Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

“…This paper presents a comparative analysis of various clustering methods for deriving consumer electricity profiles, aiming to identify the most suitable techniques for big time-series data and to evaluate how the granularity of the data influences the final profiles. …”
Get full text

Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

“…Understanding consumer behaviour is essential in today's fiercely competitive and constantly evolving market. Our study aims to highlight the significant impact of consumer behaviour on marketing data through the innovative application of recommender systems supported by state-of-the-art machine learning and data analysis techniques. …”
Get full text

Enhancing strategic decision-making in built asset management through BIM-Enabled asset information modelling (AIM) for public buildings in Ethiopia: A fuzzy-AHP analysis by Muluken Tilahun Desbalo, Asregedew Kassa Woldesenbet

“…BIM-Enabled Asset Information Modelling (AIM) entails incorporating extensive data, known as big data, into digital platforms for informed decision-making. …”
Get full text

Analytical techniques and software for the study of intragroup metric variation using principal component analysis by Andrej Alexeevich Evteev, Nikolai Evgenievich Staroverov, Nikolai Nikolaevich Potrakhov

“…Potential applications of these techniques and software are not restricted to cranial measurements but can be used for exploring any type of continuously varying data. …”
Get full text

Determining the minimum data elements to develop a child malnutrition registry system by Malihe Sadeghi, Mostafa Langarizadeh, Beheshteh Olang, Mohammadjavad Sayadi, Abbas Sheikhtaheri

“…Then, the extracted data elements were validated using an expert panel and Delphi technique. …”
Get full text

Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

Get full text

Stock Data Analysis by Machine Learning Techniques to Improve Predictive Model-ing and Decision-Making in Financial Markets by Rasool F. Jader, Mudhafar Haji M. Abd

Get full text

An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques by Ireneusz Czarnowski, Piotr Jędrzejowicz

“…The discussed approach focuses on combining several techniques including stacking, rotation, and data reduction aimed at improving the performance of the machine classification. …”
Get full text

A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…The process unfolds with data collection, followed by rigorous standardization, preprocessing, and cleansing of demand and generation data. …”
Get full text

Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research by Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, Junzo Watada

“…These recommendations aim to overcome the challenges associated with deep learning-based anomaly detection in multivariate time-series data.…”
Get full text

A secure IoT-edge architecture with data-driven AI techniques for early detection of cyber threats in healthcare by Mamta Kumari, Mahendra Gaikwad, Salim A. Chavan

“…The suggested intrusion detection technique employs machine learning algorithms, where real-time data from the St. …”
Get full text

Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt by Ahmed Elbeltagi, Dinesh Kumar Vishwakarma, Okan Mert Katipoğlu, Kallem Sushanth, Salim Heddam, Bhaskar Pratap Singh, Abhishek Shukla, Vinay Kumar Gautam, Chaitanya Baliram Pande, Saddam Hussain, Subhankar Ghosh, Hossein Dehghanisanij, Ali Salem

Get full text

Textual similarity for legal precedents discovery: Assessing the performance of machine learning techniques in an administrative court by Hugo Mentzingen, Nuno António, Fernando Bacao, Marcio Cunha

Get full text

A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Abstract Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity. …”
Get full text

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

“…It addresses the challenges posed by the high dimensionality and noise of microarray data, aiming to integrate the strengths and limitations of various methods while exploring their applicability across different scenarios. …”
Get full text

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

“…In addition to managing high-dimensional data, creating incremental and online clustering techniques, and investigating deep learning-based algorithms, the study suggests future research areas. …”
Get full text

Protein sequence classification using natural language processing techniques by Huma Perveen, Julie Weeds

“…Abstract Purpose This study aimed to enhance protein sequence classification using natural language processing (NLP) techniques while addressing the impact of sequence similarity on model performance. …”
Get full text

Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

Get full text

Water Meter Reading Based on Text Recognition Techniques and Deep Learning by Bay Nguyen van, Anh Nguyen, Kiet Tran-Trung, Thien Ho Huong, Ha Duong Thi Hong, Hau Nguyen Trung, Vinh Truong Hoang

Get full text

Heuristic XAI: AIME and HMM Integration Improved-Feature-Importance Assessment Through Heuristics by Takafumi Nakanishi, Ponlawat Chophuk, Krisana Chinnasarn

“…However, existing XAI techniques often overlook the effects of multicollinearity in data, limiting their accuracy. …”
Get full text