The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…Finally, we compare the performance of our proposed DNN model with other machine learning algorithms, such as Random Forest and Support Vector Machines, demonstrating superior predictive accuracy. …”
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Leveraging LIME for Trustworthy Apple Quality Assessment by İsmail Kırbaş, Ahmet Çifci

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A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…As a result, this method improves understanding of meteorological conditions, which act as accurate forecasters of rainfall outcomes and can help to develop accurate decision-support systems. The study also conducts a thorough assessment of prediction performance of various ML and deep learning (DL) techniques such as Classification and Regression Trees (CART), Support Vector Machine (SVM) and Dense Neural Networks (DNN).The findings show that the models using only the important meteorological features in the dataset perform better than using all the features. …”
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Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA by Manar Alassaf, Ali Mustafa Qamar

“…As further evidence, one-way ANOVA with Support Vector Machine represented an excellent combination across different Arabic benchmark datasets, with its results outperforming other studies.…”
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Understanding the Borderline Brain: A Review of Neurobiological Findings in Borderline Personality Disorder (BPD) by Eleni Giannoulis, Christos Nousis, Ioanna-Jonida Sula, Maria-Evangelia Georgitsi, Ioannis Malogiannis

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Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare by Kamini Lamba, Shalli Rani, Mohammad Shabaz

“…To overcome this, an explainable hybrid framework has been proposed that integrates DenseNet201 for deep feature extraction with a Support Vector Machine (SVM) classifier for robust binary classification. …”
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A comprehensive review of AI-based brain-computer interface with prefrontal cortex and sensory-motor rhythms systemization for rehabilitation by Anna Latha M, Ramesh R

“…Key findings: The results show that the random forest classifier is more suitable for eye state classification, achieving an accuracy up to 99.80 %, and support vector machine classification provides a higher accuracy of 100 % for MI conditions. …”
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Five models and ten predictors for energy costs on farms in the European Union by Martinho Vítor João Pereira Domingues

“…The linear support vector machine, regression, random forest, random trees, and the classification and regression tree are the most accurate models. …”
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Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM by Danita Divka Sajmira, Khothibul Umam, Maya Rini Handayani

“…A key issue addressed is the discrepancy between numerical ratings and the sentiment conveyed in review texts, which may lead to inconsistent labeling. The study employs a machine learning technique, Support Vector Machine (SVM), coupled with two distinct labeling methods: manual labeling based on IMDb ratings, and automatic labeling using the lexicon-driven VADER tool. …”
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Predictive modeling for rework detection in sustainable building projects by AbdulLateef Olanrewaju, Kafayat Shobowale

“…Feature scaling and normalisation were performed across the dataset to standardise the features. Six machine learning models that comprised support vector machine, Adaboost, Logistic regression, a K-nearest neighbour, neural network and random forest classifier were trained to predict the occurrence of reworks in sustainable buildings. …”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application by Roman Rodriguez-Aguilar, Jose-Antonio Marmolejo-Saucedo, Utku Köse

“…Artificial intelligence (AI) has already played a significant role in the healthcare sector, particularly in image-based medical diagnosis. …”
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Applying Canny edge detection and Hough transform algorithms to identify irrigation channel boundaries in irrigation districts by LU Hongfei, MAO Hanyu, ZHOU Hao, ZHEN Bo, ZHONG Yao, YANG Bo

“…【Objective】Airborne technologies have been increasingly used in agricultural sectors for various purposes. In this paper, we developed a fast algorithm for accurately detecting irrigation channel boundaries to support intelligent water resource management in irrigation districts. …”
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A high-resolution multi-scale industrial water use dataset in China by Meng Li, Yuan Tong, Junming Zhu, Shuntian Xu

“…This high-resolution multi-scale dataset offers unparalleled details, supporting multi-scale analysis at the province, city, and county levels, and across 2-digit, 3-digit, and 4-digit industrial classifications. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“… Artificial Intelligence AI has transformed various sectors with healthcare and particularly dentistry emerging as key beneficiaries. …”
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Quality failures in Energy- saving renovation projects in Northern China by Yuting Qi

“… The building sector contributes to about one-third of the total energy consumption worldwide (Liu, Li, et al. 2020). …”
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