Vol. 2 No. 1 (2026): Algorithms and Intelligence

Published: 2026-12-31

Articles

Cross Granularity Metric Fusion for Rare Species Identification Under Scarce Biodiversity Image Data Tasks

Moritz Keller, Violet Bennett, Roman Lebedev

96-109
- pdf
Diffusion-based Vision-Tactile Policy Learning with Uncertainty-Aware Modality Scheduling for Contact-Rich Robotic Manipulation Tasks

Sofia E. Svensson

317-330
- pdf
Mean-Flow Neural Operators for Long-Horizon Dynamical System Prediction

Seulgi Nam, Valentin Aubert

23-34
- PDF
Neurophysiological Signal Interpretation for Assistive Brain Interfaces through Calibrated Decomposition and Deep Representation Learning

Harper Wong

195-209
- PDF
Improved Adversarial Training Stability in Complex Visual Tasks

Emily Carter, Thomas Whitfield, Charlotte Bennett

88-95
- pdf
Thermo-Hydro-Mechanical Interface Degradation of Offshore Monopiles in Seasonally Frozen Seabeds

Satomi Okada

303-312
- PDF
Preference-Aligned Passage Reranking Without Decoding for Efficient Retrieval-Augmented Generation

Alison Charlene, Jongmin Ko, Keisuke Endo

1-11
- PDF
Sensor Fused Probabilistic Graph Forecasting for Persistent Traffic Groups Across Urban Networks

Celine Boucher, Patrick Mitchell

165-180
- pdf
Joint Sensing-Communication Beam Scheduling for Low-Altitude UAV Data Delivery

Nora P. Russell, Anthony Morris, Gabriel A. Zhang

387-399
- pdf
A Multi-Stage Pre-Validation Framework for Detecting Semantic Errors in LLM-Generated Machine Learning Code

Minghao Chen, Yuxuan Li

68-79
- pdf
Early-Warning Indicators of Torque-State Transitions in Confined Granular Drilling

Lina Neumann admin, Laura V. Braun, Amelie Schubert

283-292
- PDF
Probabilistic Granular Neural Clustering Handles Imbalanced Machine Sensor Streams with Adaptive Granules Online Streaming Data

Matteo Lombardi, Etienne Rey, Nathan Henderson, Logan Armstrong

138-151
- pdf
Physics-informed architecture search with interpretable constraints for sparsely observed nonlinear governing systems identification

Daniel Ferreira da Barros

358-370
- pdf
Persistent observability under memory and storage constraints in embedded Linux platforms

Daniel J. Thompson, Emily R. Chen, Michael A. Brown

54-60
- PDF
Stability-Regularized Temporal Graph Learning for Dynamic Community Detection in Evolving Networks

Xiao Yu

240-253
- PDF
Layered Hallucination Evaluation for Medical Question Answering Across Medical RAG Pipelines

Eliza Baker, Graham Ward, Nadia Masri

110-124
- pdf
Event-stream Dynamics Priors for Low-latency Visual Representation Learning

Nicholas Ho, Ka-Lun Shum

331-342
- pdf
Machine Learning Forecasts of Regional Extreme Precipitation Under Lake-Effect Weather Regimes

Anthony Coleman, Annard Clint

35-45
- PDF
Reliability-Oriented Cellular Infrastructure Sharing for Resilient Urban Networks under Spatially Heterogeneous Demand, Coverage Failures, and Service Recovery Requirements

Kea E. Olivier, Ethan Sithole, Bongani S. Radebe

210-225
- PDF
Temporal Attention Alignment for Action Recognition Under Viewpoint Shifts

Guang Feng, Kevin Lau, Shan Yu

303-316
- pdf
Memory-Bank Calibration for Localized Visual Novelty under Background Shift

Alaa Hussein

269-282
- PDF
Gauge-Equivariant Fourier Operators for Modular Structure Discovery in Temporal Graphs

Arlene Cornelius, Angela Clarence, Jieun Pyo

12-22
- PDF
Multimodal Hallucination Diagnosis in Vision-Language Models through Grounding, Self-Reflection, and Factuality Assessment across Visual Tasks

Tess H. Peters, Niels Meijer

181-194
- PDF
Projected Changes in the Temporal Organization of Heavy Precipitation under Future Climate Scenarios

Lukas Schneider, Felix Wagner

80-87
- pdf
Network-Based Upscaling of Pore Connectivity in Conditioned EPB Soil

Francesco Gentile

393-302
- PDF
Hybrid Test Surrogates for Flexible Composite Pipe Service Life from Sparse Experiments and Models

Airi Yoshida, Amelia Hayes, Romain Vidal

152-164
- pdf
Interpretable governing-physics discovery using sparsity-gated neural operator priors

Thabo Dlamini

371-386
- pdf
Service dependency modeling for fault localization in immersive computing environments Authors

Lukas M. Schneider, Anna R. Meier, Daniel F. Keller

61-67
- PDF
Structural Alignment for Multi-View Graph Domain Adaptation under Distribution Shift

Louis Tso

254-268
- PDF
Backdoored Tool Use Detection in Sandboxed LLM Agents Attempting Data Exfiltration Through Traces

Ryusei Shibata

125-137
- pdf
Geometry-Preserving Manifold Flows for Zero-Sample Model Compression

Ka-Yan Yeung, Jia Wu

343-357
- pdf
Influence of Virtual Target Size Scaling on Depth Estimation Bias in Optical See-Through Augmented Reality

Luca Bianchi, Matteo Conti, , Giulia Romano

46-53
- PDF
Spectral-Residual Koopman Representation Learning and Semigroup Estimation for Stochastic Dynamical Systems under Noisy Observations and Distributional Variability

Paul Mok, Hiu-Tung Yau

226-239
- PDF

Vol. 2 No. 1 (2026): Algorithms and Intelligence

Articles

Cross Granularity Metric Fusion for Rare Species Identification Under Scarce Biodiversity Image Data Tasks

Diffusion-based Vision-Tactile Policy Learning with Uncertainty-Aware Modality Scheduling for Contact-Rich Robotic Manipulation Tasks

Mean-Flow Neural Operators for Long-Horizon Dynamical System Prediction

Neurophysiological Signal Interpretation for Assistive Brain Interfaces through Calibrated Decomposition and Deep Representation Learning

Improved Adversarial Training Stability in Complex Visual Tasks

Thermo-Hydro-Mechanical Interface Degradation of Offshore Monopiles in Seasonally Frozen Seabeds

Preference-Aligned Passage Reranking Without Decoding for Efficient Retrieval-Augmented Generation

Sensor Fused Probabilistic Graph Forecasting for Persistent Traffic Groups Across Urban Networks

Joint Sensing-Communication Beam Scheduling for Low-Altitude UAV Data Delivery

A Multi-Stage Pre-Validation Framework for Detecting Semantic Errors in LLM-Generated Machine Learning Code

Early-Warning Indicators of Torque-State Transitions in Confined Granular Drilling

Probabilistic Granular Neural Clustering Handles Imbalanced Machine Sensor Streams with Adaptive Granules Online Streaming Data

Physics-informed architecture search with interpretable constraints for sparsely observed nonlinear governing systems identification

Persistent observability under memory and storage constraints in embedded Linux platforms

Stability-Regularized Temporal Graph Learning for Dynamic Community Detection in Evolving Networks

Layered Hallucination Evaluation for Medical Question Answering Across Medical RAG Pipelines

Event-stream Dynamics Priors for Low-latency Visual Representation Learning

Machine Learning Forecasts of Regional Extreme Precipitation Under Lake-Effect Weather Regimes

Reliability-Oriented Cellular Infrastructure Sharing for Resilient Urban Networks under Spatially Heterogeneous Demand, Coverage Failures, and Service Recovery Requirements

Temporal Attention Alignment for Action Recognition Under Viewpoint Shifts

Memory-Bank Calibration for Localized Visual Novelty under Background Shift

Gauge-Equivariant Fourier Operators for Modular Structure Discovery in Temporal Graphs

Multimodal Hallucination Diagnosis in Vision-Language Models through Grounding, Self-Reflection, and Factuality Assessment across Visual Tasks

Projected Changes in the Temporal Organization of Heavy Precipitation under Future Climate Scenarios

Network-Based Upscaling of Pore Connectivity in Conditioned EPB Soil

Hybrid Test Surrogates for Flexible Composite Pipe Service Life from Sparse Experiments and Models

Interpretable governing-physics discovery using sparsity-gated neural operator priors

Service dependency modeling for fault localization in immersive computing environments Authors

Structural Alignment for Multi-View Graph Domain Adaptation under Distribution Shift

Backdoored Tool Use Detection in Sandboxed LLM Agents Attempting Data Exfiltration Through Traces

Geometry-Preserving Manifold Flows for Zero-Sample Model Compression

Influence of Virtual Target Size Scaling on Depth Estimation Bias in Optical See-Through Augmented Reality

Spectral-Residual Koopman Representation Learning and Semigroup Estimation for Stochastic Dynamical Systems under Noisy Observations and Distributional Variability

journal-information

sidebar

Menu

Current Issue

Information