Einstein Aggregation Operator Technique for Linguistic q-Rung Orthopair Fuzzy Hypersoft Set With Application to Sustainable Construction Industry by Muhammad Saqlain, Harish Garg, Wiyada Kumam, Rana Muhammad Zulqarnain

Get full text

Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

“…A pilot study involving three PBH patients collected real-time glucose data to validate the system’s predictive performance. …”
Get full text

An artificial intelligence approach for prognosis of COVID-19 course in hospitalized patients by T. L. Karonova, I. N. Korsakov, A. A. Mikhailova, D. I. Lagutina, A. T. Chernikova, М. A. Vashukova, M. A. Smolnikova, D. A. Gusev, A. O. Konradi, E. V. Shlyakhto

Get full text

Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

Get full text

Development of an algorithm for optimizing the implementation of ultrasound in the diagnostic workflow in clinical practice: preliminary phase of the RADIAL study, a project of the... by Garifallia Sakellariou, Antonella Adinolfi, Joao Madruga Dias, Arianna Damiani, Greta Carrara, Carlo Alberto Scirè, Alberto Batticciotto, Manuela Costa, Emilio Filippucci, Francesco Porta, Marco Canzoni, Annamaria Iagnocco, Georgios Filippou

Get full text

Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries by Mequannent Sharew Melaku, Lamrot Yohannes, Berhanu Sharew, Mintesnot Hawaz Derseh, Eliyas Addisu Taye

“…Data cleaning, weighting, and descriptive statistical analyses were conducted using STATA version 17 and Excel 2019, while machine learning analysis was performed using Python 3.12. Furthermore, Random Forest, eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), Naïve Bayes, Decision Tree, Logistic Regression, and Adaptive Boosting (AdaBoost) were employed to predict informed contraceptive choice and to identify its predictors. …”
Get full text

Innovative Study on Volatility Prediction Model for New Energy Stock Indices by Yanguo Li, Chao Long

“…To address this, this paper proposes a deep learning ensemble model based on decomposition optimization for predicting the volatility of new energy stock indices. The model comprises three components: variational mode decomposition (VMD), sparrow search algorithm (SSA), and echo state network (ESN). …”
Get full text

Optimizing Stack-Yard Positioning in Full Shoreline Loading Operations by Xueqiang Du, Bencheng Luo, Jing Wang, Jieting Zhao, Dahai Li, Qian Sun, Haobin Li

Get full text

An Optimization Model with “Perfect Rationality” for Expert Weight Determination in MAGDM by Yuetong Liu, Chaolang Hu, Shiquan Zhang, Qixiao Hu

Get full text

Fast and fair split computing for accelerating deep neural network (DNN) inference by Dongju Cha, Jaewook Lee, Daeyoung Jung, Sangheon Pack

Get full text

Machine Learning-Based Approaches and Comparisons for Estimating Missing Meteorological Data and Determining the Optimum Data Set in Nuclear Energy Applications by Fatih Topaloglu

“…The first motivation of the study was to define the estimation of missing data in the meteorological data set and its usability in the nuclear energy industry by using Machine Learning (ML)-based Linear Regression (LR), Decision Trees (DT) and Random Forest (RF) algorithms. …”
Get full text

A Novel Approach for Improving Cloud Liquid Water Content Profiling with Machine Learning by Anas Amaireh, Yan (Rockee) Zhang, Pak Wai Chan, Dusan Zrnic

Get full text

A Hybrid Mathematical Framework for Dynamic Incident Prioritization Using Fuzzy Q-Learning and Text Analytics by Arturo Peralta, José A. Olivas, Pedro Navarro-Illana, Juan Alvarado

Get full text

Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

Get full text

Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

Get full text

On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

Get full text

Simplified Novel Approach for Accurate Employee Churn Categorization using MCDM, De-Pareto Principle Approach, and Machine Learning by Faisal Bin Al Abid, Aryati Binti Bakri, Md. Golam Rabiul Alam, Jia Uddin, Shefayatuj Johara Chowdhury

“…The Random Forest ML algorithm in SNEC scheme has similar or slightly better overall accuracy and MCC with significant less time complexity compared with that of ECPR scheme using CATBOOST algorithm. …”
Get full text

Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

Get full text

Assessment of air purifiers for improving the air quality index using circular intuitionistic fuzzy Heronian means by Fengyu Guo, Raiha Imran, Shi Yin, Kifayat Ullah, Maria Akram, Dragan Pamucar, Mustafa Elashiry

Get full text

Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization by Amir Mohamed Talib, Areen Metib Al-Hgaish, Rodziah Binti Atan, Abdulaziz Alshammari, Fahad Omar Alomary, Razali Yaakob, Abdulaziz Alsahli, Mohd Hafeez Osman

Get full text