To account the transition state of the system during probabilistic calculations reservation own needs of NPP by R. Z. Aminov, V. E. Yurin, M. A. Murtazov

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Modeling the transition from coal to SMRs in Colombia: emissions avoidance under deterministic and probabilistic frameworks by Camilo Prieto Valderrama, Camilo Prieto Valderrama, Diego Patiño

“…The deterministic model estimates a total of 82.62 MtCO₂eq of avoided emissions, while the probabilistic approach yields a median value of 76.04 MtCO₂eq with a standard deviation of 6.58 MtCO₂eq. …”
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On the Application of Probabilistic Route Choice Models to Urban Rail Transit Networks Containing Small-Scale OD Trip Data by Wei Zhu, Changyue Xu, Amr M. Wahaballa, Wenbo Fan, Seham Hemdan

“…This paper proposes a framework for validating the PRC model on its application to urban rail transit (URT) networks containing small-scale OD trip data. …”
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Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems by Jozsef Lakner, Gabor Lakner

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Crude Oil Resources Under Climate Stringent Scenarios: Production Under Contract and Probabilistic Analyses of Exploratory Frontiers by Silvia Pantoja, Pedro R. R. Rochedo, Alexandre Szklo

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Impact of policy adjustments on low carbon transition strategies in construction using evolutionary game theory by Song Wang, Dongliang Zhu, Jiachen Wang

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Task switching with probabilistic reward schemes by Markus Janczyk, Ludwig Danwitz, Kerstin Fröber, Bettina von Helversen

“…Previous research has shown that transitions in reward prospect influence (voluntary) task switching behavior. …”
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Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning by Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet

“…Multi‐Layer Perceptron and Stacking Classifier models show sharp vertical transitions between the low and high sand probability while other machine learning models show gradual transitions. …”
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Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis by Shun-fu JIN, Shi-ying GE, Zhan-qiang HUO

“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis by Shun-fu JIN, Shi-ying GE, Zhan-qiang HUO

“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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Probabilistic Lane Segmentation Using a Low–Dimensional Linear Parametrization by Acuña Carlos, Arechavaleta Gustavo, Castelán Mario

“…Furthermore, the proposed approach is compared with a fully connected pretrained CNN model for lane detection, demonstrating that the proposed method has a lower computational cost in addition to a smoother transition between lane estimates.…”
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Modeling Navigator Awareness of COLREGs Interpretation Using Probabilistic Curve Fitting by Deuk-Jin Park, Hong-Tae Kim, Sang-A Park, Tae-Yeon Kim, Jeong-Bin Yim

“…This study models navigator awareness as a probabilistic function of encounter angle, aiming to identify interpretive transition zones and cognitive uncertainty in rule application. …”
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Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model by Ziyu Tao, Lingshan He, Desi Tu, Chao Zou

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Probabilistic Routing Based on Two-Hop Information in Delay/Disruption Tolerant Networks by Xu Wang, Rongxi He, Bin Lin, Ying Wang

“…We investigate an opportunistic routing protocol in delay/disruption tolerant networks (DTNs) where the end-to-end path between source and destination nodes may not exist for most of the time. Probabilistic routing protocol using history of encounters and transitivity (PRoPHET) is an efficient history-based routing protocol specifically proposed for DTNs, which only utilizes the delivery predictability of one-hop neighbors to make a decision for message forwarding. …”
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Probabilistic Evaluation of Grouting Reinforcement on Settlement Control Effectiveness in Shield Tunneling Construction by LAN Mulin, SHEN Mengfen, HE Su, XU Quan, CHEN Zhehui, BAO Lichun

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Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. by Felipe J Colón-González, Leonardo Soares Bastos, Barbara Hofmann, Alison Hopkin, Quillon Harpham, Tom Crocker, Rosanna Amato, Iacopo Ferrario, Francesca Moschini, Samuel James, Sajni Malde, Eleanor Ainscoe, Vu Sinh Nam, Dang Quang Tan, Nguyen Duc Khoa, Mark Harrison, Gina Tsarouchi, Darren Lumbroso, Oliver J Brady, Rachel Lowe

“…A superensemble of these models then makes probabilistic predictions of dengue incidence at various future time points aligned with key Vietnamese decision and planning deadlines. …”
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Transitional Grid Maps: Joint Modeling of Static and Dynamic Occupancy by Jose Manuel Gaspar Sanchez, Leonard Bruns, Jana Tumova, Patric Jensfelt, Martin Torngren

“…Based on those, we derive Transitional Grid Maps (TGMs), an efficient analytical solution. …”
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Probabilistic Fracture Analysis and Discussion of Reactor Pressure Vessel in Domestic Pressurized Water Reactor by ZENG Xin1, TAN Jianping1, REN Qianyi1, LIU Changjun1, , FENG Churan2, DENG Wei2, MA Chao2

“…A similar trend is observed for changes in the initial reference nil-ductility transition temperature, indicating that both the warm pre-stress effect and a lower reference initial nil-ductility transition temperature can effectively reduce the failure risk of the RPV. …”

Probabilistic Approach for Best Estimate of Fuel Rod Fracture During Loss-of-Coolant Accident by Hiroki Tanaka, Takafumi Narukawa, Takashi Takata

“…The proposed methodology enables a transition from conservative binary evaluations to more realistic probabilistic assessments of core damage, providing more accurate risk insights for decision-making.…”
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences by Toshitake Asabuki, Tomoki Fukai

“…The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. …”
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