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title: "Discover Artificial Intelligence 2026 — all accepted papers, page 6"
description: "All 1,550 papers of Discover Artificial Intelligence 2026 · page 6 of 16, the most cited first; those with our summary link to it."
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# Discover Artificial Intelligence 2026: all accepted papers

1,550 papers · page 6 of 16 · the most cited first · [← Discover Artificial Intelligence 2026](https://md.research.elamur.ai/free/en/venues/discover-artificial-intelligence/2026/)

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501. **[A semantic layer architecture for removing schema identifiers from external LLM prompts, with model-dependent accuracy trade-offs ↗](https://doi.org/10.1007/s44163-026-02147-6)**Munil Yang
502. **[A semantic-aligned stacked ensemble framework for cross-semester student performance prediction ↗](https://doi.org/10.1007/s44163-026-02328-3)**Jian Xiao, Ping Han, Rongke Zeng et al.
503. **[A semi supervised fake news detection model using the grasshopper optimization algorithm ↗](https://doi.org/10.1007/s44163-026-01004-w)**Kouroush Rezvani, Ali Ghaffari, Mohammad Reza Ebrahimi Dishabi
504. **[A sequential hybrid framework for medical feature selection using population transfer ↗](https://doi.org/10.1007/s44163-026-02217-9)**Chaimae Lazrak, Anas Bouayad, Adnane Talha
505. **[A spatial compliance framework for evaluating minimal intervention in small sample diffusion inpainting for archaeological image restoration ↗](https://doi.org/10.1007/s44163-026-01767-2)**Qiao Sui, Haiqiong Yang, Yuqi Fang et al.
506. **[A spatio-temporal graph convolutional meta-learning framework for high-precision biomechanical analysis of badminton strokes ↗](https://doi.org/10.1007/s44163-026-01183-6)**Honglin Yang
507. **[A spatiotemporal attentive recurrent neural network for robust RSS based indoor localization ↗](https://doi.org/10.1007/s44163-026-01957-y)**Sohaib Bin Altaf Khattak, Moustafa M. Nasralla, Shan Ullah
508. **[A spatiotemporal deep learning framework for electricity price linkage forecasting using graph attention and reinforcement learning ↗](https://doi.org/10.1007/s44163-026-01885-x)**Hongtao Xie, Yan Li, Qiushuang Li et al.
509. **[A structured exploratory multidisciplinary evaluation of four large language models responding to frequently asked patient questions about pregabalin ↗](https://doi.org/10.1007/s44163-026-02394-7)**Yannick Laurent Tchenadoyo Bayala, Ismaël Ayouba Tinni, Thierry Boris Wend-Yam Yaméogo et al.
510. **[A study of personalized behavior prediction for non-native English learners under the cross-modal adversarial learning framework ↗](https://doi.org/10.1007/s44163-026-00892-2)**Yaru Zheng
511. **[A study on basketball formation recognition based on the Swin Transformer algorithm ↗](https://doi.org/10.1007/s44163-026-01894-w)**Zhixiang Jin
512. **[A study on the GraphRAG semantic retrieval algorithm for multimodal data ↗](https://doi.org/10.1007/s44163-026-02023-3)**Chujing Liao, Peishan Ye, Anni Huang et al.
513. **[A style aware attention transformer for fine grained interior design style recognition ↗](https://doi.org/10.1007/s44163-026-02202-2)**Bao Nguyen, Son Dao, Azadeh Alavi et al.
514. **[A survey of election prediction solutions: methods, challenges, and future directions ↗](https://doi.org/10.1007/s44163-025-00821-9)**Shayan Sdegh Amal Nikraftar, Saman Keshvari, Hassan Naderi et al.
515. **[A survey of fundamental indicators, machine learning techniques and feature extraction techniques for stock price prediction ↗](https://doi.org/10.1007/s44163-026-01635-z)**Ozancan Özdemir, Michael L. Biehl, Nicolai Petkov
516. **[A survey of reward hacking in agentic large language model systems ↗](https://doi.org/10.1007/s44163-026-01980-z)**Arun Morampudi, Ujval Irrink, Rahul Grandhi et al.
517. **[A survey of world models for physical AI with uncertainty representation and control ↗](https://doi.org/10.1007/s44163-026-02122-1)**Sven Kirchner, Nils Purschke, Alois Knoll
518. **[A survey on LLM-enhanced reinforcement learning in financial markets ↗](https://doi.org/10.1007/s44163-026-02018-0)**Ghusoon Hadi johni AL- aldaffaie, Alireza Taheri, Amirfarhad Farhadi et al.
519. **[A survey on deep reinforcement learning for personalized treatment featuring challenges and a theoretical framework ↗](https://doi.org/10.1007/s44163-026-01733-y)**Bipasha Kaul, Rashmi Naveen Raj, Veena Mayya et al.
520. **[A survey on predictive analytics and preventive strategies for gestational diabetes mellitus using big data and machine learning ↗](https://doi.org/10.1007/s44163-026-01788-x)**Vandana Jagtap, Shraddha R. Khonde, Shrinivas N. Dharwadkar et al.
521. **[A survey study of Cambodian university lecturers’ experiences and perceptions of AI use ↗](https://doi.org/10.1007/s44163-026-02313-w)**Kimkong Heng, Sarin Sok, Koemhong Sol et al.
522. **[A system for graded assessment and training pathway generation of musical performance talent capabilities based on multimodal deep learning ↗](https://doi.org/10.1007/s44163-026-01796-x)**Zhongshuang Liang
523. **[A systematic AI-based approach for inverse dynamics modelling and validation on UR5 manipulator ↗](https://doi.org/10.1007/s44163-026-02076-4)**Sathees Kumar Nataraj
524. **[A systematic evaluation of LSTM, XGBOOST and hybrid models for intraday trading using a risk-focused machine learning framework ↗](https://doi.org/10.1007/s44163-026-01318-9)**Lokesh Kumar Soni, Mangal Singh, Aditya Jain et al.
525. **[A systematic literature review of ChatGPT adoption in Arab higher education ↗](https://doi.org/10.1007/s44163-026-01227-x)**Amr Assad, Mohammed Shukri Alomari
526. **[A systematic literature review of LLM-based data visualization ↗](https://doi.org/10.1007/s44163-026-02291-z)**Chiara Ceccarini, Paola Salomoni, Silvia Mirri et al.
527. **[A systematic research synthesis of generative AI literacy in English language education ↗](https://doi.org/10.1007/s44163-026-02178-z)**Yuan Zhang, Xiaoting Qiu, Jiangang Wang
528. **[A systematic review and descriptive analysis of artificial intelligence applied to recruitment and personnel selection in the present and possible future ↗](https://doi.org/10.1007/s44163-026-01488-6)**Antonio González Morales, María del Milagro Martín López, Fernando Góngora-Larequi
529. **[A systematic review and thematic analysis of physics-informed machine learning in construction and infrastructure systems ↗](https://doi.org/10.1007/s44163-026-01747-6)**Peamsook Sanit, Lapyote Prasittisopin
530. **[A systematic review of AI induced technostress and human resource development interventions ↗](https://doi.org/10.1007/s44163-026-01855-3)**Vaishali Wankhede, Komal Khandelwal
531. **[A systematic review of AI powered adaptive smart home security using multimodal sensor fusion edge intelligence and privacy preserving architectures ↗](https://doi.org/10.1007/s44163-026-02157-4)**Zineb Lazrak, Anas Bouayad, Marwa Boumaiz
532. **[A systematic review of artificial intelligence and cybersecurity integration covering national strategies, economic implications, and policy recommendations ↗](https://doi.org/10.1007/s44163-026-02309-6)**Hussen Asefa Musa
533. **[A systematic review of artificial intelligence and internet of things applications in precision agriculture ↗](https://doi.org/10.1007/s44163-026-01955-0)**Anita Veerappa Karkikatti, Rayangouda H. Goudar, Vijayalaxmi N. Rathod et al.
534. **[A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries with comparative benchmarks from high income settings ↗](https://doi.org/10.1007/s44163-026-01958-x)**Joe Phiri, Aaron Zimba, Chiyaba Njovu et al.
535. **[A systematic review of artificial intelligence approaches to diagnosing and monitoring asthma and COPD ↗](https://doi.org/10.1007/s44163-026-02057-7)**Holly Burrows, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer
536. **[A systematic review of attention duality in deep visual models for performance and faithfulness tradeoffs ↗](https://doi.org/10.1007/s44163-026-02209-9)**Dikdik Krisnandi, Kalamullah Ramli, Prima Dewi Purnamasari et al.
537. **[A systematic review of deep learning techniques for learners’ engagement prediction in electronic learning systems ↗](https://doi.org/10.1007/s44163-026-01761-8)**God’swill Theophilus, Christopher Ifeanyi Eke, Jeffrey Ovre Agushaka et al.
538. **[A systematic review of emerging healthcare technologies across clinical care pathways ↗](https://doi.org/10.1007/s44163-026-01725-y)**Melvin Yashnil Ramkhelawan, Santoso Wibowo, Srimannarayana Grandhi
539. **[A systematic review of generative AI in higher education learning analytics and decision support ↗](https://doi.org/10.1007/s44163-026-01888-8)**Husna Hafiza Razami, Abtar Darshan Singh, Gabriel Avelino R. Sampedro et al.
540. **[A systematic review of human vs machine intelligence and ethical tensions in human resource management ↗](https://doi.org/10.1007/s44163-026-01926-5)**Karen Saad Zakaria, Mohammad Nisar Khattak
541. **[A systematic review of intelligent adaptive e-learning systems using LDA topic modeling and machine learning classification ↗](https://doi.org/10.1007/s44163-026-01822-y)**Agostino Marengo, Douglas Sales Alves Amante, Alessandro Pagano et al.
542. **[A systematic review of machine learning and explainable artificial intelligence for electrocardiogram based cardiovascular disease prediction ↗](https://doi.org/10.1007/s44163-026-02070-w)**Sabit Ahamed Preanto, Md. Hasan Imam Bijoy, Tapon Paul et al.
543. **[A systematic review of meta-cognitive approaches to AGI ↗](https://doi.org/10.1007/s44163-026-01401-1)**Nishit Bohra M, Shivali Amit Wagle, Shruti Patil
544. **[A systematic review of protein language models for protein structure prediction and a proposed biological readiness taxonomy ↗](https://doi.org/10.1007/s44163-026-02333-6)**Tahsien Al‐Quraishi, Waseem Alwan Zaboon, Jemal Abawajy et al.
545. **[A systematic survey of artificial intelligence methods for ECG-based cardiovascular disease prediction ↗](https://doi.org/10.1007/s44163-026-02170-7)**Thanuja M, Soumyashree M. Panchal, Prasanna Lakshmi G S
546. **[A textual-guided compact visual attention features for continuous sign language recognition ↗](https://doi.org/10.1007/s44163-026-01466-y)**V. Prathyusha, P.V.V. Kishore
547. **[A three-tier deep learning framework with mobile application integration for multi-crop disease diagnosis ↗](https://doi.org/10.1007/s44163-026-01062-0)**Aarti Kochhar, Gagan Narang, Shashikant Patel et al.
548. **[A tokenized framework for personalized poster generation in visual communication arts ↗](https://doi.org/10.1007/s44163-026-01501-y)**崔兰珍
549. **[A transfer learning with data augmentation approach to emotion classification of Indonesian tweets ↗](https://doi.org/10.1007/s44163-026-01881-1)**Dvir Levi, Phillip M. LaCasse, Lyssa A. White
550. **[A transferable mental workload assessment model for human-machine collaboration scenarios ↗](https://doi.org/10.1007/s44163-026-01598-1)**Ping Xiao, Huizhen Chen
551. **[A transformer-based intelligent online virtual conductor assistance system for choirs ↗](https://doi.org/10.1007/s44163-026-01289-x)**Wenwen Zhou
552. **[A trustworthy cross-domain AI framework for fundus disease classification using hybrid CNN fusion and supervised domain adaptation ↗](https://doi.org/10.1007/s44163-026-02067-5)**Ali M. Duhaim, Abbas Mohsin Al-Bakry
553. **[A two stage framework integrating base deep models with multiscale residual attention fusion for complex temporal dynamics ↗](https://doi.org/10.1007/s44163-026-01316-x)**Abdellah Elzaar, Toufik Bakir, Nabil Benaya et al.
554. **[A two-hidden-layer Levenberg–Marquardt neural network for supervised trajectory approximation of a nonlinear anthrax in animals epidemic model ↗](https://doi.org/10.1007/s44163-026-02326-5)**Vikash Panthi, Nikita Kashyap, Manoj Gupta et al.
555. **[A two-stage framework with contrastive representation learning for drug-disease association prediction under positive-unlabeled learning ↗](https://doi.org/10.1007/s44163-026-01692-4)**Thi Huong Lan Nguyen, Tho Hoan Pham, Văn Thống Nguyễn et al.
556. **[A vision transformer framework for power equipment hazard identification based on conditional diffusion modality enhancement and adversarial domain adaptation ↗](https://doi.org/10.1007/s44163-026-01646-w)**Ruchao Liao, Duanjiao Li, Gao Liu et al.
557. **[A visual design method for Dunhuang murals based on deep learning and graphical algorithms ↗](https://doi.org/10.1007/s44163-026-02064-8)**Shiyue Zhang, Yongru Guo
558. **[A visual tempo-based attention network for human action recognition ↗](https://doi.org/10.1007/s44163-026-01119-0)**Maryam Koohzadi, Nasrollah Moghadam Charkari, Foad Ghaderi
559. **[ABS-CSV_VAE: a compressed image quality optimization and feature enhancement method based on singular value decomposition ↗](https://doi.org/10.1007/s44163-026-00987-w)**Yanpin Mei
560. **[ACXNet++ an attention augmented hybrid deep learning framework for cross task mental workload estimation from EEG neural manifolds ↗](https://doi.org/10.1007/s44163-026-02154-7)**P. Sundaravadivel, G. Abinaya
561. **[AI and computer vision driven fault detection framework for enhancing response accuracy in transmission and distribution production command systems ↗](https://doi.org/10.1007/s44163-026-01782-3)**Hua Li, Penghui Jia, Shuai Zhang et al.
562. **[AI and data driven product management for sustainable energy innovations ↗](https://doi.org/10.1007/s44163-026-01452-4)**Daniel Chwaifo Malann, Ayomide Titus Ogungbemi, Ali B.M. Ali et al.
563. **[AI governance under threat managing data poisoning, drift, and integrity challenges ↗](https://doi.org/10.1007/s44163-026-01959-w)**Umamaheswari Shanmugam, Mohan Kumar Rajendran, Jawahar Natarajan et al.
564. **[AI powered handwritten answer script evaluation framework for automated assessment of text and figure based responses ↗](https://doi.org/10.1007/s44163-026-02181-4)**Md Nurul Amin, Md. Ashikur Rahman Khan, Ishtiaq Ahammad
565. **[AI supported doodling and gallery walk defence provide visible evidence of student reasoning in higher education assessment ↗](https://doi.org/10.1007/s44163-026-02234-8)**Khalid Khamis Al Saadi, Raja Muznah Hussain, Gwo‐Jen Hwang
566. **[AI tool features and their influence on social presence and engagement in foreign language learning ↗](https://doi.org/10.1007/s44163-026-01636-y)**Nur Aeni, Ahmad Syawaluddin, Muthmainnah Muthmainnah et al.
567. **[AI-Cloud for next generation smart cites and smarter infrastructure ↗](https://doi.org/10.1007/s44163-026-01032-6)**Sam Goundar, Basetty Mallikarjuna, Puspalatha Chittem Setty
568. **[AI-ML driven map-matching algorithm for distinguishing highway and service road vehicular movements under GNSS degradation ↗](https://doi.org/10.1007/s44163-026-01560-1)**P. Sundaravadivel, R. Augustian Isaac, U. Kumaran et al.
569. **[AI-Powered Student Dropout Prediction and Personalized Intervention Using TC-Net in Education ↗](https://doi.org/10.1007/s44163-026-01241-z)**Meng Luo
570. **[AI-augmented personalized treatment in healthcare a comprehensive survey of models benchmarking and deployment challenges ↗](https://doi.org/10.1007/s44163-026-01187-2)**Vijayalaxmi N. Rathod, Rayangouda H. Goudar, Geetabai S Hukkeri
571. **[AI-based real-time piano performance scoring on embedded systems using MIDI alignment ↗](https://doi.org/10.1007/s44163-026-01922-9)**Hao Zhou, Longlong Chen, Chenyu Luo
572. **[AI-based vision techniques for human activity recognition in surveillance videos ↗](https://doi.org/10.1007/s44163-026-01758-3)**Disha Deotale, Madhushi Verma, P. Suresh et al.
573. **[AI-driven cybersecurity in the gulf states: governance challenges and a proposed GCC-wide ethical framework ↗](https://doi.org/10.1007/s44163-026-01790-3)**Mustafa Osman I. Elamin
574. **[AI-driven early warning systems for real estate bubbles ↗](https://doi.org/10.1007/s44163-026-00899-9)**Omar Al-Amary
575. **[AI-driven hybrid model for intelligent accident recognition ↗](https://doi.org/10.1007/s44163-026-01275-3)**Tejaswi Wani, Suvarna Pawar
576. **[AI-powered knowledge engines as research infrastructure for systematic knowledge discovery ↗](https://doi.org/10.1007/s44163-026-01780-5)**Gary Welz
577. **[AI-supported instructional design and preservice teachers’ perceived metacreativity: a mixed-methods study ↗](https://doi.org/10.1007/s44163-026-02319-4)**Ece Leventoğlu, Burak Ayçiçek
578. **[AIMHI-sport: an AI-driven mobile human–computer interaction framework for personalized sports performance analysis ↗](https://doi.org/10.1007/s44163-026-01629-x)**Zhenghong Li, Zhitian Li, Zhitian Li et al.
579. **[ARTEMIS enables reusable analytical context generation from scientific literature ↗](https://doi.org/10.1007/s44163-026-02485-5)**Dan Li, Binsheng Gong, Weida Tong et al.
580. **[Adapting and validating an artificial intelligence literacy scale for Ethiopian higher education using structural equation modeling ↗](https://doi.org/10.1007/s44163-026-01149-8)**Ermiyas Tsehay Birhanu, Getachew Worku Tefera, Shouket Ahmad Tilwani et al.
581. **[Adaptive IQR-based unsupervised intrusion detection for DoS/DDoS attacks in 5G networks using deep autoencoders ↗](https://doi.org/10.1007/s44163-026-02482-8)**Kumar Shreyansh, Prashant Pranav
582. **[Adaptive architecture-aware CT-guided knowledge distillation for low-data lung disease classification from chest X-rays ↗](https://doi.org/10.1007/s44163-026-02239-3)**Preeti Sharma, Govind Murari Upadhyay, Devershi Pallavi Bhatt
583. **[Adaptive artificial intelligence framework for skill level prediction and music training recommendation ↗](https://doi.org/10.1007/s44163-026-01988-5)**Xinyi Liu
584. **[Adaptive computer vision based k means clustering and fuzzy pyramid support feature model for accurate classification of wheat rust disease ↗](https://doi.org/10.1007/s44163-026-01355-4)**Deepak Kumar, Vinay Kukreja, Vandana Ahuja et al.
585. **[Adaptive digital filtering and TreeSHAP feature selection for non-invasive diabetes classification from photoplethysmography signals ↗](https://doi.org/10.1007/s44163-026-01871-3)**Swandip Singha, Aditta Chowdhury
586. **[Adaptive dual backbone feature fusion with compact latent representation learning for pap smear image classification ↗](https://doi.org/10.1007/s44163-026-01989-4)**Vinitha Panicker J, G. Gopakumar, Jyothisha J. Nair
587. **[Adaptive hypergraph learning improves early stage construction cost prediction ↗](https://doi.org/10.1007/s44163-026-01771-6)**Zhao Lilong
588. **[Adaptive knowledge graph and learning path generation algorithm for artificial intelligence ↗](https://doi.org/10.1007/s44163-026-01379-w)**Fangqi Yi, Di Zhu, Shulian Li
589. **[Adaptive learning behavior recognition using multimodal transformer based dynamic modality regulation ↗](https://doi.org/10.1007/s44163-026-02112-3)**Lei Zujun, Xueyao Du, Faze Liang
590. **[Adaptive mathematical competency assessment using graph neural networks and reinforcement learning ↗](https://doi.org/10.1007/s44163-026-00924-x)**Rommel Gutierrez, Alexandra Maldonado, William Eduardo Villegas-Ch
591. **[Adaptive multimodal large language model with hierarchical cross modal grounding for real time industrial visual anomaly detection on edge devices ↗](https://doi.org/10.1007/s44163-026-02008-2)**P. Sundaravadivel, U. Kumaran, E. S. Vinothkumar et al.
592. **[Adaptive multimodal liveness detection framework for biometric authentication against spoofing and deepfake attacks ↗](https://doi.org/10.1007/s44163-026-01911-y)**Prof. Ankita Kotalwar, Rahul Joshi
593. **[Adaptive multiscale dilated Bi-LSTM for automated ECG anomaly detection and classification ↗](https://doi.org/10.1007/s44163-026-01052-2)**V. Neelanaryanan, S. K. Sudarsanam, Prakash Veeraraghavan et al.
594. **[Adaptive optimization and interaction method for immersive exhibition space experiences integrating multimodal physiological sensing ↗](https://doi.org/10.1007/s44163-026-02246-4)**Shangjiao Li, Yu Ye
595. **[Adaptive search space scaling in self-adaptive genetic algorithms for high-dimensional global black-box optimization problems ↗](https://doi.org/10.1007/s44163-026-01186-3)**Ivan Pavlovich Malashin, Evgenii A. Sopov, Vladimir Nelyub et al.
596. **[Adaptive stage visual effect optimization using CPSO–DDQN for dynamic theatrical environments ↗](https://doi.org/10.1007/s44163-026-01807-x)**Chuan Fang, Ruoxi Wang, Dan Sun
597. **[Addressing SOTIF with a runtime monitor ensemble for AI-based perception systems ↗](https://doi.org/10.1007/s44163-026-02186-z)**Felix Schaller, Rüdiger Ehlers, Iqra Aslam et al.
598. **[Admissibility defines structural limits on optimisation in artificial intelligence ↗](https://doi.org/10.1007/s44163-026-02252-6)**Duston Moore
599. **[Advanced LSTM frameworks for hotel bookings leveraging hippopotamus-inspired optimization ↗](https://doi.org/10.1007/s44163-026-00988-9)**Garima Gakhar, Pinky Yadav, Niyaz Ahmad Wani et al.
600. **[Advances in artificial intelligence techniques for diagnosis of cardiac diseases ↗](https://doi.org/10.1007/s44163-026-01323-y)**Essam Halim Houssein, Hebatollah Mostafa, Abdelmgeid Amin Ali et al.

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