[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
Interpretability research of deep learning: A literature survey
B Xua, G Yang - Information Fusion, 2024 - Elsevier
Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
[PDF][PDF] Machine learning software for optimizing SME social media marketing campaigns
In today's digital era, social media has become an indispensable tool for businesses of all
sizes. For small and medium-sized enterprises (SMEs), social media marketing presents a …
sizes. For small and medium-sized enterprises (SMEs), social media marketing presents a …
The role of AI in marketing personalization: A theoretical exploration of consumer engagement strategies
This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing
marketing strategies. It delves into the theoretical underpinnings of consumer engagement …
marketing strategies. It delves into the theoretical underpinnings of consumer engagement …
Agile methodologies in digital banking: Theoretical underpinnings and implications for customer satisfaction
This paper delves into the theoretical underpinnings of agile methodologies and
investigates their potential to enhance customer satisfaction in digital banking. Theoretical …
investigates their potential to enhance customer satisfaction in digital banking. Theoretical …
Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Explainable artificial intelligence (XAI) in finance: a systematic literature review
J Černevičienė, A Kabašinskas - Artificial Intelligence Review, 2024 - Springer
As the range of decisions made by Artificial Intelligence (AI) expands, the need for
Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific …
Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific …
Facilitating topic modeling in tourism research: Comprehensive comparison of new AI technologies
In the past few years, a new crop of transformer-based language models such as Google's
BERT and OpenAI's ChatGPT has become increasingly popular in text analysis, owing their …
BERT and OpenAI's ChatGPT has become increasingly popular in text analysis, owing their …
[PDF][PDF] Data-driven decision-making in healthcare: Improving patient outcomes through predictive modeling
This review paper explores the transformative role of data-driven decision-making in
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
[HTML][HTML] DaSAM: Disease and spatial attention module-based explainable model for brain tumor detection
Brain tumors are the result of irregular development of cells. It is a major cause of adult
demise worldwide. Several deaths can be avoided with early brain tumor detection …
demise worldwide. Several deaths can be avoided with early brain tumor detection …