Evolution, topics and relevant research methodologies in business intelligence and data analysis in the academic management of higher education institutions. A literature review by M. Correa-Peralta, J. Vinueza-Martínez, L. Castillo-Heredia

“…Learning analytics, educational data mining, and BI applications such as dropout prediction systems, tailored distance education strategies, and machine learning models for institutional performance predominate in the field. …”
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Graph-based fault diagnosis for rotating machinery: Adaptive segmentation and structural feature integration by Moirangthem Tiken Singh

“…Each segment is modeled as a graph, extracting structural features such as average shortest path length, modularity, and spectral gap. …”
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Investigating the hydrogen renaissance in the global energy transition with AI integration by Abderrahim Lakhouit

“…AI plays a pivotal role in optimizing hydrogen production methods, such as electrolysis, by enhancing process efficiencies through machine learning models that predict and optimize operational parameters. …”
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Accuracy of genome-enabled polygenic risk score prediction of cruciate ligament rupture risk in the Labrador Retriever by Benjamin Miranda, Mehdi Momen, Susannah J. Sample, Peter Muir

“…The goal of this study was to evaluate the clinical utility of CR polygenic risk score (PRS) prediction models using genome-wide SNP data from a large reference population of Labrador Retriever dogs.MethodsUsing 10-fold cross-validation and an independent validation population, we assessed Bayesian and machine learning models with and without covariates using both genome-wide SNPs as well as genic SNPs. …”
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Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions by Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Peijin Zeng, Peijin Zeng, Peijin Zeng, Xinyue Li, Kelvin Kam-Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan

“…A Bidirectional Encoder Representations from Transformers (BERT) machine learning model was employed for text classification to differentiate urgent from non-urgent cases. …”
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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

“…By integrating these features, the study aims to optimize predictive modeling of TPMS. Empirically, the research achieved 97.92% accuracy using the local weighted learning (LWL) algorithm, demonstrating the effectiveness of combined statistical, histogram, and ARMA features in enhancing TPMS predictive capabilities.…”
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DCDC PUF an enhanced implementation of ring oscillator based PUF by Leen Younes, Enas Abulibdeh, Baker Mohammad, Hani Saleh, Mahmoud Al-Qutayri

“…Moreover, the system exhibits higher resiliency against machine learning-based modeling attacks, as evidenced by a prediction accuracy of 50.5% in comparison to the 67.1% reported in the stand alone employed PUF implementation.…”
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Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions by Swati Singh, Lana L. Narine, Janna R. Willoughby, Lori G. Eckhardt

“…This review identifies key knowledge gaps and highlights the need for further research to optimize RS-based methodologies, refine predictive models, and develop early warning systems for improved forest management.…”
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Inverse Kinematics for Robotic Manipulators via Deep Neural Networks: Experiments and Results by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…The performance of these models is compared, with a focus on curriculum learning to optimize training. …”
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Miniaturized Near-Infrared Analyzer for Quantitative Detection of Trace Water in Ethylene Glycol by Qunling Luo, Zhiqiang Guo, Danping Lin, Boxue Chang, Yinlan Ruan

“…To address the limitations of a traditional Fourier-transform infrared (FTIR) spectrometer, including its bulky size, high cost, and unsuitability for on-site industrial detection, this study developed a Fourier-transform near-infrared (FT-NIR) absorption testing system utilizing Micro-Electro-Mechanical System (MEMS) technology for detecting trace water content in ethylene glycol. The modeling performances of three algorithms including Support Vector Machine Regression (SVMR), Principal Component Regression (PCR), and Partial Least Squares Regression (PLSR) were systematically evaluated, with PLSR identified as the optimal algorithm. …”
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Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array by Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi

“…The device is characterized to identify several hand gestures and tasks while simultaneously using an optical camera‐based hand‐tracking system to estimate the joint locations for ground truth generation. Machine learning models are developed to predict gestures as well as specific hand joint angles with high accuracy of >90% and >95%, respectively. …”
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Artificial Intelligence Driving Innovation in Textile Defect Detection by Ahmet Ozek, Mine Seckin, Pinar Demircioglu, Ismail Bogrekci

“…Recent advancements in artificial intelligence (AI)—encompassing computer vision, image processing, and machine learning—have transformed defect detection, delivering improved accuracy, speed, and reliability. …”
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A City-scale and Harmonized Dataset for Global Electric Vehicle Charging Demand Analysis by Zihan Guo, Linlin You, Rui Zhu, Yan Zhang, Chau Yuen

“…Technical validation shows the potential of CHARGED to support in-depth characterization of user charging demand, and to impel the study of more advanced machine learning models, especially those enabling transfer learning across diverse urban contexts.…”
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A Systematic Review of CNN Architectures, Databases, Performance Metrics, and Applications in Face Recognition by Andisani Nemavhola, Colin Chibaya, Serestina Viriri

“…In contrast, earlier models like Support Vector Machine (SVM) and Gabor Wavelets perform well on smaller datasets but lack scalability for larger, more complex datasets. …”
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AI-driven innovation and entrepreneurship education: a K-means clustering approach for Chinese university students by Hongshun Zhang

“…The results support the integration of clustering models into educational planning, allowing universities to optimize curriculum delivery and better prepare students for participation in innovation-oriented economies.…”
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Identifying the Geographical Origin of Wolfberry Using Near-Infrared Spectroscopy and Stacking-Orthogonal Linear Discriminant Analysis by Shijie Song, Xiaohong Wu, Mingyu Li, Bin Wu

“…In this study, Savitzky–Golay (SG) + Multiplicative Scatter Correction (MSC) served as the optimal preprocessing method. Four classifiers—K-Nearest Neighbors (KNN), Decision Tree, Support Vector Machine (SVM), and Naive Bayes—were used to explore 12 stacked combinations on 400 samples from five regions in Gansu: Zhangye, Yumen, Wuwei, Baiyin, and Dunhuang. …”
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SARS-CoV-2 Prediction Strategy Based on Classification Algorithms from a Full Blood Examination by C. F. Choukhan, I. Lasri, R. El Hatimi, M. R. Lemnaouar, M. Esghir

“…The aim of this study was to train and optimize the support vector machine (SVM) and K-nearest neighbors (KNN) classifiers to rapidly identify SARS-CoV-2 (positive/negative) patients through a simple complete blood test without any prior knowledge of the patient’s health state or symptoms. …”
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Deeper Effects of fiscal multidimensional poverty reduction: household characteristics, financial lags and elite capture. by Wenjie Jiang, Hong Yang, Chunyu Liu

“…Based on provincial fiscal and financial data as well as data from the China Family Panel Studies (CFPS), this article employs multilevel linear regression and structural equation modeling to empirically examine the impact and mechanisms of fiscal investment in agriculture on multidimensional relative poverty among farmers. …”
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Research on the mechanism of the two-dimensional ultrasonic surface burnishing process to enhance the wear resistance for aluminum alloy by Zhen-Yu Zhou, Qiu-Yang Zheng, Yu Li, Cong Ding, Guang-Jian Peng, Zhong-Yu Piao

“…Abstract The gradient nanostructure is machined on the aluminum (Al) alloy by the two-dimensional ultrasonic surface burnishing process (2D-USBP). …”
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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

“…Radiomic features were extracted from intratumoral and peritumoral regions of interest and analyzed using machine learning algorithms to develop a predictive classifier. …”
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