📊Research & Analysis

Research & Analysis

In-depth research papers, case studies, surveys, and academic insights on finance and technology

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48

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November 17, 2025

Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems

In this study, piezoelectric energy harvesters (PEHs) are designed to offer dual functionality in structural health monitoring (SHM): harvesting electric power ...

Research & Analysis

Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems

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UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity

Ultrafast propagation of magnon-polaritons

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning

Toward Conversational Hungarian Speech Recognition: Introducing the BEA-Large and BEA-Dialogue Datasets

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The Merkle Mountain Belt

Sub-Solar Mass Intermediate Mass Ratio Inspirals: Waveform Systematics and Detection Prospects with Gravitational Waves

Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE

ST-ProC: A Graph-Prototypical Framework for Robust Semi-Supervised Travel Mode Identification

Scaling Spatial Intelligence with Multimodal Foundation Models

Quantum Machine Learning via Contrastive Training

Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers

Person-AI Bidirectional Fit - A Proof-Of-Concept Case Study Of Augmented Human-Ai Symbiosis In Management Decision-Making Process

P1: Mastering Physics Olympiads with Reinforcement Learning

Market-Dependent Communication in Multi-Agent Alpha Generation

Making Evidence Actionable in Adaptive Learning Closing the Diagnostic Pedagogical Loop

LinkXplore: A Framework for Affordable High-Quality Blockchain Data

Learning stochasticity: a nonparametric framework for intrinsic noise estimation

Infinite-Horizon Optimal Control of Jump-Diffusion Models for Pollution-Dependent Disasters

In-Situ Growth of Halide Perovskite Single Crystals and Thin Films on Optical Fiber End Facets

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands

From Black Box to Insight: Explainable AI for Extreme Event Preparedness

Fairness-Aware Graph Representation Learning with Limited Demographic Information

Efficient Reconstruction of Matched-Filter SNR Time Series from Nearby Templates

CBDC Stress Test in a Dual-Currency Setting

Block Structure Preserving Model Order Reduction for A-EFIE Integral Equation Method

Basis Immunity: Isotropy as a Regularizer for Uncertainty

Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models

Artificial Intelligence-driven Intelligent Wearable Systems: A full-stack Integration from Material Design to Personalized Interaction

Architectural Approaches to Fault-Tolerant Distributed Quantum Computing and Their Entanglement Overheads

Alpha Divergence Losses for Biometric Verification

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features

Maximizing the efficiency of human feedback in AI alignment: a comparative analysis

Sangam: Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing

Open Banking Foundational Model: Learning Language Representations from Few Financial Transactions

High-Performance N-Queens Solver on GPU: Iterative DFS with Zero Bank Conflicts

Determinants of financial and digital inclusion in West and Central Africa: Evidence from binary models with cross-validation

How FinTech affects financial sustainability: Evidence from Chinese commercial banks using a three-stage network DEA-Malmquist model

ScaleCall -- Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights

Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation

Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters

Agentic AI for Financial Crime Compliance

When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning

Distribution-valued Causal Machine Learning: Implications of Credit on Spending Patterns

L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems

Momentum-integrated Multi-task Stock Recommendation with Converge-based Optimization

An Efficient and Adaptive Next Edit Suggestion Framework with Zero Human Instructions in IDEs

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