Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…Abstract The purpose of this research is to formulate and present a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organizational elements. …”
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Construction of a mobile game for learning Libras - Guess teaching by João A. F. Furquim, Flávia B. Blum Haddad, Débora G. Ribeiro Dias

“…To collaborate with the inclusion of deaf people, this article addresses the construction of a game available on mobile platforms to assist in learning Brazilian Sign Language (Libras). The game proposes challenges and rewards through questions and answers and also presents Libras signs created by an avatar. …”
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An Inclusive review on deep learning techniques and their scope in handwriting recognition by Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma

“…This paper presents a survey on the existing studies of deep learning in handwriting recognition field. …”
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An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots by Yong Song, Yibin Li, Xiaoli Wang, Xin Ma, Jiuhong Ruan

“…A sequential Q-learning based on knowledge sharing is presented. The rule repository of robots behaviors is firstly initialized in the process of reinforcement learning. …”
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QUALIFICATION DATA AS A BASIS FOR TEACHER TRAINING DISTANCE LEARNING by Natalia V. Nikulicheva

“…At present, the professional status of the teacher of distance education as well as his professional requirements and characteristics is not officially presented in Russian pedagogics: either his functions, or requirements to knowledge and requirements to qualification. …”
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Interactive Language Learning through Speech-Enabled Virtual Scenarios by Hazel Morton, Nancie Gunson, Mervyn Jack

“…Within the speech interactive Computer-Assisted Language Learning (CALL) program, scenarios are presented in which learners interact with virtual characters in the target language using speech recognition technology. …”
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Automatic quantification of disgust reactions in mice using machine learning by Shizuki Inaba, Naofumi Uesaka, Daisuke H. Tanaka

“…The automated tracking data were split into test and training data, and the latter were combined with manually labeled data on whether a disgust reaction was present and, if so, which type of disgust reaction was present. …”
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Combating trade in illegal wood and forest products with machine learning. by Debanjan Datta, John C Simeone, Amelia Meadows, Willow Outhwaite, Hin Keong Chen, Nathan Self, Linda Walker, Naren Ramakrishnan

“…Owing to the volume, velocity, and complexity of shipment data, an automated decision support system is required for the purposes of detecting suspicious forest product shipments. We present a proof of concept framework using machine learning and big data approaches-combining domain expertise with automation-to achieve this objective. …”
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LEARNING COMMUNICATION AND INTERFACE IN COMPUTER-BASED EDUCATION SYSTEMS AND ENVIRONMENTS by Sergey F. Sergeev, Anastasia S. Sergeeva

“…In present article we discuss theoretical and practical aspects of learning communication, as well as practical questions of learning systems human interfaces problem. …”
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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

“…Correlation analysis of student engagement features showed a statistically significant but weak negative correlation between the number of courses, early morning logins, assignments, and top students’ performance. SED is expected to present new opportunities for researchers in the learning analytics domain.…”
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Enhancing heart disease prediction with reinforcement learning and data augmentation by Gayathri R, Sangeetha S．K．B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar MB, Saurav Mallik, Hong Qin

“…The study presents a novel method to improve the prediction accuracy of cardiac disease by combining data augmentation techniques with reinforcement learning. …”
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E-learning course for creating descriptions of information about occupations by Ewelina Sikora

“…The article presents an e-learning course designed for creating descriptions of information about occupations. …”
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Desire to learn qualitative methods among researchers in healthcare fields by Warren Bareiss

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Moodle tools for teaching foreign languages at distance learning department by Oksana O. Kandrashkina, Elena V. Revina

“…The Page tool was chosen to present the material for practical classes, which ensures the availability and clarity of educational material provided. …”
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Learning History Through Wonder. Three Approaches To Teaching In The Classroom by Santiago de Navascués

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Deep learning classification of lipid droplets in quantitative phase images. by Luke Sheneman, Gregory Stephanopoulos, Andreas E Vasdekis

“…We report the application of supervised machine learning to the automated classification of lipid droplets in label-free, quantitative-phase images. …”
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A survey on key technologies of privacy protection for machine learning by Zishan LIU, Qiang CHENG, Bo LV

“…With the development of information and communication technology,large-scale data collection has vastly promoted the application of machine learning in various fields.However,the data involved in machine learning often contains a lot of personal private information,which makes privacy protection face new risks and challenges,and has attracted more and more attention.The current progress of the related laws,regulations and standards to the personal privacy protection and data safety in machine learning were summarized.The existing work on privacy protection for machine learning was presented in detail.Privacy protection algorithms usually have influence on the data quality,model performance and communication cost.Thus,the performance of the privacy protection algorithms should be comprehensively evaluated in multiple dimensions.The performance evaluation metrics for the privacy protection algorithms for machine learning were presented,given with the conclusion that the privacy preservation on machine learning needs to balance the data quality,model convergence rate and communication cost.…”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

“…The methodology for creating a machine learning model includes defining the goals and objectives of the model, selecting an appropriate learning algorithm (in this case, neural networks), collecting and preparing a data set, tuning the model, and testing on a test data set. …”
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Conditional differential analysis on the KATAN ciphers based on deep learning by Dongdong Lin, Manman Li, Zezhou Hou, Shaozhen Chen

“…The attack of the 82‐round KATAN48 and 70‐round KATAN64 are also presented as the best known practical results.…”
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The Golden Thread: Rethinking Learning Outcomes in Early Childhood Education by Judith Duncan, Sandra Eaton, Sarah Te One

“…Early childhood education has come under increasing pressure to describe, record and present evidence of the benefits for learning. We argue that it is time to understand children’s and families’ lived experiences in new, complex, and meaningful ways. …”
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