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Discover Artificial Intelligence 2026: all accepted papers

1,550 papers · page 1 of 16 · the most cited first · ← Discover Artificial Intelligence 2026

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  1. Automated brain tumor detection using advanced deep learning models ↗Manas Uniyal, Chirag Saini, Divya Prakash Singh et al.10 citations
  2. Helping LLMs improve code generation using feedback from testing and static analysis ↗Greta Dolcetti, Vincenzo Arceri, Eleonora Iotti et al.8 citations
  3. Unveiling the intellectual landscape of artificial intelligence and consumer behavior ↗Siti Zulaikha, Ivana Rosediana Dewi, Masmira Kurniawati8 citations
  4. Explainable artificial intelligence for automated flatfoot detection in foot x-ray images ↗Himel Devnath, Liton Devnath, Dr. Md. Monowar Hossain7 citations
  5. Challenges for generative AI in legal reasoning ↗Eljas Linna, Tuula Linna6 citations
  6. Explainable churn prediction in telecom with tabular ML five model benchmark and SHAP analysis ↗Ismoth Zerine, Md Mainul Islam, Mohammad Aman Ullah Khan et al.6 citations
  7. Digital sales automation and buyer engagement: investigating the mediating role of perceived value in B2B exchanges ↗Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Mohammad, Asokan Vasudevan et al.5 citations
  8. Quantum-like coherence derived from the interaction between chemical reaction and its environment ↗Yukio-Pegio Gunji, Andrew Adamatzky, Panagiotis Mougkogiannis et al.5 citations
  9. A systematic review of artificial intelligence frameworks for holistic disaster management ↗Sanjana Muthukumar, Srishankari Rajesh, Aditi Talpallikar et al.4 citations
  10. Advancing the generation and integration of traditional motifs through AI-based techniques ↗Thitirat Siriborvornratanakul, Supparesk Rittikulsittichai4 citations
  11. Enablers and barriers to AI adoption: evidence from the heavy machinery industry ↗Alena Valtonen, Kirsi Kokkonen, Minna Saunila et al.4 citations
  12. Explainable artificial intelligence for brain tumor classification via fine-tuned transfer learning ↗Essam Halim Houssein, Amr M. Gamal, Eman M. G. Younis et al.4 citations
  13. Exploring potential of large language models for automated essay scoring in education ↗Nimra Mughal, Ali Shariq Imran, Sher Muhammad Daudpota et al.4 citations
  14. Application of distinct motivational types in shaping generative AI (GenAI) adoption behaviour ↗Stanny Dias, Benny Godwin J. Davidson, Arun Antony Chully et al.3 citations
  15. Applications of machine learning in plant biotechnology ↗Israel Ogwuche Ogra, Yardjouma Silué, Olaniyi Amos Fawole et al.3 citations
  16. Comparative evaluation of large language models in generating clinical insights for HIV associated oral Kaposi sarcoma ↗Adetola Emmanuel Babalola, Victor Miracle Johnson, Olubusayo Bolarinwa et al.3 citations
  17. Energy-efficient neuromorphic computing for ultra-low latency cognitive radio: a hardware-software co-design framework for 6 G spectrum intelligence ↗Сергій Олексійович Семеріков, Pavlo P. Nechypurenko, Тетяна Анатоліївна Вакалюк et al.3 citations
  18. Exploring YOLO applications in dentistry through a systematic review of detection and segmentation models ↗Henri Hartman, Rannisa Fitriasyari Amalia Ruslandi, Denny Nurdin et al.3 citations
  19. Machine learning predicts prolonged patient length of stay in a resource constrained Ethiopian hospital ↗Abraham Keffale Mengistu, Kerebih Getinet Bitew, Tefera Alemayehu et al.3 citations
  20. Self-efficacy and instructor support as determinants of ChatGPT effectiveness in student learning ↗Abdulkadir Jeilani Mohamud, Mohamed Abdullahi Nor, Mohamed Sahane et al.3 citations
  21. Soccer event detection using deep learning ↗Ali Karimi, Ramin Toosi, Mohammad Ali Akhaee3 citations
  22. University students’ perceptions and adoptions of AI: a cross-national study ↗Fernando Marmolejo‐Ramos, Rhoda Abadia, Özge Karakale et al.3 citations
  23. A conceptual framework for machine vision integration in manufacturing SMEs ↗Jonas Werheid, Johannes Zysk, Aymen Gannouni et al.2 citations
  24. A customized MobileNetV3Large-based deep learning framework for plant disease detection ↗Jabin Rahaman, Priyanti Paul, Aditta Chowdhury et al.2 citations
  25. Adversarial manipulation of CAN bus IDS ↗Vita Santa Barletta, Danilo Caivano, Christian Catalano et al.2 citations
  26. Artificial intelligence for wildfire detection and management ↗Erik Karger, Arne Jeppe, Rafael Ziolkowski et al.2 citations

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