An Optimized Pulse-Counting Method for Compensation Vector Calculation in the Automatic Balancer by Lifang Chen, Bo Zhou, Zhaoju Li, Yixiang Guo, Ziwen Yan

“…In this paper, an optimized pulse counting method for compensation vector calculation in an electromagnetic dual-weight balancing system is proposed based on a programmable logic controller (PLC). …”
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Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning by Muhammad Umar Nasir, Muhammad Zubair, Muhammad Tahir Naseem, Tariq Shahzad, Ahmed Saeed, Khan Muhammad Adnan, Amir H. Gandomi

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Climate-Based Prediction of Rice Blast Disease Using Count Time Series and Machine Learning Approaches by Meena Arumugam Gopalakrishnan, Gopalakrishnan Chellappan, Santhosh Ganapati Patil, Santosha Rathod, Kamalakannan Ayyanar, Jagadeeswaran Ramasamy, Sathyamoorthy Nagaranai Karuppasamy, Manonmani Swaminathan

“…In this study, weather-based models were developed based on count time series and machine learning techniques like INGARCHX, Artificial Neural Networks (ANNs), and Support Vector Regression (SVR), to forecast the incidence of rice blast disease. …”
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Performance Comparison of Genomic Best Linear Unbiased Prediction and Four Machine Learning Models for Estimating Genomic Breeding Values in Working Dogs by Joseph A. Thorsrud, Katy M. Evans, Kyle C. Quigley, Krishnamoorthy Srikanth, Heather J. Huson

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Combining Generalized Linear Autoregressive Moving Average and Bootstrap Models for Analyzing Time Series of Respiratory Diseases and Air Pollutants by Ana Julia Alves Camara, Valdério Anselmo Reisen, Glaura Conceicao Franco, Pascal Bondon

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RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models by Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh

“…Extracted features use TF-IDF and Count Vectorizer for unigrams, bigrams, and trigrams. …”
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Innovations in animal health: artificial intelligence-enhanced hematocrit analysis for rapid anemia detection in small ruminants by Aftab Siddique, Sudhanshu S. Panda, Sophia Khan, Seymone T. Dargan, Savana Lewis, India Carter, Jan A. Van Wyk, Ajit K. Mahapatra, Eric R. Morgan, Thomas H. Terrill

“…Using artificial intelligence-powered machine learning algorithms, an advanced, easy-to-use sensor was developed for rapidly alerting farmers as to low red blood cell count of their animals in this way to enable timely medical intervention. …”
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Study on Selection Diversity for MIMO 3-User Interference Channel with Interference Alignment by Dongsup Jin, Xianglan Jin

“…While degrees of freedom (DoF) have traditionally been emphasized for throughput optimization in IA, limited research has addressed diversity order to improve error performance. In this work, we define a conditional DO and propose a beamforming vector selection method that achieves a conditional DO of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>M</mi><mn>2</mn></msup><mo>/</mo><mn>2</mn></mrow></semantics></math></inline-formula>, where <i>M</i> is the number of antennas per transceiver. …”
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Extremist Ideology Classification in Kazakh: A Multi-Class Approach Using Machine Learning and Psycholinguistic Analysis by Shynar Mussiraliyeva, Milana Bolatbek, Kymbat Baisylbayeva

“…The experimental results demonstrate the effectiveness of our hybrid approach. The combination of CountVectorizer + Logistic Regression + PLAM achieved the highest performance among traditional models (F1-score: 0.9305, Accuracy: 0.9308, ROC AUC: 0.9892). …”
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Assessing the impact of building footprint dataset choice for health programme planning: a case study of indoor residual spraying (IRS) in Zambia by Heather R. Chamberlain, Derek Pollard, Anna Winters, Silvia Renn, Olena Borkovska, Chisenga Abel Musuka, Garikai Membele, Attila N. Lazar, Andrew J. Tatem

“…In this study, we quantify the impact of utilising four different building footprint datasets in analyses to support health programme planning, with an example of malaria vector control initiatives in Zambia. Methods Using the example of planning indoor residual spraying (IRS) campaigns in Zambia, we identify priority locations for deployment of this intervention based on criteria related to the area, proximity and counts of building footprints per settlement. …”
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“Between Heaven and Earth”: A.N. Tolstoy’s Fiction of 1918–1919 by Galina N. Vorontsova

“…As a rule, this is due both to external circumstances and the artist’s reaction to them, his internal feeling of the need to change the paradigm of his further development. In the work of A.N. Tolstoy one of such periods was the era of the Russian Revolution of 1917 and, in particular, the first revolutionary years, which are characterized by artistic experiments of the writer, allowing to talk about a definitely new vector of his searches. …”
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Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease by Priyadharsini C, Asnath Victy Phamila Y

“…Globally, a substantial population is at risk of vision impairment, prompting researchers to investigate methods for efficient classification. Methods: This work experimented one hundred and forty-four different hybrid architectures amalgamating each of the eight convolutional neural architectures (VGG, EfficientNet, Inception, ResNet, NasNet, DenseNet, InceptionResNet, Xception) with seven classifiers (Logistic regression, K-Nearest Neighbours, Support Vector Classifier, Decision Tree, Bagging classifier, Random Forest, Adaptive Boosting, Light Gradient Boost and Extra tree classifier). …”
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The Persistent Threat of Chronic Inflammation on the Mortality Among Cervical Cancer Survivors: A Mendelian Randomization and Machine Learning Analysis Using UK Biobank and Chinese... by Wang J, Chen Z, Guan M, Ma Z, Peng L, Chen J, Fiori PL, Carru C, Capobianco G, Coradduzza D, Zhou L

“…Following the Shapley Additive explanations (SHAP), the lymphocyte monocyte ratio, neutrophil count, platelet count, and platelet lymphocyte ratio were associated with 1-year OS, while the systemic immune-inflammation index, platelet neutrophil ratio, and monocyte count were significantly related to 5-year OS.Conclusion: No substantial causal associations were observed between CIMs and cervical cancer. …”
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Fast and robust strain signal processing for aircraft structural health monitoring by Cong Wang, Xin Tan, Xiaobin Ren, Xuelong Li

“…By taking the generated step count vectors and labels as an input, a discriminative neural network is proposed to realize automatic signal discrimination. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The study concludes that while convolutional neural networks offer robust classification capabilities, optimized handcrafted features remain a viable and cost-effective alternative, particularly when the data count is limited. This work contributes to advancing automated diagnostic systems by balancing accuracy, efficiency, and interpretability.…”
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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

“…Text was preprocessed and then vectorized using CountVectorizer (CV), term frequency‐inverse document frequency, and Word2Vec. …”
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HEMOSTIMULATING PROPERTIES OF THE CONJUGATES OF GRANULOCYTE-MACROPHAGE COLONY STIMULATING FACTOR WITH ALENDRONIC ACID by G. G. Shimina, A. V. Bateneva, E. S. Tsyplenkova, S. G. Gamaley, T. I. Esina, E. A. Volosnikova, E. D. Danilenko

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PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process by Bhupinder Kaur, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim

“…This work suggests an improved algorithm combining a refinement procedure with particle swarm optimization, called DVHOP-PSO. …”
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Presenting a prediction model for HELLP syndrome through data mining by Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori

“…Abstract Background The HELLP syndrome represents three complications: hemolysis, elevated liver enzymes, and low platelet count. Since the causes and pathogenesis of HELLP syndrome are not yet fully known and well understood, distinguishing it from other pregnancy-related disorders is complicated. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…For that purpose, this current work presents a new and efficient solution to detecting and spotting spurious news on social media. …”
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