A Comprehensive Lighting Configuration for Efficient Indoor Visible Light Communication Networks by Thai-Chien Bui, Suwit Kiravittaya, Keattisak Sripimanwat, Nam-Hoang Nguyen

“…A flexible link switching initiation algorithm based on the consideration of relative received power with adaptive hysteresis margin is demonstrated. …”
Get full text

SUDDEN CARDIAC DEATH IN PATIENTS WITH CORONARY HEART DISEASE: RESULTS OF THE RUSSIAN MULTI-CENTRE EPIDEMIOLOGICAL STUDY OF MORTALITY, MORBIDITY, AND DIAGNOSTICS AND TREATMENT QUALI... by S. A. Boytsov, N. N. Nikulina, S. S. Yakushin, S. A. Akinina, G. I. Furmenko

“…MI-based diagnostics and/or registration missed 55,6% and 66,5% of the SCD cases in men and women with CHD, respectively. The two main explanations were inadequate diagnostic search at death cause identification (45,4%) and mistakes made at completing medical documents (55,6%). …”
Get full text

Bottom Detection Method of Side-Scan Sonar Image for AUV Missions by Huapeng Yu, Ziyuan Li, Dailin Li, Tongsheng Shen

“…Then, the noise characteristics of the image are analyzed and the denoising algorithm is optimized to effectively remove high-frequency noise. …”
Get full text

Reducing the Environmental Impact of Sewer Network Overflows Using Model Predictive Control Strategy by I. Vasiliev, L. Luca, M. Barbu, R. Vilanova, S. Caraman

“…The proposed algorithm to achieve this goal is Model Predictive Control using Particle Swarm Optimization as optimization method. …”
Get full text

Investigating the impact of spring support stiffness on dynamic buckling of imperfect steel trusses by Pham Van Dat, Dao Ngoc Tien, Ta Duy Hien, Phu-Cuong Nguyen

“…This study focuses on two main imperfections: member length imperfections and loading imperfections. …”
Get full text

Skincare Recommendation System Based on Facial Skin Type with Real-Time Weather Integration by Gabrielle Sheila Sylvagno, Theresia Herlina Rochadiani

“…The system consists of three main components: a ResNet50-based Skin Analyzer, a Weather Analyzer using the Decision Tree algorithm, and a Product Recommendation module. …”
Get full text

Bayesian-optimized ensemble deep learning models for demand forecasting in the volatile situations: A case study of grocery demand during Covid-19 outbreaks by Nader AL Theeb, Hazem Smadi, Naser Al-qaydeh

“…Furthermore, using BO algorithm for hyperparameters tuning improved the forecasting accuracy. …”
Get full text

An Efficient Method for Lung Lesions Classification Using Automatic Vascularization Evaluation on Color Doppler Ultrasound by Roxana Rusu-Both, Adrian Satmari, Romeo-Ioan Chira, Alexandra Chira, Camelia Avram

“…Lung cancer still represents one of the main causes of cancer-related mortality, highlighting the necessity for precise, effective, and minimally intrusive diagnostic methods. …”
Get full text

Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree by Xiaoliang Chen, Jianzhong Zheng, Yajun Du, Mingwei Tang

“…On top of that, A recommendation algorithm is proposed to automatically generate the computer course group that satisfies the staff requirements of IT enterprises. …”
Get full text

Confocal laser scanning microscopy for the diagnosis of dysplastic nevus of the skin by A. V. Sokolova, N. P. Malishevskaya

“…For differential diagnosis of skin melanoma, the presence of the main criteria of malignancy is sufficient: cellular atypia at the site of the dermo-epidermal junction and the disturbance of the papillary architecture of the basal layer. …”
Get full text

Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. …”
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

Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…Detecting epileptic seizures automatically through intelligent methods has been a main challenge in recent years. This is because neurologists are burdened with analyzing electroencephalogram (EEG) data via visual inspection, and automating the process can reduce their workload. …”
Get full text

THE EMPIRICAL COMPARISON OF DEEP NEURAL NETWORK OPTIMIZERS FOR BINARY CLASSIFICATION OF OCT IMAGES by R. Loganathan, S. Latha

“…It is efficient and utilizes minimal memory. The algorithm "gradient descent with momentum" and "Root Mean Square Propagation (RMSP)" are intuitively combined in this method. …”
Get full text

Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal District by V. V. Gamukin

“…Due to the universality and high sensitivity of the received results, the formulated algorithm of calculation of the structure index, is acceptable for convergence determination of the structure of regional economies on the basis of the GRP structure indicator and can be applied in other federal districts of Russia.…”
Get full text

Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train by TIAN Mingjie, HUANG Zhihui, CHEN Xuejing, YANG Quan, YU Hongda

“…The optimal Latin hypercube sampling (OLHS) method was employed to randomly sample the main influencing factors: track irregularities, curve radii, curve elevations, and running speeds. …”
Get full text

Optimizing Q-Learning for Automated Cavity Filter Tuning: Leveraging PCA and Neural Networks by Aghanim Amina, Otman Oulhaj, Oukaira Aziz, Lasri Rafik

“…This paper presents a reinforcement learning-based approach to automate the tuning of a 6thorder combline bandpass filter, operating at 941 MHz, using a Q-learning algorithm. To reduce complexity, only two tuning screws are considered in the optimization. …”
Get full text

Mathematical Simulation of Modes and Characteristics of Asynchronous Motors under Asymmetrical Power Supply by Malyar V.S., Hamola O.Ye., Maday V.S, Vasylchyshyn I.I.

“…Magnetization characteristics of the main magnetic flux and the leakage fluxes paths are used to account for the saturation. …”
Get full text

Piecewise Trend Approximation: A Ratio-Based Time Series Representation by Jingpei Dan, Weiren Shi, Fangyan Dong, Kaoru Hirota

“…PTA represents time series in concise form while retaining main trends in original time series; the dimensionality of original data is therefore reduced, and the key features are maintained. …”
Get full text

K-Means Clustering of Social Studies Performance at Junior High School by Tundo, Syifa Raihanah, Tri Wahyudi, Sugiyono

“…The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. …”
Get full text