What We Know about Student Families: A Sociological Analysis by K. A. Vilkova, I. A. Gruzdev, E. D. Shmeleva, E. A. Tarasova, S. V. Startsev

“…Analysis of the interviews revealed the main strategies for combining study and motherhood, including reorganization of daily routines, sabbaticals, and distance learning. The importance of support from partners and relatives was also noted. …”
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IMPROVING INTRUSION DETECTION USING TREE ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING by Vũ Văn Cảnh, Hoàng Tuấn Hảo, Nguyễn Văn Hoàn

“…Some studies using machine learning technology have been applied in intrusion detection. …”
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Investigation of Coal Preparation for Life Cycle by Using Building Information Modeling (BIM): A Case Study by Jian Chen, Da-Lin Guo, Xiao-Long Dong, Xiao-Bo Hou, Zhi-Feng Wang

“…In this paper, the kappa big data processing architecture is used to realize the integration and unification of stream data and batch data processing process. By using deep learning method and multimodal data fusion method, the multimodal data association fusion is realized, and Bentley software is adopted for verification and integration. …”
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Impact of the Aversive Effects of Drugs on Their Use and Abuse by Anthony L. Riley, Hayley N. Manke, Shihui Huang

“…In support of this position, the present review describes the aversive effects of drugs (assessed primarily in conditioned taste aversion learning), the fact that they occur concurrently with reward as assessed in combined taste aversion/place preference designs, the role of aversive effects in drug-taking (in balance with their rewarding effects), the dissociation of these affective properties in that they can be affected in different ways by the same manipulations, and the impact of various parametric, experiential, and subject factors on the aversive effects of drugs and the consequent impact of these factors on their use and abuse potential.…”
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Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) by Elma Dervić, Katharina Ledebur, Stefan Thurner, Peter Klimek

“…The dataset provides the possibility to researchers to create their own, tailor-made comorbidity networks from real patient data that can be used as a starting point in quantitative and machine learning methods. This data platform is intended to lead to deeper insights into a wide range of epidemiological, public health, and biomedical research questions.…”
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Directed Energy Deposition via Artificial Intelligence-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Aakrit Sharma Lamsal, Yashwanth Maddini, Abhishek Krishna Ravinuthala, Bhawana Choudhary, Anirudh Mishra, Deepesh Padala, Shashank M, Vedang Lahoti, Addisalem Adefris, Dhanalakshmi S

“…Moreover, artificial intelligence and machine learning implementation has increased for further applications and advancements. …”
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Data analysis-based framework for the design and assessment of chemical process plants: a case study in amine gas-treating systems by Rahul Gupta, Gladys Navas, Daniela Galatro

“…This work presents a process-integrity assessment framework to chemical process design that combines first principles, heuristics, vendor specifications, standards/codes, data analysis, and machine learning modelling, hypothesized as an efficient route for optimal process design. …”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

“…However, due to limitations in existing frameworks regarding model representations and learning algorithms, only a few studies have explored causal discovery on non-Euclidean data. …”
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Fault Diagnosis and Detection in Industrial Motor Network Environment Using Knowledge-Level Modelling Technique by Saud Altaf, Muhammad Waseem Soomro, Mirza Sajid Mehmood

“…This paper presents efficient supervised Artificial Neural Network (ANN) learning technique that is able to identify fault type when situation of diagnosis is uncertain. …”
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The effect of human resource development and leadership on employee performance with organizational commitment by Sabri Sabri, Sumardin Sumardin, Haji Mustaqim

“…Human resource development aims to increase employee knowledge in terms of knowledge and practice skills through education, training, non-training and learning tasks. Furthermore, employee performance is the quality of work results, quantity of work, attendance and teamwork ability. …”
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Promoting HOTS and critical thinking to English students of higher education through authentic assessment by Lilis Lisdawati, Amalul Umam

“…The result of this study showed that authentic assessment promotes English students’ critical thinking and HOTS through the activity where they were able to explore and reflect their comprehension to their situation and make a product related to their learning.…”
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A Video Browsing Tool for Content Management in Postproduction by Werner Bailer, Wolfgang Weiss, Gert Kienast, Georg Thallinger, Werner Haas

“…We analyze the correlation between the results of the different methods, whether different aspects can be evaluated independently with the survey, and if a learning effect can be measured with the different methods, and we also compare the full-featured desktop and the limited Web-based user interface. …”
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Control Method of Nanomaterial Numerical Control Electronic Processing Based on RBF Neural Network by Haiyan Wang, Fanwei Meng

“…The method proposed in this paper used the self-learning and self-adaptive ability of RBF neural network to adjust the parameters of CNC machining control and relied on its fast convergence speed and strong approximation ability to achieve better CNC machining control effect. …”
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The Engineering Pedagogy Evolution: The Foundation and Three Measurements by D. P. Danilaev, N. N. Malivanov

“…Engineering pedagogy’s goals revision and clarification lead to a multidimensional space for engineering thinking development, including training of engineering educators for a lifelong learning system. Based on the general foundations and laws of pedagogy, three measurements of engineering pedagogy enable to reveal its interdisciplinary strategy in different subject areas. …”
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Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products by Yi Xue

“…The artificial intelligence neural network method realizes the nonlinear relationship between the input and output of sample data through the self-learning ability of each neuron and has a certain nonlinear mapping ability in prediction, which plays a great role in the market demand prediction of many commercial products. …”
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LA RELATION ENSEIGNANT – ELÈVE / ETUDIANT DANS LE CADRE DU PROCESSUS INSTRUCTIF-ÉDUCATIF D’ÉDUCATION MUSICALE by Constantina BOGHICI

“…The principles of modern teaching promote a democratic relationship, of learning through cooperation, which motivates and captivates the pupil’s/student’s attention for study, getting him/her to discover by himself/herself patterns and methods of solving different musical problems. …”
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Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi

“…This paper proposes a novel hybrid machine learning model based on an artificial neural network (ANN) and the Marine Predators algorithm (MPA) for modeling monthly water levels of the Tigris River in Al-Kut, Iraq. …”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Traditional scale-based depression diagnosis methods often have problems of strong subjectivity and high misdiagnosis rate, so it is particularly important to develop automatic diagnostic tools based on objective indicators.MethodsThis study proposes a deep learning method that fuses multimodal data to automatically diagnose depression using facial video and audio data. …”
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Effective Processing of Radar Data for Bridge Damage Detection by Tomasz Owerko, Przemysław Kuras

“…In addition, the distribution of errors and the sensitivity of classifiers based on the DSF parameter and Cook’s distances leaving them will enable the automation of the classification process using machine learning. The proposed method is universal; in particular, it can be used for radar interferometry methods because it is resistant to potentially variable environmental conditions.…”
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Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

“…The matching accuracy and the speed of image retrieval are improved by an ensemble of machine learning algorithms for the similarity search.…”
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