[HTML][HTML] Ethical perspective on AI hazards to humans: A review

C Chen, Z Chen, W Luo, Y Xu, S Yang, G Yang… - Medicine, 2023 - journals.lww.com
This article explores the potential ethical hazards of artificial intelligence (AI) on society from
an ethical perspective. We introduce the development and application of AI, emphasizing its …

[HTML][HTML] Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)

MK Hooshmand, MD Huchaiah, AR Alzighaibi… - Alexandria Engineering …, 2024 - Elsevier
Abstract Intrusion Detection Systems, specifically Network Anomaly Detection Systems
(NADSs) are vital tools in network security. The NADSs are affected by data imbalance …

[HTML][HTML] A Sequential Hybrid Optimization Algorithm (SHOA) to Solve the Hybrid Flow Shop Scheduling Problems to Minimize Carbon Footprint

M Geetha, R Chandra Guru Sekar, MK Marichelvam… - Processes, 2024 - mdpi.com
In today's world, a situational awareness of sustainability is becoming increasingly
important. Leaving a better world for future generations is becoming the main interest of …

[HTML][HTML] Introducing User Feedback-Based Counterfactual Explanations (UFCE)

M Suffian, JM Alonso-Moral, A Bogliolo - International Journal of …, 2024 - Springer
Abstract Machine learning models are widely used in real-world applications. However, their
complexity makes it often challenging to interpret the rationale behind their decisions …

[HTML][HTML] Advanced Anomaly Detection in Manufacturing Processes: Leveraging Feature Value Analysis for Normalizing Anomalous Data

S Kim, H Seo, EC Lee - Electronics, 2024 - mdpi.com
In the realm of manufacturing processes, equipment failures can result in substantial
financial losses and pose significant safety hazards. Consequently, prior research has …

Enhancing Going Concern Prediction with Anchor Explainable AI and Attention-Weighted XGBoost

P Thanathamathee, S Sawangarreerak… - IEEE …, 2024 - ieeexplore.ieee.org
In the rapidly evolving sector of financial analytics, predicting a firm's going concern status
accurately is vital for informed user decisions. This study introduces a novel method that …

Power Consumption and Processing Time Estimation of CNC Machines Using Explainable Artificial Intelligence (XAI)

S Thapaliya, OF Valilai, H Wicaksono - Procedia Computer Science, 2024 - Elsevier
Due to environmental issues such as climate change, companies are required to optimize
their resource and energy consumption in their production process. Predicting power …

Effect of AI on the Financial Sector: Risk Control, Investment Decision-making, and Business Outcome

S Maurya, R Verma, L Khilnani… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
The impact of Artificial Intelligence (AI) in the capital market (displaying for test purposes, risk
the board, decision-making as it connects with investments, moral issues and the law). It …

[PDF][PDF] Tecniche di Machine Learning applicate alla previsione delle crisi finanziarie

D AGACHI MENNA - 2022 - tesi.univpm.it
Le crisi bancarie1 del 2007-2008 hanno avuto un impatto significativo sull'economia interna
dei paesi inizialmente coinvolti, per poi diffondersi a livello globale. La loro identificazione …