A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method advances the state of the art through a novel polygon-based trajectory mapping algorithm and a systematic multi-source parameter extraction framework specifically designed for signal control optimization. …”
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THE ROLE OF DISPOSITION OF CONNECTING TISSUE IN THE RISE OF NONTRAUMATIC SUBARACHNOIDAL HEMORRHAGE IN YOUNG AGE by E. V. Petrova, T. F. Popova, I. A. Gribacheva, G. K. Taitubayeva

“…The obtained data can become a basis for developing an algorithm for screening physical examination of patients with an increased risk of aneurysmal hemorrhage.…”
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Feedforward–Feedback Fuzzy-PID Water Level Control using PLC and Node-RED IoT by Adhitya Sumardi Sunarya, Fitria Suryatini, Nuryanti Nuryanti, Abdur Rohman Harist M, Gailan Anaisabury

“…The results indicate that the combined control achieved a lower average steady-state error (0.67%) compared to feedback-only control (1.12%), faster recovery time (3 seconds vs. 6.3 seconds), and no overshoot. The integration of flow sensors as feedforward inputs enabled earlier detection and correction of disturbances before they impacted the water level. …”
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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…The method takes into account the viscous effect of the flow field and the complexity of wave motion, which applies to the seakeeping prediction of high-speed trimaran under different sea states. …”
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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…Travel-time prediction is a critical component of Intelligent Transportation Systems (ITS), offering vital information for tasks such as accident detection, congestion management, and traffic flow optimisation. …”
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Load Balancing and Alternative Path Selection in Self-Organized Networks: A Data Plane Approach by Gergely Sarkozi, Peter Voros

“…By detecting latency spikes indicative of congestion, switches autonomously select alternative paths to maintain optimal traffic flow. …”
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Study on rapid calculation and imaging simulation of aircraft infrared radiation characteristics by Huicheng Yang, Qingzhen Yang, Yongqiang Shi, Xubo Du, Xinyuan Liu

“…The method can achieve a calculation speed of four times per second for a single detection angle, meeting real-time processing requirements and providing valuable data for infrared target recognition algorithms.…”
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Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing by Jing Chen, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, Kedi Wang

“…In the transmission phase, we adopt the designed multi-path transmission mechanism to promote the efficient data flow across heterogeneous networks. In the computation phase, the proposed SACM algorithm, which is functionally decomposed and implemented as service chains within the proposed network architecture, dynamically processes the retrieved temperature fields to achieve precise hazard identification. …”
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Analytical quality by design aided RP-HPLC method for the estimation of sunset yellow in commercial food samples employing green ultrasound assisted extraction: Greenness, blueness... by Atyurmila Chakraborty, Kavitha Jayaseelan

“…The chromatographic parameters were optimized using rotatable central composite designs (rCCD) whereas the separation was performed on a Phenomenex column (C18, 250 mm × 4.6 mm, i.d 5 μm) using a mobile phase consisting of a 34.4:65.6 (v/v) mixture of ethanol and acetate buffer at flow rate of 1.1 ml/min with detection wavelength of 510 nm. …”
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Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo by Abigail S. McGovern, Pia Larsson, Volga Tarlac, Natasha Setiabakti, Leila Shabani Mashcool, Justin R. Hamilton, Niklas Boknäs, Juan Nunez-Iglesias

“…Our pipeline covers four steps: detection, tracking, estimation of tracking accuracy, and quantification of platelet metrics. …”
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Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…The dynamic routing algorithm optimizes the information transmission path between capsule units, adapting to spatial transformation changes and enhancing the model's ability to handle complex data spatial relationships. …”
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Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

“…Future work: Future improvements will focus on refining the air flow modelling and expanding the dataset to improve predictive performance in extreme conditions providing an efficient anomaly detection system based on the DT prediction.…”
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Polygraph and audio synchronization applied to apnea event analysis based on non-negative matrix factorization by Francisco David Gonzalez-Martinez, Juan De La Torre-Cruz, Julio Jose Carabias-Orti, Francisco Jesus Canadas-Quesada, Alejandro Antonio Salvador-Navarro, Jose Ranilla, Lyam Lamrini-H. Laarbi

“…The proposed method introduces an iterative time-alignment algorithm based on the cross-correlation between an estimated respiratory sound signal and the nasal flow signal from PG. …”
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Identification of Self-Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis by Andrey Dmitriev, Victor Dmitriev

“…An algorithm is proposed that allowed to detect of critical phases and critical conditions on Twitter, based on the analysis of retweets time series corresponding to the three debates of the 2016 United States Presidential Election, as the most popular debate in the history of America, collecting 84 million live views.…”
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Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Colleen Farrelly, MS, Matthew J. Budoff, MD, Bradley Erickson, MD, PhD, Jeremy D. Collins, MD, Michael J. Blaha, MD, Tim Leiner, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, Jennifer Rozenblit, PhD, Deepa Sarkar, PhD, Gunnar Carlsson, PhD

“…Plaque build-up in the coronary arteries can restrict blood flow or become unstable and contribute to cardiovascular events. …”
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Structure and Wiring Optimized TT/MT Double‐Helical Fiber Sensors: Fabrication and Applications in Human Motion Monitoring and Gesture Recognition by Ziwei Chen, Daoxiong Qian, Dandan Xie, Chunxia Gao, Jian Shi, Hideaki Morikawa, Chunhong Zhu

“…This unique single‐sided electrode structure also enabled applications such as water flow sensing. The sensor into a smart glove capable of real‐time is further integrated, five‐channel finger motion detection, and used a convolutional neural network (CNN)‐based machine learning algorithm to achieve 98.8% accuracy in recognizing six common gestures. …”
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Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data by Xinyu Chen, Albertus Stephanus Louw, Ali P. Yunus, Saleh Alsulamy, Deha Agus Umarhadi, Md. Alamgir Hossen Bhuiyan, Ram Avtar

“…We found that a flow accumulation algorithm with a threshold value of 5000 detected the rill network with overall accuracies of >88% and F1-scores of >93%. …”
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Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches by H. Banderier, H. Banderier, A. Tuel, T. Woollings, O. Martius, O. Martius, O. Martius

“…The dynamics of the tropopause-level summer wind can then be described by the time series of visited SOM clusters, in which a long stay in a given cluster relates to a persistent state and a transition between clusters that are far apart relates to a sudden considerable shift in the configuration of upper-level flow.</p> <p>Second, we adapt and apply a jet core detection and tracking algorithm to extract individual jets and classify them into the canonical categories of eddy-driven and subtropical jets (EDJs and STJs, respectively). …”
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Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…In some applications, such a flow is redundant and can be optimized through the use of various algorithms for the primary processing of information. …”
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Trends and Variability of North Pacific Polar Lows by Fei Chen, Hans von Storch

“…The 6-hourly 1948–2010 NCEP 1 reanalyses have been dynamically downscaled for the region of the North Pacific. With a detecting-and-tracking algorithm, the climatology of North Pacific Polar Lows has been constructed. …”
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