Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
Get full text

Calculating place-based transit accessibility: Methods, tools and algorithmic dependence by Christopher Higgins, Matthew Palm, Amber DeJohn, Luna Xi, James Vaughan, Steven Farber, Michael Widener, Eric Miller

“…Comparisons of the estimated accessibilities also reveal evidence of spatial clustering in the ways paths are calculated by some tools relative to others at different locations around the city. With the growing emphasis on accessibility-based planning, analysts should approach the calculation of accessibility with care and recognize the potential for algorithmic dependence in their calculated accessibility results.…”
Get full text

A simple and efficient algorithm for genome‐wide homozygosity analysis in disease by Wei Liu, Jinhui Ding, Jesse Raphael Gibbs, Sue Jane Wang, John Hardy, Andrew Singleton

Get full text

Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…This paper introduces the network structure and research progress of various algorithms, summarizes their characteristics, advantages, and limitations based on their structures, summarizes the main common datasets and evaluation indicators in the field of object detection, analyzes the performance of various algorithms and their improvement methods, discusses the application status of various algorithms in different fields, and finally looks forward to the future research directions of one-stage object detection algorithms.…”
Get full text

A Social DTN Network Routing Algorithm Based on Data Link by WANG Zhihai, GAO Xueyao

“…DTN social network is connected in wireless way, and the activity of connection between nodes is different. Through evaluation of the activity of the link, quantitative analysis can guide the data transmission in the network. …”
Get full text

Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection by Peng Luo, Rangjia Cai, Yuanbo Guo

“…Thus, we propose a method CLAD: Contrastive Learning Algorithm for Detecting Low-resource Cryptographic Attack Event. …”
Get full text

Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images by Ahmed Mohammed, Zohair Al-Ameen

“…The proposed algorithm is compared with six modern algorithms, and the outputs are evaluated using two no-reference methods. …”
Get full text

Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…By selecting different features, the optimal feature combination for predicting rock compressive strength was obtained, and the optimal parameters for different models were obtained through the Sparrow Search Algorithm (SSA). …”
Get full text

Algorithmic personalization: a study of knowledge gaps and digital media literacy by Vaclav Moravec, Nik Hynek, Marinko Skare, Beata Gavurova, Volodymyr Polishchuk

“…This article introduces a novel information-analytical system designed to evaluate the level of knowledge among different social classes regarding personalized content in the digital media ecosystem. …”
Get full text

Motion Planning for Mobile Manipulators Based on an Improved A* Algorithm and Manipulability by Cao Yi, Zhu Boyu, Gu Chao, Zhao Zhihua, Guo Yinhui

“…To address the problems of long planning time and poor operability of pick-and-place (PAP) movement of a mobile manipulator in an indoor environment, an enhanced regular A* algorithm was proposed to determine the optimal docking position and perform system motion planning, using manipulator operability as the evaluation criterion. …”
Get full text

A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images by Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj, Alaaeldin M. Hafez

“…The second setup is a fusion technique which utilized QGH with the fuzzy C-means algorithm to choose the best features. In the setups, we allocate the assessment to accuracy based on the selection of best features and of different categories of the cancer. …”
Get full text

A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

“…In this article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases from big data. …”
Get full text

A pair-based task scheduling algorithm for cloud computing environment by Sanjaya Kumar Panda, Shradha Surachita Nanda, Sourav Kumar Bhoi

“…The performance evaluation shows that the proposed algorithm produces better layover time in comparison to existing algorithms. …”
Get full text

Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…We have carried out an extensive numerical evaluation and comparisons for experimental tests using twenty benchmark functions with different features to measure the efficiency of the algorithm. …”
Get full text

Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. …”
Get full text

Comparison of three one-dimensional time-domain electromagnetic forward algorithms by Frederik Alexander Falk, Anders Vest Christiansen, Thomas Mejer Hansen

“…These algorithms differ in their approach and implementation, making some more suitable than others for specific applications. …”
Get full text

Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction by Syed Mohammad, Vaisali Chandrasekar, Omar Aboumarzouk, Ajay Vikram Singh, Sarada Prasad Dakua

“…This adjustment highlights the importance of concentration levels in reflecting the variability specific to individual interaction sites. The algorithm results show that the internal validation performance of RF, XGBoost, and MLP is strong, with AUC scores of 0.90, 0.90, and 0.87, respectively. …”
Get full text

Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms by Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh

“…This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. …”
Get full text

A Hybrid Artificial Bee Colony Algorithm for the Service Selection Problem by Changsheng Zhang, Bin Zhang

“…Finally, this approach is evaluated experimentally using different standard real datasets and synthetically generated datasets and compared with some recently proposed related service selection algorithms. …”
Get full text

Automatic eddy detection in the MIZ based on YOLO algorithm and SAR images by Nikita Sandalyuk, Eduard Khachatrian

Get full text