SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…Traditional supervised FDD methods offer great performance while heavily relying on large volumes of labeled data, whereas unsupervised methods do not depend on labeled data, though are inferior in performance compared to supervised ones. …”
Get full text

Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties by Inna Pustokhina, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, S. M. Alizadeh

“…It is worth to mention this point that the kernel function Squared Exponential shows a great performance for IV and PP and kernel functions Exponential and Matern indicate appropriate efficiency for CP and KV properties, respectively. …”
Get full text

Barium Sulfate Scale Removal at Low-Temperature by Hany Gamal, Saad Al-Afnan, Salaheldin Elkatatny, Mohamed Bahgat

“…The new solution has a great performance compared with common scale dissolvers in the oil field as hydrochloric acid, ethylenediaminetetraacetic acid, and diethylenetriamine pentaacetic acid. …”
Get full text

Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil by Kennedy C. Onyelowe, Fazal E. Jalal, Michael E. Onyia, Ifeanyichukwu C. Onuoha, George U. Alaneme

“…The responses validation on the predicted models shows a good correlation above 0.9 and a great performance index. The predicted models’ performance has shown that GEP soft computing has predicted models that can be used in the design of CBR, UCS, and R value for soils being used as foundation materials and being treated with admixtures as a binding component.…”
Get full text

Synthesis and Properties of a Polymer-Modified Material for Thin Spray-On Liners in Mine Roadways by Lianjun Chen, Xuekai Jiang, Zhaoxia Liu, Xiangfei Cui, Guoming Liu, Zhi Zhou, Qizheng Dong

“…In addition, TSL exhibited a great performance for dry and wet walls under different environmental conditions. …”
Get full text

Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

“…Our experiments show that DoubleMax CNN has a great performance in classifying sentiment in the student’s reviews with the best Accuracy value of 98%, Recall 97%, Precision 98% and F1-Score value of 98%. …”
Get full text