Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian by Solikhun Solikhun, Dinda Carissa Arishandy, Ela Roza Batubara, Poningsih

“…Data from Shopee, Tokopedia, Lazada, Blibli, and Bukalapak were used to analyze and compare predictions with classical perceptron methods, showing the significant potential of Quantum Perceptron in supporting the development of more efficient business strategies. The research results show that the Quantum Perceptron algorithm can make predictions very well compared to the classical perceptron, proven by the Quantum Perceptron having a perfect accuracy of 100% with a total of 2 epochs while the classical perceptron has 100% accuracy with a total of 10 epochs. …”
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Implementation and Evaluation of a Mobile Indoor Positioning System Using the Frequency Switching Model by Youssef Ibnatta, Mohammed Khaldoun, Mohammed Sadik

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AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments—a narrative review by Xuanchi Guo, Yuhan Shao

“…Clinical practice has shown that AI has formed a complete closed loop of clinical application by optimizing the process of treatment plan development, realizing dynamic adjustment mechanisms, and enhancing patient compliance based on mobile medical platforms. Current research still needs to address core issues such as data privacy protection framework, algorithm interpretability enhancement, and multi-center validation. …”
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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

“…A key component of the research is the application of Garson's algorithm, which identifies the relative importance of each of the seven indexes in influencing climate outcomes. …”
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Sentiment Analysis on Google Reviews Using Naïve Bayes, K-Nearest Neighbors, and Logistic Regression to Improve Novotel Services by Yonathan Arya Dhamma, Simon Prananta Barus

“…Thus, most of the sentiment towards the service is positive, but some services need to be fixed and improved for customer satisfaction. The next research, the research area is expanded and the use of Deep Learning.…”
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A Cooperative Motion Control Using Leader-Follower Approach for Unmanned Underwater Vehicle by Jingxiang Feng, Yang Cao, Xueman Fan, Guang Yang, Jingwei Dong

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Application of Machine Learning for Methanolysis of Waste Cooking Oil Using Kaolinite Geopolymer Heterogeneous Catalyst by Pascal Mwenge, Hilary Rutto, Tumisang Seodigeng

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Numerical modeling of fracture processes of bodies with stress concentrators under conditions of proportional loading, taking into consideration the statistical distribution of ult... by Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

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Enhancing Hazard Detection and Risk Severity Assessment in Construction through Multinomial Naive Bayes and Regression by Akaninyene Michael Akwaisua, Anietie Ekong, Godwin Ansa

“…This research delves into the crucial area of hazard detection and risk severity assessment within the construction industry, using machine learning techniques. …”
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Computer Simulation of Ideological and Political Teaching under Big Data of Complexity by Guoping Zhu, Guohua Zhu, Jianhua Zhang

“…In this study, a set of computer simulation system for I&P teaching is constructed, and targeted research is launched from this. The main research results are as follows: Firstly, a computer simulation system for ideological and political teaching is designed based on the Apriori algorithm and other theoretical foundations. …”
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An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System by Shengjun Wu, Qingshan Xu, Qun Li, Xiaodong Yuan, Bing Chen

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Methodology of calculating on-board equipment arranging coordinates with preliminary estimate of on-board cable system mass by A. A. Belyakov, A. I. Shulepov, V. М. Papazov, V. I. Prihodko, A. V. Fedosov

“…The proposed methodology continues to be used in experimental testing by design engineers; some of its provisions will be developed in further research.…”
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A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments by Feng Chen, Cunbao Zhang, Yu Cao

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Identification of core sub-team on scientific collaboration networks with Shapley method by Lixin Zhou, Chen Liu, Xue Song

“…Identifying the core sub-teams that drive productivity in scientific collaboration networks is essential for research evaluation and team management. However, existing methods typically rank individual researchers by bibliometric impact or select structurally cohesive clusters, but rarely account for both collaboration patterns and joint scientific output. …”
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Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection by Elisabetta Canuti, Martina Austoni

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A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry by Blanka Bártová, Vladislav Bína, Lucie Váchová

“…This summary can help researchers choose a suitable method and build models for achieving its research purpose.…”
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Detecting Fraudulent Transaction in Banking Sector Using Rule-Based Model and Machine Learning by Cut Dinda Rizki Amirillah

“…This research aims to develop an effective fraud detection model in banking transactions using the rule-based model (RBM) approach and the isolation forest (IF) machine learning algorithm. …”
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THE METHOD FOR PREDICTING THE TYPE OF SCAR TISSUE IN THE TREATMENT OF BURN WOUNDS by Yu. V. Yurova, E. V. Zinoviev, K. M. Krylov

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Face Identification Based on K-Nearest Neighbor by Ni Kadek Ayu Wirdiani, Praba Hridayami, Ni Putu Ayu Widiari, Komang Diva Rismawan, Putu Bagus Candradinata, I Putu Deva Jayantha

“…The K-Nearest Neighbor algorithm uses neighborhood classification as the predictive value of a good instance value. …”
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Eco-Driving Optimal Controller for Autonomy Tracking of Two-Wheel Electric Vehicles by Y. Bello, T. Azib, C. Larouci, M. Boukhnifer, N. Rizoug, D. Patino, F. Ruiz

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