Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms
Abstract Generative Artificial Intelligence (AI) models serve as powerful tools for
organizations aiming to integrate advanced data analysis and automation into their …
organizations aiming to integrate advanced data analysis and automation into their …
Cyber resilience framework for online retail using explainable deep learning approaches and blockchain-based consensus protocol
Online retail platforms encounter numerous challenges, such as cyber-attacks, data
breaches, device failures, and operational disruptions. These challenges have intensified in …
breaches, device failures, and operational disruptions. These challenges have intensified in …
[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review
A Zaoui, D Tchuente, SF Wamba… - Journal of Engineering …, 2024 - Elsevier
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
[PDF][PDF] The Role of Explainable AI in Building Trustworthy Machine Learning Systems
VSK Koppisetti - ESP International Journal of Advancements in …, 2024 - espjournals.org
The field of Explainable Artificial Intelligence (XAI) is one of the pivotal phases that is under
Intelligent AI and Machine Learning (ML) research and development. The absence of …
Intelligent AI and Machine Learning (ML) research and development. The absence of …
Energy Performance of Building Refurbishments: Predictive and Prescriptive AI-based Machine Learning Approaches
The energy performance (EP) of buildings is critical for European governments to meet their
decarbonization targets by 2050. In the context of European Union (EU) policies, which …
decarbonization targets by 2050. In the context of European Union (EU) policies, which …
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes
This article introduces LogicLSTM, a hybrid neuro-symbolic model obtained by logically
guiding a pretrained Long Short-Term Memory (LSTM) network with the support of a …
guiding a pretrained Long Short-Term Memory (LSTM) network with the support of a …
[HTML][HTML] Detecting coagulation time in cheese making by means of computer vision and machine learning techniques
Cheese production, a globally cherished culinary tradition, faces challenges in ensuring
consistent product quality and production efficiency. The critical phase of determining cutting …
consistent product quality and production efficiency. The critical phase of determining cutting …
Model-agnostic knowledge graph embedding explanations for recommender systems
Explanations in recommender systems play an essential role in enhancing transparency,
trust, and persuasiveness. In that regard, Knowledge Graphs (KGs) model-agnostic …
trust, and persuasiveness. In that regard, Knowledge Graphs (KGs) model-agnostic …
Real Estate Automated Valuation Model with Explainable Artificial Intelligence Based on Shapley Values
D Tchuente - The Journal of Real Estate Finance and Economics, 2024 - Springer
The literature on the use of machine learning (ML) models for the estimation of real estate
prices is increasing at a high rate. However, the black-box nature of the proposed models …
prices is increasing at a high rate. However, the black-box nature of the proposed models …
Prototype-based learning for real estate valuation: a machine learning model that explains prices
JA Rodriguez-Serrano - Annals of Operations Research, 2024 - Springer
The systematic prediction of real estate prices is a foundational block in the operations of
many firms and has individual, societal and policy implications. In the past, a vast amount of …
many firms and has individual, societal and policy implications. In the past, a vast amount of …