A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…Big data analytics enables the analysis of historical data, seasonal patterns and market trends for better decision making (Xiang, 2017). …”
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Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Ma... by Lin Luo, Junfeng Yuan, Chen Xu, Huilin Xu, Haojie Tan, Yinhao Shi, Haiping Zhang, Haijun Xi

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Klasifikasi Metode Data Mining untuk Prediksi Kelulusan Tepat Waktu Mahasiswa dengan Algoritma Naïve Bayes, Random Forest, Support Vector Machine (SVM) dan Artificial Neural Nerwor... by Satrio Junaidi, Rani Valicia Anggela, Delsi Kariman

“…So, to deal with this problem, data mining classification is carried out to predict student graduation on time to find patterns for student on-time graduation predictions. …”
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Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer... by Changzhi Sun, Shijie Huang, Banghui Sun, Shiwei Chu

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Review of Control Techniques for Dual Three-phase PMSM Drives with Low Carrier Ratios by Minrui Gu, Zheng Wang, Ming Cheng, Weifeng Su, Linyue Shang, Po Liu

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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

“…Moreover, the study applied classical texture-based feature extraction methods, namely Local Binary Patterns (LBP) and Gray-Level Co-occurrence Matrix (GLCM), processing each Red Green Blue (RGB) channel separately using an offset [0 1] and recombining them to create comprehensive texture descriptors. …”
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Identification of PRKCQ-AS1 as a Keratinocyte-Derived Exosomal lncRNA That Promotes Th17 Differentiation and IL-17 secretion in Psoriasis Through Bioinformatics, Machine L... by Gao P, Gao X, Lin L, Zhang M, Luo D, Chen C, Li Y, He Y, Liu X, Shi C, Yang R

“…This study investigates key exosomal ncRNAs regulating the Th17/IL-17 axis in psoriasis and their mechanisms.Methods: We integrated bulk RNA sequencing datasets from the GEO database to construct and evaluate exosome-related patterns. Subsequently, exosome-related ncRNAs in psoriasis lesions were identified primarily through weighted gene co-expression network analysis and five machine learning algorithms. …”
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AI4Food Project: Application of Personalised Nutrition Integrating Artificial Intelligence in Nutritional Interventions Focused on Weight Loss by Isabel Espinosa-Salinas, Gala Freixer, Sergio Romero-Tapiador, Blanca Lacruz Pleguezuelos, Ruben Tolosana, Javier Ortega-Garcia, Enrique Carrillo-De Santa Pau

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A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism by S. KanagaSuba Raja

“…A profile for the card users based on their behavior is created by employing a machine learning technique in the second phase extraction of a precise communicative pattern for the card users depending upon the accumulated transactions and the user's earlier transactions. …”
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Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression by Zhao‐Yue Zhang, Zi‐Jie Sun, Dong Gao, Yu‐Duo Hao, Hao Lin, Fen Liu

“…Using incremental feature selection, the authors refined the selected gene set and constructed a machine‐learning model for PDAC recognition. As a result, the approach identified 10 RDC gene pairs. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…A particle swarm optimization support vector machine (PSO-SVM) algorithm is utilized to classify motion patterns. …”
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Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete by Celal Cakiroglu, Tanvir Hassan Tusher, Md. Shahjalal, Kamrul Islam, AHM Muntasir Billah, Moncef L. Nehdi

“…Prior investigations have solely concentrated on bond strength, resulting in a limited comprehension of the bond failure pattern. Considering the increasing significance of sustainable construction methods, it is crucial to examine both the failure pattern and bond strength to expand the versatility of RCA in various reinforced concrete structures. …”
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Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

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Arsenic health risk in shallow groundwater of the alluvial plains in the lower Yellow River, China: driving mechanisms of climate change and human activities by Wengeng Cao, Yu Fu, Yu Ren, Xiangzhi Li, Yanyan Wang, Le Song

“…Comprehensive analysis shows that hydrogeological conditions, human activities, and climate change work together to shape the distribution pattern of high-arsenic groundwater in the lower Yellow River. …”
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Algorithms and Methods for Individual Source Camera Identification: A Survey by Jaroslaw Bernacki, Rafal Scherer

“…It discusses approaches based on matrix noise analysis, including methods utilizing sensor pattern noise, photo response non-uniformity, statistical methods, aberrations analysis, as well as modern techniques based on deep neural networks and machine learning. …”
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A bikeshare station area typology to forecast the station-level ridership of system expansion by Steven R. Gehrke, Timothy F. Welch

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THE INTEGRATION OF AI IN DOCTORAL-LEVEL RESEARCH by Alexander Ștefan POPA

“…The research calls for clear guidelines to separate human creativity from machine input, especially in the context of academic writing. …”
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Contribution of El Niño Southern Oscillation (ENSO) Diversity to Low‐Frequency Changes in ENSO Variance by Jakob Schlör, Felix Strnad, Antonietta Capotondi, Bedartha Goswami

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Text Select-Backdoor: Selective Backdoor Attack for Text Recognition Systems by Hyun Kwon, Jang-Woon Baek

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Polytrauma: Definition of the Problem and Management Strategy (Review) by A. A. Prokazyuk, M. A. Zhanaspaev, S. K. Aubakirova, A. S. Musabekov, A. S. Tlemisov

“…The use of artificial intelligence and machine learning, which have been employed for more specific goals (predicting mortality and several common complications), seems reasonable for planning the management strategy in the «controversial» groups. …”
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