Organization of Distance Learning in School, College, University by N. V. Nikulicheva, O. I. Dyakova, O. S. Glukhovskaya

“…The new learning environment has different capabilities and requires the lecturer to plan differently, present information, and organize monitoring and record results.The results of the study allowed us to identify general trends in the organization of DL at all levels of education and specific problems typical for particular levels. The main issue in organization DL at school was the creation of the learning environment (technical support, Internet, organization of DL pedagogical system) as well as methodological support of DL process (training lecturers in DL methodology). …”
Get full text

CONSTRUCTION AND APPLICATION OF THE LACUNA’S TRANSLATION MODEL IN MODERN LINGUISTICS by Li Yanxue

“…The lacunarity phenomenon, which is a linguistic and cultural occurrence when two languages are compared, has grown into a significant issue that translators must resolve. Therefore, the urgency of this research has changed to how to eliminate cultural conflict and fill up lexical lacunas. …”
Get full text

Automatic Real-Time Detection and Diagnosis of Liver Tumor with Ultrasound by Wu CH, Sheu JC, Chou PL, Lee J, Nien HC

Get full text

Intellectual Capital and its Role in Assessing the Sustainability of an Economic Entity by V. G. Kogdenko, M. V. Melnik

“…The article considers the issues of structuring, accounting, analysing and monitoring the changes in intellectual capital (IC). …”
Get full text

Mapping Ecosystem Functional Groups in the Republic of Korea Based on the IUCN Global Ecosystem Typology by Kyungil Lee, Haedam Baek, Chul-Hyun Choi, Sang-Hak Han, Seonyoung Park

“…By incorporating locally relevant ecological data, the original typology was refined to resolve issues of overgeneralization and spatial overlap. …”
Get full text

KOMPUTER JAKO NARZĘDZIE PRZESTĘPSTWA by Maria Szczepaniec

“… The Computer as the Tool of the Crime Summary The article presented the classification of computer crimes on the basis of Polish criminal law and some issues concerning computer crime. …”
Get full text

Task Scheduling in Cloud Environment–Techniques, Applications, and Tools: A Systematic Literature Review by Olanrewaju L. Abraham, Md Asri Bin Ngadi, Johan Bin Mohamad Sharif, Mohd Kufaisal Mohd Sidik

“…Ineffective scheduling leads to issues such as resource imbalance (either overuse or underuse) resulting in service degradation or resource wastage. …”
Get full text

Primary peritonitis at children by K. K. Fyodorov

“…The bibliographic reference-book includes 123 sources issued mainly for the last 15 years.…”
Get full text

Method of troubleshooting in the neural network environment of intellectual decision supporting systems by О.І. Тимочко, С.В. Осієвський, О.О. Тімочко, П.В. Бєляєв

“…A formalized definition of the error of the neural network intelligent system is proposed, taking into account the requirements for efficiency and accuracy of information presentation. The issues of the influence of incorrect organization of machine learning on the accuracy of classification of elements of the neural network intellectual system are considered. …”
Get full text

Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

“…Manually characterising these individual spoil piles presents challenges due to issues of accessibility, safety risks, and time consumption. …”
Get full text

Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…In areas like computer vision, data augmentation has been widely used and highly effective in addressing similar issues. However, these techniques are not as commonly explored or applied in the time series domain. …”
Get full text

Enhancing Urban Parking Efficiency Through Machine Learning Model Integration by Sai Sneha Channamallu, Sharareh Kermanshachi, Jay Michael Rosenberger, Apurva Pamidimukkala

“…This study aims to tackle these issues that escalate congestion and pollution and decrease urban productivity, by utilizing machine learning models to accurately predict parking space availability and categorize occupancy levels. …”
Get full text

Discourse Markers in Works of Russian Linguists: Functional-Pragmatic and Functional-Semantic Approaches by A. V. Kuleshova, T. V. Slastnikova

“…This article addresses the issue of discourse markers as illuminated by the works of Russian scholars. …”
Get full text

Urban heat typologies: impact of heatwaves on urban built environment and heat stress risk to the elderly in Darmstadt, Germany by Avikal Somvanshi, Joachim Schulze, Shahrzad Talebsafa

“…Rather than applying a generic Local Climate Zones classification, the built environment has been assessed by clustering the city of Darmstadt based on the UrbanReNet catalogue—a more contextual and nuanced urban typologies-based classification developed specifically for German cities. …”
Get full text

A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

“…Abstract Alzheimer’s Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. …”
Get full text

Bag of Feature-Based Ensemble Subspace KNN Classifier in Muscle Ultrasound Diagnosis of Diabetic Peripheral Neuropathy by Kadhim K. Al-Barazanchi, Ali H. Al-Timemy, Zahid M. Kadhim

“…The result indicates that ensemble subspace KNN classification, based on the bag of features, achieved an accuracy of 97.23%. …”
Get full text

Real-Time Multi-Vehicle Scheduling in Tasks With Dependency Relationships Using Multi-Agent Reinforcement Learning by Shupei Zhang, Huapeng Shi, Wei Zhang, Ying Pang, Pengju Sun

“…Firstly, this study introduces a classification model of task relationships through the binary assumption model of geographical areas and vehicles. …”
Get full text

Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…The model achieved an accuracy of 98% and an F1 score of 96% for binary classification on the SKAB dataset and a multiclass classification accuracy of 92% with an F1 score of 85% on the TEP dataset. …”
Get full text

Problems of Theory and Practice of Investigative Experiment by O. V. Chelysheva

“…The necessity of formulating the definition of the concept of an investi­gative experiment through the concept of «experience» is substantiated. In addition, the issues of classifi­cation of investigative experiments, which are based on the intended purpose of the investigative action, are considered. …”
Get full text

Detection and diagnosis of air compressor faults using weightless neural networks by Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan

“…Additionally, fine-tuning of hyperparameters was done to enhance classification accuracy while simultaneously reducing computational time. …”
Get full text