Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer’s Disease Detection by Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni

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Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning by Christopher P. Cheng, Ryan Sicard, Dragan Vujovic, Vikram Vasan, Chris Choi, David K. Lerner, Alfred‐Marc Iloreta

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Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG by Subhodwip Saha, Barun Haldar, Hillol Joardar, Santanu Das, Subrata Mondal, Srinivas Tadepalli

“…Consequently, integrating such predictive models can substantially enhance the precision, reliability, and overall efficiency of welding processes.…”
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AUTOMATIC SCORING OF KNOWLEDGE GAINED AND SHARED THROUGH DISCUSSION FORUMS: BASED ON THE COMMUNITY OF INQUIRY MODEL by P.A.L. Nadeesha, T.A. Weerasinghe, W.R.N.S Abeyweera

“…The methodology integrated Random Forest (RF) classification with TF-IDF feature extraction and Support Vector Machine (SVM) classification with Word2Vec embedding. …”
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Advanced Color Edge Detection Using Clifford Algebra in Satellite Images by Uzair Aslam Bhatti, Zhou Ming-Quan, Qingsong Huo, Sajid Ali, Aamir Hussain, Yan Yuhuan, Zhaoyuan Yu, Linwang Yuan, Saqib Ali Nawaz

“…Quaternion-based Fourier transform is used to process red, green and blue (RGB) images separately in the vector field. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…This research leverages a diverse dataset and robust image processing techniques to enhance diagnostic accuracy under such demanding conditions. …”
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Detection and Spatiotemporal Distribution Analysis of Vertically Developing Convective Clouds over the Tibetan Plateau and East Asia Using GEO-KOMPSAT-2A Observations by Haokai Kang, Hongqing Wang, Qiong Wu, Yan Zhang

“…To address these challenges, we integrated an optical flow algorithm (for dense atmospheric motion vector (AMV) retrieval) with cloud-top cooling rates (CTCRs, as indicators of vertical development), leveraging the high spatiotemporal resolution and multispectral capabilities of the GEO-KOMPSAT-2A (GK2A) satellite. …”
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Research on FAHP based Trojan attack effect evaluation by Chen-xi ZENG, Quan-yuan WU, Ai-ping LI, Rong JIANG

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Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm by Zhiguo Xin

“…First, the data is pre-processed. Then, missing data is filled in using segmented cubic spline interpolation. …”
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Good governance as the basis for the successful implementation of Ukraine’s state policy on European integration by O.V. Orel

“…To foster the development of Ukraine’s public administration in the context of European integration processes, this article substantiates and proposes the creation of a state policy document entitled «White Paper: Public Administration in Ukraine», structured as follows: Achievements (a brief overview of public administration reform outcomes in Ukraine); Benchmarks (description of good governance principles as key reform guidelines); Current State (description of the state of public administration in Ukraine at the time of research); Problems (overview of key issues, including an assessment of the compliance of public administration in Ukraine with good governance principles); Rationale for Reform (arguments in favour of further public administration reforms in Ukraine); Goals and Methodology (identification of the main purpose, goals, tasks, and applied research methods); Research Analysis (overview of the findings from major contemporary scientific and practical studies in the field of public administration in Ukraine and worldwide); Directions and Means of Reform Implementation (description of vectors for the future development of public administration in Ukraine and proposals for implementing core and alternative decisions); Results (description of intended outcomes, risks, and threats related to their achievement); Conclusions (logical summary of the material presented); Bibliography; Appendices. …”
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Cross-lingual transfer of sentiment classifiers by Marko Robnik-Šikonja, Kristjan Reba, Igor Mozetič

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Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30) by Abdullah Eaysin, Muhammad Ali Zinnah, Md. Nayem, Hosney Ara Begum, Md.Injamamul Haque Protyai, Salahuddin Ashrafi, Adib Bin Rashid

“…Predictive modeling was conducted using Support Vector Regression (SVR) and gradient-boosted regression Trees (GBRT) to assess the accuracy of MRR and Ra predictions. …”
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Synthesis of the Spatial Arrangement of Magnetic Field Sensors for Active Magnetic Field Shielding Systems of Overhead Power Lines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V., Voloshko O.V., Kolomiets V.V., Kobylianskyi B.B.

“…A synthesis of the spatial location and angular position of magnetic field sensors is created to solve a minimax vector optimization problem in which the vector objective function is calculated based on the Biot-Savart’s law. …”
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Scientific and Engineering Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by M. R. Bibarsov, S. V. Dvornikov, A. F. Kryachko, A. V. Pshenichnikov

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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…However, recent advances in natural language processing offer a promising avenue for developing applications that assist clinicians, thereby alleviating their administrative burdens. …”
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Pulse‐level work state recognition of multifunction radar based on MC‐RSG by Zijun Qin, Wenjuan Ren, Zhanpeng Yang, Xian Sun

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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

“…Abstract The research work introduces a new method for sentiment analysis in the context of restaurant evaluations, emphasizing the optimization of the trade-off between processing time and accuracy. A majority voting classifier is used in our research to evaluate and merge multiple machine learning models, such as Decision Tree, Support Vector Machine, Random Forest, Logistic Regression, K-Nearest Neighbors, Multinomial Naive Bayes, and an Ensemble Method. …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…Firstly,the user′s historical records under different behaviors were used as user-interested seed sets,and preference propagation was carried out along the relationships between nodes in the knowledge graph to infer the user′s potential preferences and enhance user representation; Then,the user representation vector and position representation vector were input into the prediction function to calculate the interaction probability of the user under each behavior type,and the weighted sum was used as the interaction probability of the target behavior. …”
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Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM by Adam GLOWACZ

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A Comparative Analysis of Machine Learning Models in News Categorization by Mohammad Hossein Zolfagharnasab, Siavash Damari

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