Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…ObjectiveThis study aims to conduct a scoping review of preprocessing techniques used on raw wearable sensor data in cancer care, specifically focusing on methods implemented to ensure their readiness for artificial intelligence and machine learning (AI/ML) applications. …”
Get full text

Regression with right-censored high-dimensional data: An application with different imputation techniques by Ersin Yılmaz, Dursun Aydın, S. Ejaz Ahmed

“… This study aims to introduce two modified linear estimators for the right-censored high-dimensional data. …”
Get full text

Advances in modeling cellular state dynamics: integrating omics data and predictive techniques by Sungwon Jung

“…We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions. …”
Get full text

Utilization of Data Mining Techniques in SIMPUS towards Smart Library at IAIN Kendari by Samrin, Badarwan, Raehang, Obaid Moh. Yahya, Syahrul

“…This study aims to analyze the application of data mining techniques in SIMPUS at IAIN Kendari, in order to improve the efficiency of library management and provide smarter services to users. …”
Get full text

Performance prediction using educational data mining techniques: a comparative study by Yaosheng Lou, Kimberly F. Colvin

“…Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can effectively analyze students’ demographic information, learning processes, and other contextual factors to predict academic outcomes. …”
Get full text

Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

“…In distributed machine learning, data shuffling is a crucial data preprocessing technique that significantly impacts the efficiency and performance of model training. …”
Get full text

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review by Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao, S Kannadhasan, M Suganya

“…In this paper, we contribute with a systematic literature review of state-of-the-art data-mining techniques for predictive maintenance with emphasis on hybrid AI frameworks, deep learning and online data processing approaches, as well as, privacy-aware methods. …”
Get full text

An expert survey on chamber measurement techniques and data handling procedures for methane fluxes by K. Jentzsch, K. Jentzsch, L. van Delden, M. Fuchs, C. C. Treat, C. C. Treat

“…Therefore, we aimed to identify the key discrepancies between the measurement and data handling procedures implemented for chamber methane fluxes by different researchers.…”
Get full text

Exploring the Intersection of Machine Learning and Big Data: A Survey by Elias Dritsas, Maria Trigka

“…The insights presented in this paper aim to guide future research and contribute to the ongoing discourse on the responsible integration of ML and big data.…”
Get full text

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions by Deepak Ranga, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar, Athanasios V. Vasilakos

“…Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques in Quantum Machine Learning (QML) while highlighting their significance in transforming classical data into quantum systems. …”
Get full text

Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Besides, this research aims to investigate the feasibility that employs data mining framework together with optimization algorithms as approaches towards plant diseases identification and categorization systems. …”
Get full text

Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques by Padala Raja Shekar, Aneesh Mathew

Get full text

Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

“…To address this issue, this study presents data-driven modeling of EV charging sessions based on machine learning (ML) techniques. …”
Get full text

VGOS Dual Linear Polarization Data Processing Techniques Applied to Differential Observation of Satellites by Jiangying Gan, Fengchun Shu, Xuan He, Yidan Huang, Fengxian Tong, Yan Sun

Get full text

MUTFER2024: A new dataset for South African emotion recognitionMendeley DataGithub repository by Rogerant Tshibangu, Jules R Tapamo

Get full text

THE ROLE OF DATA VISUALIZATION IN ENHANCING TEXTUAL ANALYSIS by P. Milev

“…PURPOSE: The article aims to explore the integral role of data visualization in enhancing textual analysis, elucidating its current applications, ethical implications, challenges, and future trends. …”
Get full text

OLAP Techniques for Approximation and Mining Query Answering by Murtadaha Hamd, Waleed Hassan

“…The aim of the research are design a prototype of a SALES Data Warehouse (SALESDW) by adding and implementing the essential concepts , and implementing the OLAP techniques ( tools) on SALESDW.…”
Get full text

Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques by Walid Theib Mohammad, Ronza Teete, Heyam Al-Aaraj, Yousef Saleh Yousef Rubbai, Majd Mowafaq Arabyat

“…However, these advances must be combined with the availability of resources and the easy operability of the technique. This study is aimed at distinguishing and classifying benign and malignant cells, which are tumor types, from the data on the Wisconsin Diagnostic Breast Cancer (WDBC) dataset by applying data mining classification and clustering techniques with the help of the Weka tool. …”
Get full text

Correction of TRMM 3B43 Monthly Precipitation Data Using Quantile Regression Model in the Urmia Lake Basin by Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoobzadeh, khadijeh Javan

Get full text

Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

Get full text