Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics by Poongodi, M., Vijayakumar, V., Al-Turjman, Fadi, Hamdi, Mounir, Ma, Maode

“…Frequency and entropy are the metrics used to measure the vulnerability of the attack. The stochastic model based reCAPTCHA controller is used as a prevention mechanism for the large botnet based attackers. …”
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Robust Kernel Density Function Estimation by Dadkhah, Kourosh

“…The statement of Chandola et al. (2009) that the normal (clean) data appear in high probability area of stochastic model, while the outliers appear in low probability area of stochastic model, has motivated us to develop RDWF. …”
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A general mathematical framework for the analysis of spatiotemporal point processes by Ovaskainen, Otso, Finkelshtein, Dmitri, Kutoviy, Oleksandr, Cornell, Stephen, Bolker, Benjamin, Kondratiev, Yuri, Kutovyi, Oleksandr

“…Spatial and stochastic models are often straightforward to simulate but difficult to analyze mathematically. …”
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Hidden messages: mapping nations’ media campaigns by Erhardt, Keeley, Pentland, Alex

“…In this paper, we use a discrete-time stochastic model to analyze coordinated activity in an online social network, representing the behaviors of accounts as interacting Markov chains. …”
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Stochastic relationships for periodic responses in randomly heterogeneous aquifers by McLaughlin, Dennis, Trefry, M. G., Lester, D. R., Metcalfe, G., Johnston, C. D., Ord, A.

“…Spatial correlative relationships are derived for several stochastic models incorporating up to three spatial dimensions. …”
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Verification of Linear Duration Properties over Continuous Time Markov Chains by Chen, T, Diciolla, M, Kwiatkowska, M, Mereacre, A, ACM

“…Stochastic modeling and algorithmic verification techniques have been proved useful in analyzing and detecting unusual trends in performance and energy usage of systems such as power management controllers and wireless sensor devices. …”

Cell fate reprogramming using transcription factor feedback overexpression by Kumar, Nithin Senthur

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Options on shipbuilding contracts by Høegh, Morten W. (Morten Westyne), 1973-

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Rateless Coding for Gaussian Channels by Erez, Uri, Trott, Mitchell D., Wornell, Gregory W.

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Moment-linear stochastic systems and their applications by Roy, Sandip, 1978-

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High performance and provably safe polling-systems-based control algorithms of all-autonomous intersections by Miculescu, David

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Parallel agent-based demographic simulation by Malhotra, Rahul

“…Traditionally, demographic simulators have focused on representing populations as aggregations sharing similar characteristics, while using stochastic models to simulate changes in their numbers. …”
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Insights into the evolution and emergence of a novel infectious disease by Kubiak, R, Arinaminpathy, N, McLean, A

“…We compare our analytical results with a stochastic model, which has previously been studied computationally. …”

Insights into the evolution and emergence of a novel infectious disease. by Kubiak, R, Arinaminpathy, N, Mclean, A

“…We compare our analytical results with a stochastic model, which has previously been studied computationally. …”

A theoretical investigation of the effect of proliferation and adhesion on monoclonal conversion in the colonic crypt. by Mirams, G, Fletcher, A, Maini, P, Byrne, H

“…By comparing simulation results with those from a simple one-dimensional stochastic model of population dynamics at the base of the crypt, we infer that this sensitivity is due to direct competition between wild-type and mutant cells at the base of the crypt. …”

A mass action model of a fibroblast growth factor signaling pathway and its simplification by Gaffney, E, Heath, J, Kwiatkowska, M

“…Both the full and simplified models reproduce the qualitative dynamics observed experimentally and in previous stochastic models. The simplified model also elucidates both the qualitative features of GRB2 binding and the complex relationship between SHP2 levels, the rate SHP2 induces dephosphorylation and levels of bound GRB2. …”

Challenges in modeling and predicting floods and droughts: A review by Brunner, M, Slater, L, Tallaksen, L, Clark, M

“…We discuss potential ways of tackling these challenges including exploiting new data sources, studying droughts and floods in a joint framework, studying societal influences and compounding drivers, developing continuous stochastic models or non-stationary models, and obtaining stakeholder feedback. …”

A mass action model of a Fibroblast Growth Factor signaling pathway and its simplification. by Gaffney, E, Heath, J, Kwiatkowska, M

“…Both the full and simplified models reproduce the qualitative dynamics observed experimentally and in previous stochastic models. The simplified model also elucidates both the qualitative features of GRB2 binding and the complex relationship between SHP2 levels, the rate SHP2 induces dephosphorylation and levels of bound GRB2. …”

Grain boundary engineering for crack bridging: A new model for intergranular stress corrosion crack (IGSCC) propagation by Engelberg, D, Marrow, T, Newman, R, Babouta, L

“…This chapter introduces a new intergranular stress corrosion crack (IGSCC) propagation model based on grain bridging by crack resistant, low energy grain boundary, (GB), and their related triple junction density (TJD). A stochastic model considers the frequency of immune GBs with respect to the microstructural probability of arresting a crack at a TJ. …”

Comparison and validation of two mathematical models for the impact of mass drug administration on Ascaris lumbricoides and hookworm infection. by Coffeng, L, Truscott, J, Farrell, S, Turner, H, Sarkar, R, Kang, G, de Vlas, S, Anderson, R

“…The second model is an individual-based stochastic model. Baseline data acquired prior to treatment are used to estimate key transmission parameters, and forward projections are made, given the known MDA population coverage. …”