Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review by Lanka Chris Sejaphala, Vusimuzi Malele, Francis Lugayizi

“…Furthermore, the results demonstrate that on average, advanced machine learning algorithms can achieve an accuracy of 96.03% compared to traditional machine learning algorithms which achieved 91.67%. …”
Get full text

Research on mulberry leaf disease recognition method based on deep learning by Ye Hui, Xiang Donghui, Zeng Songwei

Get full text

Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

“… Nowadays the amount of gathered raw data emphasizes the importance of further data processing done by skilled engineers aided by computer algorithms. Researchers develop new algorithms for the automated determination of geometrical features, such as symmetry and main axes, skeleton lines, etc. …”
Get full text

An Improved Robust Filtering Recursive Algorithm for Stochastic Uncertain Vehicle INS/OD Systems With Anomalous Measurements by Shuang Pan, Chao Wang, Chunlei Zhang, Linping Feng

“…The autonomous vehicular navigation technology has gained more and more attention of researchers. Odometer is the most commonly used auxiliary sensor for autonomous navigation in vehicles due to its stability and high accuracy. …”
Get full text

Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

Get full text

Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology by Wang Jinshuo

“…The detection wavelength selection (1500-1800nm) and detection site (fingertip) were optimized, and the applicability of diffuse reflection and transmission detection modes was compared. In response to the complex and easily interfered characteristics of near-infrared spectral signals, an innovative BP neural network algorithm is introduced to construct a prediction model. …”
Get full text

Research on Measurement and Statistical Characteristics of Air-to-Ground Bidirectional Links Channels by Yang Yuxin, Lei Taiya, Hua Boyu, Chen Xiaomin, Liu Yuchao, Li Hanpeng, Zhu Qiuming

Get full text

Research on Rock Fracture Surface Morphology Characterization under Brazilian Test by Zhigang Feng, Xuezai Pan, Guoxing Dai, Hongguang Liu

Get full text

Research on load labeling method for big data in novel power system by ZHANG Ximing, XU Huan, YANG Qiuyong

Get full text

Research on simulation of permanent magnet synchronous motor in full speed range. by Mingrun Yuan, Yuke Meng, Xiaozhong Qi, Xiao Li, Ning Zhang

Get full text

Research on landing distance of a civil aircraft based on Bayesian network by WANG Ke, SHAO Jingwen, YANG Jun

Get full text

Research on Highway Lane Change Control Strategy Considering Driving Styles by Yi Ren, Lei Zhang, Xiyao Liu

Get full text

Research on emotion monitoring of public based on social network big data by Aili LI, Zishuai ZHANG, Yin LIN, Qiuju WANG, Jianan YANG, Weicheng MENG, Yanfeng ZHANG

“…In recent years, social networking platforms such as Sina Weibo and Twitter have gradually become one of the main carriers for reflecting social public opinion, providing a convenient platform for netizens to express their opinions and emotions.Public opinion monitoring based on social network big data has become a new research hotspot.People’s emotions monitoring using social network big data in various countries is helpful to directly grasp people’s emotional tendencies in international relations, and has a great impact on the diplomacy, foreign trade, and other aspects.Based on this, a public sentiment monitoring system for Chinese and Japanese data was proposed, which could analyze the emotional tendencies contained in Chinese and Japanese data on social platforms such as Sina Weibo and Twitter simultaneously, and displayed them to users in a visual form.In the aspect of sentiment analysis algorithm, based on the BERT model and combined with the self-expanding Chinese and Japanese sentiment lexicon, a new sentiment analysis model, EmoBERT, was proposed.The experimental results show that, compared with the original BERT model, the EmoBERT has achieved good results on both Chinese sentiment classification tasks and Japanese sentiment classification tasks.Among them, EmoBERT-C increases the accuracy of Chinese BERT from 89.68% to 92.15%, and EmoBERT-J increases the accuracy of Japanese BERT model from 74.73% to 78.26%.…”
Get full text

Research of patients with alcohol dependence and their correction, taking into account gender aspects by Z. Sh. Ashurov, D. P. Kim

“…Implementation of the clinical research results.This аalgorithm for the psychotherapeutic correction of emotional-personal disorders in patients with alcoholismcan increase the effectiveness of the treatment of patients with alcohol dependence by using psychopharmacotherapy. …”
Get full text

Mixed Integer Nonlinear Programming-Based Unit Commitment of Conventional Thermal Generators Using Hybrid Evolutionary Algorithms by Syed Arslan Ali Shah, Noor Hussain Mugheri, Riaz Hussain Memon, Aamir Ali Bhatti, Muhammad Usman Keerio

Get full text

Research on the Reliability of Intelligent Dispatching Management System for Open-pit Mines by QIU Zixian, XU Yueyun, WANG Xiaowei, HU Manjiang, QIN Hongmao

Get full text

Research on Control Strategy Technology of Upper Limb Exoskeleton Robots: Review by Libing Song, Chen Ju, Hengrui Cui, Yonggang Qu, Xin Xu, Changbing Chen

“…The current research still faces challenges such as the insufficient real-time performance of algorithms and limited individualized adaptation capabilities. …”
Get full text

Research Progress on Modulation Format Recognition Technology for Visible Light Communication by Shengbang Zhou, Weichang Du, Chuanqi Li, Shutian Liu, Ruiqi Li

“…This paper systematically reviews the research progress in MFR for VLC, comparing the theoretical frameworks and limitations of traditional likelihood-based (LB) and feature-based (FB) methods. …”
Get full text

Research on target localization and adaptive scrubbing of intelligent bathing assistance system by Ping Li, Ping Li, Shikai Feng, Hongliu Yu

Get full text

Assessing marine ecosystem risks through unsupervised methods by Laura Pavirani, Pasquale Bove, Gianpaolo Coro

Get full text