Telecomunicaciones, información y comunicación

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

17/09/2025 - This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity...

Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array

17/09/2025 - Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach...

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

18/09/2025 - A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN...

Crater Observing Bioinspired Rolling Articulator (COBRA)

18/09/2025 - Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton...

Learning Optimal Crowd Evacuation from Scratch Through Self‐Play

18/09/2025 - How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation...

OnAIR: Applications of the NASA on‐board artificial intelligence research platform

15/09/2025 - Infusing artificial intelligence algorithms into production aerospace systems can be challenging due to costs, timelines, and a risk‐averse industry. We introduce the Onboard Artificial...

Automated vulnerability evaluation with large language models and vulnerability ontologies

15/09/2025 - The National Vulnerability Database (NVD) publishes over a thousand new vulnerabilities monthly, with a projected 25 percent increase in 2024, highlighting the crucial need for rapid vulnerability...

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

12/09/2025 - This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it...

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

12/09/2025 - Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of...

A Miniature Rotary Electrostatic Clutch for Assigning Multi‐Degrees of Freedom to Insect‐Scale Robots

13/09/2025 - Insect‐scale crawling robots can traverse confined environments; nevertheless, their functionalities are predominantly restricted to sensing because of challenges in integrating actuated degrees of...

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

12/09/2025 - This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model...

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

12/09/2025 - When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language...

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

09/09/2025 - This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future...

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

09/09/2025 - Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence.This article presents a computational method for generating virtual 3D morphologies of...

Developing generative recommender systems for government subsidy programs with a new RQ‐VAE model: Wello and the Korean government case

08/09/2025 - According to an industry survey, many people miss opportunities to apply for government subsidy programs because they do not know how to apply. People also need to search manually and check whether...

Evaluation and incident prevention in an enterprise AI assistant

08/09/2025 - Enterprise AI Assistants are increasingly deployed in domains where accuracy is paramount, making each erroneous output a potentially significant incident. This paper presents a comprehensive...

Introduction to the special issue on innovative applications of artificial intelligence (IAAI 2025)

08/09/2025 - This year's innovative applications of AI special issue features AI systems deployed in real‐world settings, from enterprise platforms to public services, demonstrating both technical rigor and...

Recent advances in finetuning multimodal large language models

03/09/2025 - Finetuning serves as the critical adaptation mechanism for multimodal large language models, bridging their pretrained knowledge with specialized downstream task requirements. This paper reviews...

Shape‐Memory Alloy Torsion Strips for Soft Robotic Manipulation and Morphing

02/09/2025 - In this research, a dedicated configuration of SMA strip is proposed for soft robotic manipulation and morphing. This configuration has broad application prospects and demonstrates remarkable...

Ultra‐Efficient Kidney Stone Fragment Removal via Spinner‐Induced Synergistic Circulation and Spiral Flow

02/09/2025 - Leveraging spinning‐induced localized suction, the spinner device enables ultra‐efficient removal of kidney stone fragments, capturing a larger quantity of fragments from distances exceeding...

Ensemble Deep Learning Approach for Brain Tumor Classification Using Vision Transformer and Convolutional Neural Network

02/09/2025 - This study proposes a deep learning‐based system for classifying brain tumors from magnetic resonance imaging images. Four datasets were created using various wavelet transforms and original...