diffusion models

PF-HDiffBEV: Bird’s eye view feature enhancement mechanism based on potential field-guided hierarchical conditional diffusion model for autonomous driving

Beyond accuracy in crop classification: calibration, selective prediction, and robustness

Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...

Scalable Real-Time Data Pipelines for AI and Machine Learning–Driven Enterprise Systems

The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...

Adaptive Dual-Channel Diffusion of Disinformation and Correction with LLM-Calibrated Influence on Networks

Disinformation rarely spreads as a single and isolated process. It competes with corrective information for the same audience, and the outcome depends on both how widely false narratives propagate and when corrective interventions are introduced. Existing diffusion models typically assume fixed transmission probabiliti...

Toward predictive alloy design: a vacancy engineering maturity framework

Atomic vacancies are fundamental point defects that govern diffusion, recovery, precipitation, phase transformations, and defect evolution in metallic materials. Recent advances in non-equilibrium processing, vacancy-sensitive characterization, and computational modelling have created opportunities to treat vacancies a...

CellDiffusion: Enhancing scRNA-seq data integration with accurate inference of cell-cell association

Integrating single-cell transcriptomic datasets across laboratories, conditions, and technologies remains challenging because of cell type–specific batch effects and heterogeneous biological compositions. Current methods often fail to separate genuine biological variation from technical noise, misaligning distinct cell...

Advanced Hermetic Fuel Cladding Closure with Integrated Thermal-Chemical Mitigation for High-Temperature Micro-Reactors

This repository contains a complete, validated engineering blueprint and transient thermol model for sealing silicon carbide nuclear fuel cladding using Niobium end closure. The design solves thermal expansion mismatch ,Solid-state diffusion and weld-induced thermol shock for advanced high temperature SMRs and space mi...

EXTREME RESEARCH MONOGRAPH Longevity Biomarkers Microrobotic Sampling and Trustworthy Biosensing at the Limit

EXTREME RESEARCH MONOGRAPH Longevity Biomarkers Microrobotic Sampling and Trustworthy Biosensing at the Limit English Introduction and Publication Abstract Research coupling Longevity biomarkers × microrobotic sampling × trustworthy biosensing Evidence firewall Level 1 sample fidelity → Level 2 aging mechanism validity...

Adaptive physics-inspired angular-spatial modeling for multi-shell diffusion MRI denoising

Abstract Objective. Multi-shell diffusion magnetic resonance imaging (dMRI) provides rich q-space information but is susceptible to noise, which can disrupt spatial anatomy, intra-shell directional relationships, inter-shell signal attenuation, and downstream diffusion parameter estimation. We aim to develop a denoisin...

CFRD-Net: Calibrated Residual Latent Diffusion Network for Pomegranate Fruit Quality and Disease Classification

Fruits are essential components of the global diet which plays a major role in agricultural growth and the economy.However, high-value fruits like pomegranates frequently lose the market-value due to quality deterioration, ripeness variations, surface defects, and diseases.Therefore, this research introduces the Calibr...

Acute stress reorganizes pregenual cingulate and subthalamic coupling to approach-avoidance decisions in remitted depression

Major depressive disorder (MDD) is highly recurrent, and psychosocial stress is a central precipitant of relapses. Daily choices require weighing potential rewards against costs, a process disrupted in MDD that may contribute to relapse. Here, we tested whether a psychosocial stressor affects neural and computational m...