Reformulation of Electronic Evidence in Forex Trading Manipulation Crimes by Terra Whisnu Murti, Abdul Kholiq

“…The aim of this study is to find the root causes of problems in legislation and weaknesses of law enforcement officials in maintaining the validity and authenticity of electronic evidence in cases of forex trading manipulation, as well as to reformulate relevant laws after identifying the root causes of the problems. …”
Get full text

Prediction of groundwater level Sharif Abad catchment of Qom using WANN and GP models

“…In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. For this purpose used of monthly groundwater levels for modeling in the three observed wells located in the Sharif Abad watershed of Qom. …”
Get full text

An edge awareness-enhanced visual SLAM method for underground coal mines by Qi MU, Xin LIANG, Yuanjie GUO, Yuhao WANG, Zhanli LI

Get full text

Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

Get full text

Enhanced Spatiotemporal Landslide Displacement Prediction Using Dynamic Graph-Optimized GNSS Monitoring by Jiangfeng Li, Jiahao Qin, Kaimin Kang, Mingzhi Liang, Kunpeng Liu, Xiaohua Ding

Get full text

Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach by Marc Semper, Manuel Curado, Jose Luis Oliver, Jose F. Vicent

Get full text

Dybkov model for the estimation of boron diffusion in the FeB/Fe2B bilayer on AISI 316 steel by Naima Hadjadj, Bendaoud Mebarek, Yassine El Guerri, Mourad Keddam

Get full text

A neural network approach to carbon emission prediction in industrial and power sectors by Syed Azeem Inam, Syed Muhammad Hassan Zaidi, Abdullah Ayub Khan, Sajid Ullah

Get full text

Study on load reduction and vibration control strategies for semi-submersible offshore wind turbines by Dongxiao Bai, Bing Wang, Yinsheng Li, Wancheng Wang

Get full text

Continuous Estimation of Swallowing Motion With EMG and MMG Signals by Zhenhui Guo, Ziyang Wang, Yue Wang, Weiguang Huo, Jianda Han

Get full text

A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

Get full text

Resource Integrity Vulnerabilities and Protections in RPG Games: A Case Study of Elancia by Pyo Gil Hong, Sung Won Lee, Dohyun Kim

Get full text

Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

“…The performances of both models are calculated using the Root Mean Square Percentage Error (RMSPE), Root Mean Square Relative Percentage Error (RMSRPE), Mean Absolute Percentage Error (MAPE), Mean Absolute Relative Percentage Error (MARPE), Kling–Gupta Efficiency (KGE), and also the coefficient of determination, R². …”
Get full text

A novel hybrid model for predicting the bearing capacity of piles by Li Tao, Xinhua Xue

“…Six statistical indices (e.g., coefficient of determination (R2), mean absolute error (MAE), root mean squared error (RMSE), relative root mean squared error (RRMSE), BIAS and discrepancy ratio (DR)) were used to evaluate the performance of the models. …”
Get full text

Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

Get full text

Distance Constrained Sparse Representation Approach for Scene Based Nonuniformity Correction in Infrared Imaging by Zhe Liu, Hongtao Deng, Xun Zhu, Longxiang Li

Get full text

An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network by Thanh Han-Trong, Hoang Nguyen Viet

“…The performance of the proposed method is evaluated through the root mean square error parameter as well as compared with other methods. …”
Get full text

SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

Get full text

A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

Get full text

Powder diffraction crystal structure determination using generative models by Qi Li, Rui Jiao, Liming Wu, Tiannian Zhu, Wenbing Huang, Shifeng Jin, Yang Liu, Hongming Weng, Xiaolong Chen

Get full text