Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment by Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal

“…In this study, a machine learning (ML) classification algorithm, k-nearest neighbour (kNN), is applied to the source profiles obtained from the United States Environmental Protection Agency’s (U.S. …”
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Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks by M. E. Migabo, T. O. Olwal, K. Djouani, A. M. Kurien

“…This article proposes a Cooperative and Adaptive Network Coding for GBR (CoAdNC-GBR) technique which considers the network density as dynamically defined by the average number of neighbouring nodes, to efficiently aggregate interest messages. …”
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Cooperative Localization of Multi-Agent Autonomous Aerial Vehicle (AAV) Networks in Intelligent Transportation Systems by S. Shahkar

“…The localization error correction takes place in the filter with reference to the AAV’s relative range from neighbouring vehicles, that is measured by onboard ranging devices. …”
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Fault Diagnosis of Bearings with Adjusted Vibration Spectrum Images by Mingquan Qiu, Wei Li, Zhencai Zhu, Fan Jiang, Gongbo Zhou

“…Two-dimensional principal component analysis (2DPCA) is used to reduce the dimension of images, and finally a nearest neighbour method is applied to classify the faults of bearings. …”
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POTENTIAL RISKS ASSOCIATED WITH MISMANAGEMENT OF HOSPITAL WASTEWATER IN TANZANIA by Shadrack Mwita Sabai

“…Thirty hospital cleaners, ten sewer attendants, thirty neighbouring community and ten hospital officials were interviewed to determine their level of awareness and measures taken to protect themselves against contaminating. …”
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Evaluation of flood determination with various methods: Case study of Ayamama Creek by Orkan Özcan

“…Based upon the nearest neighbour object-based classification, total of 1859 buildings were defined to be affected by a potential flood. …”
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Unidirectional MCM translocation away from ORC drives origin licensing by Agata Butryn, Julia F. Greiwe, Alessandro Costa

“…The Arginine Finger-variant of the neighbouring Mcm5 subunit stabilises DNA engagement by Mcm5 downstream of the Mcm2 binding site. …”
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High-rate quantum LDPC codes for long-range-connected neutral atom registers by Laura Pecorari, Sven Jandura, Gavin K. Brennen, Guido Pupillo

“…By means of circuit-level simulations, we find that these codes outperform surface codes in all respects when the two-qubit nearest neighbour gate error probability is below  ~ 0.1%. …”
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An Innovative Eigenvector-Based Method for Traffic Light Scheduling by Mohammad Amin Soltani-Sarvestani, Zohreh Azimifar, Alexander Wong, Ali Akbar Safavi

“…One strategy is a new traffic light scheduling system, which controls traffic light using local variables (waiting time and number of vehicle on links) but has a global impact on the traffic, using shared variables between neighbour intersections. The proposed traffic light scheduling system is designed based on eigenvector centrality of intersection relation matrix. …”
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Position Verification in Connected Vehicles for Cyber Resilience Using Geofencing and Fuzzy Logic by Maria Drolence Mwanje, Omprakash Kaiwartya, Abdallah Naser

“…Previous attempts to verify location information have used specific hardware, traffic parameters, and statistical model-based techniques dependent on neighbouring vehicles and roadside infrastructure and whose judgements can be influenced by untrustworthy entities. …”
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A Quantitative Analysis of Photovoltaic Modules Using Halved Cells by S. Guo, J. P. Singh, I. M. Peters, A. G. Aberle, T. M. Walsh

“…In a silicon wafer-based photovoltaic (PV) module, significant power is lost due to current transport through the ribbons interconnecting neighbour cells. Using halved cells in PV modules is an effective method to reduce the resistive power loss which has already been applied by some major PV manufacturers (Mitsubishi, BP Solar) in their commercial available PV modules. …”
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Analysis and Dynamic Prediction of Bus Dwell Time Under Rainfall Conditions by Baoyun SUN, Yaping YANG, Lei DONG, Honglin LU, Zimin WANG

“…Support vector machine, k-nearest neighbour and backpropagation (BP) prediction models were established, and the BP neural network model, having the best prediction effect, was optimised using a genetic algorithm (GA). …”
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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…This network is able to efficiently extract atomic and bonding feature information, while effectively learning the importance weights of all neighbouring nodes. Numerical experiments predicting the electronic structural properties of metal–organic frameworks show that the developed model achieves state-of-the-art performance. …”
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Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review by Kaelan Lockhart, Juan Sandino, Narmilan Amarasingam, Richard Hann, Barbara Bollard, Felipe Gonzalez

“…Despite the potential of established Machine-Learning (ML) classifiers such as Random Forest, K Nearest Neighbour, and Support Vector Machine, and gradient boosting in the semantic segmentation of UAV-captured images, there is a notable scarcity of research employing Deep Learning (DL) models in these extreme environments. …”
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Legal principles of international cooperation of the National Police of Ukraine with foreign law enforcement agencies by V. V. Pylyp

“…The central place in the system of law enforcement agencies of Ukraine is occupied by the National Police of Ukraine, which is entrusted with many functions, including effective international cooperation with the bodies and organisations of neighbouring States, partner countries and international organisations. …”
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How can brand equity for tourism destinations be used to preview tourists’ destination choice? An overview from the top of Tower of Babel by Francisco Dias, Lucília Cardoso

“…Besides presenting the preferred destination brands for Brazilian and Portuguese tourists, the results confirm a basic assumption supporting this research program related to the geographic polarization of the most valued destination brands: “dream destination brands” correspond to destinations located farther from respondents’ home-places, in other continents, requiring long-haul air travel, while “favourite destination brands” are predominantly destinations located nearer, in respondents’ own countries or neighbouring countries.…”
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National Unity Based on the Malay-Islamic State of Malaysia: Highlights of the Study by Muhamad Zuhaili Saiman

“…Malaysia is currently undergoing a particular process of social integration, which differs from the neighbouring country of Indonesia. In contrast, Indonesia is experiencing a process of assimilation characterized by the unification of races under a single identity. …”
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COVID-19 and the Medical Devices in India: Trade for a Resilient Health System by Ravinder Jha, Diwas Saun, Indrani Gupta

“…The public health care facilities should procure domestically manufactured medical devices and trade with neighbouring countries to reduce import concentration must be prioritised.…”
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Removal of copper (II) ions from aqueous solution using acid- and alkali-treated carbonized mangosteen peel as adsorbent by Anee Sweatha, Krishnan Soundarajan

“…The level of toxic heavy metals from the industrial effluents, seeping into neighbouring waterbodies and agricultural land, must be reduced. …”
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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

“…The proposed model is validated by comparing with other machine learning models like support vector machine, K-Nearest Neighbour and Naive Bayes classifier in terms of metrics like accuracy, f1-score, precision and recall. …”
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