Enhanced audio classification with quantum-inspired neural layers and exponentially weighted attention fusion
A comprehensive review of intelligent end-to-end networking solutions through the integration of graph neural networks and deep reinforcement learning
Enhancing biomedical text interpretation through neuro-symbolic knowledge integration
A comprehensive review on fractional-order coronavirus models: Optimization of numerical results, control, applications, and future predictions
A comparative study of deep neural network architectures with chaotic optimization for electroencephalography-based emotion recognition
Optimizing predictive accuracy in general medical exams using hybrid machine learning and metaheuristic optimization methods
Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives
TrustFCL: Task-grained model assessment and aggregation for secure federated continual learning
Complex variable neural network controller for port-Hamiltonian systems with non-holonomic constraints
A two-phase branch-and-bound algorithm for solving vehicle routing problem with maximum duration constraint