Blockchain arbitration: roadmap to recognition and enforcement of arbitral award by Danrivanto Budhijanto, Prita Amalia, Naufal Ahmad Shiddiq

“…Its awards meet typical criteria: they arise from an agreement to arbitrate, are issued by a neutral decision-maker in a quasi-judicial role intended to deliver final, binding resolution. …”
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A Method to Handle the Missing Values in Multi-Criteria Sorting Problems Based on Dominance Rough Sets by Ahmet Topal, Nilgun Guler Bayazit, Yasemen Ucan

“…The handling of missing attribute values remains a challenging and problematic issue in data analysis. Imputation techniques are key procedures used to deal with missing attribute values. …”
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Civil Aircraft Landing Attitude Ultra-Limit Warning System Based on mRMR-LSTM by Fei Lu, Tong Jing, Chunsheng Xie, Haonan Chen

“…The system can effectively issue early warnings for ultra-limit landing attitude events and, based on the prediction results, identify the types of risks.…”
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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

“…The experimental findings reveal impressive classification accuracies of 97.93% and 98.99% on the KFall and SisFall datasets, respectively.…”
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Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization by Guoqing Geng, Peining Wang, Liqin Sun, Han Wen

“…Identifying such anomalies currently relies on post-trajectory analysis with subjective parameter thresholds. To address this issue, we propose an unsupervised real-time localization anomaly detection model based on the isolation forest algorithm. …”
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Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches by Ilaria Basile, Giovanna Sannino

“…The prediction problem was initially approached as a multi-series regression issue and then re-evaluated as a problem of accurate classification into seven glycemic ranges. …”
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Integration of AI in Self-Powered IoT Sensor Systems by Cosmina-Mihaela Rosca, Adrian Stancu

“…The study addresses the issue of the lack of a standardized classification of IoT domains and the uneven distribution of AI integration in these domains. …”
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The role of electronic media in the region in updating cultural codes and forming a complex of identities of the population (the case of Maikop television) by A. M. Siyukhova

“…The issue of preserving cultural codes in ethnic communities in the era of globalization is relevant. …”
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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

“…The performance outcome emphasizes the model’s efficacy and accurate prediction and classification of heart disease.…”
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Validation of a deep learning model for cattle lameness detection: Comparison of human scorer performance and automated gait analysis by Sandra Reitmaier, Serhan Narli

“…Lameness is a common health and welfare issue in dairy cattle, with significant economic consequences due to reduced productivity. …”
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Enhancing multivariate post‐processed visibility predictions utilizing Copernicus Atmosphere Monitoring Service forecasts by Mária Lakatos, Sándor Baran

“…Recent studies demonstrated that the application of classification algorithms can successfully improve the skill of such discrete forecasts; however, a frequently emerging issue is that certain spatial and/or temporal dependencies could be lost between marginals. …”
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Cross-Condition Fault Diagnosis of Planetary Gearboxes Driven by Data-Model Fusion Based on Improved Domain-Adversarial Transfer Learning by Long Chen, Guojin Feng, Dong Zhen, Hongxiang Jing, Xiaoxia Liang, Fengshou Gu

“…To address the aforementioned issue, this paper proposes an improved domain-adversarial neural network (DANN) model that integrates mechanism and data fusion for cross-condition fault diagnosis of planetary gear systems. …”
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Assesment of Power Quality Disturbances For Grid Integration of PV Power Plants by Gökay Bayrak, Alper Yılmaz

“…Power Quality problems, which have become animportant consumer issue in recent years, are defined as changes in voltage,current, or frequency in the power system. …”
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THE ROLE OF CYBERHATE AS A COMPONENT OF CYBERBULLYING IN THE SYSTEM OF STAFF DEVELOPMENT IN PUBLIC SERVICE by Mykola Atanasov

“…The introductory part emphasizes that the issue of cyberhate is a complex combination of misused, mediated and unregulated freedom of speech. …”
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Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam by Tuan Vu Dinh, Nhat-Duc Hoang, Xuan-Linh Tran

“…This subsampling process was repeatedly carried out by 30 rounds to eliminate the issue of randomness in data selection. Classification accuracy rate (CAR) and area under receiver operating characteristic (AUC) were used to evaluate performance of the five models. …”
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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…AI algorithms offer a solution to this issue by enabling fast and accurate data analysis. …”
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On the Convective Environments, Modes, and Warning Verifications of Tornado‐ and Flash Flood‐Warned Storms in the Southeast United States by Daniel Burow, Kelsey Kressler, Zoe Searcy

“…The goal of these classifications was to use information about each storm's meteorological environment to identify (1) its mode and (2) whether the hazard warning(s) issued by the National Weather Service verified, or whether the warning was a “false alarm.” …”
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Antithesis as a structuraland semantic organization principle of a Kabardian-Circassian proverb by Dina M. Kumykova, Elina T. Kumykova (Cuchapsheva)

“…The classification of the phenomena is proposed as based on the structural and functional characteristics of this stylistic figure. …”
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Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry by Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz

“…This study addresses this issue by utilizing actual shipment data from an automotive company. …”
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Features of the functioning of past tense verbs in «Notes of a Young Doctor» by M.A. Bulgakov (based on the story «Egyptian Darkness») by I.V. Vasilyeva, A.A. Matigorova

“…At the present stage of understanding the verb tense category, the issue of its functioning in the text occupies a special place, but this topic has not yet been fully explored. …”
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