Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling

Price-Discovery Admissibility in Tokenized Fixed Income: Identification, Affine Characterization, and the Structure of the Token-to-Fiat Mapping

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search

ORCA — Online Regime Correlation Analyzer

PSTNet: Physically-Structured Turbulence Network

POSEIDON: Physics-Optimized Seismic Energy Inference and Detection Operating Network

Q-KVComm: Efficient Multi-Agent Communication via Adaptive KV Cache Compression

Hybrid Physics-ML Framework for Pan-Arctic Permafrost Infrastructure Risk at Record 2.9-Million Observation Scale

Shepherd Grid Strategy: Towards Reliable SWARM Interception

To What Extent Can Public Equity Indices Statistically Hedge Real Purchasing Power Loss in Compounded Structural Emerging-Market Crises? An Explainable ML-Based Assessment

DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation

GFT: Gradient Focal Transformer

Advancing Eurasia Fire Understanding Through Machine Learning Techniques

ELENA: Epigenetic Learning through Evolved Neural Adaptation

Smooth Attention: Improving Image Semantic Segmentation

Multi-Objective Approach for Similarity Function Optimal Threshold Selection in Siamese Networks in STS Tasks

Deep Learning-Driven Approach for High-Complexity Character Classification

Non-Leidenfrost Levitation of a Droplet Over Liquid Surface