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title: "Discover Artificial Intelligence 2026 — all accepted papers, page 7"
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# Discover Artificial Intelligence 2026: all accepted papers

1,550 papers · page 7 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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601. **[Agentic AI dual channel fusion for sentiment aware adaptive learning in educational AI tool adoption ↗](https://doi.org/10.1007/s44163-026-02118-x)**Honghong Wang, Ruifang Bai
602. **[Algebraic width certificates guarantee interval type-2 fuzzy aggregation in multicriteria decision making ↗](https://doi.org/10.1007/s44163-026-02104-3)**Renikunta Ramesh, Ramsha Mehreen
603. **[Algorithm for generating ancient architectural components based on Rhino.Inside and Grasshopper ↗](https://doi.org/10.1007/s44163-026-01743-w)**Hong Li, Yonghui Shi, Qiwei Li
604. **[Algorithmic affective blunting quantifies the collapse curve of interpretative failure in large language models ↗](https://doi.org/10.1007/s44163-026-01573-w)**Ryan SangBaek Kim
605. **[Aligning academic artificial intelligence research with the national innovation strategy of Saudi Arabia under vision 2030 ↗](https://doi.org/10.1007/s44163-026-01971-0)**Zeineb Al Hadi Nagara, Ahmad Haidar, Henry Hassan AYOUB
606. **[Aligning machines with human values: opacity and ethical sustainability of AI ↗](https://doi.org/10.1007/s44163-026-01111-8)**Francesco Maria Cianciaruso
607. **[An AD detection system using topic enhancement and dynamic differential privacy for intelligent elderly care ↗](https://doi.org/10.1007/s44163-026-02166-3)**Junyan Qu, Hao Wang, Ming Sun
608. **[An AI-driven reinforcement learning framework for graduate employability prediction and career decision support ↗](https://doi.org/10.1007/s44163-026-01612-6)**Qi Feng, Maixia Liu
609. **[An AI-enabled decision support framework for sustainable inventory planning in buffet restaurant supply chains ↗](https://doi.org/10.1007/s44163-026-01878-w)**Kullapapruk Piewthongngam, Suphakan Homkhampad, Arthit Apichottanakul
610. **[An AI-enabled framework for reducing administrative bureaucracy in higher education while maintaining governance and compliance ↗](https://doi.org/10.1007/s44163-026-01565-w)**Nazar Zaki, Amna Alneyadi, Mariam Othman Alamoodi et al.
611. **[An IoT enabled multi sensor platform for noninvasive blood glucose monitoring via breath analysis. ↗](https://doi.org/10.1007/s44163-026-01116-3)**Ritik Sharma, Varun Dutt, Shivani Sharma et al.
612. **[An adaptive agentic AI framework for counterfactual validation and adversarial lookahead in automated incident response ↗](https://doi.org/10.1007/s44163-026-02058-6)**Sheetal Prasad Kizhakel, Sagar Dhanraj Pande
613. **[An advanced NLP and machine learning-based chatbot system for effective Igbo language communication ↗](https://doi.org/10.1007/s44163-026-01442-6)**Akinbowale Nathaniel Babatunde, Bukola Fatimah Balogun, Sunday Adeola Ajagbe et al.
614. **[An affective computing framework for preschool music education using MoE architecture and neural radiance fields ↗](https://doi.org/10.1007/s44163-026-01858-0)**Xinxin Shi
615. **[An artificial intelligence approach for efficient and explainable kinship verification ↗](https://doi.org/10.1007/s44163-026-00959-0)**Ruaa A. Al-Falluji, Abdullah S. Alharthi, Marwan Ali Albahar
616. **[An artificial intelligence driven adaptive learning system for enhancing student engagement and academic achievement in STEM education ↗](https://doi.org/10.1007/s44163-026-02279-9)**Lanlan Zhang, Zhenping Zhang
617. **[An autoencoder and Grey Wolf Optimizer-based framework for fixing the inconsistent pairwise comparison matrix in multicriteria decision-making ↗](https://doi.org/10.1007/s44163-026-01605-5)**Shalu Kaushik, Aditya Jayesh Aiya, Sangeeta Pant et al.
618. **[An autoregressive lag aware sparse transformer framework for demand forecasting ↗](https://doi.org/10.1007/s44163-026-01204-4)**Ishan Surana, Divej Ahuja, Udai Pratap Singh et al.
619. **[An edge aware low light object detection method based on an improved YOLO11n model ↗](https://doi.org/10.1007/s44163-026-01470-2)**Qi Chen, Zhiwen Wang, Xianqin Liang et al.
620. **[An efficient and high-quality circuit schematic generation method based on action mask and graph neural network ↗](https://doi.org/10.1007/s44163-025-00726-7)**Jie Yang, Kai Qiao, Jian Chen et al.
621. **[An efficient ant colony-driven hierarchical attention sparse autoencoder for intelligent digital education quality evaluation ↗](https://doi.org/10.1007/s44163-026-00962-5)**Bian Dong
622. **[An end‑to‑end multi‑source heterogeneous data fusion and spatiotemporal graph convolutional network for enterprise financial crisis early warning ↗](https://doi.org/10.1007/s44163-026-02453-z)**Yang Qu
623. **[An english financial audit anomaly detection system for construction industry based on machine learning ↗](https://doi.org/10.1007/s44163-026-01664-8)**Lingyun Long, Shuang Xu, Aichao Li et al.
624. **[An enhanced discrete dung beetle optimizer with multi-strategy for influence maximization ↗](https://doi.org/10.1007/s44163-026-01558-9)**Xianhong Zeng, Huan Li, Yu Zhang et al.
625. **[An ensemble deep learning framework for skin disease classification with explainable and generative AI support ↗](https://doi.org/10.1007/s44163-026-01218-y)**Faisal Firdous, Dhruv Yadav, Syed Zoofa Rufai et al.
626. **[An ensemble transfer learning approach for automated tuberculosis diagnosis from chest x-rays using optimized feature selection and XGBoost classification ↗](https://doi.org/10.1007/s44163-026-01835-7)**D. N. Keerthana, D. N. Kiran Pandiri, Ram Kumar Karsh et al.
627. **[An evaluation of ambient artificial intelligence scribes at two academic medical centers ↗](https://doi.org/10.1007/s44163-026-01159-6)**Jacob Franklin, Ling Chu, Samuel McDonald et al.
628. **[An evaluation of motor activity time-segmentation approaches for depression classification using machine learning ↗](https://doi.org/10.1007/s44163-026-01574-9)**Cristóbal Estrada-Salinas, Enrique Garcia-Ceja
629. **[An evaluation of super resolution reconstruction quality for infrared composite material images using deep neural networks ↗](https://doi.org/10.1007/s44163-026-01673-7)**Jing Xiao, Y Zhang, Chong Liu et al.
630. **[An explainable AI framework for spatial hotspot detection and temporal forecasting of urban crime ↗](https://doi.org/10.1007/s44163-026-02388-5)**Shristi Bose, Jahnavi Raja, Shaleen Bhatnagar
631. **[An explainable SHAP–LIME integrated stacked ensemble framework for bitcoin closing price forecasting ↗](https://doi.org/10.1007/s44163-026-02377-8)**Ashwani Kharola, Harvinder Singh, Kaushal Kumar et al.
632. **[An explainable and latency-aware unified framework for hybrid graph cyberattack detection ↗](https://doi.org/10.1007/s44163-026-01317-w)**Aniruddha Prabhu B.P., N. R. Sunitha
633. **[An explainable and uncertainty aware lesion guided hybrid CNN ViT framework for diabetic retinopathy grading ↗](https://doi.org/10.1007/s44163-026-01951-4)**Paul Kategaya Kisozi, Alone Kimwise, Micheal Kumakech et al.
634. **[An explainable ensemble learning framework for transparent and accurate loan approval prediction ↗](https://doi.org/10.1007/s44163-026-01569-6)**Kanishk Gawande, Pallavi, Divya Thakur et al.
635. **[An explainable framework for dementia risk prediction based on lifestyle data using machine learning and deep learning ↗](https://doi.org/10.1007/s44163-025-00782-z)**Md. Kowsar Ahmed, Anichur Rahman, Dipanjali Kundu et al.
636. **[An explainable hybrid machine learning approach for automated drug identification for safe dosing in smart healthcare systems ↗](https://doi.org/10.1007/s44163-026-01478-8)**Man Mohan Shukla, Brijesh Kumar Chaurasia, Arnavi Mishra et al.
637. **[An explainable hybrid of classical and quantum support vector machine models for maternal mental health risk prediction using multicountry data ↗](https://doi.org/10.1007/s44163-026-02006-4)**Shallon Ahimbisibwe, Emmanuel Ahishakiye, Samuel Maling et al.
638. **[An explainable machine learning framework for early student dropout risk prediction and stratification ↗](https://doi.org/10.1007/s44163-026-02288-8)**Vinayak Hegde, Anuvarshini Palaniswamy, Doyel Bhar et al.
639. **[An extended theory of planned behavior model of generative AI use intention for music composition among Chinese music students ↗](https://doi.org/10.1007/s44163-026-02460-0)**Li Pan, Qihuan Chen, Yannan Liu
640. **[An image based case based reasoning system to identify maize crop attacks and recommend treatments ↗](https://doi.org/10.1007/s44163-026-01150-1)**Yusuph Emanueli Margwe, Naomi Dassi Tchomté, Franklin Tchakounté et al.
641. **[An improved YOLO11 based object detection algorithm for UAV maritime rescue ↗](https://doi.org/10.1007/s44163-026-01620-6)**Jing Wang, Lele Niu, Rongliang Shi et al.
642. **[An improved iTransformer and BiLSTM hybrid model improves the accuracy of short term electricity price forecasting for the Australian National Electricity Market ↗](https://doi.org/10.1007/s44163-026-01705-2)**Jing Lan, X Zhao, Yongfeng Zhao
643. **[An inference stage taxonomy-guided prompt framework for culturally aware generation of indigenous motifs ↗](https://doi.org/10.1007/s44163-026-01944-3)**Marzie Hatef Jalil, Johari Abdullah
644. **[An innovative artificial intelligence method to optimize piping layout ↗](https://doi.org/10.1007/s44163-026-01244-w)**Souhail Dhouib
645. **[An integrated big data framework for labour market demand forecasting and entrepreneurship guidance in vocational education ↗](https://doi.org/10.1007/s44163-026-01994-7)**Jian Zhang, Xia Wang, Zhu Tian
646. **[An integrated knowledge graph and digital twin framework for data intelligent industry education in the nylon chemical industry ↗](https://doi.org/10.1007/s44163-026-02048-8)**Lu Zhang
647. **[An integrative theoretical model of AI-supported cybersecurity governance and organizational resilience ↗](https://doi.org/10.1007/s44163-026-02363-0)**Irlenys Josefina Tersek Rodriguez
648. **[An intelligent English translation system fusing IOT contextual inputs with optimized deep learning models ↗](https://doi.org/10.1007/s44163-026-01444-4)**wei zhao
649. **[An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management ↗](https://doi.org/10.1007/s44163-026-01960-3)**Ling-Chun Liu, Wanbing Zhan, Wei-Wei Shi et al.
650. **[An intelligent evaluation model of dance artistic expressiveness integrating multimodal information and explainable artificial intelligence ↗](https://doi.org/10.1007/s44163-026-01630-4)**Yang Zhao
651. **[An intelligent model for visual communication in modern art ↗](https://doi.org/10.1007/s44163-026-00937-6)**Haiyan Zhang
652. **[An intelligent multi-objective decision framework for Time–Cost–Quality optimization in construction scheduling using AHP and OBL–NSGA-III ↗](https://doi.org/10.1007/s44163-026-02456-w)**GVLN Murthy, Dr. RVVSV Prasad, A. Venkatakrishna et al.
653. **[An intelligent recognition method for irregular movements of sports players based on improved fish swarm algorithm ↗](https://doi.org/10.1007/s44163-025-00754-3)**Zhiping Wang
654. **[An interpretable machine learning framework for predicting next day firm level market stress in the Dhaka Stock Exchange ↗](https://doi.org/10.1007/s44163-026-02065-7)**Md Sadman Haque, Mohammad Sameer Ahmed, Md Tasfikur Rahman et al.
655. **[An interpretable multi-scale temporal-structural feature framework for early rumor detection on social media ↗](https://doi.org/10.1007/s44163-026-02080-8)**Nan Dai
656. **[An opinion evolution prediction model based on graph attention and ordinary differential equations ↗](https://doi.org/10.1007/s44163-026-02445-z)**Quan Liu, Liuyang Duan, Meimei Jia et al.
657. **[An optimal hybrid framework for carbon price prediction using time series analysis ↗](https://doi.org/10.1007/s44163-026-01368-z)**Jiawen Liu, Chungeng He
658. **[An optimized hybrid deep learning model with SHapley Additive exPlanations for pulmonary fibrosis nodule segmentation and severity assessment ↗](https://doi.org/10.1007/s44163-025-00749-0)**Pallavi Sachin Patil, S Supreeth, Kiran Kumari Patil
659. **[An orthogonal projection-based iterative KNN classifier for sentiment analysis on small datasets ↗](https://doi.org/10.1007/s44163-026-02457-9)**Soufiane El Mrabti, Amal Hjouji, Jaouad El-Mekkaoui et al.
660. **[Analysing the challenges and opportunities of AI in competency-based learning for higher education teachers: a systematic literature review ↗](https://doi.org/10.1007/s44163-025-00778-9)**Silishi Noushad
661. **[Analysis of intelligent construction scheduling optimization based on reinforcement learning and its carbon emission reduction effect ↗](https://doi.org/10.1007/s44163-026-01260-w)**Lin Wang, Dan Hua, Yu Chen
662. **[Analyzing and redesigning deployment pathways for internally developed artificial intelligence tools in clinical education and health research ↗](https://doi.org/10.1007/s44163-026-02220-0)**Bo Xie, Ruoke Zhang
663. **[Ancient book text detection algorithm based on a differentiable binarization network for intangible cultural heritage protection ↗](https://doi.org/10.1007/s44163-026-01562-z)**Fang Wang, Jongho Lee
664. **[Application of GAN-based facial reconstruction and recognition system based on dense connection modules ↗](https://doi.org/10.1007/s44163-026-02366-x)**Yongfu Liu, Shoujun Tang, Xingrong Hou
665. **[Application of an improved vision transformer and optical flow fusion algorithm for human action recognition in human–computer interaction systems ↗](https://doi.org/10.1007/s44163-026-01512-9)**Qin Zhang
666. **[Application of deep learning in assessing the impact of industrial digitalization and transformation on regional economic development ↗](https://doi.org/10.1007/s44163-026-01419-5)**Jianbo Zhou
667. **[Application of deep learning in english culture and situational teaching ↗](https://doi.org/10.1007/s44163-026-00907-y)**Min Li
668. **[Application of deep learning-based social media data analysis in macroeconomic forecasting ↗](https://doi.org/10.1007/s44163-026-01154-x)**Xinqing Geng, Benli Shi
669. **[Application of deep reinforcement learning in the design and optimization of English continuing education teaching content ↗](https://doi.org/10.1007/s44163-026-01201-7)**Jinfeng Ma
670. **[Application of genetic algorithms in digital financial resource allocation ↗](https://doi.org/10.1007/s44163-026-00888-y)**Muqiao Cai
671. **[Application of human action recognition in film and television editing based on multi-scale visual transformer and attention mechanism ↗](https://doi.org/10.1007/s44163-026-01904-x)**Jing Jin
672. **[Application of information retrieval system based on knowledge graph in education ↗](https://doi.org/10.1007/s44163-026-01787-y)**Aina Hu, Sharmin Kutty Sivaraman
673. **[Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data ↗](https://doi.org/10.1007/s44163-026-01440-8)**Fetlework Gubena Arage, Gebrie Getu Alemu, Getaneh Awoke Yismaw et al.
674. **[Application of multimodal deep learning in art design element extraction and advertising visual optimization ↗](https://doi.org/10.1007/s44163-026-01199-y)**Jing Luo, Xiaoyu Ke, Xin Chen
675. **[Application of multimodal machine learning in building ecological assessment ↗](https://doi.org/10.1007/s44163-026-01234-y)**Manshu Huang
676. **[Application research and analysis of virtual reality technology in educational management training ↗](https://doi.org/10.1007/s44163-025-00627-9)**Yunlong Wang, Zhen Wang
677. **[Applications of artificial intelligence (AI) in clean transportation: an in-depth bibliometric analysis ↗](https://doi.org/10.1007/s44163-026-01096-4)**Seyedeh Zahra Hosseini, Parizad Saghari Chiha, Zahra Sadat Saeideh Zarabadi et al.
678. **[Applications of deep learning in the identification and classification of mental health status ↗](https://doi.org/10.1007/s44163-026-01388-9)**Xiaolei Wang, Shuo Yang, Xiaohui Feng
679. **[Applying machine learning algorithms and explainable AI to predict stunting and identify determinants among children under five in Ethiopia ↗](https://doi.org/10.1007/s44163-026-01129-y)**Tirualem Zeleke Yehuala, Mekuriaw Nibret Aweke, Habtamu Wagnew Abuhay et al.
680. **[Applying machine learning to eye-tracking data for autism identification in high-functioning adults ↗](https://doi.org/10.1007/s44163-026-01001-z)**Konstantinos-Filippos Kollias, Christine K. Syriopoulou–Delli, Panagiotis G. Sarigiannidis et al.
681. **[Artificial Intelligence applications in magnetic resonance imaging for automated stroke detection segmentation and outcome prediction ↗](https://doi.org/10.1007/s44163-026-01169-4)**Nilofer Neshat, Khush Jain, Shubham Gupta
682. **[Artificial Intelligence driven fault detection and autonomous recovery in zero trust network architectures ↗](https://doi.org/10.1007/s44163-026-01654-w)**Sami Morsi, Rajit Nair, Hasan Shojaa Alkahtani et al.
683. **[Artificial intelligence and ant colony algorithm driven accurate detection method for opera teaching postures ↗](https://doi.org/10.1007/s44163-026-02005-5)**Enqin Wang, Lingli Xie
684. **[Artificial intelligence and crime research landscape a bibliometric and conceptual analysis from 2020 to 2025 ↗](https://doi.org/10.1007/s44163-026-01428-4)**Zongwen Xia, Chirayut Khamboon
685. **[Artificial intelligence and multi-omics integration advances precision diagnosis and personalized therapy for Alzheimer’s disease ↗](https://doi.org/10.1007/s44163-026-01850-8)**Aniket Kakkar, Harpreet Singh, Amit Anand et al.
686. **[Artificial intelligence and the reconfiguration of competency management systems in organizations ↗](https://doi.org/10.1007/s44163-026-02055-9)**Maryann Osadebamwen Asemota
687. **[Artificial intelligence applications in electric vehicle supply chain management: a systematic review and research agenda ↗](https://doi.org/10.1007/s44163-026-01746-7)**Bhimagoud R. Patil, Mrinal Rahul Bachute, Jay Daniel et al.
688. **[Artificial intelligence applications in pharmacy to enhance medication adherence and improve patient outcomes ↗](https://doi.org/10.1007/s44163-026-01680-8)**Nadia Al Mazrouei, Amal Alhosani, Abdulrahman Almutairi et al.
689. **[Artificial intelligence approaches for pollutant assessment and environmental toxicology ↗](https://doi.org/10.1007/s44163-026-02126-x)**Ehsan Ghassemi Barghi, Farzaneh Motafeghi, Jafar Gholami Gharab et al.
690. **[Artificial intelligence approaches to resistome profiling and predictive antimicrobial resistance surveillance ↗](https://doi.org/10.1007/s44163-026-02448-w)**Christian Joseph N. Ong, Rahmatullah Nazari, Cruz
691. **[Artificial intelligence based prediction of adverse outcomes in bladder cancer patients impact of clinical and environmental determinants ↗](https://doi.org/10.1007/s44163-026-01097-3)**Hayder ALshadood, Cyrine Abid, Saad Abdelaziz et al.
692. **[Artificial intelligence based prediction of depression among older adults with NCDs in India using traditional logistic regression and machine learning models ↗](https://doi.org/10.1007/s44163-026-01486-8)**Kanchan Yadav, Dechenla Tshering Bhutia
693. **[Artificial intelligence decision support system for small business supply chain resilience under uncertainty ↗](https://doi.org/10.1007/s44163-026-02331-8)**Md Raisul Islam Khan
694. **[Artificial intelligence deployment capabilities for resilient supply chains under flood-induced disruptions ↗](https://doi.org/10.1007/s44163-026-01637-x)**John Nsikan, Benjamin Eneojo Ameh, Victor A. Umoh et al.
695. **[Artificial intelligence driven digital twin for dynamic reconfigurable intelligent surface control in terahertz internet of things mesh networks ↗](https://doi.org/10.1007/s44163-026-02255-3)**Dhanish Ladwani, Siddhi Jaiswal, Gurupreet Dhande et al.
696. **[Artificial intelligence driven personalized adaptive training system for individual differences in competitive sports ↗](https://doi.org/10.1007/s44163-026-01828-6)**Xiaoliang Xiang
697. **[Artificial intelligence driven predictive governance of stadium security in Morocco, France and Qatar ahead of AFCON 2025 and the 2030 FIFA World Cup ↗](https://doi.org/10.1007/s44163-026-01274-4)**Mohammed Benhida, Nourddine Enneya, Fatima Zahra Guerss et al.
698. **[Artificial intelligence enabled food quality assessment through digital sensing and explainable analytics ↗](https://doi.org/10.1007/s44163-026-01826-8)**Suraja Parida, Sanjukta Dasgupta
699. **[Artificial intelligence for PFAS toxicology and risk assessment ↗](https://doi.org/10.1007/s44163-026-02266-0)**Abir Hamze, Emran Alotaibi
700. **[Artificial intelligence for predicting periodontal disease progression and tooth loss: a scoping review ↗](https://doi.org/10.1007/s44163-026-02111-4)**Man Hung, Megan Nelson, Hanna Chriss et al.

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