Using Machine Learning to evaluate Industry 4.0 Maturity: A comprehensive analysis highlighting Lean's impact on Digital Transformation by Oussama Ben Ali

“…Leveraging advanced machine learning techniques, including data analysis, prediction, and recommendations. …”
Get full text

Case Study on Analysis of Soil Compression Index Prediction Performance Using Linear and Regularized Linear Machine Learning Models (In Korea) by Seungyeon Ryu, Jin Kim, Hyoyeop Choi, Jongyoung Lee, Junggeun Han

“…This approach enabled an analysis of how geotechnical and hydrogeological characteristics affect the performance of machine learning models. …”
Get full text

A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides by Nitin Kumar Chauhan, Krishna Singh, Amit Kumar, Ashutosh Mishra, Sachin Kumar Gupta, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…Deep models that have been pre-trained and tailored through transfer learning and fine-tuning become faster and more effective, even when data is scarce. …”
Get full text

Improved deep learning method and high-resolution reanalysis model-based intelligent marine navigation by Zeguo Zhang, Zeguo Zhang, Zeguo Zhang, Liang Cao, Liang Cao, Liang Cao, Jianchuan Yin, Jianchuan Yin, Jianchuan Yin

“…We propose IPCA-MHA-DSRU-Net, a novel deep learning model integrating incremental principal component analysis (IPCA) with a spatial-temporal depthwise separable U-Net. …”
Get full text

A Techno-Economic Analysis of Power Generation in Wind Power Plants Through Deep Learning: A Case Study of Türkiye by Ziya Demirkol, Faruk Dayi, Aylin Erdoğdu, Ahmet Yanik, Ayhan Benek

Get full text

Households Vulnerable to Energy Poverty in the Visegrad Group Countries: An Analysis of Socio-Economic Factors Using a Machine Learning Approach by Urszula Grzybowska, Agnieszka Wojewódzka-Wiewiórska, Gintarė Vaznonienė, Hanna Dudek

Get full text

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis by Menghui He, Zhongsheng Lu, Yiwei Lv, Zihai Cheng, Qiang Zhang, Xiaoqing Jin, Pei Han

“…This study compared the predictive efficacy of multiple machine learning models to identify the optimal model for forecasting long-term prognosis in HICH patients.MethodsWe conducted a retrospective analysis of clinical data from 807 HICH patients admitted to Qinghai Provincial People's Hospital's Neurosurgery Department between June 2020 and June 2024. …”
Get full text

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…Missing data was imputed using mean and median. Data preprocessing involved feature scaling and one-hot encoding. …”
Get full text

Using machine learning for mortality prediction and risk stratification in atezolizumab‐treated cancer patients: Integrative analysis of eight clinical trials by Yougen Wu, Wenyu Zhu, Jing Wang, Lvwen Liu, Wei Zhang, Yang Wang, Jindong Shi, Ju Xia, Yuting Gu, Qingqing Qian, Yang Hong

“…Our aim was to build a machine learning‐based risk stratification model for predicting mortality in atezolizumab‐treated cancer patients. …”
Get full text

Graph-based machine learning for high-resolution assessment of pedestrian-weighted exposure to air pollution by Feifeng Jiang, Jun Ma

Get full text

Advancing Brain Tumor Analysis: Current Trends, Key Challenges, and Perspectives in Deep Learning-Based Brain MRI Tumor Diagnosis by Namya Musthafa, Qurban A. Memon, Mohammad M. Masud

“…Recent years have witnessed remarkable progress in brain tumor detection, classification, and progression analysis using MRI data, largely fueled by advancements in deep learning (DL) models and the growing availability of comprehensive datasets. …”
Get full text

THE COMPARATIVE ANALYSIS OF LEARNING OUTCOMES USING NORM-REFERENCED TEST (NRT) AND CRITERION-REFERENCED TEST (CRT) IN THE SUBJECT OF ISLAMIC EDUCATION by Herman Darmawan

Get full text

Multi-omics analysis identifies SNP-associated immune-related signatures by integrating Mendelian randomization and machine learning in hepatocellular carcinoma by Qingyan Kou, Zhichao Wu, Wenbin Zhao, Zhenyuan Liu, Shengxian Qiao, Qiang Mu, Xu Zhang

“…Machine learning analysis was performed on the genes identified through Mendelian randomization (MR) and survival association analysis, using 101 algorithms to construct a robust prognostic model. …”
Get full text

Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development by Giorgio Checola, Damiano Moser, Paolo Sonego, Cristian Iob, Franco Micheli, Pietro Franceschi

Get full text

Driving Motivation in Irish Language Learning: An analysis of variation in post-primary pupil attitudes to Irish in the Growing Up in Ireland study by Emily Barnes, Joe Condon, Ann Devitt, Noel Ó Murchadha

“…Using data from over 7000 students surveyed at two time points, the findings suggest that young people’s attitudes to learning Irish remain relatively stable over time, from primary to post-primary.  …”
Get full text

Explaining the challenges faced by nursing students in clinical learning environments during the post-COVID era: a qualitative content analysis by Zeinab Jokar, Mostafa Bijani, Hajar Haghshenas

“…Data analysis was conducted using the qualitative content analysis method proposed by Graneheim and Lundman (2004). …”
Get full text

Analysis of Students' Numeracy Literacy Ability in Solving Three Variable Linear Equation System (SPLTV) Problems Based on Learning Styles by Alfiyah Fitriyani, Trisna Roy Pradipta

Get full text

A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving by Emmanouel T. Michailidis, Antigoni Panagiotopoulou, Andreas Papadakis

“…Concurrently, recent advancements in machine learning (ML) have further expanded the capabilities of OBD-II applications, unlocking advanced, intelligent, and data-centric functionalities that significantly surpass those of conventional methodologies. …”
Get full text

An information theoretic limit to data amplification by S J Watts, L Crow

Get full text

The impact of talent management towards digital leadership competencies through learning organization: an exploratory analysis in state-owned enterprises in Indonesia by Tonda Priyanto, Agus Heruanto Hadna, Indrayanti, Muhadjir Darwin

Get full text