Results 111 to 120 of about 168,985 (282)

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou, Junkai Ren, Zhiwen Zeng, Junhao Xiao, Xinglong Zhang, Xian Guo, Zongtan Zhou, Huimin Lu   +7 more
wiley   +1 more source

Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields

Remote Sensing, 2017
Change detection has been widely used in remote sensing, such as for disaster assessment and urban expansion detection. Although it is convenient to use unsupervised methods to detect changes from multi-temporal images, the results could be further ...
Huai Yu, Wen Yang, Guang Hua, Hui Ru, Pingping Huang   +4 more
doaj   +1 more source

Modeling the Probability of Tsunami Fire Ignition Based on Data From the 2011 Tohoku and 2024 Noto Peninsula Earthquakes, With Recommendations to Reduce Emerging Fire Risk in Tsunami Vertical Evacuation Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent tsunamigenic earthquakes in Japan have highlighted the emerging fire hazard triggered by tsunami inundation and its impact on tsunami vertical evacuation (TVE) structures. This new type of fire following earthquake, referred to as “tsunami fires,” may be a potential universal hazard that tsunami‐prone countries face; however, it has not
Tomoaki Nishino
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Fast bootstrap and reliable readout using hidden references for DNA data storage

iMeta, EarlyView.
This study provides a bootstrap readout framework for DNA data storage based on multiple‐fold hidden references. We employ a multi‐stage alignment and error correction strategy, transforming the de novo readout into a resequencing‐like workflow. Correlation to the hidden watermark reference identifies low‐error‐rate reads, and bit‐wise consensus ...
Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan   +6 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China

International Studies of Economics, EarlyView.
ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

Field dynamics of visual perception as framed in Markov random fields of computer vision

Gestalt Theory
This is a short tutorial on the concept of the Markov random field (MRF) as applied in computer vision and its relationships with salient terms in the psychology of visual perception, especially connected with Gestalt theory.
Burigana Luigi
doaj   +1 more source

The Double‐Edged Sword of Servant Leadership: Motivational Climates, Helping Behavior, and Financial Performance

Journal of Organizational Behavior, EarlyView.
ABSTRACT Research on the effects of servant leadership on firm success has yielded inconsistent results. Connecting servant leadership theory to achievement goal theory, we theorize that servant leadership exerts both beneficial and detrimental effects on firms by shaping two distinct motivational climates: mastery climate and performance climate ...
Therese Egeland, Alexander Madsen Sandvik, Vidar Schei, Claudia Buengeler   +3 more
wiley   +1 more source