A Big-Data-Driven Framework for Parking Demand Estimation in Urban Central Districts by Yunlin Guan, Yun Wang, Xuedong Yan, Haonan Guo, Yu Zhou

“…Owing to limited data sources and simplified models, most of the previous research estimates the parking demand without consideration for the relationship between parking demand, land use, and traffic attributes, thereby causing a lack of accuracy. …”
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The Transition To Artificial Intelligence -Based Solutions For Improving Energy Efficiency In Urban Environments by Ikram MENAI, Hana SALAH SALAH, Sara KHELIL, Amina AIDAOUI, Fatima Zahra DJOUAD

“…It addresses issues such as data privacy, algorithmic biases and the need for transparent decision-making processes. …”
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Acoustic Emission-Based Small Leak Detection of Propulsion System Pipeline of Sounding Rocket by Lin Gao, Lili Dong, Jianguo Cao, Shaofeng Wang, Wenjing Liu

“…Based on acoustic emission (AE) techniques, this paper presents an experimental research on small leak detection in gas distribution pipelines due to loosening of the pipe joint connection. …”
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Topology Identification Method for Active Distribution Network Based on Weighted Minimum Absolute Value State Estimation by Guang MA, Wen ZHU, Huijie GU, Huashi ZHAO, Xiqi HE, Shijie CHEN

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Natural Language Processing Techniques for Information Retrieval Enhancing Search Engines with Semantic Understanding by S Subi, B Shanthini, M SilpaRaj, K Shekar, G Keerthana, R Anitha

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Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review by Md. Sabbir Hossain, Mostafijur Rahman, Ashifur Rahman, Md. Mohsin Kabir, M. F. Mridha, Jie Huang, Jungpil Shin

“…We synthesized recent advancements and research findings on the integration of Global Positioning System (GPS), machine learning algorithms, and sensor technologies in agricultural machinery. …”
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State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis by Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti

“…Finally, it highlights current trends and proposes directions for future research to further advance the responsible, explainable, and fair application of AI in medical imaging.…”
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Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Sy... by Michela Sperti, Camilla Cardaci, Francesco Bruno, Syed Taimoor Hussain Shah, Konstantinos Panagiotopoulos, Karim Kassem, Giuseppe De Nisco, Umberto Morbiducci, Raffaele Piccolo, Francesco Burzotta, Fabrizio D’Ascenzo, Marco Agostino Deriu, Claudio Chiastra

“…Machine learning algorithms, trained on labelled datasets, have demonstrated robust classification of various plaque types. …”
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Unveiling ammonia-induced cell death: a new frontier in clear cell renal cell carcinoma prognosis by Peize Yu, Peize Yu, Qikai Zhong, Qikai Zhong, Xinlei Wang, Xinlei Wang, Yifang Liu, Qiang Liu, Qiang Liu, Yuqiang Zhang, Jiawei Lu, Yang Dong, Cong-hui Han, Cong-hui Han

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Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data» by Ievgen A. Nastenko, Maksym O. Honcharuk, Vitalii O. Babenko, Mykola I. Lynnyk, Viktoria I. Ignatieva, Vitalii A. Yachnyk

“…The use of different classification algorithms had little effect on classification accuracy, probably due to the informational content of the input data. …”
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Predictive value of the stone-free rate after percutaneous nephrolithotomy based on multiple machine learning models by Zhao Rong Liu, Zhao Rong Liu, Zhan Jiang Yu, Jie Zhou, Jian Biao Huang

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‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion by Manash Sarma, Subarna Chatterjee

“…When assessed with GSE3061 test data, the model achieved optimal AUC scores of 0.81, 0.75, and 0.78, and F1 scores of 0.74, 0.67, and 0.73.This research identified MAPK14, MID1, TEP1, PLG, DRAXIN, USP47 as genes associated with AD. …”
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Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis by Lijuan Yi, Ting Shuai, Jingjing Zhou, Liang Cheng, Maria F. Jiménez-Herrera, Xu Tian

“…Eight machine learning algorithms were applied to predict compassion fatigue, with performance assessed through cross-validation, calibration, and discrimination metrics. …”
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Relationship of Neutrophil Percentage‐to‐Albumin Ratio With Stroke: Evidence From NHANES 1999–2020 by Shuying Xu, Yiyan Sun, Siyao Zhang, Yongjun Peng, Dechun Dai, Leiyong Zhao

“…ABSTRACT Objective The objective of this research is to examine the association between neutrophil percentage‐to‐albumin ratio (NPAR) and stroke, providing a reference for the prevention and prognosis of clinical stroke. …”
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Machine learning for predicting resistance spot weld quality in automotive manufacturing by Nuttapong Chuenmee, Nattachai Phothi, Kontorn Chamniprasart, Sorada Khaengkarn, Jiraphon Srisertpol

“…The research highlights that the proposed methodology, particularly leveraging XGBoost, achieves a notable prediction accuracy of 97.1% when applied to unseen data.…”
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The Use of BIM Models and Drone Flyover Data in Building Energy Efficiency Analysis by Agata Muchla, Małgorzata Kurcjusz, Maja Sutkowska, Raquel Burgos-Bayo, Eugeniusz Koda, Anna Stefańska

“…The paper examines methodologies for combining thermal imaging with BIM, including image analysis algorithms and artificial intelligence applications. …”
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Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population by Duo Zhang, Laurette Dubé, Antonia Gieschen, Catherine Paquet, Raja Sengupta

“…This study integrates customer loyalty program data with a synthetic population to analyze grocery shopping behaviours in Montreal. Using clustering algorithms, we classify 295,631 loyalty program members into seven distinct consumer segments based on behavioural and sociodemographic attributes. …”
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USING ARTIFICIAL INTELLIGENCE IN OBSTETRICS TO DIAGNOSE FETAL MALFORMATIONS AND PREVENT DISEASES by Елена Валерьевна Литвинова, Оксана Владимировна Носкова

“…The effectiveness of using artificial intelligence and various algorithms based on it to improve the analysis of two-dimensional (2D) and three-dimensional (3D) ultrasound images of fetal structures, assessment of organ function and diagnosis of diseases was proved. …”
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NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models by I. Aydin, U. G. Sefercik

“…In the literature, RGB camera-based NDVI prediction studies involving machine learning and deep learning algorithms have focused on the correlation of the results with the reference data (R²) or the model accuracy of the algorithms used. …”
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Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method by Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG

“…Specifically, the success rate of obstacle avoidance in dynamic environments increased by 35% compared to traditional algorithms and by 10% compared to improved algorithms. …”
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