Varun Dutt
- Evaluation of physical training effectiveness for college students based on deep reinforcement learning ↗Wang Chen, Bo An, Shuang Huang
- Examining the educational use of generative AI by integrating ECT and TTF using a hybrid SEM-ANN approach ↗İbrahim Arpacı, Kasım Karataş, Omer Gibreel
- Explainable AI-driven edge–cloud framework for cluster-based predictive cyber threat detection in IIoT-enabled internet of vehicles ↗Tamara Kokenovna Zhukabayeva, Zulfiqar Ahmad, Nurdaulet Karabayev et al.
- Explainable attention-augmented CNN-BiGRU hybrid model for automated sleep stage classification in pediatric subjects with obstructive sleep apnea ↗Sneha Nargundkar, Supriya Shanbhag, Veena Desai
- Explainable deep learning framework for real-time insect pest detection in smart agriculture ↗J. Briskilal, M. K. Vidhyalakshmi, Aswathy K Cherian et al.
- Explainable ensemble learning framework for bond strength prediction in 3D printed concrete structures ↗Qaim Shah, Waheed Ali Khoso, Fawad Iqbal et al.
- Explainable hybrid deep learning framework for air quality index prediction in Indian cities ↗Priyal Singhal, Praneet Saurabh, Mayank Sharma et al.
- Explainable machine learning for agricultural supply chain price volatility risk screening ↗Md Raisul Islam Khan, Taycir Ben Abid, Mohammad Abu Jahed
- Explainable machine learning for predicting preterm birth and associated factors in Sub Saharan Africa ↗Makda Fekadie Tewelgne, Tirualem Zeleke Yehuala, Mekuriaw Nibret Aweke et al.
- Explainable machine learning models for AI enabled credit scoring and financial inclusion in emerging markets ↗Yazan Taher Shawabkeh, Anas Ahmad Bani Atta, Khaled Aldarabah et al.
- Explainable medicinal plant identification using a hybrid CNN-vision transformer framework ↗Faisal Firdous, Deepak Gupta, Hemant Sood et al.
- Explainable multimodal deep learning with dual attention for prostate cancer classification from MRI ↗Nasser M. Al-Zidi, D Vasumathi
- Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture ↗Sunil Kumar Mohapatra, A. Sanjib Kumar Patro, Lulen Kumar Sahu et al.
- Explaining paddy price inefficiency using econometrics and explainable AI ↗R. Rathipriya, V. Shiva Sankari
- Explanation audits reveal silent failures of machine learning models under distribution shift ↗Faraz Masood, Sehba Masood, Arman Rasool Faridi et al.
- Exploring artificial intelligence models for tea leaf disease diagnosis: a review ↗Megha Gupta, Sunaina Garg, Nabamita Deb
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