Heart disease prediction using autoencoder and DenseNet architecture by Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat

“…Heart disease continues to be a prominent cause of death globally, emphasizing the critical requirement for precise prediction techniques and prompt therapies. This research presents a new method that utilizes the collective capabilities of autoencoder and DenseNet architectures to predict heart illness. …”
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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…By applying the MLP method, the study successfully established an efficient pregnancy risk prediction model. …”
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Liver Segment Disposition of Hepatocellular Carcinoma Predicts Microvascular Invasion by Arnold Nongmoh Forlemu, Raissa Nana Sede Mbakop, Praneeth Bandaru, Vijay Gayam, Hamsika Moparty, Tomoki Sempokuya, Faruq Pradhan, Madhavi Reddy, Marco Olivera

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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

“…The framework involves identifying the critical emission sources and their primary contribution sectors using the LASSO regression method, predicting the CO _2 emissions of critical sources using recurrent neural networks, and exploring mitigation schemes using scenario analysis. …”
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Suicide risk prediction for Korean adolescents based on machine learning by Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao

“…Both the Expert Consultation Method (ECM) and Random Forest-Based Filter Feature Selection (RFFS) datasets revealed that the GBM model achieved the best results, with a predictive accuracy (ACC) of 88%, sensitivity (SENS) of 97%, specificity (SPEC) of 26%, positive predictive value (PPV) of 90%, negative predictive value (NPV) of 56%, and an area under the curve (AUC) of 83%. …”
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Advancing student outcome predictions through generative adversarial networks by Helia Farhood, Ibrahim Joudah, Amin Beheshti, Samuel Muller

“…Employing Feedforward Neural Networks, Convolutional Neural Networks, and Gradient-boosted Neural Networks, and using Bayesian optimisation for hyperparameter tuning, this research methodically examines the impact of synthetic data on prediction accuracy. …”
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Analysis of the Grid Sampling Method for Noise Mapping by Valentın GÓMEZ ESCOBAR, Juan Miguel BARRIGÓN MORILLAS, Guillermo REY GOZALO, Rosendo VILCHEZ-GÓMEZ, Javier CARMONA del RIO, Juan A. MENDEZ SIERRA

“…The present work is an analysis of the grid method for evaluating noise, firstly in the city of C´aceres and, secondly in two other smaller towns. …”
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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

“…The article provides a computational method for evaluating one of the most important functional indicators of tractors, namely, the level of impact of its wheels on the soil, using limited initial information: technical characteristics and operational documentation of the manufacturer. …”
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Hot Topics and Directions of Human Resource Analytics Based on a Hybrid Method (Bibliometric Analysis, Fuzzy Delphi Method and SWARA) by Mona Kardani Malekinezhad, Fariborz Rahimnia, GHasem Eslami, Mohammad Mahdi Farahi

“…Therefore, the present study utilized a hybrid method based on bibliometric analysis (co-word analysis), Fuzzy Delphi, and SWARA (Step-Wise Weight Assessment Ratio Analysis) and evaluated 87 articles from the Scopus database. …”
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Machine-learning synergy in high-entropy alloys: A review by Sally Elkatatny, Walaa Abd-Elaziem, Tamer A. Sebaey, Moustafa A. Darwish, Atef Hamada

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Ultrasonographic and Radiographic Evaluation of Osteoarthritic Changes in the Temporomandibular Joint by Didem Dumanlı, Çiğdem Şeker

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Evaluation of Salivary Antibodies to Detect Infection with Helicobacter pylori by Mark B Loeb, Robert H Riddell, Cindy James, Richard Hunt, Fiona M Smaill

“…Salivary IgG antibody tests to detect H pylori infection offer a convenient and noninvasive method of diagnosis. To evaluate an IgG salivary antibody kit, saliva was collected from 157 out-patients with dyspepsia referred for endoscopy to a tertiary centre. …”
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An efficient method for network security situation assessment by Xiaoling Tao, Kaichuan Kong, Feng Zhao, Siyan Cheng, Sufang Wang

“…Thus, network security situational assessment can provide accurate security state evaluation and security trend prediction for users. …”
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An Improved Method for TOC Calculation in Lacustrine Sediments by GUAN Qianqian, JIANG Long, CHENG Ziyan, ZHANG Diandong, ZHANG Fan

“…The traditional ΔlogR method is suitable for shale oil reservoirs under Marine sedimentary background, but the method is limited, and it is urgent to find a suitable evaluation technology for TOC of shale oil under lacustrine background. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…The results demonstrate that the acceleration efficiency of the CMFD method aligns with the phenomena predicted by the Fourier analysis in cylindrical geometry. …”

Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability by Emily Diaz Badilla, Ignasi Cos, Claudio Sampieri, Berta Alegre, Isabel Vilaseca, Simone Balocco, Petia Radeva

“…This study aims to provide a comprehensive method based on pre-treatment clinical data for predicting the patient’s HPV status over a large OPSCC patient cohort and employing explainability techniques to interpret the significance and effects of the features. …”
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A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning by Ziba Arjmandzadeh, Mohammad Hossein Abbasi, Hanchen Wang, Jiangfeng Zhang, Bin Xu

“…The proposed LO model is benchmarked against two conventional methods: model predictive control and a sampling-based approach. …”
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Data-Driven Insights into Concrete Flow and Strength: Advancing Smart Material Design Using Machine Learning Strategies by Muwaffaq Alqurashi

“…Concrete plays a pivotal role in modern methods of construction due to its enhanced strength, durability, and adaptability to advanced building technologies. …”
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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…Rapid, non-destructive, and precise evaluation of meat quality has thus emerged as a significant area of interest in recent years. …”
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Cord Direct Antiglobulin Test for Predicting the Need for Phototherapy in Neonates with ABO Incompatibility: A Prospective Cohort Study by Ranjith Balan, Sakthipriya Balaji, Arun Kumar, Subash Sundar, Shrinidhi Krishnan, Ashok Chandrasekaran

“…The adjusted odds ratio of positive DAT for both methods in predicting the requirement for phototherapy was 3.21 (95% CI 2.1-5.8). …”
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