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title: "Discover Artificial Intelligence 2026 — all accepted papers, page 10"
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# Discover Artificial Intelligence 2026: all accepted papers

1,550 papers · page 10 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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901. **[Development of a multimodal english cross-language translation model based on transformer architecture ↗](https://doi.org/10.1007/s44163-026-02172-5)**Jing Cao, Shichao Chen
902. **[Development of an intelligent system for personalized clothing design based on deep learning and the internet of things ↗](https://doi.org/10.1007/s44163-026-01831-x)**Xiaoyang Liu, He Zhao
903. **[Diabetes question answering method based on knowledge graph and large language model ↗](https://doi.org/10.1007/s44163-026-02078-2)**Yuelong Zhang, Songpu Li, Tianrui Lyu et al.
904. **[Diagnosis and characterization of stroke using EEG and deep learning: emerging methods and clinical outlook ↗](https://doi.org/10.1007/s44163-026-00926-9)**Elahe Ghiyabi, Houshang Shaker Nigjeh, Sajjad Mortazavi
905. **[Diagnostic performance of ChatGPT for acute appendicitis compared with the Alvarado score: a retrospective diagnostic accuracy study ↗](https://doi.org/10.1007/s44163-026-02332-7)**Amr A. Elgharib, Moustafa I. Ghanem, Rawan S. Ibrahim et al.
906. **[Diffusion model-driven multi-objective collaborative optimization for building energy management using graph neural networks ↗](https://doi.org/10.1007/s44163-026-02140-z)**Yalan Zheng, Taixiang Yin
907. **[Digital currency money laundering identification model based on graph structure and transformer self-supervised learning ↗](https://doi.org/10.1007/s44163-026-02264-2)**Yong Shang
908. **[Digital twin-driven edge–cloud collaborative remote fault diagnosis and intelligent predictive maintenance for critical hydropower equipment ↗](https://doi.org/10.1007/s44163-026-01998-3)**Dong Yang, Zhile Jiang, Kai Zheng et al.
909. **[Discriminative analysis of breath profiles in tuberculosis patients using machine learning classifiers ↗](https://doi.org/10.1007/s44163-026-01347-4)**Atlang Gild. Mpolokang, Tlotlo Cassandra. Setlhare, Somnath Bhattacharyya et al.
910. **[Discursive behavior of generative language models in geopolitical and humanitarian contexts ↗](https://doi.org/10.1007/s44163-026-00965-2)**Marco Giacalone
911. **[Dominance aware multimodal rumor verification using reliability calibrated multi-expert inference ↗](https://doi.org/10.1007/s44163-026-01687-1)**Luu Van Nhat Hao, Tieu Phung Mai Suong, Nguyen Khanh Vy et al.
912. **[Drawnet an optimizer aware transfer learning framework for Parkinson’s disease detection from hand drawn spirals and waves ↗](https://doi.org/10.1007/s44163-026-01734-x)**Makkapati Lakshmi Prasanna, Thulasi Bikku, Tony Jan et al.
913. **[Drivers and outcomes of AI adoption in developing learners cognitive skills through the lens of TRA and SOR framework ↗](https://doi.org/10.1007/s44163-026-01469-9)**Nadia Sultana, Afruza Haque, Rasheda Akter Rupa
914. **[Dual stream adaptive sequential recommendation ↗](https://doi.org/10.1007/s44163-026-02282-0)**Swastika Ghosh, Sourav Mandal, Rohini Basak et al.
915. **[Dual transformer with local and global information for medical image segmentation ↗](https://doi.org/10.1007/s44163-026-01468-w)**Ping Wang, Yiwen Qin, Xiaopeng Zheng
916. **[Dual-stream context aggregation network for waste sorting ↗](https://doi.org/10.1007/s44163-026-01529-0)**Chenan Wu, Yanning Yang
917. **[Dynamic adjustment strategy for social security supported by reinforcement learning and neural networks ↗](https://doi.org/10.1007/s44163-026-01198-z)**Yingli Sun
918. **[Dynamic control and optimization model of accounting information disclosure quality of listed companies based on deep reinforcement learning ↗](https://doi.org/10.1007/s44163-026-02295-9)**Tingting Hu
919. **[Dynamic control strategy for robot music performance driven by reinforcement learning ↗](https://doi.org/10.1007/s44163-026-01557-w)**Xi Zhu
920. **[Dynamic matching strategy for college students’ innovative training projects based on reinforcement learning optimization ↗](https://doi.org/10.1007/s44163-026-01065-x)**Xiao Ju, Yumo Ding
921. **[Dynamic obstacle avoidance method for 3D animation group based on multi-agent reinforcement learning ↗](https://doi.org/10.1007/s44163-026-02052-y)**Zhenzhen Wang, Nannan Yang, Baoyang Dong
922. **[Dynamic optimization algorithm for personalized Japanese learning path driven by reinforcement learning ↗](https://doi.org/10.1007/s44163-026-01979-6)**Shuyun Bian
923. **[Dynamic resource allocation decision-making mechanism for mental health education optimized by reinforcement learning ↗](https://doi.org/10.1007/s44163-026-00864-6)**Yuxuan Wu, Lin Xu
924. **[Dynamic weighted federated learning with client level differential privacy for DDoS detection in IoT networks ↗](https://doi.org/10.1007/s44163-026-02452-0)**Laiba Maryam, Bilal Shabbir Qaisar, Mubashar Raza et al.
925. **[Dynamically perturbed Ruppell Fox optimization with a context aware transformer for coherent document level English to Chinese translation ↗](https://doi.org/10.1007/s44163-026-02407-5)**Weiwei Zhao
926. **[Dynamically weighted Grünwald-Letnikov derivative-driven multi-attention network for cyber-attack detection and mitigation in Internet of Things ↗](https://doi.org/10.1007/s44163-026-01727-w)**Meghana G Raj
927. **[EEG emotion recognition method integrating improved dynamic graph convolutional neural networks and bidirectional simple recurrent units ↗](https://doi.org/10.1007/s44163-026-01583-8)**Xuemin Shan
928. **[Early detection of online public opinion rumors for cross-event generalization ↗](https://doi.org/10.1007/s44163-026-02227-7)**Ke Kang, Zhiyong Yuan
929. **[Early detection of strawberry and grape diseases under real-world field conditions using deep learning ↗](https://doi.org/10.1007/s44163-026-00943-8)**Sultan Zeb, Haleem Farman, Muhammad Shabir et al.
930. **[Early fault feature extraction and early warning algorithm for hydraulic turbine generator units based on generalised machine acoustic signatures ↗](https://doi.org/10.1007/s44163-026-01617-1)**Libin Wu, Jun Tian, Jian Tang et al.
931. **[Early prediction of diabetes using a reduced and interpretable feature set with a scalable machine learning framework ↗](https://doi.org/10.1007/s44163-026-01152-z)**Roopashri Shetty, Ayanika Paul, Archana Praveen Kumar et al.
932. **[Early risk prediction of gestational diabetes using routine antenatal care clinical data using machine learning ↗](https://doi.org/10.1007/s44163-026-01358-1)**Emmanuel Ahishakiye, Justine Nakirijja, Shallon Ahimbisibwe
933. **[Edge computing-based semantic modeling and identifier analysis for intelligent IoT ↗](https://doi.org/10.1007/s44163-026-01742-x)**Juan Li
934. **[Effect evaluation of macro-financial regulation policies based on deep learning and fuzzy algorithms ↗](https://doi.org/10.1007/s44163-026-02153-8)**Kun Zhang, Wei Li
935. **[Effectiveness of using AI-powered microsoft search progress for enhancing information literacy in research tasks ↗](https://doi.org/10.1007/s44163-025-00786-9)**Jayaron Jose, Blessy Jayaron Jose, Amal Salim Ali Al Sheidi
936. **[Effects of AI-based and video instruction on machine learning competencies among computing and robotics education students ↗](https://doi.org/10.1007/s44163-026-01707-0)**Christian Basil Omeh, Valentine Joseph Owan, Ph.D, Ismaila Temitayo Sanusi et al.
937. **[Efficacy of e-supervision on students’ academic behaviour in the era of artificial intelligence ↗](https://doi.org/10.1007/s44163-026-00893-1)**Oluwaseyi Aina Gbolade Opesemowo, Sulaimon Adewale, Titilope Rachael Opesemowo
938. **[Efficient and responsible transformer based conversational agents for emotionally supportive dialogue ↗](https://doi.org/10.1007/s44163-026-01426-6)**Divya Saleela, Nancy V, Akhil Mathew Philip et al.
939. **[Efficient emotion recognition from thermal faces using histogram and Hu features ↗](https://doi.org/10.1007/s44163-026-01818-8)**C N Ravindra Kumar, B C Soundarya, B. J. Ambika et al.
940. **[Efficient hybrid deep transfer learning framework for wrist X-ray abnormality classification using the MURA dataset ↗](https://doi.org/10.1007/s44163-026-01736-9)**Hasmukh J. Chauhan, Vipul Shah, Himanshukumar Patel et al.
941. **[Efficient hybrid state space architecture with linear attention enhances diabetic retinopathy severity assessment ↗](https://doi.org/10.1007/s44163-026-01330-z)**Tianrui Cun, Aidi Xu, Hua Jiang et al.
942. **[Efficient student behavior detection in classroom videos using a keyframe aware multitask transformer ↗](https://doi.org/10.1007/s44163-026-01906-9)**V. Vinothina, Eiko Takaoka, Augustine George et al.
943. **[Electromagnetic emission measurement-based recognition of household appliances using artificial intelligence techniques ↗](https://doi.org/10.1007/s44163-026-01385-y)**Ahmed S. Haiba
944. **[Embedded LSTM-autoencoder for FFT-guided BLDC motor fault detection ↗](https://doi.org/10.1007/s44163-026-01397-8)**João Pedro Matos-Carvalho, Francisco Damião, Stéfano Frizzo Stefenon et al.
945. **[Emotion analysis and management improvement of hotel user online reviews based on BERT-RF and PLS-SEM integration ↗](https://doi.org/10.1007/s44163-026-02199-8)**Xiangwei Xia, Chao Qu, Yi Qu
946. **[Empirical analysis of Q learning, DQN and DDQN for intraday trading ↗](https://doi.org/10.1007/s44163-026-01138-x)**Suchita Nilesh Borkar, Anil S. Jadhav
947. **[Empirical analysis of user experience in AI-driven intelligent input systems across multiple usage scenarios ↗](https://doi.org/10.1007/s44163-026-01346-5)**Wan Wenshuang, Hou RuiRui
948. **[Employability assessment using multimodal deep learning framework ↗](https://doi.org/10.1007/s44163-026-01041-5)**Fengjin Zhou
949. **[End to end real time deep learning framework for synergistic flaw detection in complex X ray images ↗](https://doi.org/10.1007/s44163-026-01462-2)**Mingyang You, Mindi Geng, Wenzhi Zeng et al.
950. **[Energy constraints in large scale artificial intelligence and insights from human cognition for efficient large language models ↗](https://doi.org/10.1007/s44163-026-02369-8)**Mahmoud Amiri, Azadeh Mokari, Thomas Wilhelm Bocklitz
951. **[Energy-aware multi-agent sand-table formation control via cross-layer SAC–GNN and federated learning ↗](https://doi.org/10.1007/s44163-026-01774-3)**Ruting Li, Wenni Xiao, Yan Sun et al.
952. **[Energy-aware multi-objective NSGA-II optimized SVM framework for institutional admission fraud detection in educational cybercrime systems ↗](https://doi.org/10.1007/s44163-026-01862-4)**Anjali Rawat, Anand Rajavat
953. **[Engineering student perceptions of generative AI use in learning trust judgment and information seeking ↗](https://doi.org/10.1007/s44163-026-02086-2)**Yara Mohammed, Hassan Qandil, Brady Lund
954. **[English online learning behavior pattern mining and adaptive path inference based on learning analytics ↗](https://doi.org/10.1007/s44163-026-02066-6)**Yajun Ruan
955. **[English reading comprehension ability assessment based on multimodal machine learning ↗](https://doi.org/10.1007/s44163-026-01231-1)**Tang Xiaohui, Qian Liu
956. **[English speech ability teaching evaluation based on active learning-based annotation and semantic expression decoupling ↗](https://doi.org/10.1007/s44163-026-01085-7)**Hong Meng
957. **[Enhanced chronic kidney disease detection using auxiliary classifier GANs and hybrid data augmentation on CT imaging ↗](https://doi.org/10.1007/s44163-026-01860-6)**Princy Randhawa, Chitransh Saxena, Gireesh Kumar et al.
958. **[Enhanced fraud detection in credit card transactions using a Bayesian Gaussian mixture model approach ↗](https://doi.org/10.1007/s44163-026-01662-w)**Suboh M. Alkhushayni, Du’a Al-Zaleq, Mutasem K. Alsmadi et al.
959. **[Enhanced multiclass classification of AML-related cells using YOLOv12, Inception-ResNet-v2, and ResNet50 transfer learning models ↗](https://doi.org/10.1007/s44163-026-01833-9)**Enas E. Ahmed, Mayar Moner, Salah A. Aly
960. **[Enhancing academic English text reasoning via EDA-optimized BERT ↗](https://doi.org/10.1007/s44163-026-01086-6)**Jing Tao Wu
961. **[Enhancing adult lifelong learning through data fusion algorithms and quality assurance ↗](https://doi.org/10.1007/s44163-026-01962-1)**霍芳艳, Yihua Li
962. **[Enhancing climate prediction accuracy with machine learning to promote agricultural carbon emission reduction ↗](https://doi.org/10.1007/s44163-026-01923-8)**Huiling Wu, Xuemei Liu
963. **[Enhancing clinical gait abnormality analysis with multimodal deep learning ↗](https://doi.org/10.1007/s44163-026-02522-3)**Pınar Güner Şahan, Erva Alacan, Suhap Şahın
964. **[Enhancing supply chain efficiency with AI: predicting and preventing customer backorders ↗](https://doi.org/10.1007/s44163-026-01237-9)**Otmane Khtou, Taoufyq Elansari, Meryam El Mouhtadi et al.
965. **[Enriching structured dataset via reasoning embeddings with few-shot learning for enhancing complaint classification ↗](https://doi.org/10.1007/s44163-026-01698-y)**Theng-Jia Law, Choo‐Yee Ting
966. **[Ensemble probability meta-classifier for attack detection leveraging user behavior and big data analytics ↗](https://doi.org/10.1007/s44163-026-01779-y)**K. Prasanthi, Vishnupriya S Devarajulu, P.Venkata Krishna et al.
967. **[Ensembles machine learning for short duration rainfall intensity forecasting ↗](https://doi.org/10.1007/s44163-026-01772-5)**Susilowati, Aprizal, Dyah Indriana Kusumastuti
968. **[Entrepreneurial project recommendation by implicit user feature extraction and DNN-MF ↗](https://doi.org/10.1007/s44163-026-02167-2)**Lina Ma
969. **[Estimation techniques of aboveground biomass in grassland ecosystems based on multi-source data integration ↗](https://doi.org/10.1007/s44163-026-02376-9)**Lin Shang
970. **[Ethical integration of generative artificial intelligence in Islamic religious education involves human mediation and source verification ↗](https://doi.org/10.1007/s44163-026-02251-7)**Shahazwan Mat Yusoff, Anwar Farhan Mohamad Marzaini, Siti Nadya Zynuddin et al.
971. **[Evaluating Gemma 3 27B for local undergraduate physics tutoring ↗](https://doi.org/10.1007/s44163-026-02296-8)**Marcel Völschow, P. Buczek, Philipp Riefer et al.
972. **[Evaluating GenAI for automated EU AI Act compliance against human experts ↗](https://doi.org/10.1007/s44163-026-01196-1)**Maria Assunta Cappelli, Léonore Bozovic, Giovanna Di Marzo Serugendo et al.
973. **[Evaluating adaptation strategies for low resource word sense disambiguation in Oromo using the BERT base multilingual cased model ↗](https://doi.org/10.1007/s44163-026-01511-w)**Liyachew Edeti, Million Meshesha, Feda Negesse
974. **[Evaluating large language model performance in US FDA regulatory science ↗](https://doi.org/10.1007/s44163-026-01918-5)**Khulud Bukhari, Rosa Rodríguez-Monguió, Beatriz Lopez-Bermudez et al.
975. **[Evaluating large language models for philosophical reasoning on ancient Indian texts ↗](https://doi.org/10.1007/s44163-026-01278-0)**Sakshi Chauhan, Isha Karn, Varun Dutt
976. **[Evaluating the impact of preprocessing on CNN architectures: comparative analysis of a novel proposed model EyeDiagNet and existing models for eye disease detection ↗](https://doi.org/10.1007/s44163-026-01095-5)**C. A. Aparna, B R Manju
977. **[Evaluating the role of AI and IoT in advancing sustainable energy transitions within the Indonesian energy sector ↗](https://doi.org/10.1007/s44163-026-01180-9)**Nicholas Pranata
978. **[Evaluating the role of agri-innovators in enhancing ecological conservation and economic efficiency using deep learning ↗](https://doi.org/10.1007/s44163-026-00897-x)**Yun Sheng, Jie Ni
979. **[Evaluation method of college students’ education based on artificial neural network ↗](https://doi.org/10.1007/s44163-026-01622-4)**Qiufang Sheng
980. **[Evaluation of physical training effectiveness for college students based on deep reinforcement learning ↗](https://doi.org/10.1007/s44163-026-02343-4)**Wang Chen, Bo An, Shuang Huang
981. **[Evidence driven dual granularity cross modal reasoning for cultural heritage visual language understanding ↗](https://doi.org/10.1007/s44163-026-01947-0)**Xue Bai, Jiahui Zhou
982. **[Examining methodological rigor, ethical governance, and scientific claims: a critical review of the DeepSeek-R1 study ↗](https://doi.org/10.1007/s44163-026-01131-4)**Huimin Peng
983. **[Examining the educational use of generative AI by integrating ECT and TTF using a hybrid SEM-ANN approach ↗](https://doi.org/10.1007/s44163-026-00979-w)**İbrahim Arpacı, Kasım Karataş, Omer Gibreel
984. **[Explainable AI-driven edge–cloud framework for cluster-based predictive cyber threat detection in IIoT-enabled internet of vehicles ↗](https://doi.org/10.1007/s44163-026-02116-z)**Tamara Kokenovna Zhukabayeva, Zulfiqar Ahmad, Nurdaulet Karabayev et al.
985. **[Explainable artificial intelligence 5.0 for emerging technologies of responsible innovation ↗](https://doi.org/10.1007/s44163-026-01250-y)**Hanvedes Daovisan
986. **[Explainable artificial intelligence driven dynamic evaluation framework for Industry 4.0 oriented talent cultivation in higher education ↗](https://doi.org/10.1007/s44163-026-02387-6)**HaiMei Liu, Xiangqian Liu
987. **[Explainable attention-augmented CNN-BiGRU hybrid model for automated sleep stage classification in pediatric subjects with obstructive sleep apnea ↗](https://doi.org/10.1007/s44163-026-01435-5)**Sneha Nargundkar, Supriya Shanbhag, Veena Desai
988. **[Explainable deep learning framework for real-time insect pest detection in smart agriculture ↗](https://doi.org/10.1007/s44163-026-02109-y)**J. Briskilal, M. K. Vidhyalakshmi, Aswathy K Cherian et al.
989. **[Explainable ensemble learning framework for bond strength prediction in 3D printed concrete structures ↗](https://doi.org/10.1007/s44163-026-01925-6)**Qaim Shah, Waheed Ali Khoso, Fawad Iqbal et al.
990. **[Explainable hybrid deep learning framework for air quality index prediction in Indian cities ↗](https://doi.org/10.1007/s44163-026-02131-0)**Priyal Singhal, Praneet Saurabh, Mayank Sharma et al.
991. **[Explainable machine learning for agricultural supply chain price volatility risk screening ↗](https://doi.org/10.1007/s44163-026-01805-z)**Md Raisul Islam Khan, Taycir Ben Abid, Mohammad Abu Jahed
992. **[Explainable machine learning for predicting preterm birth and associated factors in Sub Saharan Africa ↗](https://doi.org/10.1007/s44163-026-02092-4)**Makda Fekadie Tewelgne, Tirualem Zeleke Yehuala, Mekuriaw Nibret Aweke et al.
993. **[Explainable machine learning models for AI enabled credit scoring and financial inclusion in emerging markets ↗](https://doi.org/10.1007/s44163-026-02392-9)**Yazan Taher Shawabkeh, Anas Ahmad Bani Atta, Khaled Aldarabah et al.
994. **[Explainable medicinal plant identification using a hybrid CNN-vision transformer framework ↗](https://doi.org/10.1007/s44163-026-01763-6)**Faisal Firdous, Deepak Gupta, Hemant Sood et al.
995. **[Explainable multimodal deep learning with dual attention for prostate cancer classification from MRI ↗](https://doi.org/10.1007/s44163-026-01663-9)**Nasser M. Al-Zidi, D Vasumathi
996. **[Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture ↗](https://doi.org/10.1007/s44163-026-02222-y)**Sunil Kumar Mohapatra, A. Sanjib Kumar Patro, Lulen Kumar Sahu et al.
997. **[Explainable vision transformer for coffee leaf nutrient deficiency detection with rule-based treatment recommendation ↗](https://doi.org/10.1007/s44163-026-02160-9)**Fikadu Berie Adugna
998. **[Explaining paddy price inefficiency using econometrics and explainable AI ↗](https://doi.org/10.1007/s44163-026-01627-z)**R. Rathipriya, V. Shiva Sankari
999. **[Explanation audits reveal silent failures of machine learning models under distribution shift ↗](https://doi.org/10.1007/s44163-026-02012-6)**Faraz Masood, Sehba Masood, Arman Rasool Faridi et al.
1000. **[Exploring artificial intelligence models for tea leaf disease diagnosis: a review ↗](https://doi.org/10.1007/s44163-026-01174-7)**Megha Gupta, Sunaina Garg, Nabamita Deb

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