Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) by Hiliah Firda, Pacu Putra, Nabila Rizky Oktadini, Putri Eka Sevtiyuni, Allsela Meiriza

“…It compares two labeling methods—Rating-Based and Inset Lexicon—and evaluates them using the Support Vector Machine (SVM) algorithm. The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. …”
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Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques by Mohammed Alqarni, Ali Alqarni

“…These findings have implications for various applications such as environmental monitoring, pollutant dispersion modeling, and chemical process optimization.…”
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Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

“…This study introduces a method that uses support vector regression (SVR) models trained on skin outline radiomic features to predict organ doses without organ segmentation, thus streamlining the process for clinical use. …”
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Personality and emotion—A comprehensive analysis using contextual text embeddings by Md. Ali Akber, Tahira Ferdousi, Rasel Ahmed, Risha Asfara, Raqeebir Rab, Umme Zakia

“…The objective is to automate the process of determining the relationship between personality traits of the MBTI (Myers-Briggs Type Indicator) and Ekman’s emotions based on the context of user-written social media posts using contextual embedding. …”
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Automatic determination of semantic similarity of student answers with the standard one using modern models by Nadezhda S. Lagutina, Ksenia V. Lagutina, Vladislav N. Kopnin

“…The task of determining semantic similarity of texts is an important component of many areas of natural language processing: machine translation, information retrieval, question and answer systems, artificial intelligence in education. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
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Study on the multistage iterative rank-reduced method by GUO Yi1, ZHANG Er-yang1, SHEN Rong-jun2

“…On the background of joint space-time anti-jammer processing for GPS receiver,multistage Wiener filter-ing（MWF）algorithm and auxiliary vector filtering（AVF）algorithm was deeply analyzed as two typical multistage itera-tive rank-reduced method in this article and their immanent relationship was pointed out.A new algorithm was proposed which has a forward recursion on the data level and a backward iterative.Compared with MWF and AVF,the proposed algorithm has a better performance,reduces the computation complexity and selects the filter rank more easily.It suits with practical realization of joint space-time anti-jammer processing for GPS receiver.Numerical simulation demon-strates that the proposed method is effect and efficient.…”
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Study on the multistage iterative rank-reduced method by GUO Yi1, ZHANG Er-yang1, SHEN Rong-jun2

“…On the background of joint space-time anti-jammer processing for GPS receiver,multistage Wiener filter-ing（MWF）algorithm and auxiliary vector filtering（AVF）algorithm was deeply analyzed as two typical multistage itera-tive rank-reduced method in this article and their immanent relationship was pointed out.A new algorithm was proposed which has a forward recursion on the data level and a backward iterative.Compared with MWF and AVF,the proposed algorithm has a better performance,reduces the computation complexity and selects the filter rank more easily.It suits with practical realization of joint space-time anti-jammer processing for GPS receiver.Numerical simulation demon-strates that the proposed method is effect and efficient.…”
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Passive indoor human daily behavior detection method based on channel state information by Xiaochao DANG, Yaning HUANG, Zhanjun HAO, Xiong SI

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Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties by Stefan M. Kolašinac, Marko Mladenović, Ilinka Pećinar, Ivan Šoštarić, Viktor Nedović, Vladimir Miladinović, Zora P. Dajić Stevanović

“…After visual inspection of spectra, pre-processing was applied in the following combinations: (1) smoothing + linear baseline correction + unit vector normalization; (2) smoothing + linear baseline correction + unit vector normalization + full multiplicative scatter correction; (3) smoothing + baseline correction + unit vector normalization + second-order derivative. …”
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An IoT-Enabled mHealth Sensing Approach for Remote Detection of Keratoconus Using Smartphone Technology by Behnam Askarian, Amin Askarian, Fatemehsadat Tabei, Jo Woon Chong

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Egg appearance quality detection based on CNN-SVM model by QI Ge, ZHAO Feng, LI Wanning

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Handheld NIR Spectroscopy Combined with a Hybrid LDA-SVM Model for Fast Classification of Retail Milk by Francesco Maria Tangorra, Annalaura Lopez, Elena Ighina, Federica Bellagamba, Vittorio Maria Moretti

“…The EU market offers different types of milk, distinguished by origin, production method, processing technology, fat content, and other characteristics, which are often detailed on product labels. …”
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Research on the Sharing Control Method of Anemometer Based on Wind Direction Correlation Coefficient of Wind Turbine by WEN Kun, WAN Yubin, HU Kaikai, ZHANG Jiayou, CHEN Ya'nan, LI Kecheng

“…An anemometer sharing control method based on wind direction correlation coefficient is proposed in this paper according to the wind speed and direction sharing technology concept of wind turbine. Firstly, the wind vector average method is used to preprocess the wind direction sequence of adjacent fans to solve zero-crossing problem of wind direction sequence.Then, using regression analysis method based on Pearson correlation coefficient theory, the wind direction sequence of adjacent fans is further processed to form a list of wind direction correlation coefficients of defective fans and establish a shared fan group, which are used to predict the wind direction of defective fans. …”
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Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…The proposed algorithm can be integrated into various rPPG algorithms for the pre-processing of RGB signals. Moreover, its computational efficiency is expected to enable straightforward implementation in system development, making it broadly applicable across the healthcare field.…”
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Hyperdimensional computing in biomedical sciences: a brief review by Fabio Cumbo, Davide Chicco

“…Hyperdimensional computing (HDC, also known as vector-symbolic architectures—VSA) is an emerging computational paradigm that relies on dealing with vectors in a high-dimensional space to represent and combine every kind of information. …”
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Microbiome of <i>Hyalomma dromedarii</i> (Ixodida: Ixodidae) Ticks: Variation in Community Structure with Regard to Sex and Host Habitat by Nighat Perveen, Alejandro Cabezas-Cruz, Daniil Iliashevich, Lianet Abuin-Denis, Olivier Andre Sparagano, Arve Lee Willingham

“…A total of 40 ticks (male (15), female (15), and nymph (10)) were selected from tick samples collected from camels and processed for genomic DNA and next-generation sequencing using the Illumina MiSeq platform. …”
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Improving automated deep phenotyping through large language models using retrieval-augmented generation by Brandon T. Garcia, Lauren Westerfield, Priya Yelemali, Nikhita Gogate, E. Andres Rivera-Munoz, Haowei Du, Moez Dawood, Angad Jolly, James R. Lupski, Jennifer E. Posey

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Optimized Whole-Slide-Image H&amp;E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology by Jose L. Agraz, Carlos Agraz, Andrew A. Chen, Charles Rice, Robert S. Pozos, Sven Aelterman, Amanda Tan, Angela N. Viaene, MacLean P. Nasrallah, Parth Sharma, Caleb M. Grenko, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Russell T. Shinohara, Spyridon Bakas, Parker Wilson

“…Building on published graphical method, this research demonstrates a mathematical population or data-driven method that optimizes the dependency on the number of reference WSIs and corresponding aggregate sums, thereby increasing SCN process efficiency. This method expedites the analysis of color convergence 50-fold by using stain vector Euclidean distance analysis, slashing the requirement for reference WSIs by more than half. …”
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