Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis by Ganglong Duan, Yutong Du, Yanying Shang, Hongquan Xue, Ruochen Zhang

“…Short-time traffic flow exhibits uncertainty and randomness, and this paper proposes an SVR model for short-time traffic flow prediction on non-main and branch roads, using correlations between associated roads to improve accuracy. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…This research proposes a novel feature fusion-based model that incorporates two parallel tracks for efficient feature extraction. …”
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Real Time Fractional Robust Adaptive Scheme for Frequency Regulation in Double Area Hybrid Power System With Renewables by Ahmed Ragab, Dalia Allam, Ahmed F. Zobaa, Hazem Ali Attia

“…Control scheme of two main parts has been introduced. The first one is a novel fractional order model reference adaptive controller where fractional calculus merits and e-modification robust algorithm have been merged with the adaptive skills creating the fractional order model reference robust-adaptive controller. …”
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Reliable Process Tracking Under Incomplete Event Logs Using Timed Genetic-Inductive Process Mining by Yutika Amelia Effendi, Minsoo Kim

“…TGPM extends traditional Genetic Process Mining (GPM) by incorporating time-based analysis, while the IM is widely recognized for producing sound and precise process models. …”
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User‐side cloud energy storage configuration and operation optimization considering time‐of‐use pricing and state‐of‐charge management by Yongji Ma, Huifang Wang, Weiyi Yu, Fen Cao, Sisi Cheng, Anyuan Yang

“…This CES model incorporates adjustable time‐of‐use (TOU) electricity pricing and state‐of‐charge (SOC) management. …”
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Analysis of the Energy Efficiency of Different Methods of Adding Make-up Feed Water in the Steam Turbine Cycle CHPP by Shempelev A.G.

“…The results obtained differ from the known ones in that for the first time such studies were carried out on an extended mathematical model of a steam turbine unit.…”
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Real-time Power Flow Control Strategy for Electric Railway FTSSs Integrated with PVs and ESSs by Yinbo Ge, Haitao Hu, Junyu Chen, Ke Wang, Zhengyou He

“…Thus, this paper proposes a power flow control strategy for FTSSs. First, a real-time power flow optimization method is proposed to calculate the output power references of the back-to-back converter (BTBC) and ESS. …”
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Evaluating the efficiency of a parcel locker network: a case study of variable demand and storage duration in Pardubice city by Stefan Jovčić, Libor Bauer

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Estimating divergence time and ancestral effective population size of Bornean and Sumatran orangutan subspecies using a coalescent hidden Markov model. by Thomas Mailund, Julien Y Dutheil, Asger Hobolth, Gerton Lunter, Mikkel H Schierup

“…The model is efficient enough to allow inference on whole-genome data sets. …”
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Automatic Detection for Mining Subsidence Areas Using the CBAM-Enhanced VGG-UNet Model With Long Time Series InSAR Interferograms by Kegui Jiang, Keming Yang, Mengting Gao, Liuguo Zhu, Chuang Jiang

“…This enhancement improves the feature representation and perception capabilities of the model. Second, to address the scarcity of real InSAR data in the training set, an efficient dataset simulation strategy is established. …”
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Evaluation of the effect of DRG payment policy based on interrupted time series modeling: evidence from a tertiary hospital in Anhui Province by Guangju Mo, Erchang Zhu, Xinlei Fang, Jingbo Ma, Sijing Kong, Xuan Guo, Zheng Lu

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Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

“…In this article, we conduct an empirical evaluation and analysis study for most YOLO versions to assess their performance in smart transportation. To achieve this, we first measure the average precision of YOLO models across multiple datasets (i.e., COCO and PASCAL VOC). …”
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Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries by Seongik Han

“…Based on the OCP extracted from the simulations using these MOAs for the specified ECM model, a charging experiment was conducted on the Panasonic NCR18650PF LiB to evaluate the charging performance in terms of charging time, temperature, and efficiency. …”
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Presentating a multi-objective optimization model for resource-constrained project scheduling regarding financial costs, time delays and the reliability function by Saeideh Naderi, Mohsen Vaez-Ghasemi, Farzad Movahedi Sobhani

“…Hence, in order to mathematically model RCPSP, the first non-linear complex integer math programming was transformed into a linear programming model using the features of exponential functions. …”
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Predicting real-time traffic restoration time based on the estimated traffic state by Md Rakibul Islam, Zaheen E Muktadi Syed, Mohamed Abdel-Aty, Samiul Hasan

“…The contribution of this study is threefold: first, the study developed models to predict the traffic state after a crash; second, the study predicted the traffic restoration time based on the estimated post-crash traffic state; third, the study applied three-step validation techniques to evaluate the performance of the developed approach and compare it with crash clearance time. …”
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Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach by Mustafa Youldash, Atta Rahman, Manar Alsayed, Abrar Sebiany, Joury Alzayat, Noor Aljishi, Ghaida Alshammari, Mona Alqahtani

“…This study leverages AI technology, specifically deep learning, to achieve two primary objectives: binary classification to determine whether a patient has DR, and multi-class classification to identify the stage of DR accurately and in a timely manner. The proposed model utilizes six pre-trained convolutional neural networks (CNNs): EfficientNetB3, EfficientNetV2B1, RegNetX008, RegNetX080, RegNetY006, and RegNetY008. …”
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Introducing KeyRing self‐timed microarchitecture and timing‐driven design flow by Mickael Fiorentino, Claude Thibeault, Yvon Savaria

“…Abstract A self‐timed microarchitecture called KeyRing is presented, and a method for implementing KeyRing circuits compatible with a timing‐driven electronic design automation (EDA) flow is discussed. …”
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ON THE TECHNIQUE OF MODELING ONTOGENETIC CHANGES IN FISH AND INSECTS LIFECYCLE by A. Yu. Perevaryukha

“…The method has been for submission to decline of generations on the basis of dynamic overriding differential equations with discrete-continuous structure of time. To extend the previously proposed model for the formation of generations is formed computing structure for the account mortality depending on the level of competition, complete with trigger functional and a new scheme describing the changes the growth rate for the example of the Caspian Sea sturgeon in three ecological and physiological stages of development. …”
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Joint Modeling of Quasar Variability and Accretion Disk Reprocessing Using Latent Stochastic Differential Equations by Joshua Fagin, James Hung-Hsu Chan, Henry Best, Matthew O’Dowd, K. E. Saavik Ford, Matthew J. Graham, Ji Won Park, V. Ashley Villar

“…We demonstrate that our model outperforms a Gaussian process regression baseline and can infer accretion disk parameters and time delays between wave bands, even for out-of-distribution driving signals. …”
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Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province. by Shahram Gorgani, Maryam Hafezparast Mavaddat, Saadi Fathi

“…The Soil and Water Assessment Tool (SWAT) is a continuous-time, semi-distributed model with GIS connectivity. …”
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