Critical depth prediction based on in-situ stress and gas content model of deep coalbed methane in Liupanshui Coalfield in China by Fang Lv, Ruidong Yang, Wei Gao, Lingyun Zhao, Yaohui Liu, Zhihua Yan, Fulun Shi, Binxin Zhang, Jingui Tang, Tongsheng Yi

“…The hyperbolic regression algorithm was employed in order to derive both the envelope and median formulas for lateral pressure coefficient (k values). …”
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TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury by Shubhayu Bhattacharyay, Florian D. van Leeuwen, Erta Beqiri, Cecilia A. I. Åkerlund, Lindsay Wilson, Ewout W. Steyerberg, David W. Nelson, Andrew I. R. Maas, David K. Menon, Ari Ercole, the CENTER-TBI investigators and participants

“…With 20 repeats of fivefold cross-validation, we trained TILTomorrow on different variable sets and applied the TimeSHAP (temporal extension of SHapley Additive exPlanations) algorithm to estimate variable contributions towards predictions of next-day changes in TIL(Basic). …”
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PSTR: A Test Case Reuse Method Based on Path Similarity by Xinyue Xu, Sinong Chen, Zhonghao Guo, Xiangxian Chen

“…Finally, the path similarity algorithm compares paths between the old and new versions, allowing test cases associated with the most similar paths to be reused for the new version. …”
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Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…Deep Learning method applied here is using Convolutional Neural Network (CNN). The algorithm is like human nerves and is one of supervised learning. …”
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Comprehensive Analysis of m5C RNA Methylation Regulator Genes in Clear Cell Renal Cell Carcinoma by Jiajin Wu, Chao Hou, Yuhao Wang, Zhongyuan Wang, Pu Li, Zengjun Wang

“…By univariate Cox analysis and last absolute shrinkage and selection operator (LASSO) Cox regression algorithm, a m5C-related risk signature was constructed in the training group and further validated in the testing group and the entire cohort. …”
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Topology control based on dynamic graph embedding in Internet of vehicles by Yanfei SUN, Jiazheng YIN, Jin QI, Xiaoxuan HU, Mengting CHEN, Zhenjiang DONG

“…It is contrasted with random network, DeepWalk methods,Node2Vec methods and dynamic growth (DN) algorithm. By testing the established connection number, chain scission probability and average hops between reachable nodes, it is found that the networks established by Node2Vec method and LRGE method are more reasonable, with low chain scission probability, less network redundancy and more practical network topology. …”
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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…Subsequently, functional enrichment analyses, including GO, KEGG, and GSEA, were performed to explore the biological significance of the GARGs.A PPI network was constructed to identify core genes, and immune infiltration analysis was performed using the ssGSEA algorithm. To further evaluate immune microenvironmental features, unsupervised clustering was applied to identify immunological subgroups. …”
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Kinematics Analysis and Performance Optimization of Low Coupling PRPaR/2CRR Parallel Mechanism by Zhang Li, Zhu Lei, Xu Dong

“…What's more, a multi-objective optimization design model was established based on the comprehensive performance of the workspace volume, the global dexterity, and the global operability, and the optimal structural parameter size solution was calculated using the NSGA-Ⅱ algorithm. The research results show that the external boundary of the workspace of the PRPaR/2CRR parallel mechanism is smooth, with a semi tire shaped structure and local cavities. …”
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Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy by Fachrul Rozie, Iwan Syarif, Muhammad Udin Harun Al Rasyid, Edi Satriyanto

“…This study aims to develop a smart system in aquaponic cultivation by utilizing Internet of Things technology which is equipped with several types of sensors to monitor and control water quality by applying the Fuzzy Inference System (FIS) algorithm to regulate the speed of pool water circulation in order to save electric power on the pump. …”
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Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-we... by Xingrui Wang, Zhenhui Xie, Xiaoqing Wang, Yang Song, Shiteng Suo, Yan Ren, Wentao Hu, Yi Zhu, Mengqiu Cao, Yan Zhou

“…After tumor segmentation, the k-means algorithm clustered Ktrans and ADC image voxels to generate spatial habitats and extract quantitative image features. …”
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Desain Layanan E-Surat untuk Desa Waru Barat, Pamekasan, Madura menggunakan QR-Code by Wahyudi Agustiono, Intan Rofika Putri, Devie Rosa Anamisa

“…Despite these practical implication, the contribution of this research, especially to the IT discipline which could be adopted in the future study, is the system architecture and e-certificate application along with the algorithm for generating unique QR Code to ensure the security and validity of the document.            …”
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Pengembangan Business Intelligence Dashboard untuk Monitoring Aktivitas Pariwisata (Studi Kasus: Dinas Pariwisata Provinsi Bali) by Evan Himawan Saragih, I Putu Agung Bayupati, Gusti Agung Ayu Putri

“…The error value of this forecasting method can be calculated using the Mean Absolute Percentage Error algorithm. In order to determine the level of utilization of this system development, black box testing, usability testing and user acceptance tests are used to determine the quality and functionality of the system in terms of input, output, and assessment by system users. …”
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Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

“…The NSGA-II evolutionary algorithm is used to solve multi-objective-function problems and their constraints to obtain optimal parameter values. …”
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A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) by Ze Chang, Yunfan Zhang, Xiao Liang, Yunmeng Chen, Chunyan Guo, Xiansu Chi, Liuding Wang, Xie Wang, Hong Chen, Zixuan Zhang, Longtao Liu, Lina Miao, Yunling Zhang

“…A Gaussian Graphical Model (GGM) was employed to build the symptom network, and the Fruchterman-Reingold algorithm was used for visualization, with the thickness and color of the edges representing partial correlations between symptoms. …”
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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…To address the challenges (eg, the curse of dimensionality and increased model complexity) posed by high-dimensional features, we developed a dynamic adaptive feature selection optimization algorithm to identify the most impactful subset of features for classification performance. …”
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Intelligent task-oriented semantic communications:theory, technology and challenges by Chuanhong LIU, Caili GUO, Yang YANG, Jiujiu CHEN, Meiyi ZHU, Lu’nan SUN

“…Furthermore, from the perspective of neural network interpretability,an interpretability-based semantic encoding method is proposed.Finally, a semantic communication platform for intelligent tasks is built based on software and hardware such as USRP and LabView,and the performance of the proposed algorithm is verified. Results:In the communication scenario where the source needs to be reconstructed,the semantic communication method proposed in this paper can greatly improve the compression ratio of the source data and greatly reduce the amount of transmitted data.Under the same compression ratio, the performance of the receiver to perform subsequent intelligent tasks can be improved,and the performance of source reconstruction can be improved at the same time.In scenarios where there is no need to reconstruct the source,the semantic communication method can better accomplish intelligent tasks with a large compression ratio.This is because semantic communication transmits the semantic information of the image instead of all the data of the image,which greatly reduces its bandwidth requirements,and the bandwidth utilization rate of semantic communication is 100 times higher than that of traditional communication methods. …”
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Automated Video Assistant Referee in Lead Climbing by Eliane Künzler, David Roder, Urs Stöcker, Peter Wolf

“…Next, we will compare our scoring algorithm representing given regulations with scores awarded. …”
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Aplikasi Pencarian Hadis Menggunakan Vector Space Model Dengan Pembobotan TF-IDF Dan Confix-Stripping Stemmer by Novi Prisma Yunita

“…Including Vector Space Model (VSM) and Term Frequency – Inverse Document Frequency (TF-IDF) to create vector space and term weighting and stemming using the Confix-Stripping Stemmer (CS Stemmer) algorithm. In addition, pre-processing techniques use stopwords removal, and similarity measurements use Inner Product Similarity Measurement. …”
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Performance evaluation of inset feed microstrip patch antenna parameters with different substrate materials for 5G wireless applications by Kebbekoppalu Shrinivasa Praveena, M Patil Chandrashekar

“…The proposed method uses a new hybrid GA-PSO algorithm with Dynamic Adaptive Mutation and Inertia Control (DAMIC). …”
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Deteksi Dan Klasifikasi Hama Potato Beetle Pada Tanaman Kentang Menggunakan YOLOV8 by Daniel Geoffrey Manurung, Mohammad Ryan Pinasthika, Muhammad Azka Obila Vasya, Rania Aprilia Dwi Setya Putri, Agustinus Parasian Tampubolon, Rakan Fadhil Prayata, Septia Khoirin Nisa, Novanto Yudistira

“…The Convolutional Neural Network (CNN) algorithm, which is effective in image processing, is utilized for the detection and classification of potato beetles. …”
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