Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

“…Implementasi Machine Learning untuk deteksi cyberbullying dapat dilakukan dengan berbagai algoritma, seperti algoritma probabilistik (Naïve Bayes) maupun supervised learning (Support Vector Machine, k-Nearest Neighbour, Decission Tree), dan metode lainnya yang hingga saat ini terus dikembangkan dengan berbagai pendekatan untuk meningkatkan akurasi deteksi cyberbullying atau non-cyberbullying. …”
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The association between preoperative anemia and postoperative mortality among non-cardiac surgical patients in Northwest Ethiopia: a prospective cohort study by Misganew Terefe Molla, Amanuel Sisay Endeshaw, Gebrehiwot Asfaw, Fantahun Tarekegn Kumie

“…The propensity score-matching results reveal that one-to-one nearest neighbour propensity score matching without replacement was successful for 1351 pairs of surgical patients. …”
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Investigating the Effect of Prompt Treatment on Malaria Prevalence in Children Aged below Five Years in Zambia: A Nested Case-Control Study in a Cross-Sectional Survey by Mukumbuta Nawa

“…Self-reported malaria cases (n = 209) who took treatment in the two weeks preceding the survey were matched with controls (n = 511) who did not report malaria and did not take treatment during the same period using nearest neighbour propensity score matching for age, sex, and district. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…The combination of DenseNet-201 features with k-nearest neighbour (IBK) classifier produced the overall classification accuracy of 100.00% among all other pretrained network features and classifiers considered.…”
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A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

“…Prediction algorithms namely, Logistic Regression (LR), K-Nearest Neighbour (KNN), and Random Forest (RF) are used for forecasting. …”
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Nitric Oxide - Its Importance in Swallowing, Inflammatory Bowel Disease and Cirrhotic Cardiomyopathy by ABR Thomson

“…The central pattern generated for swallowing and esophageal peristalsis is suggested to be a serial network of linked neurons within the nucleus of the solitary tract and neighbouring reticular formation, and there is likely one subnetwork for the oropharyngeal phase and the other for the esophageal phase of swallowing. …”
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Migration typology of the world’s coastal exclaves by Anna V. Lialina, Angelina P. Plotnikova

“…To this end, exclaves are compared using indicators of population migration, its role in population change, transport connectivity with the parent and neighbouring states and the natural and socio-economic conditions of regional development from 2017 to 2022. …”
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L’Union européenne : un champion en trompe l’œil de l’aide publique au développement by Yann Richard

“…Last, the geographical distribution of the European assistance is not really consistent with the official political agenda of the EU strongly oriented towards the issue of the development of the neighbouring countries. This lack of coherence is revealed by the opposite evolutions of the aids disbursed in the neighbourhood by the Commission and the EU members. …”
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Nacionalita a konfese v politickém životě jagellonských Čech by Petr Vorel

“…In regard to the perception of nationality, the temporary Bohemian establishment started to feel a threat to national interest from Germany (Holy Roman Empire, the Reich), despite the notion of a nation as a significant state-forming element is, at the same time, being determined in neighbouring Germany within the empire reform under Maximilian I. …”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

“…This paper has been designed to evaluate the performance of Probabilistic Neural Networks (PNN), K-Nearest Neighbour (KNN), Support Vector Machines (SVM), Naïve Bayes (NB) and Logistic Regression (LR) as individual and ensemble classifiers. …”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

“…Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbour (KNN), and Naive Bayes are some of the machine learning methods used in the study to find out how dynamically vulnerable affected districts are to flooding in different compound scenarios. …”
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Silences and Vulnerabilities by Suruchi Thapar-Björkert, Marion Stevens, Åsa Eriksson, Johanna Gondouin

“…Referred to as the ‘Swedish model’, or the ‘Nordic model’ after neighbouring countries followed suit, this legal framework is built on an understanding of ‘prostitution’ as exploitation and a form of violence against women. …”
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Who is Responsible for Instability in the Democratic Republic of Congo? by G. M. Sidorova

“…The impediment is unsettled relations with neighbouring countries - Rwanda, Uganda and Burundi which for tens of years exploit illegally natural resources of the DRC and try to lay hold of frontier Congolese territories.…”
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RISKS OF PAYMENT SYSTEMS IN THE CONTEXT OF RUSSIA'S MILITARY AGGRESSION AGAINST UKRAINE AND INTERNATIONAL SANCTIONS AGAINST RUSSIA by Mădălina RĂDOI, Mihaela ENE

“…A lot of Ukrainians took refuge in neighbouring countries, generating a humanitarian and political crisis. …”
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Human–elephant conflict in expanding Asian elephant range in east-central India: implications for conservation and management by Lakshminarayanan Natarajan, Parag Nigam, Bivash Pandav

“…Chhattisgarh, India, harbours a metapopulation of 250–300 Asian elephants Elephas maximus that has expanded its range from neighbouring states since 2000. Elephants in the state occur across a mosaic of forests interspersed with agricultural settlements, leading to frequent interactions with people, some of which culminate in conflict. …”
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Experimental evidence of flexural phonons in low-temperature heat capacity of carbon nanotubes by M.S. Barabashko, A.I. Krivchikov, A. Jeżowski, O. Bezkrovnyi, M.I. Bagatskii, V.V. Sumarokov, V. Boiko, D. Szewczyk

“…These results show that the heat capacity of the nanotube system increases if the interaction forces between neighbouring SWCNTs in the bundle or between the walls inside of MWCNTs decrease. …”
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Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria by Olalekan J. Taiwo, Joshua O. Akinyemi, Ayodeji Adebayo, Oluwafemi A. Popoola, Rufus O. Akinyemi, Onoja M. Akpa, Paul Olowoyo, Akinkunmi P. Okekunle, Ezinne O. Uvere, Omotolani Titilayo Ajala, Chukwuemeka Nwimo, Olayinka J. Adebajo, Adewale E. Ayodele, Ayodeji Salami, Oyedunni S. Arulogun, Olanrewaju Olaniyan, Richard W. Walker, Carolyn Jenkins, Bruce Ovbiagele, Mayowa Owolabi

“…Spatial patterns were analyzed using the Nearest Neighbour Statistic, Ripley K Function, and Kernel Density Estimation, while Binomial logistic regression identified predictors. …”
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An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo by Nikolaos Nagkoulis, Christos Adam, Ioannis Mamoutos, Stelios Katsanevakis, Antonios D. Mazaris

“…This approach involved converting current centroids into points and projecting current directions and magnitudes onto a nearest-neighbour graph connecting these points. Using open-source data from the Copernicus Black Sea Physics Reanalysis dataset from 1993 to 2023, a high-resolution dataset of graph objects (edge lists) and shapefiles (points and edges) for the Black Sea has been created. …”
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Investigation of the Atomic Structure of Ge-Sb-Se Chalcogenide Glasses by M. Fabian, N. Dulgheru, K. Antonova, A. Szekeres, M. Gartner

“…Neutron and X-ray diffraction techniques were used to study the atomic glassy structure, and Reverse Monte Carlo (RMC) simulations were applied to model the 3-dimensional atomic configurations and thorough mapping of the atomic parameters, such as first and second neighbour distances, coordination numbers, and bond-angle distributions. …”
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Caminate axe and Chiaruccia di Fano (PU) settlement between Middle Bronze Age 3 and Recent Bronze Age 1. Matched review in relation to interactions between north-eastern Italy and... by Gaia Pignocchi, Elisa Dalla Longa, Giovanni Tasca

“…The study of Caminate axe has indeed offered the occasion to consider its possible relation with the neighbouring settlement of Chiaruccia di Fano. The pottery production of this site, in particular the handles (“a maniglia” handles with expanded horned appendixes, superelevated “a manubrio” handles with vertical expansion and rostrum handles), show clear markers of interactions with north-eastern Italy, from Emilia Romagna to Veneto and Friuli: the same territory where also the references proposed for the axe (within Peschiera production horizon) point. …”
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