Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market

H Jodlbauer, S Tripathi, N Bachmann… - Expert Systems with …, 2024 - Elsevier
Market segmentation is crucial for companies to recognise the distribution of products in the
market and to identify'unexploited'segments that hold the potential for new products not yet …

Optimizing compressive strength prediction using adversarial learning and hybrid regularization

T Aziz, H Aziz, S Mahapakulchai… - Scientific Reports, 2024 - nature.com
The infrastructure industry consumes natural resources and produces construction waste,
which has a detrimental impact on the environment. To mitigate these adverse effects and …

A Multiscale study of flexible customer's energy demand under smart grid architecture: A modeling and simulation study

A Abassi, M El Jai, A Arid, H Ben-azza - Energy Efficiency, 2024 - Springer
In the context of an energy crisis, efficient energy management has become an unavoidable
issue for sustainability, regardless of the domain under consideration. Smart grids are no …

Delamination and thrust force analysis in GLARE: Influence of tool geometry and prediction with machine learning models

E Ekici, İ Pazarkaya, G Uzun - Journal of Composite …, 2024 - journals.sagepub.com
The multi-layered (fiber/metal) structure of glass fibre aluminium reinforced epoxy (GLARE)
makes it difficult to obtain acceptable damage-free holes that meet aerospace standards …

Basketball self-evaluation matrix: discrepancy between self-confidence and decision-making performance on psychological profiling of players

M Liu, A Kong, N Lau, Z Feng, X Liu - Frontiers in Sports and Active …, 2024 - frontiersin.org
Background In basketball training, self-evaluation plays a crucial role in the decision-making
and execution of movements of players. The self-evaluation of players is influenced by their …

[HTML][HTML] Novel Cost-Effective and Portable Three-Dimensional Force Measurement System for Biomechanical Analysis: A Reliability and Validity Study

L Hao, C Yin, X Duan, Z Wang, M Zhang - Sensors, 2024 - mdpi.com
The application of dynamic data in biomechanics is crucial; traditional laboratory-level force
measurement systems are precise, but they are costly and limited to fixed environments. To …

Dimensionless Parameters for Waveform Characterization of Acoustic Emission Signals: Application to Sedimentation and Soil Compression Experiments

E Castro, G García-Ros, DX Villalva-León… - Symmetry, 2023 - mdpi.com
Acoustic Emission (AE) is a non-destructive evaluation method that uses transient elastic
waves produced by the sudden release of mechanical energy in a material or structure. This …

Geometry-Inference Based Clustering Heuristic: New k-means Metric for Gaussian Data and Experimental Proof of Concept

MZ El Khattabi, M El Jai, Y Lahmadi… - Operations Research …, 2024 - Springer
K-means is one of the algorithms that are most utilized in data clustering; the number of
metrics is coupled to k-means to reach reasonable levels of clusters' compactness and …

Ecosystem Services Trade-Offs in the Chaohu Lake Basin Based on Land-Use Scenario Simulations

A Jin, G Zhang, P Ma, X Wang - Land, 2024 - search.proquest.com
Amid global environmental degradation, understanding the spatiotemporal dynamics and
trade-offs of ecosystem services (ESs) under varying land-use scenarios is critical for …

Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output

HK Lian, K Waiyamai, S Konstantinos… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Discriminative Dimension Selection (DDS) has emerged as a powerful tool for identifying the
most relevant features in high-dimensional datasets, enabling interpretable data analysis …