Results 71 to 80 of about 36,792 (238)
Optimizing Car License Plate Recognition Through Gray Wolf Optimization Algorithm
License plate recognition is an essential part of contemporary surveillance systems since it is helpful in many applications, including parking management, vehicle access control, traffic control, and law enforcement. This project aims to provide a robust and dependable method for detecting license plates that will outperform existing approaches in ...
Ahmed Jafar Aty, Jamshid B. Mohasefi
openaire +1 more source
An Improved Gray Wolf Optimization Algorithm for Solving Disassembly Sequencing Problems
Abstract In recent years, the utilization of end-of-life products which may cause serious environmental pollution has received much attention from both industrial and academia. The recycling and reusing of waste products have an essential step that is disassembly.
Laide Guo +4 more
openaire +1 more source
Tracking Climate and Environmental Attention: A News‐Based Composite Index
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
A Modified Grey Wolf Optimizer Based Data Clustering Algorithm
Data clustering is an important data analysis and data mining tool in many fields such as pattern recognition and image processing. The goal of data clustering is to optimally organize similar objects into clusters.
Ramin Ahmadi +2 more
doaj +1 more source
A Modified Gray Wolf Optimizer‐Based Negative Selection Algorithm for Network Anomaly Detection
Intrusion detection systems are crucial in fighting against various network attacks. By monitoring the network behavior in real time, possible attack attempts can be detected and acted upon. However, with the development of openness and flexibility of networks, artificial immunity‐based network anomaly detection methods lack continuous adaptability and
Geying Yang +5 more
openaire +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
PM2.5 is one of the main factors of air pollution, so the prediction of PM2.5 is of great significance. For this reason, the innovation priority discrete nonlinear gray model based on gray wolf optimization algorithm is established, which is based on the innovation priority principle in the gray system principle.
Liao Hongming, Zhang Lanxi
openaire +1 more source
Aiming at the difficulties in accurately calculating the movement and deformation of small‐sized, deep‐buried dams with a significant height‐to‐depth ratio in deep fully mechanized caving mining, this study proposes to separate the analysis of surface and dam deformation.
Zhang Feng +7 more
wiley +1 more source
How local is the information in MPS/PEPS tensor networks?
Two dimensional tensor networks such as projected entangled pairs states (PEPS) are generally hard to contract. This is arguably the main reason why variational tensor network methods in 2D are still not as successful as in 1D.
Anshu, Anurag, Arad, Itai, Jain, Aditya
core +1 more source

