Nanoscale molecular layers for memory devices: challenges and opportunities for commercialization

R Gupta, P Jash, PC Mondal - Journal of Materials Chemistry C, 2021 - pubs.rsc.org
The modern era of digital computing systems is deeply embedded around memory devices,
which store an ocean of information accessible by an electronic gadget. Such electronic …

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks

DC Corrales, A Ledezma, JC Corrales - Applied soft computing, 2020 - Elsevier
Abstract Recently, advances in Information Technologies (social networks, mobile
applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …

A fuzzy logic model for hourly electrical power demand modeling

MA Islas, JJ Rubio, S Muñiz, G Ochoa, J Pacheco… - Electronics, 2021 - mdpi.com
In this article, a fuzzy logic model is proposed for more precise hourly electrical power
demand modeling in New England. The issue that exists when considering hourly electrical …

Data readiness report

S Afzal, C Rajmohan, M Kesarwani… - … conference on smart …, 2021 - ieeexplore.ieee.org
Data exploration and quality analysis is an important yet tedious process in the AI pipeline.
Current data cleaning and data readiness assessment practices for machine learning tasks …

Multi-dimensional data preparation: A process to support vulnerability analysis and climate change adaptation

ID López, A Figueroa, JC Corrales - IEEE Access, 2020 - ieeexplore.ieee.org
Agriculture is the backbone of a country's economic system, considering that it not only
provides food and raw materials but also employment opportunities for a large percentage of …

Advanced classification of coffee beans with fatty acids profiling to block information loss

YC Hung, P Chen, LY Chen - Symmetry, 2018 - mdpi.com
Classification is a kernel process in the standardization, grading, and sensory aspects of
coffee industries. The chemometric data of fatty acids and crude fat are used to characterize …

A framework for improving data quality in data warehouse: A case study

TZ Ali, TM Abdelaziz, AM Maatuk… - 2020 21st International …, 2020 - ieeexplore.ieee.org
Nowadays, the development of data warehouses shows the importance of data quality in
business success. Data warehouse projects fail for many reasons, one of which is the low …

Flexible Techniques to Detect Typical Hidden Errors in Large Longitudinal Datasets

R Bruni, C Daraio, S Di Leo - Symmetry, 2024 - mdpi.com
The increasing availability of longitudinal data (repeated numerical observations of the
same units at different times) requires the development of flexible techniques to …

Analisis Perbandingan Optimasi berbasis Evolutionary pada Algoritma Klasifikasi Penentuan Profile Resiko Nasabah

A Arifyan - Techno. Com, 2022 - publikasi.dinus.ac.id
Penelitian ini mengungkapkan bagaimana pentingnya penanganan deteksi profile nasabah
untuk meminimalisir terjadinya penyalahgunaan akun nasabah. Kebutuhan akan nasabah …

[PDF][PDF] Lean database: an interdisciplinary perspective combining lean thinking and technology.

J Razmak, S Al-Janabi, FF Kharbat, CH Bélanger - Int. Arab J. Inf. Technol., 2021 - iajit.org
The continuous improvement approach is key to achieve a sustainable competitive
advantage for organizations in their business processes. Nowadays, organizational …