Results 111 to 120 of about 61,624 (324)

From “Mirror Flower, Water Moon” to Multi‐Task Visual Prospective Representation Learning for Unmanned Aerial Vehicles Indoor Mapless Navigation

Journal of Field Robotics, EarlyView.
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang, Yongqiang Cheng, John Murray, Muhammad Khalid, Umar Manzoor   +4 more
wiley   +1 more source

A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019. [PDF]

Neural Comput Appl, 2022
Vellido A, Angulo C, Gibert K.
europepmc   +1 more source

Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction

Journal of Field Robotics, EarlyView.
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini   +3 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

IDENTIFIKASI PENURUNAN KONDISI FUNGSI ORGAN GINJAL MELALUI IRIS MATA MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN LEARNING VECTOR QUANTIZATION

Techno.Com, 2014
Salah satu alternatif untuk mendeteksi adanya penurunan kondisi fungsi organ ginjal dalam tubuh manusia adalah dengan menggunakan iridologi. Biasanya analisa iridologi dilakukan secara manual oleh pakar iridologi.
Ariya Pramana Putra, T. Sutojo
doaj  

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Multi‐Scale Transformer for Image Restoration

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi, Youwei Pan, Chun Zhao, Yuqing Liu, Shaobo Zhang, Heng Zhang, Yang Wen   +6 more
wiley   +1 more source

A state evaluation and fault diagnosis strategy for substation relay protection system integrating multiple intelligent algorithms

The Journal of Engineering
Ensuring the operational reliability of substation relay protection systems through rapid defect diagnosis and state assessment is crucial for maintaining power system stability.
Jiajun Wang, Shiyi Jing, Yu Yao, Kunlun Wang, Bo Li   +4 more
doaj   +1 more source

Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution [PDF]

, 2023
Zixi Tuo, Huan Yang, Jianlong Fu, Yujie Dun, Xueming Qian   +4 more
openalex   +1 more source

Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev, Vikas Palakonda, Il‐Min Kim, Sunghwan Moon, Jae‐Mo Kang   +4 more
wiley   +1 more source