Discover Artificial Intelligence 2026: all accepted papers
- Comprehensive machine learning approaches for disease prediction current applications recent advances and future prospects ↗Tehreem Khan, Tayyaba Usman, Ifrah Khalid et al.
- Comprehensive review of traditional and deep learning approaches to text to speech synthesis ↗Tien-Dung Do, Dinh-Tuan Nguyen, Trong-Khoi Nguyen
- Comprehensive survey of global research trends, challenges, and comparative advances in quantum cryptography and post-quantum cryptographic algorithms ↗Anubhav Saxena, Dinesh Kumar Saini, Satpal Singh Kushwaha
- Computational models for biomarker identification in amyotrophic lateral sclerosis using transcriptomics and artificial intelligence ↗Renu Yadav, P Sriram Kumar, Pragya Pragya et al.
- Computational paradigm for women and children safety using emotion recognition using hybrid convolution neural network ↗Nanda R. Wagh, Anant S. Yadav, Reena Mahapatra Lenka et al.
- Conceptualising heart disease prediction through a unified framework combining clinical theory and machine learning models ↗Diana Olivia, Yarakam Shiva Chaitanya Reddy, Vibha Prabhu et al.
- Conditional safe haven behavior of bitcoin during market stress using explainable artificial intelligence ↗B. R. Manjunath, C. H. Vasanth Kumar
- Conflict-aware uncertainty alignment for tool-augmented document-centric multimodal intelligence ↗Rathinasamy Muthusami, Kandhasamy Saritha
- Construction of a multimodal assessment model of cross-cultural English teaching effectiveness based on deep learning ↗Xueyu Sun, Weiwei Dou, Yuan Yang et al.
- Contrastive learning with prototype reliability calibration for plant leaf recognition ↗Xianfeng Zeng, Wentian Cai, Jing Lin et al.
- Contrastive self-supervised learning for epileptic seizure detection from EEG with calibration and robustness evaluation under physiology-aligned perturbations ↗Mohammed Zuhair Al-Taie, Firas Hazzaa, Akram Qashou
- Cost-sensitive ensemble learning for bankruptcy prediction under extreme class imbalance ↗Tu Thanh Dam, Xuan Tho Dang
- Crime prediction before during and after COVID 19 using machine learning and RNN LSTM models ↗Mohammed Abdul Shafee, Nitin Arvind Shelke, Rohit Agrawal et al.
- Cross temporal adaptive feature fusion for intelligent multi class surveillance crime recognition ↗T. Neha, Vasumathi Devara
- Cross-border e-commerce platform system improvement by a Siamese network model for diverse needs ↗Ruoxu Hou, Yaqi Lu, Fangjun Ren
- Cross-modal and cross-emotion generalization of gender brainprints decoded from emotional EEG ↗Yueying Zhou, Xianglei Peng, Pengpai Wang
- Current evidence on deep learning diagnostic accuracy and clinician augmentation in endodontic imaging tasks ↗M. Emshal, Shivangi Vats, Laxmish Mallya
- Curvature aware gradient projection prototype meta learning framework improves low resource English dialect recognitionXiaomin Chen, Qing Aiour summary
- Customized U-Net architecture for automated optic disc segmentation in retinal fundus images ↗Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi et al.
- DPD Helix quantum inspired multi biometric medical image watermarking framework using Quantum Particle Swarm Optimization ↗Bhupendra Kumar Bhardwaj -, Sharvani Singh, Molla Addisu Mossie et al.
- Data-driven integration of artificial intelligence recruitment and competency assessment for selecting construction managers in India ↗Manish Bharadwaj, Manoj Patwardhan, Anoop Kumar Shukla
- Data-driven multi-objective optimization of recycled aggregate concrete mixes via LightGBM strength modelling and SHAP interpretability ↗Biswarup Yogi, Raj Majumdar, Pritha Ghosh et al.
- Decentralized TDMA for IoT networks based on synchronization theory with intermittent communication ↗Hiroyuki Yasuda, Takahito Mitsui, Aohan Li et al.
- Deep CNN ensemble framework for early detection of epileptic seizures using STFT-derived EEG features ↗Unnati Chaurasia, Shilpa SJ, Himanshu Kumar Pathak et al.
- Deep feature extraction based WaveNet CNN framework for visual sentiment analysis ↗Siddhi Kadu, Bharti Joshi, Pratik K. Agrawal
- Deep knowledge tracking and course recommendation model for online education learners ↗Jianping Qian, Hua Fan
- Deep learning and IoT-based intelligent exhibition and visual communication design ↗Shiqian Xiang, Tianjie Gao, Lan Wang
- Deep learning as a bridge between sequencing-derived biological data and functional interpretation ↗Haopeng Hong, Lunhui Liu, Wanzhe Liao et al.
- Deep learning based identification and analysis of brain and breast tumours using VGG16 ResNet50 and EfficientNetB0 ↗Sheik Imran, N. Pradeep, Suchi Mishra et al.
- Deep learning for brain tumour segmentation on MRI with focus on robustness uncertainty and clinical translation ↗Behnam Kiani Kalejahi, Mohammad Javad Rajabi
- Deep learning model for infant brain tissue segmentation using 3D patch-wise U-Net with weighted-average reconstruction ↗Sandile Thamie Mhlanga, Serestina Viriri
- Deep learning triplet guided cross modal retrieval leveraging semantic relationships for embedding generation ↗Nikita Bhatt, Priti Kulkarni, Amit Thakkar et al.
- Deep learning-based automatic evaluation model for translation quality of master of translation and interpreting ↗Biao Li, Xiaotong Wang, Jianxun Guo et al.
- Deep learning-based evaluation system for assessing actor performance using facial images ↗H. Varun Chand, Seema Sabharwal, Weiwei Jiang et al.
- Deep learning-based localization and tracking of elderly individuals for healthcare monitoring ↗Priyanka Muruganandham, Farjana Farvin Sahapudeen, Sangeetha Jayaraman et al.
- Deep reinforcement learning-supported innovative design method for intangible cultural heritage creative products ↗Na Zhang, Xinyuan Fan, Xiumei Ren et al.
- Design a novel routing protocol for flying ad hoc networks based on fuzzy inference to enhance quality of service ↗Parag Sohoni, Shiv Shakti Shrivastava, Praveen Kumar Mannepalli et al.
- Design and implementation of an end to end music audio generation system based on diffusion probabilistic model ↗Yang Yang, Rui Luo, Rong Zhang
- Design and optimization of miniaturized UWB MIMO antenna using ML methods for multiband applications ↗Laxmikant K. Shevada, Javed Sayyad, Sumit Kumar
- Design of a RAG framework for cardiology EHR analysis ↗Annamaria Defilippo, Giovanni Canino, Nicola Procopio et al.
- Design of a deep learning-driven multidimensional evaluation model for youth training system performance assessment ↗Bingmei Yu, Wei Li, Chuanzhi Zhou
- Design of an English cross-scene model for enhanced mobile multimedia based on federated learning ↗Xiaoqin Huang, Shuying Chen
- Designing a safe generative AI-powered chat assistance system for mental health using a bounded generative framework ↗Udochukwu John-bright Okike, Amarachi Eche, Chimeremeze Victor Amaechi et al.
- Designing marketing strategies based on a dual-method analysis of consumer attitudes toward generative AI ↗Pouria Kheiri, Iman Raeesi Vanani, Maghsoud Amiri
- Detecting communities in social networks with graph convolutional neural networks ↗M. Rekha, Aaquib Hussain Ganai
- Developing an Amh3MD as a multimodal dataset for the detection of information disorders ↗Andualem Woldegiorgis, Mohammed Abebe Yimer, Durga Prasad Sharma et al.
- Developing machine learning models for estimating the shear capacity of barbell squat shear walls under seismic forces ↗Ahed Habib, Zaid A. Al-Sadoon, Murat Saatçioğlu et al.
- Development of a machine translation system using federated learning architecture for low resource Indian languages ↗Parvez Aziz Boruah, Hiren Kumar Deva Sarma, Shikhar Kumar Sarma
- Development of a multi-facet facial recognition model for institutional attendance activities during examination scenario ↗Kufre Esenowo Jack, Victor Samuel Rizama, Kehinde Rahmon Adebayo et al.
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