Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…This work proposes a complex network theory framework decoding structure–function coupling by mapping convolutional layers, fully connected layers, and Dropout modules into graph representations. To overcome limitations of heuristic compression techniques, we develop a topology-sensitive adaptive pruning algorithm that evaluates critical paths via node strength centrality, preserving structural–functional integrity. …”
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Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques by Oryza Wisesa, Andi Andriansyah, Osamah Khalaf

“…The best performance model found was Gradient Boost Algorithm. The result form graph the data close together from beginning till end of data target MSE and MAPE result are the best result than other method, MSE =24.743.000.000,00 and MAPE =0,18. …”
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Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

“…The methodology, results limitations, and future research directions were studied for each paper. Common challenges, limitations, and future research directions were analyzed.Results and conclusionThe main limitations are class imbalance, poor performance on new drugs, limited explainability, and the need for additional data sources.…”
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A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique by Vicka Rizqi Maulani, Mula Agung Barata, Pelangi Eka Yuwita

“…The cluster evaluation is based on the silhouette score matrix and the determination of k is based on the elbow graph. The results showed an increase in the silhouette score value after applying one-hot encoding 0.15 which was previously 0.09, with the number of k = 3. …”
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Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective by Yikun Su, Junhao Liu, Zhizhe Zheng

“…This study constructs a project network based on the labeled property graph (LPG) technique and demonstrates its dynamic evolution throughout the entire project lifecycle. …”
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A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

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Perimeter Degree Technique for the Reduction of Routing Congestion during Placement in Physical Design of VLSI Circuits by Kuruva Lakshmanna, Fahimuddin Shaik, Vinit Kumar Gunjan, Ninni Singh, Gautam Kumar, R. Mahammad Shafi

“…When used in conjunction with the current floorplan and the optimization technique in circuit design engineering, this research allows for the evaluation of design parameters that can be used to reduce congestion during integrated circuit fabrication. …”
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DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS by Valentyn Yesilevskyi, Anton Koliadin, Olena Sereda

“… The subject of research in the article is the module of automatic segmentation and subtraction of the background, which is created, based on the sequential application of methods of image preprocessing and modified method of interactive segmentation of images and implemented in the system of optical monitoring of the air situation. …”
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A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, HE Yun-bin, Li Song

“…The COpKNN query includes three sub-processes: based on the concepts of visibility graph, R-tree and heap sort, a method for calculating the obstacle distance between two points (greater than or equal to the Euclidean distance) is given; based on the R-tree query method, all possible k nearest neighbor result sets of q within the user-given time period (preliminary results, also called candidate sets) are found; the k nearest neighbor result set is pruned by using Mindist(E,q) and the candidate set update algorithm UpdataC(pn) to obtain a more accurate k nearest neighbor result set. …”
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Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models by Katarzyna Heryan, Jacek Tarasiuk, Janusz Skrzat

“…However, the complexity of renal vascular trees, particularly in corrosive endocasts, requires custom-designed algorithms to address unique challenges in reconstruction, segmentation, skeletonization, and graph-based representation. …”
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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

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Ginkgetin Alleviates Inflammation and Senescence by Targeting STING by Yadan Liu, Jialin Ye, Zisheng Fan, Xiaolong Wu, Yinghui Zhang, Ruirui Yang, Bing Jiang, Yajie Wang, Min Wu, Jingyi Zhou, Jingyi Meng, Zhiming Ge, Guizhen Zhou, Yuan Zhu, Yichuan Xiao, Mingyue Zheng, Sulin Zhang

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Fairness modeling for topics with different scales in short texts by Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie

“…The employment of graph algorithms facilitates the identification of semantically related clusters within the document graph, thereby enhancing the semantic associations between sparse data. …”
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Chapman-Kolmogorov Equations for a Complete Set of Distinct Reliability States of an Object by Paweł SZCZEPAŃSKI, Józef ŻUREK

“…The research results were referred to all possible structures of a three-element object. …”
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Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The research subjects are methods of the programming code evaluation during distance learning. …”
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Multi-Stage Operational Resilience Metric-Driven Optimal Service Restoration in DER-Rich Power Distribution Systems by Samridhi Sajwan, Bijaya Ketan Panigrahi, Anurag K. Srivastava

“…The increasing occurrence of high probability events and the absence of a universal resilience metric have shifted the research paradigm towards quantifying resilience to support adaptive restoration. …”
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A digital twin-driven enhanced visualization method for high-steep slope scene by Jun Zhu, Ying Ren, Yukun Guo, Jingyi Lu, Jianlin Wu, Zhihao Guo, Hengchao Gu, Hongyue Zhao

“…Research on enhanced visualization of high-steep slope twin scenes is crucial for accurately depicting relationships between entities and improving the efficiency and accuracy of scene cognition. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…EDNet detections are used in our M2Track multiobject tracking algorithm for tracking cells, detecting cell mitosis (cell division) events, and cell lineage graphs. …”
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Short-term wind power forecasting method for extreme cold wave conditions based on small sample segmentation by Lin Lin, Jinhao Xu, Jianfei Liu, Hao Zhang, Pengchen Gao

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Moving Vehicle Tracking Optimization Method Based on SPF by Caixia Lv, Xuejing Zhang

“…First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. …”
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