Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Green packaging from consumer and business perspectives
Sustainable development is a global objective that aims to address the societal challenge of
climate action, the environment, resource efficiency, and raw materials. In this sense, an …
climate action, the environment, resource efficiency, and raw materials. In this sense, an …
A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of …
Estimation of landslide susceptibility is still an ongoing requirement for land use
management plans. Here, we proposed two novel intelligence hybrid models that rely on an …
management plans. Here, we proposed two novel intelligence hybrid models that rely on an …
The state-of-the-art in expert recommendation systems
N Nikzad–Khasmakhi, MA Balafar… - … Applications of Artificial …, 2019 - Elsevier
The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …
that guide users to their needs through an information retrieving process. An expert …
BBO-BPNN and AMPSO-BPNN for multiple-criteria inventory classification
L Cui, Y Tao, J Deng, X Liu, D Xu, G Tang - Expert Systems with …, 2021 - Elsevier
Item classification is an issue among inventory managers who want to achieve key-point
management of items with different emphases, thus prompting managers and researchers to …
management of items with different emphases, thus prompting managers and researchers to …
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays
S Liang, Z Fang, G Sun, G Qu - Applied Soft Computing, 2022 - Elsevier
Biogeography-based optimization (BBO) is a swarm intelligence optimization algorithm
based on migration and mutation operations, which is usually used to solve the complex …
based on migration and mutation operations, which is usually used to solve the complex …
Spatial landslide susceptibility assessment based on novel neural-metaheuristic geographic information system based ensembles
Regular optimization techniques have been widely used in landslide-related problems. This
paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf …
paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf …
Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches
E Alinezhad, B Teimourpour, MM Sepehri… - Neural Computing and …, 2020 - Springer
Community detection is one of the most well-known and emerging research topics in the
area of social network analysis. There are a wide variety of approaches to find communities …
area of social network analysis. There are a wide variety of approaches to find communities …
Voltage stability assessment using multi-objective biogeography-based subset selection
We propose a method for voltage stability assessment of power systems using a support
vector machine (SVM). We input the information from measurement signals to the SVM. The …
vector machine (SVM). We input the information from measurement signals to the SVM. The …