Realisation of an Application Specific Multispectral Snapshot-Imaging System Based on Multi-Aperture-Technology and Multispectral Machine Learning Loops by Lennard Wunsch, Martin Hubold, Rico Nestler, Gunther Notni

“…We focus on spectral system modeling, data analysis, and machine learning to build a universally usable multispectral loop to find the best sensor configuration. …”
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Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

“…Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. …”
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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…This research presents a comparative analysis of two machine learning methodologies—Improved Group Method of Data Handling (GMDH) and Artificial Neural Network (ANN)—for modelling vehicular traffic flow on a six-lane freeway. …”
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

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Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis by Omer Bafail

“…This study investigates the critical factors influencing smart city program success through a comprehensive data-driven analysis of 140 urban centers. Advanced machine learning techniques, specifically random forest algorithms, in conjunction with regression analysis, were employed to examine the correlations between 45 distinct attributes and respective smart city rankings. …”
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Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models by Phong Nguyen Duc, Thang Tang Duc, Giap Pham Van, Hoat Nguyen Van, Tuan Tran Minh

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Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study by Eleanor Van Vogt, Anthony C. Gordon, Karla Diaz-Ordaz, Suzie Cro

“…Conclusions The causal forest agreed with the data-adaptive and classical method of subgroup analysis in identifying HTE by serum potassium. …”
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Analysis of Students’ Learning Motivation: Psychometric Parameters Study of Learning English Courses in the Business Travel Department by M Bambang Purwanto, Umar, Moch. Malik Al Firdaus

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A latent profile analysis for teacher education students’ learning: an overview of competencies in self-regulated learning by Janina Schel, Barbara Drechsel

“…This study aims to investigate the competencies and developmental potentials (currently low-developed areas that hold the potential for improvement) of these students’ self-regulated learning processes.MethodsData from N = 240 teacher education students regarding the preaction, action, and postaction parameters of the self-regulated learning process were analyzed.ResultsThrough latent profile analysis (LPA), five self-regulated learning profiles were extracted and labeled as follows: process-oriented competent, preaction-volitional competent, action-cognitive competent, repetitive-low reflective, and avoiding-unreflective. …”
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ANALYSIS OF MULTILITERACY-BASED INQUIRY LEARNING VS. GUIDED DISCOVERY: IMPACT ON INDONESIAN HISTORY LEARNING OUTCOMES by Djakariah Djakariah, Jakub Saddam Akbar

“…The instruments used were initial knowledge tests and Indonesian History learning outcomes tests. Data were analyzed using a two-way analysis of variance. …”
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An Analysis of Students’ Experience in Using English Learning Application “myON” in Helping Students’ English Learning Process by Fasya Putri Radhiyya, Nazwa Aulia, Syifa Shabrina, Hairunnisa Aulia Putri, Bambang Nur Alamsyah Lubis

“…Data analysis include the utilization of narrative methodologies to effectively and accurately summarize and depict the outcomes of questionnaires, which are derived from the experiences of students. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…Integrated with a self-supervised contrastive learning objective, this approach empowers our model to extract knowledge from unlabeled data and achieve enhanced comprehension of nuanced emotional cues. …”
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A Hybrid Deep Learning-Machine Learning Stacking Model for Yemeni Arabic Dialect Sentiment Analysis by Alaa Abdulkareem Hameed Brihi, Mossa Ghurab

“…We systematically evaluate sentiment analysis approaches, including lexicon-based, machine learning, deep learning, and hybrid, in terms of user sentiment regarding Yemeni telecom services. …”
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Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment by Hadja Fatima Tbahriti, Ali Boukadoum, Meriem Benbernou, Mohamed Belhocine

“…Traditional diagnosis and prognosis heavily rely on clinical examination and histological investigation, both of which are subjective and time-consuming. advances in machine learning (ML) and deep learning (DL) have largely accelerated the research of GBMs by enhancing tumour segmentation, molecular characterization and survival prediction. …”
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Intercultural Attitudes Embedded in Microblogging: Sentiment and Content Analyses of Data from Sina Weibo by Xiaotian Zhang

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Cognitive diagnostic analysis of mathematics key competencies based on PISA data. by Yi Zhang, Baixiang Zhao, Min Jian, Xiaopeng Wu

“…Taking the PISA 2012 dataset in mathematics from Shanghai, Hong Kong, Macau and Taiwan as the research subject, this study constructed a cognitive model with the attributes of Mathematical Abstraction, Logical Reasoning, Mathematical Modeling, Intuitive Imagination, Mathematical Operation and Data Analysis, and made an analysis of the mastery of students' mathematical competencies of different attributes in four regions, and the learning paths of the students' mathematical competencies were constructed. …”
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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing by Zhenyu Wang, Weixing Xu, Yida Liu, Beibei Liu, Ling Zhu

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Corrigendum: Exploring the impact of HDL and LMNA gene expression on immunotherapy outcomes in NSCLC: a comprehensive analysis using clinical & gene data by Jingru Li, Jingting Wang, Bangwei Cao

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Predicting electricity supply and demand curves with functional data techniques by Zehang Li, Andrés M. Alonso, Lorenzo Pascual

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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling unprecedented access to high-throughput microbiome data. However, the inherent high dimensionality, noise, and variability of microbiome data present substantial obstacles to conventional statistical methods and machine learning techniques. …”
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