Discover Artificial Intelligence 2026: all accepted papers
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- Agentic AI dual channel fusion for sentiment aware adaptive learning in educational AI tool adoption ↗Honghong Wang, Ruifang Bai
- Algebraic width certificates guarantee interval type-2 fuzzy aggregation in multicriteria decision making ↗Renikunta Ramesh, Ramsha Mehreen
- Algorithm for generating ancient architectural components based on Rhino.Inside and Grasshopper ↗Hong Li, Yonghui Shi, Qiwei Li
- Aligning academic artificial intelligence research with the national innovation strategy of Saudi Arabia under vision 2030 ↗Zeineb Al Hadi Nagara, Ahmad Haidar, Henry Hassan AYOUB
- Aligning machines with human values: opacity and ethical sustainability of AI ↗Francesco Maria Cianciaruso
- An AD detection system using topic enhancement and dynamic differential privacy for intelligent elderly care ↗Junyan Qu, Hao Wang, Ming Sun
- An AI-enabled decision support framework for sustainable inventory planning in buffet restaurant supply chains ↗Kullapapruk Piewthongngam, Suphakan Homkhampad, Arthit Apichottanakul
- An AI-enabled framework for reducing administrative bureaucracy in higher education while maintaining governance and compliance ↗Nazar Zaki, Amna Alneyadi, Mariam Othman Alamoodi et al.
- An IoT enabled multi sensor platform for noninvasive blood glucose monitoring via breath analysis. ↗Ritik Sharma, Varun Dutt, Shivani Sharma et al.
- An adaptive agentic AI framework for counterfactual validation and adversarial lookahead in automated incident response ↗Sheetal Prasad Kizhakel, Sagar Dhanraj Pande
- An advanced NLP and machine learning-based chatbot system for effective Igbo language communication ↗Akinbowale Nathaniel Babatunde, Bukola Fatimah Balogun, Sunday Adeola Ajagbe et al.
- An artificial intelligence approach for efficient and explainable kinship verification ↗Ruaa A. Al-Falluji, Abdullah S. Alharthi, Marwan Ali Albahar
- An autoencoder and Grey Wolf Optimizer-based framework for fixing the inconsistent pairwise comparison matrix in multicriteria decision-making ↗Shalu Kaushik, Aditya Jayesh Aiya, Sangeeta Pant et al.
- An autoregressive lag aware sparse transformer framework for demand forecasting ↗Ishan Surana, Divej Ahuja, Udai Pratap Singh et al.
- An edge aware low light object detection method based on an improved YOLO11n model ↗Qi Chen, Zhiwen Wang, Xianqin Liang et al.
- An efficient and high-quality circuit schematic generation method based on action mask and graph neural network ↗Jie Yang, Kai Qiao, Jian Chen et al.
- An english financial audit anomaly detection system for construction industry based on machine learning ↗Lingyun Long, Shuang Xu, Aichao Li et al.
- An enhanced discrete dung beetle optimizer with multi-strategy for influence maximization ↗Xianhong Zeng, Huan Li, Yu Zhang et al.
- An ensemble deep learning framework for skin disease classification with explainable and generative AI support ↗Faisal Firdous, Dhruv Yadav, Syed Zoofa Rufai et al.
- An ensemble transfer learning approach for automated tuberculosis diagnosis from chest x-rays using optimized feature selection and XGBoost classification ↗D. N. Keerthana, D. N. Kiran Pandiri, Ram Kumar Karsh et al.
- An evaluation of ambient artificial intelligence scribes at two academic medical centers ↗Jacob Franklin, Ling Chu, Samuel McDonald et al.
- An evaluation of motor activity time-segmentation approaches for depression classification using machine learning ↗Cristóbal Estrada-Salinas, Enrique Garcia-Ceja
- An evaluation of super resolution reconstruction quality for infrared composite material images using deep neural networks ↗Jing Xiao, Y Zhang, Chong Liu et al.
- An explainable AI framework for spatial hotspot detection and temporal forecasting of urban crime ↗Shristi Bose, Jahnavi Raja, Shaleen Bhatnagar
- An explainable SHAP–LIME integrated stacked ensemble framework for bitcoin closing price forecasting ↗Ashwani Kharola, Harvinder Singh, Kaushal Kumar et al.
- An explainable and latency-aware unified framework for hybrid graph cyberattack detection ↗Aniruddha Prabhu B.P., N. R. Sunitha
- An explainable and uncertainty aware lesion guided hybrid CNN ViT framework for diabetic retinopathy grading ↗Paul Kategaya Kisozi, Alone Kimwise, Micheal Kumakech et al.
- An explainable ensemble learning framework for transparent and accurate loan approval prediction ↗Kanishk Gawande, Pallavi, Divya Thakur et al.
- An explainable framework for dementia risk prediction based on lifestyle data using machine learning and deep learning ↗Md. Kowsar Ahmed, Anichur Rahman, Dipanjali Kundu et al.
- An explainable hybrid machine learning approach for automated drug identification for safe dosing in smart healthcare systems ↗Man Mohan Shukla, Brijesh Kumar Chaurasia, Arnavi Mishra et al.
- An explainable hybrid of classical and quantum support vector machine models for maternal mental health risk prediction using multicountry data ↗Shallon Ahimbisibwe, Emmanuel Ahishakiye, Samuel Maling et al.
- An explainable machine learning framework for early student dropout risk prediction and stratification ↗Vinayak Hegde, Anuvarshini Palaniswamy, Doyel Bhar et al.
- An image based case based reasoning system to identify maize crop attacks and recommend treatments ↗Yusuph Emanueli Margwe, Naomi Dassi Tchomté, Franklin Tchakounté et al.
- An improved YOLO11 based object detection algorithm for UAV maritime rescue ↗Jing Wang, Lele Niu, Rongliang Shi et al.
- An inference stage taxonomy-guided prompt framework for culturally aware generation of indigenous motifs ↗Marzie Hatef Jalil, Johari Abdullah
- An integrative theoretical model of AI-supported cybersecurity governance and organizational resilience ↗Irlenys Josefina Tersek Rodriguez
- An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management ↗Ling-Chun Liu, Wanbing Zhan, Wei-Wei Shi et al.
- An intelligent multi-objective decision framework for Time–Cost–Quality optimization in construction scheduling using AHP and OBL–NSGA-III ↗GVLN Murthy, Dr. RVVSV Prasad, A. Venkatakrishna et al.
- An interpretable machine learning framework for predicting next day firm level market stress in the Dhaka Stock Exchange ↗Md Sadman Haque, Mohammad Sameer Ahmed, Md Tasfikur Rahman et al.
- An opinion evolution prediction model based on graph attention and ordinary differential equations ↗Quan Liu, Liuyang Duan, Meimei Jia et al.
- An optimal hybrid framework for carbon price prediction using time series analysis ↗Jiawen Liu, Chungeng He
- An optimized hybrid deep learning model with SHapley Additive exPlanations for pulmonary fibrosis nodule segmentation and severity assessment ↗Pallavi Sachin Patil, S Supreeth, Kiran Kumari Patil
- An orthogonal projection-based iterative KNN classifier for sentiment analysis on small datasets ↗Soufiane El Mrabti, Amal Hjouji, Jaouad El-Mekkaoui et al.
- Application of GAN-based facial reconstruction and recognition system based on dense connection modules ↗Yongfu Liu, Shoujun Tang, Xingrong Hou
- Application of deep learning-based social media data analysis in macroeconomic forecasting ↗Xinqing Geng, Benli Shi
- Application of information retrieval system based on knowledge graph in education ↗Aina Hu, Sharmin Kutty Sivaraman
- Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data ↗Fetlework Gubena Arage, Gebrie Getu Alemu, Getaneh Awoke Yismaw et al.
- Application of multimodal deep learning in art design element extraction and advertising visual optimization ↗Jing Luo, Xiaoyu Ke, Xin Chen
- Applications of artificial intelligence (AI) in clean transportation: an in-depth bibliometric analysis ↗Seyedeh Zahra Hosseini, Parizad Saghari Chiha, Zahra Sadat Saeideh Zarabadi et al.
- Applications of deep learning in the identification and classification of mental health status ↗Xiaolei Wang, Shuo Yang, Xiaohui Feng
- Applying machine learning algorithms and explainable AI to predict stunting and identify determinants among children under five in Ethiopia ↗Tirualem Zeleke Yehuala, Mekuriaw Nibret Aweke, Habtamu Wagnew Abuhay et al.
- Applying machine learning to eye-tracking data for autism identification in high-functioning adults ↗Konstantinos-Filippos Kollias, Christine K. Syriopoulou–Delli, Panagiotis G. Sarigiannidis et al.
- Artificial Intelligence applications in magnetic resonance imaging for automated stroke detection segmentation and outcome prediction ↗Nilofer Neshat, Khush Jain, Shubham Gupta
- Artificial Intelligence driven fault detection and autonomous recovery in zero trust network architectures ↗Sami Morsi, Rajit Nair, Hasan Shojaa Alkahtani et al.
- Artificial intelligence and crime research landscape a bibliometric and conceptual analysis from 2020 to 2025 ↗Zongwen Xia, Chirayut Khamboon
- Artificial intelligence and multi-omics integration advances precision diagnosis and personalized therapy for Alzheimer’s disease ↗Aniket Kakkar, Harpreet Singh, Amit Anand et al.
- Artificial intelligence and the reconfiguration of competency management systems in organizations ↗Maryann Osadebamwen Asemota
- Artificial intelligence applications in electric vehicle supply chain management: a systematic review and research agenda ↗Bhimagoud R. Patil, Mrinal Rahul Bachute, Jay Daniel et al.
- Artificial intelligence applications in pharmacy to enhance medication adherence and improve patient outcomes ↗Nadia Al Mazrouei, Amal Alhosani, Abdulrahman Almutairi et al.
- Artificial intelligence approaches for pollutant assessment and environmental toxicology ↗Ehsan Ghassemi Barghi, Farzaneh Motafeghi, Jafar Gholami Gharab et al.
- Artificial intelligence approaches to resistome profiling and predictive antimicrobial resistance surveillance ↗Christian Joseph N. Ong, Rahmatullah Nazari, Cruz
- Artificial intelligence based prediction of adverse outcomes in bladder cancer patients impact of clinical and environmental determinants ↗Hayder ALshadood, Cyrine Abid, Saad Abdelaziz et al.
- Artificial intelligence deployment capabilities for resilient supply chains under flood-induced disruptions ↗John Nsikan, Benjamin Eneojo Ameh, Victor A. Umoh et al.
- Artificial intelligence driven digital twin for dynamic reconfigurable intelligent surface control in terahertz internet of things mesh networks ↗Dhanish Ladwani, Siddhi Jaiswal, Gurupreet Dhande et al.
- Artificial intelligence driven predictive governance of stadium security in Morocco, France and Qatar ahead of AFCON 2025 and the 2030 FIFA World Cup ↗Mohammed Benhida, Nourddine Enneya, Fatima Zahra Guerss et al.
- Artificial intelligence enabled food quality assessment through digital sensing and explainable analytics ↗Suraja Parida, Sanjukta Dasgupta
- Artificial intelligence for PFAS toxicology and risk assessment ↗Abir Hamze, Emran Alotaibi
- Artificial intelligence for predicting periodontal disease progression and tooth loss: a scoping review ↗Man Hung, Megan Nelson, Hanna Chriss et al.
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