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Journal articles on the topic 'Random Encounter Model'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Yin, Zhang-Cai, Hui Liu, Zhi-Jun Zhang, Zhang-Hao-Nan Jin, San-Juan Li, and Jia-Qiang Xiao. "Probabilistic Model of Random Encounter in Obstacle Space." ISPRS International Journal of Geo-Information 8, no. 1 (2019): 32. http://dx.doi.org/10.3390/ijgi8010032.

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Based on probabilistic time-geography, the encounter between two moving objects is random. The quantitative analysis of the probability of encounter needs to consider the actual geographical environment. The existing encounter probability algorithm is based on homogeneous space, ignoring the wide range of obstacles and their impact on encounter events. Based on this, this paper introduces obstacle factors, proposes encounter events that are constrained by obstacles, and constructs a model of the probability of encounters of moving objects based on the influence of obstacles on visual perceptio

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2

Kiefer, Dale A., and Juli Berwald. "A random encounter model for the microbial planktonic community." Limnology and Oceanography 37, no. 3 (1992): 457–67. http://dx.doi.org/10.4319/lo.1992.37.3.0457.

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3

Swartzman, Gordon. "Fish school formation and maintenance: a random encounter model." Ecological Modelling 56 (January 1991): 63–80. http://dx.doi.org/10.1016/0304-3800(91)90193-5.

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Yin, Zhang-Cai, Zhang-Hao-Nan Jin, Shen Ying, Hui Liu, San-Juan Li, and Jia-Qiang Xiao. "Distance-Decay Effect in Probabilistic Time Geography for Random Encounter." ISPRS International Journal of Geo-Information 8, no. 4 (2019): 177. http://dx.doi.org/10.3390/ijgi8040177.

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Probabilistic time geography uses a fixed distance threshold for the definition of the encounter events of moving objects. However, because of the distance-decay effect, different distances within the fixed threshold ensure that the encounter events do not always have the same possibility, and, therefore, the quantitative probabilistic time geography analysis needs to consider the actual distance-decay coefficient (DDC). Thus, this paper introduces the DDC and proposes a new encounter probability measure model that takes into account the distance-decay effect. Given two positions of a pair of

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Garland, Laura, Eric Neilson, Tal Avgar, Erin Bayne, and Stan Boutin. "Random Encounter and Staying Time Model Testing with Human Volunteers." Journal of Wildlife Management 84, no. 6 (2020): 1179–84. http://dx.doi.org/10.1002/jwmg.21879.

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6

SI, XIAMENG, YUN LIU, and ZHENJIANG ZHANG. "OPINION DYNAMICS IN POPULATIONS WITH IMPLICIT COMMUNITY STRUCTURE." International Journal of Modern Physics C 20, no. 12 (2009): 2013–26. http://dx.doi.org/10.1142/s0129183109014898.

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Web encounter facilitate contacts between people from different communities outside space and time. Implicit Community Structure is exhibited because of highly connected links within community and sparse encounters between communities. Considering the imperceptible influence of encounter on opinions, Sznajd updating rules are used to mimic people's behaviors after encountering a stranger in another community. We introduce a model for opinion evolution, in which the interconnectivity between different communities is represented as encounter frequency, and leadership is introduced to control the

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Eshel, Ilan, and Daphna Weinshall. "Cooperation in a repeated game with random payment function." Journal of Applied Probability 25, no. 3 (1988): 478–91. http://dx.doi.org/10.2307/3213977.

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A model of cooperation versus defection in a sequence of games is analysed under the assumptions that the rules of the game are randomly changed from one encounter to another, that the decisions are to be made each time anew, according to the (random) rules of the specific local game, and that the result of one such game affects the ability of a player to participate and thus, cooperate in the next game. Under plausible assumptions, it is shown that all Nash solutions of the supergame determine cooperation over a non-degenerate range of rules, determining encounters of the prisoner's dilemma t

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Eshel, Ilan, and Daphna Weinshall. "Cooperation in a repeated game with random payment function." Journal of Applied Probability 25, no. 03 (1988): 478–91. http://dx.doi.org/10.1017/s0021900200041206.

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A model of cooperation versus defection in a sequence of games is analysed under the assumptions that the rules of the game are randomly changed from one encounter to another, that the decisions are to be made each time anew, according to the (random) rules of the specific local game, and that the result of one such game affects the ability of a player to participate and thus, cooperate in the next game. Under plausible assumptions, it is shown that all Nash solutions of the supergame determine cooperation over a non-degenerate range of rules, determining encounters of the prisoner's dilemma t

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Jousimo, Jussi, and Otso Ovaskainen. "A Spatio-Temporally Explicit Random Encounter Model for Large-Scale Population Surveys." PLOS ONE 11, no. 9 (2016): e0162447. http://dx.doi.org/10.1371/journal.pone.0162447.

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10

Miura, Kensuke, Tomoki Mori, Haruna Ogawa, et al. "Density estimations of the Asiatic black bear: application of the random encounter model." Journal of Natural History 56, no. 21-24 (2022): 1123–38. https://doi.org/10.1080/00222933.2022.2070441.

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Miura, Kensuke, Mori, Tomoki, Ogawa, Haruna, Umano, Shota, Kato, Haruki, Izumiyama, Shigeyuki, Niizuma, Yasuaki (2022): Density estimations of the Asiatic black bear: application of the random encounter model. Journal of Natural History 56 (21-24): 1123-1138, DOI: 10.1080/00222933.2022.2070441, URL: http://dx.doi.org/10.1080/00222933.2022.2070441

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Bressloff, Paul C. "Encounter-based model of a run-and-tumble particle." Journal of Statistical Mechanics: Theory and Experiment 2022, no. 11 (2022): 113206. http://dx.doi.org/10.1088/1742-5468/aca0ed.

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Abstract In this paper we extend the encounter-based model of diffusion-mediated surface absorption to the case of an unbiased run-and-tumble particle (RTP) confined to a finite interval [0, L] and switching between two constant velocity states ±v at a rate α. The encounter-based formalism is motivated by the observation that various surface-based reactions are better modeled in terms of a reactivity that is a function of the amount of time that a particle spends in a neighborhood of an absorbing surface, which is specified by a functional known as the boundary local time. The effects of surfa

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Miura, Kensuke, Tomoki Mori, Haruna Ogawa, et al. "Density estimations of the Asiatic black bear: application of the random encounter model." Journal of Natural History 56, no. 21-24 (2022): 1123–38. http://dx.doi.org/10.1080/00222933.2022.2070441.

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Oshman, Y., J. Shinar, and S. Avrashi Weizman. "Using a Multiple-Model Adaptive Estimator in a Random Evasion Missile/Aircraft Encounter." Journal of Guidance, Control, and Dynamics 24, no. 6 (2001): 1176–86. http://dx.doi.org/10.2514/2.4833.

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Moorcroft, Elizabeth, Tim C. D. Lucas, Robin Freeman, Marcus J. Rowcliffe, and Kate E. Jones. "A generalized random encounter model for estimating animal density with remote sensor data." Journal of the Acoustical Society of America 136, no. 4 (2014): 2276. http://dx.doi.org/10.1121/1.4900223.

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Lucas, Tim C. D., Elizabeth A. Moorcroft, Robin Freeman, J. Marcus Rowcliffe, and Kate E. Jones. "A generalised random encounter model for estimating animal density with remote sensor data." Methods in Ecology and Evolution 6, no. 5 (2015): 500–509. http://dx.doi.org/10.1111/2041-210x.12346.

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Oshman, Y., J. Shinar, and S. A. Weizman. "Using a multiple-model adaptive estimator in a random evasion missile/aircraft encounter." Journal of Guidance, Control, and Dynamics 24, no. 6 (2001): 1176–86. http://dx.doi.org/10.2514/3.22614.

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Sims, David W., Matthew J. Witt, Anthony J. Richardson, Emily J. Southall, and Julian D. Metcalfe. "Encounter success of free-ranging marine predator movements across a dynamic prey landscape." Proceedings of the Royal Society B: Biological Sciences 273, no. 1591 (2006): 1195–201. http://dx.doi.org/10.1098/rspb.2005.3444.

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Movements of wide-ranging top predators can now be studied effectively using satellite and archival telemetry. However, the motivations underlying movements remain difficult to determine because trajectories are seldom related to key biological gradients, such as changing prey distributions. Here, we use a dynamic prey landscape of zooplankton biomass in the north-east Atlantic Ocean to examine active habitat selection in the plankton-feeding basking shark Cetorhinus maximus . The relative success of shark searches across this landscape was examined by comparing prey biomass encountered by sha

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Murphy, Sean M., Benjamin S. Nolan, Felicia C. Chen, et al. "Most Random-Encounter-Model Density Estimates in Camera-Based Predator–Prey Studies Are Unreliable." Animals 14, no. 23 (2024): 3361. http://dx.doi.org/10.3390/ani14233361.

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Identifying population-level relationships between predators and their prey is often predicated on having reliable population estimates. Camera-trapping is effective for surveying terrestrial wildlife, but many species lack individually unique natural markings that are required for most abundance and density estimation methods. Analytical approaches have been developed for producing population estimates from camera-trap surveys of unmarked wildlife; however, most unmarked approaches have strict assumptions that can be cryptically violated by survey design characteristics, practitioner choice o

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Schaus, Jessica, Antonio Uzal, Louise K. Gentle, et al. "Application of the Random Encounter Model in citizen science projects to monitor animal densities." Remote Sensing in Ecology and Conservation 6, no. 4 (2020): 514–28. http://dx.doi.org/10.1002/rse2.153.

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Gul, Ahtasham, Muhammad Mohsin, and Zahra Almaspoor. "A New Family of Distributions to Encounter the Extrapolating Issues." Mathematical Problems in Engineering 2023 (February 14, 2023): 1–12. http://dx.doi.org/10.1155/2023/9397398.

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Traditionally, infinite models have been fitted on finite datasets which extrapolate the data, resulting in inadequate model fitting and predictions. To overcome this problem, we develop a new family of truncated distributions by introducing a new generator. In this article, a truncated random variable X t r “the transformer or input” is exerted to transform another random variable T “transformed or generator,” which yields a new T − X t r family of distributions. Several characteristics of T − X t r family of distributions are provided which are equally useful in engineering and biological sc

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Byers, John A. "An encounter rate model of bark beetle populations searching at random for susceptible host trees." Ecological Modelling 91, no. 1-3 (1996): 57–66. http://dx.doi.org/10.1016/0304-3800(95)00166-2.

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Cusack, Jeremy J., Alexandra Swanson, Tim Coulson, et al. "Applying a random encounter model to estimate lion density from camera traps in Serengeti National Park, Tanzania." Journal of Wildlife Management 79, no. 6 (2015): 1014–21. http://dx.doi.org/10.1002/jwmg.902.

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23

Magnússon, K. G., and T. Aspelund. "A model for estimating meal frequency and meal size from stomach data with an application to Atlantic cod (Gadus morhua) feeding on capelin (Mallotus villosus)." Canadian Journal of Fisheries and Aquatic Sciences 54, no. 4 (1997): 876–89. http://dx.doi.org/10.1139/f96-341.

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The feeding of a predator on prey that occurs in schools is modelled as a stochastic process involving two random variables: (i) the number of schools that the predator finds per unit time and (ii) the number of prey items captured in each encounter. The number of encounters is governed by a Poisson process and the number of prey items can be either a Poisson random variable or more generally a negative binomial. The principal parameters in the model can be interpreted as the average meal frequency and the average meal size. This model is applied to Atlantic cod (Gadus morhua) feeding on capel

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Sakamoto, Takafumi, Akihito Sudo, and Yugo Takeuchi. "Investigation of Model for Initial Phase of Communication." ACM Transactions on Human-Robot Interaction 10, no. 2 (2021): 1–27. http://dx.doi.org/10.1145/3439719.

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We propose an agent model that determines its behavior from an internal state and a spatial relationship with a target to generate approaching and avoiding behaviors in encounter scenes. This model is based on the relationship with an opponent rather than with a scenario. The agent moves to increase the utility value obtained from the preferences for both aggressive and passive involvement. We analyzed the behavioral and utterance data of human–human interactions based only on two-dimensional position information by simple-shaped robots. The rate of participants’ behavior following the model w

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Yang, Yating, and Muhammad Zahid Iqbal. "Cost-Optimised Machine Learning Model Comparison for Predictive Maintenance." Electronics 14, no. 12 (2025): 2497. https://doi.org/10.3390/electronics14122497.

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Predictive maintenance is essential for reducing industrial downtime and costs, yet real-world datasets frequently encounter class imbalance and require cost-sensitive evaluation due to costly misclassification errors. This study utilises the SCANIA Component X dataset to advance predictive maintenance through machine learning, employing seven supervised algorithms, Support Vector Machine, Random Forest, Decision Tree, K-Nearest Neighbours, Multi-Layer Perceptron, XGBoost, and LightGBM, trained on time-series features extracted via a sliding window approach. A bespoke cost-sensitive metric, al

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Balestrieri, Alessandro, Aritz Ruiz-González, Maria Vergara, et al. "Pine marten density in lowland riparian woods: A test of the Random Encounter Model based on genetic data." Mammalian Biology 81, no. 5 (2016): 439–46. http://dx.doi.org/10.1016/j.mambio.2016.05.005.

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27

Singh, Swati. "Positive Service Encounter: A Tool for Customer Loyalty in Retail." Journal of Business Theory and Practice 1, no. 2 (2013): 244. http://dx.doi.org/10.22158/jbtp.v1n2p244.

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<p><em>Customers’ perception of service depends on service encounter. The purpose of this paper is to build and test a model of relationship between service quality, customer satisfaction and loyalty in a retail context. It also aims at understanding different factors that effect service quality. The subject is approached by a cross-sectional survey on a random sample of 230 customers after their service encounter with store employees in retail outlets. Structural Equation Modeling is used to test the model developed during the study.</em><em> </em><em>The f

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Berec, Michal, Vlastimil Krivan, and Ludek Berec. "Are great tits (Parus major) really optimal foragers?" Canadian Journal of Zoology 81, no. 5 (2003): 780–88. http://dx.doi.org/10.1139/z03-057.

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In this study, we test the classical prey model of optimal-foraging theory with great tits (Parus major) feeding on two types of mealworms presented on a conveyor belt. Contrary to the results of some previous experiments, prey types were given to birds in random order, therefore birds could not predict their next prey item. We tested birds' diet choices at four different prey-encounter rates. Our results show that in 95% of cases great tits consumed the more profitable prey type upon encounter. On the other hand, consumption of the less profitable prey type did not differ statistically from t

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LORENZ, JAN, and DIEMO URBIG. "ABOUT THE POWER TO ENFORCE AND PREVENT CONSENSUS BY MANIPULATING COMMUNICATION RULES." Advances in Complex Systems 10, no. 02 (2007): 251–69. http://dx.doi.org/10.1142/s0219525907000982.

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We explore the possibilities of enforcing and preventing consensus in continuous opinion dynamics that result from modifications in the communication rules. We refer to the model of Weisbuch and Deffuant, where n agents adjust their continuous opinions as a result of random pairwise encounters whenever their opinions differ not more than a given bound of confidence ε. A high ε leads to consensus, while a lower ε leads to a fragmentation into several opinion clusters. We drop the random encounter assumption and ask: How small may ε be such that consensus is still possible with a certain communi

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Manghi, Lorenzo, and Urs Rutishauser. "Monitoring der Huftierdichten mit Modellen und Fotofallen." Schweizerische Zeitschrift fur Forstwesen 173, no. 4 (2022): 192–95. http://dx.doi.org/10.3188/szf.2022.0192.

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Im Rahmen der Wald- und Holzforschungsförderung Schweiz (WHFF-CH) wurden zwei neuen Methoden zur Schätzung der Huftierdichten untersucht: das Random Encounter Model (REM) und das Distance Sampling mit Fotofallen (FDS). Beide Methoden wurden in fünf Untersuchungsgebieten des Schweizer Mittellandes und des Juras erfolgreich getestet und liefern bemerkenswert konsistente Ergebnisse in Bezug auf Dichte, Präzision der Ergebnisse und Arbeitsaufwand. Das Forschungsprojekt beleuchtet auch konkrete Anwendungsmöglichkeiten in Wald-Wildtier-Monitoringprogrammen.

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Passekov, V. P. "Description of Divergence of Subpopulations in the Hierarchical System under the Analysis of Isonymy. II. Probabilities of Non-Isonymic Encounters." Генетика 59, no. 11 (2023): 1326–40. http://dx.doi.org/10.31857/s0016675823110097.

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Metapopulations with typical for human populations hierarchical subdivision into parts (subpopulations) are considered, corresponding to classifications based on administrative-territorial division (say, village, village council, district, region, and so on) or on a genealogical approach based on ethnogenesis, as well as on other principles of biological classification. The purpose of this work is to analyze the general properties of the distribution of the surname concentration over subpopulations in their hierarchical structure. Attention is focused on the description of the surname divergen

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Zhao, Hui, and Liqin Cheng. "Ant Colony Algorithm and Simulation for Robust Airport Gate Assignment." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/804310.

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Airport gate assignment is core task for airport ground operations. Due to the fact that the departure and arrival time of flights may be influenced by many random factors, the airport gate assignment scheme may encounter gate conflict and many other problems. This paper aims at finding a robust solution for airport gate assignment problem. A mixed integer model is proposed to formulate the problem, and colony algorithm is designed to solve this model. Simulation result shows that, in consideration of robustness, the ability of antidisturbance for airport gate assignment scheme has much improv

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Martin, Jacob A., Andrew Crane-Droesch, Folasade C. Lapite, et al. "Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians’ encounter notes." Journal of the American Medical Informatics Association 29, no. 1 (2021): 109–19. http://dx.doi.org/10.1093/jamia/ocab248.

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Abstract Objective Frailty is a prevalent risk factor for adverse outcomes among patients with chronic lung disease. However, identifying frail patients who may benefit from interventions is challenging using standard data sources. We therefore sought to identify phrases in clinical notes in the electronic health record (EHR) that describe actionable frailty syndromes. Materials and Methods We used an active learning strategy to select notes from the EHR and annotated each sentence for 4 actionable aspects of frailty: respiratory impairment, musculoskeletal problems, fall risk, and nutritional

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Bressloff, Paul C. "Encounter-based model of a run-and-tumble particle II: absorption at sticky boundaries." Journal of Statistical Mechanics: Theory and Experiment 2023, no. 4 (2023): 043208. http://dx.doi.org/10.1088/1742-5468/accce2.

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Abstract In this paper we develop an encounter-based model of a run-and-tumble particle (RTP) confined to a finite interval [ 0 , L ] with partially absorbing, sticky boundaries at both ends. We assume that the particle switches between two constant velocity states ±v at a rate α. Whenever the particle hits a boundary, it becomes stuck by pushing on the boundary until either a tumble event reverses the swimming direction or it is permanently absorbed. We formulate the absorption process by identifying the first passage time (FPT) for absorption with the event that the time A(t) spent attached

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Chan, Shiu Fai, Bradley R. Barnes, and Kyoko Fukukawa. "Consumer control, dependency and satisfaction with online service." Asia Pacific Journal of Marketing and Logistics 28, no. 4 (2016): 594–615. http://dx.doi.org/10.1108/apjml-09-2015-0134.

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Purpose The purpose of this paper is to develop and test a new conceptual model in an online service context. The model focuses on an important, yet often neglected customer-oriented construct, i.e., user “control”, which is embedded in consumer behaviour when accessing the internet. The study examines the relationship between control, online dependency, online encounter satisfaction and overall satisfaction. It explains the strategic implications surrounding customer control and online dependency as means for enhancing customer satisfaction. Design/methodology/approach A questionnaire was dev

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Ahmad, Faizan, Tomoki Mori, Muhammad Rehan, Luciano Bosso, and Muhammad Kabir. "Applying a Random Encounter Model to Estimate the Asiatic Black Bear (Ursus thibetanus) Density from Camera Traps in the Hindu Raj Mountains, Pakistan." Biology 13, no. 5 (2024): 341. http://dx.doi.org/10.3390/biology13050341.

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Estimating the population density of vulnerable species, such as the elusive and nocturnal Asiatic black bear (Ursus thibetanus), is essential for wildlife conservation and management. We used camera traps and a Random Encounter Model (REM) to estimate the population density of U. thibetanus during the autumn and winter seasons in the Hindu Raj Mountains. We installed 23 camera traps from October to December 2020 and acquired 66 independent pictures of Asiatic black bears over 428 nights of capture. Our results showed that the bears preferred lowland areas with the presence of Quercus spp. We

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Ma, Zhixin, Shengmin Cui, and Inwhee Joe. "An Enhanced Proximal Policy Optimization-Based Reinforcement Learning Method with Random Forest for Hyperparameter Optimization." Applied Sciences 12, no. 14 (2022): 7006. http://dx.doi.org/10.3390/app12147006.

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For most machine learning and deep learning models, the selection of hyperparameters has a significant impact on the performance of the model. Therefore, deep learning and data analysis experts have to spend a lot of time on hyperparameter tuning when building a model for accomplishing a task. Although there are many algorithms used to solve hyperparameter optimization (HPO), these methods require the results of the actual trials at each epoch to help perform the search. To reduce the number of trials, model-based reinforcement learning adopts multilayer perceptron (MLP) to capture the relatio

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Xie, Kai, Yuxuan Gao, Yadang Chen, and Xun Che. "Mask Mixup Model: Enhanced Contrastive Learning for Few-Shot Learning." Applied Sciences 14, no. 14 (2024): 6063. http://dx.doi.org/10.3390/app14146063.

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Few-shot image classification aims to improve the performance of traditional image classification when faced with limited data. Its main challenge lies in effectively utilizing sparse sample label data to accurately predict the true feature distribution. Recent approaches have employed data augmentation techniques like random Mask or mixture interpolation to enhance the diversity and generalization of labeled samples. However, these methods still encounter several issues: (1) random Mask can lead to complete blockage or exposure of foreground, causing loss of crucial sample information; and (2

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Salman, Marwan Abdulrazzaq, and Mahmud R. Ismail. "Effect of Random Vibration of Rotor Supports with Nano Additives Lubricants." Tikrit Journal of Engineering Sciences 32, no. 2 (2025): 1–15. https://doi.org/10.25130/tjes.32.2.23.

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Rotors in various industries often encounter diverse vibrations from their supports, posing potential dangers to system integrity. The present study focuses on the effects of arbitrary stimulation brought on by random vibrations caused by supports, which necessitate statistical methods for evaluation due to their non-deterministic nature. Through white noise excitation, static ergodic random vibrations were simulated, employing mathematical modeling to derive the transfer function equation of the rotor. The investigation extended to examining the impact of copper oxide (CuO) nanoparticles in S

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Han, Yewon, Jaeho Kim, Hon Keung Tony Ng, and Seong W. Kim. "Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis." Entropy 24, no. 8 (2022): 1138. http://dx.doi.org/10.3390/e24081138.

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There has been a considerable amount of literature on binomial regression models that utilize well-known link functions, such as logistic, probit, and complementary log-log functions. The conventional binomial model is focused only on a single parameter representing one probability of success. However, we often encounter data for which two different success probabilities are of interest simultaneously. For instance, there are several offensive measures in baseball to predict the future performance of batters. Under these circumstances, it would be meaningful to consider more than one success p

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Chiu, Yuan-Shyi Peter, Jia-Ning Lin, Yunsen Wang, and Hung-Yi Chen. "Collective impact of scrap, random breakdown, overtime and discontinuous issuing on batch production planning in a supply-chain environment." Uncertain Supply Chain Management 10, no. 1 (2022): 181–96. http://dx.doi.org/10.5267/j.uscm.2021.9.009.

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This research explores the collective impact of overtime, random breakdown, discontinuous issuing rule, and scrap on batch production planning in a supply-chain environment. In today’s global business environment, manufacturing firms encounter numerous operational challenges. Externally, they must promptly satisfy the customers’ various requests, while internally, they must cautiously manage several inevitable issues in the fabrication process. These issues might be concerned with scrap, random breakdown, etc. Resolving such issues is crucial for meeting the due dates of customers’ orders, adh

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Smith, Valerie A., Brian Neelon, John S. Preisser, and Matthew L. Maciejewski. "A marginalized two-part model for longitudinal semicontinuous data." Statistical Methods in Medical Research 26, no. 4 (2015): 1949–68. http://dx.doi.org/10.1177/0962280215592908.

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In health services research, it is common to encounter semicontinuous data, characterized by a point mass at zero followed by a right-skewed continuous distribution with positive support. Examples include health expenditures, in which the zeros represent a subpopulation of patients who do not use health services, while the continuous distribution describes the level of expenditures among health services users. Longitudinal semicontinuous data are typically analyzed using two-part random-effect mixtures with one component that models the probability of health services use, and a second componen

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Kulkarni,, Purva. "Machine Learning Approaches For Phishing Detection: A Comparative Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31178.

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In this study, the effectiveness of four machine learning models in detecting phishing websites is evaluated. Utilizing a diverse dataset, the analysis reveals that Random Forest emerges as the top performer, achieving a test accuracy of 91.49%. Notably, Random Forest exhibits robustness in distinguishing between legitimate websites and malicious ones. While Decision Tree, K-Nearest Neighbors, and Naive Bayes also demonstrate promise, they encounter difficulties in accurately classifying phishing URLs, especially within certain categories. The findings underscore the pivotal role of machine le

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Ditia Yosmita Praptiwi, Anang Kurnia, Anwar Fitrianto, and Fitrah Ernawati. "Random Forest and CatBoost with Handling Imbalanced Class for Detection of Risk Factors Anemia in Children (5-12 Years)." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (2024): 302–12. http://dx.doi.org/10.32628/ijsrset24113134.

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The prevalence of anemia in children (5-12 years) remains a public health issue in Indonesia. Early detection and control of risk factors are crucial for prevention. Machine learning models can be employed to address this problem. One practical approach is using ensemble learning models. However, it is expected to encounter imbalanced class problems when analyzing health data. Therefore, this study aims to perform classification modeling using two ensemble learning models: Random Forest (RF) and CatBoost. The proposed methods for handling imbalanced class issues include Random Over Sampling, S

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Parikh, Ravi Bharat, Chris Manz, Corey Chivers, et al. "Derivation and implementation of a machine learning approach to prompt serious illness conversations among outpatients with cancer." Journal of Clinical Oncology 37, no. 31_suppl (2019): 131. http://dx.doi.org/10.1200/jco.2019.37.31_suppl.131.

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131 Background: Machine learning (ML) algorithms can accurately identify patients with cancer at risk of short-term mortality and facilitate timely conversations about treatment and end-of-life preferences. We developed, validated, and implemented a ML algorithm to predict mortality in a general oncology setting, using electronic health record (EHR) data prior to a clinic visit. Methods: Our cohort consisted of patients aged ≥18 years who had an encounter in outpatient oncology practices within a large academic health system between February 1st and July 1st, 2016. We randomly split the sample

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Yang, Hojin, Jongmin Lee, and Donghyuk Lee. "An effect of the misspecified technical inefficiency on the maximum likelihood estimation of the stochastic frontier model." Korean Data Analysis Society 25, no. 5 (2023): 1759–71. http://dx.doi.org/10.37727/jkdas.2023.25.5.1759.

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The stochastic frontier model is a widely used econometric method for assessing production efficiency concerning the maximum achievable output given a specific input, where the difference between the maximum and actual production is referred to as technical inefficiency. Statistically, the stochastic frontier model adjusts a standard regression model with normally distributed errors by introducing a non-negative random variable to account for technical inefficiency. By computing the probability density of the composed error, which defined by subtracting the non-negative random variable from th

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Tola, Mideksa, Denekew Bitew Belay, Melkamu A. Zeru, and Senait Cherie Adegeh. "Joint Modeling of Exam Results and Attrition Status of Students at Hawassa College of Education, Ethiopia." Education Research International 2022 (March 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/8919604.

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Student attrition is a challenge for higher education institutions across the world. The purpose of this study was to examine the application of joint model using students’ commutative grade point average and attrition status. A total of 258 college student samples were used in this study. A mixed effect model for students’ grade point average and a Cox hazard model for students’ attrition status were modeled independently, and both submodels were modeled jointly by linking random effects through a shared parameter model. This study focused on gender issues, academic background, peer support,

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Youssef, Ahmed Hassen, Engy Saeed Mohamed, and Shereen Hamdy Abdel Latif. "Handling multi-collinearity using principal component analysis with the panel data model." EUREKA: Physics and Engineering, no. 1 (January 19, 2023): 177–88. http://dx.doi.org/10.21303/2461-4262.2023.002582.

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When designing a statistical model, applied researchers strive to make the model consistent, unbiased, and efficient. Labor productivity is an important economic indicator that is closely linked to economic growth, competitiveness, and living standards within an economy. This paper proposes the one-way error component panel data model for labor productivity. One of the problems that we can encounter in panel data is the problem of multi-collinearity. Therefore, multi-collinearity problem is considered. This problem has been detected. After that, the principal component technique is used to get

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Youssef, Ahmed Hassen, Engy Saeed Mohamed, and Latif Shereen Hamdy Abdel. "Handling multi-collinearity using principal component analysis with the panel data model." EUREKA: Physics and Engineering, no. 1 (January 19, 2023): 177–88. https://doi.org/10.21303/2461-4262.2023.002582.

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When designing a statistical model, applied researchers strive to make the model consistent, unbiased, and efficient. Labor productivity is an important economic indicator that is closely linked to economic growth, competitiveness, and living standards within an economy. This paper proposes the one-way error component panel data model for labor productivity. One of the problems that we can encounter in panel data is the problem of multi-collinearity. Therefore, multi-collinearity problem is considered. This problem has been detected. After that, the principal component technique is used to get

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Bravington, Mark V., David L. Miller, and Sharon L. Hedley. "Variance Propagation for Density Surface Models." Journal of Agricultural, Biological and Environmental Statistics 26, no. 2 (2021): 306–23. http://dx.doi.org/10.1007/s13253-021-00438-2.

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AbstractSpatially explicit estimates of population density, together with appropriate estimates of uncertainty, are required in many management contexts. Density surface models (DSMs) are a two-stage approach for estimating spatially varying density from distance sampling data. First, detection probabilities—perhaps depending on covariates—are estimated based on details of individual encounters; next, local densities are estimated using a GAM, by fitting local encounter rates to location and/or spatially varying covariates while allowing for the estimated detectabilities. One criticism of DSMs

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