Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective by Xiaoyun Cheng, Kun Huang, Lei Qu, Tianbao Zhang, Li Li

“…To solve the multicollinearity among the variables and high-dimensional problem, this study utilizes two different penalization-based regression models, the LASSO (least absolute shrinkage and selection operator) and Elastic Net regression algorithms, to achieve the variable selection and explore the impacts of the built environment on the change of travel demand triggered by the LPR policy. …”
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Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

“…In this research, an innovative support vector regression approach is present that leverages machine learning algorithms to forecast the bearing response of CFREC joints after undergoing hydrothermal aging. …”
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New Bridge Weigh-in-Motion System Using Piezo-Bearing by Jinkyo F. Choo, Dong-Ho Ha, Seok-Gi Chang, Dong-Ho Lee, Chang-Beck Cho

“…The traditional BWIM (bridge weigh-in-motion) system measures the deformation of the bridge by means of sensors and uses these measurements to estimate the characteristics of passing traffic by means of dedicated algorithms. However, the application of the BWIM system is subordinated to the type of superstructure, composition, geometry, materials, and shape of the bridge, the location of the strain sensors used in the system, and the need to calibrate the measured strain curve and of a precise model of the structure at hand. …”
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Image dataset: UAV images and ground data of one ‘Bingo’ mandarin and two ‘Valencia’ orange rootstock trials conducted in FloridaAg Data CommonsAg Data Commons by Randall P. Niedz, Kim D. Bowman

“…The data will be useful for 1) visualizing the effects of different rootstock selections and varieties on scion growth, effects that may not be fully captured with single measure metrics; and 2) development of image analysis applications and segmentation algorithms that can extract data from the images that are suitable for replacing some or all the ground measures.…”
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Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data by Yan Zhang, M. M. Kamruzzaman, Lu Feng

“…In order to carry out related action recognition research on the lifting action of vertical Baduanjin, this paper uses sensor technology to collect the motion video image of vertical Baduanjin based on the background of big data and uses action recognition technology and related algorithms to obtain the action. Recognize the video image to obtain the data, get the acceleration, angular velocity, and EMG data, and count the end time and duration according to the change of the action. …”
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A Decentralised Task Mapping Approach for Homogeneous Multiprocessor Network-On-Chips by Peter Zipf, Gilles Sassatelli, Nurten Utlu, Nicolas Saint-Jean, Pascal Benoit, Manfred Glesner

“…We present a heuristic algorithm for the run-time distribution of task sets in a homogeneous Multiprocessor network-on-chip. …”
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Webometric as diagnostic tools of digital sociology: contents, purpose, usage experience by M. V. Kibakin

“…The rules and conditions for effective use of Webometrics have been substantiated, based on the usage of content analysis methods and procedures for the development of its forms; to include usability and visibility in the analysis of technological characteristics of Internet portals; to make the research parameters used reliable by separating them from official documents of state policy and corporate strategies; to combine traditional methods of fixing primary data and computer algorithms. A specific webometric technique has been revealed in detail, which implies fixing the formal status of the Internet source under study, the content parameters of information representation of information about the implementation of state policy on the example of working with young people, the availability of services, as well as indicators of the site’s technology and ease of access to it by the population. …”
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Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model by Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye

“…Trajectory prediction is a critical task to anticipate the future positions of surrounding vehicles. However, existing algorithms, such as LSTM-based and attention-based models, face challenges of high computational complexity, large parameter sizes, and limited ability to efficiently capture both temporal dependencies and spatial interactions in dynamic traffic scenarios. …”
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Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus by Bivin Pradeep, Parag Kulkarni, Farman Ullah, Abderrahmane Lakas

“…The window size six performs better for most time-series algorithms and hyperparameter combinations.…”
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Microcephalic osteodysplastic primordial dwarfism type II in four Indian children with PCNT variants by Amit Singh, Mahak Garg, Mohammed Shariq, Preeti Khetarpal, Inusha Panigrahi

“…Data were analyzed using standard bioinformatic algorithms and possible causal variants identified. …”
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Dual-Band Power Divider with Wide Suppression Band by Salman Karimi, Golshan Mohamadpour, Saeed Roshani

“…The weights of each neuron are obtained using particle swarm optimization algorithms. The proposed neural network model has accurate results, and the mean relative error of the train and test data for both outputs is <0.1 , which validates the accurate results of the proposed model. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
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Multivariate analysis of long-term climate data in connection with yield, earliness and the problem of global warming by V. M. Efimov, D. V. Rechkin, N. P. Goncharov

“…This optimization should apply algorithms for smart farming and take into consideration possible climate variations.  …”
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A Novel Active Vibration Control Method for Helicopter Fuselages Based on Diffusion Cooperation by Jingliang Li, Yang Lu

“…First, a novel control law was established by introducing the network topology of the diffusion cooperation strategy into the classical filtered-x least mean square (FxLMS) algorithm, forming the diffusion FxLMS (DFxLMS) algorithm. …”
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An Overview of Computational Models for Industrial Internet of Things to Enhance Usability by Zhen Ying, Iftikhar Ahmad, Saima Mateen, Asad Zia, Ambreen, Shah Nazir, Neelam Mukhtar

“…The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. …”
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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…Despite their ability to return subgraphs quickly and accurately, these methods are limited to their applications without medical data research.MethodsIn order to overcome this limitation, based on the existing research on GPM with the lung cancer knowledge graph, this paper introduces the Monte Carlo method and proposes an edge-level multi-constraint graph pattern matching algorithm TEM with lung cancer knowledge graph. Furthermore, we apply Monte Carlo method to both nodes and edges, and propose a multi-constraint hologram pattern matching algorithm THM with lung cancer knowledge graph.ResultsThe experiments have verified the effectiveness and efficiency of TEM algorithm.DiscussionThis method effectively addresses the complexity of uncertainty in lung cancer knowledge graph, and is significantly better than the existing algorithms on efficiency.…”
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Chronic hepatitis C course at elderly and therapeutic approach by M. V. Mayevskaya, M. A. Morozova

“…This complication requires careful monitoring of hemoglobin and hematocrit level during the whole period of treatment and, if necessary, decline of drug doses according to established algorithms.Conclusion. Elderly age is not an absolute contraindication for antiviral treatment. …”
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Learning dynamics of muscle synergies during non-biomimetic control maps by King Chun Tse, Patricia Capsi-Morales, Cristina Piazza

“…Advanced myoelectric prostheses feature multiple degrees of freedom (DoFs) and sophisticated control algorithms that interpret user motor intentions as commands. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…For instance, AI-powered chatbots and virtual assistants provide real-time customer support, while machine learning algorithms analyze booking patterns to offer personalized travel recommendations. …”
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Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

“…We describe steps for acquiring bone marrow data; conducting single-cell downstream analysis; and leveraging the St. Jude Algorithm for the Reconstruction of Accurate Cellular Networks (SJARACNe), Network-based Bayesian Inference of Drivers (NetBID2), and single-cell Mutual Information-based Network Engineering Ranger (scMINER) algorithms for network-based analysis. …”
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