Lattice-Based Generation of Euclidean Geometry Figures by Jonathan Henning, Hanna King, Sophie Ngo, Jake Shore, Alex Gardner, Chris Alvin, Grace Stadnyk

“…As input, we take a user-defined vector of primitive geometry shapes and convert each into a GFL. …”
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Lightweight opportunistic routing forwarding strategy based on Markov chain by Feng LI, Ya-li SI, Zhen CHEN, Li-min SHEN

“…A lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequence of a plurality of continuous time period constitutes a discrete Markov chain.The activity degree of encounter node was estimated by Markov model to predict its state of future time period,which can enhance the accuracy of activity degree estimation.Then,the method of comprehensive evaluating forwarding utility was designed based on the activity degree of node and the average encounter interval.MOR used the utility of node for making a routing forwarding decision.Each node only maintained a state of last time period and a state transition probability matrix,and a vector recording the average encounter interval of nodes.So,the routing forwarding decision algorithm was simple and efficient,low time and space complexity.Furthermore,the method was proposed to set optimal number of the message copy based on multiple factors,which can effectively balance the utilization of network resources.Results show that compared with existing algorithms,MOR algorithm can effectively increase the delivery ratio and reduce the delivery delay,and lower routing overhead ratio.…”
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Evaluation of the Changes in the Strength of Clay Reinforced with Basalt Fiber Using Artificial Neural Network Model by Yasemin Aslan Topçuoğlu, Zeynep Bala Duranay, Zülfü Gürocak

“…To validate the prediction capabilities of the ANN, a comparative analysis was performed using linear regression, support vector machines, and Gaussian process regression models. …”
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Structure Design and Optimization of Self-locking Under-actuated Gripper by Shuting He, Yi Shen, Xianling Dai, Beibei Qiu, Xianfeng Pan, Mingxin Yuan

“…The structure design of the gripper is completed based on the under-actuated principle， and the feasibility of structural self-locking and enveloping clamping is ensured through the analysis of the clamping configuration and clamping process. According to the principle of virtual work and the vector closed equation of the linkage mechanism， a static modeling under the adaptive gripping state of the gripper is constructed. …”
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A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches by Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz

“…Feature selection is the process of identifying the most relevant features from the given data having a large feature space. …”
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Construction of Generating Grinding Model and Analysis of Influencing Factor for Cycloidal Gear Tooth Surface of RV Reducer by Li Tianxing, Xing Chunrong, Wang Guofeng, Su Jianxin, Wang Huiliang, An Xiaotao, Li Jubo

“…The machining accuracy of cycloidal tooth surface is the key factor affecting the motion performance of RV reducer,and the reverse correction of grinding parameters according to the data of tooth surface error detection is an important link in the manufacturing process of the cycloidal gear. Through the analysis of the cycloidal gear generating grinding principle,the complex motion relationship between the grinding wheel and the cycloidal gear is clarified and the model of the movement relation of the cycloidal tooth surface is established.Besides,based on the gear meshing theory and the principle of space coordinate conversion,the mathematical expression of the cycloidal gear theoretical tooth surface and the normal vector with the parameters of the grinding adjustment are deduced,which provides a theoretical basis for correcting the tooth profile error after testing.Then according to the cycloidal generating grinding model,the influence of main grinding parameters on the tooth surface error is discussed. …”
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Biodegradation of CAHs and BTEX in groundwater at a multi-polluted pesticide site undergoing natural attenuation: Insights from identifying key bioindicators using machine learning... by Feiyang Xia, Tingting Fan, Mengjie Wang, Lu Yang, Da Ding, Jing Wei, Yan Zhou, Dengdeng Jiang, Shaopo Deng

“…The accuracy and Area Under the Curve (AUC) achieved by Support Vector Machines (SVM) were impressive, with values of 0.87 and 0.99, respectively. …”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…Following that, data pre-processing such as tokenization, filtering, stemming, and case normalization are performed to remove outliers.  …”
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Landslide hazard early warning method for rock slopes using a hybrid LSTM-SARIMA data-driven model. by Yongxin Dai, Zijian Li, Jingbiao Lu

“…This paper proposes a comprehensive technical system for landslide early hazard warning in open-pit mine slopes, encompassing the full process of monitoring data acquisition and processing, analysis of influencing mechanisms, intelligent algorithm-based prediction, and the construction of early hazard warning indicators. …”
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Mood-Based Music Discovery: A System for Generating Personalized Thai Music Playlists Using Emotion Analysis by Porawat Visutsak, Jirayut Loungna, Siraphat Sopromrat, Chanwit Jantip, Parunyu Soponkittikunchai, Xiabi Liu

“…The system analyzes users’ emotions through text input, such as typing their current feelings, and processes this information using machine learning to create a playlist that resonates with their feelings. …”
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INVESTIGATION OF THE SUBJECT-SPATIAL ENVIRONMENT OF THE SCHOOL BY THE METHOD OF SEMANTIC DIFFERENTIAL by I. A. Vinogradova, E. V. Ivanova, O. V. Nesterova

“…Physical and psychological parameters of the school space have a significant impact on the motivation of a learning process and its results. Specificity of the school environment, its atmosphere and surroundings determine the meaning and nature of learning, a vector and activity of development and self-development of participants in the educational process, and determine their actions in it. …”
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An analytical pressure-velocity fusion algorithm-empowered flexible sensing patch for flight parameter detection by Yunfan Li, Zihao Dong, Zheng Gong, Zhiqiang Ma, Xin Ke, Tianyu Sheng, Xiaochang Yang, Xilun Ding, Yonggang Jiang

“…However, the poor resolution of flexible sensors and time-consuming neural network processes mitigate their accuracy and adaptability in predicting flight parameters. …”
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Geoinformatics and Machine Learning for Shoreline Change Monitoring: A 35-Year Analysis of Coastal Erosion in the Upper Gulf of Thailand by Chakrit Chawalit, Wuttichai Boonpook, Asamaporn Sitthi, Kritanai Torsri, Daroonwan Kamthonkiat, Yumin Tan, Apised Suwansaard, Attawut Nardkulpat

“…Coastal erosion is a critical environmental challenge in the Upper Gulf of Thailand, driven by both natural processes and human activities. This study analyzes 35 years (1988–2023) of shoreline changes using geoinformatics, machine learning algorithms (Random Forest, Support Vector Machine, Maximum Likelihood, Minimum Distance), and the Digital Shoreline Analysis System (DSAS). …”
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The Current Status in Terms of Vaccination for Individuals Infected with Human Immunodeficiency Virus by Nan Xu, Yanru Shen, Weijin Huang, Jianhui Nie

“…Based on the preparation processes and their antigenic properties, vaccines are divided into several types, including inactivated vaccines, attenuated live vaccines, recombinant protein vaccines, toxoid vaccines, polysaccharide vaccines, polysaccharide (protein) combined vaccines, nucleic acid vaccines, viral vector vaccines, etc. …”
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EXPRESSION PROFILE OF MICRORNAS IN SQUAMOUS CELL HEAD AND NECK CARCINOMA by Yu. A. Veryaskina, G. V. Kakurina, E. S. Zhuravlev, S. E. Titov, I. V. Kondakova, O. V. Cheremisina, D. A. Shishkin, I. F. Zhimulev, E. L. Choynzonov, N. N. Kolesnikov

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Classifying Dementia Severity Using MRI Radiomics Analysis of the Hippocampus and Machine Learning by Dong-Her Shih, Yi-Huei Wu, Ting-Wei Wu, Yi-Kai Wang, Ming-Hung Shih

“…However, most methods analyze 2D MRI images, losing anatomical context. Our study processes 3D MRI data with AC-PC alignment correction and extracts radiomic features from the segmented hippocampus, followed by discretization and principal component analysis for optimization. …”
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Spatial patterning of chloroplasts and stomata in developing cacao leaves by Insuck Baek, Seunghyun Lim, Visna Weerarathne, Dongho Lee, Jacob Botkin, Silvas Kirubakaran, Sunchung Park, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn

“…Abstract Leaf development and the coordinated formation of its key components is a fundamental process driving plant growth and adaptation. In tropical species like cacao, flush growth, a period of rapid leaf expansion, is particularly dependent on the optimized spatial patterns of chloroplasts and stomata. …”
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Evaluation of the Electromagnetic Behavior of TiC/Ti3AlC2 Ceramic Matrix Composites Synthesized by in Situ Method by Kh. Zamani, A. Ghasemi, M. Tavoosi, Gh. Gordani

“…In this case, the milling process and secondary heat treatment were used for the synthesis of the composite. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Additionally, machine learning algorithms such as artificial neural networks, support vector machines, regression trees, ensemble of regression trees, Gaussian process regression, efficient linear regression, and kernel methods are employed to predict power reduction due to soiling and soiling losses across various soiling percentages. …”
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Land cover change across the major proglacial regions of the sub-Antarctic islands, Antarctic Peninsula, and McMurdo Dry Valleys, during the 21st century by Christopher D. Stringer, Jonathan L. Carrivick, Duncan J. Quincey, Daniel Nývlt, Alexis Comber

“…Land cover information is essential for understanding Earth surface processes and ecosystems. Here, we use K-means clustering to classify Landsat 8 Operational Land Imager (OLI) images covering six proglacial sites of sub-Antarctic islands, the Antarctic Peninsula, and the McMurdo Dry Valleys at 30-m resolution. …”
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