1.    A multimodal deep learning framework for the detection of fetal abnormalities using maternal vital parameters.
2.    An Adaptive Token-Ordering Framework for Efficient and Coherent Diffusion Language Model Generation
3.    Machine learning and deep learning techniques to detect mental stress using various physiological signals (use XAI as well).
4.    A hybrid quantum-classical learning framework for accurate cloud computing workload forecasting.
5.    Textual Cyber Abuse Detection Using Cutting-Edge Natural Language Processing Techniques: Language Models and Large Language Models.
6.    A privacy-preserving LLM framework for secure and verifiable smart contract generation and analysis.
7.    Generalization-Aware Spatio-Temporal Hypergraph Learning for EEG-Based Depression Detection.
8.    A streaming inference framework for real-time vision-language-action models with low-latency perception and action generation.
9.    Human-in-the-loop systems for diagnosis and prognosis.
10.    A Blockchain-Sharded Federated Learning Framework with Differential Privacy for Secure and Scalable Healthcare Analytics.
11.    A privacy-preserving blockchain sharding framework for secure healthcare data sharing.
12.    An Adaptive Homomorphic Federated Learning Framework for Secure and Scalable Breast Cancer Diagnosis (XAI can also be used).
13.    A spatio-temporal motion attribution framework for interpretable and controllable video generation (use XAI).
14.    An adaptive behavior sampling framework for zero-shot reinforcement learning across unseen tasks.
15.    A locality-aware attention framework with decoupled knowledge memory for efficient large language model pretraining.