An efficient smart data mining framework based cloud internet of things for developing artificial intelligence of marketing information analysis

Y Liu, IR Alzahrani, RA Jaleel, S Al Sulaie - Information Processing & …, 2023 - Elsevier
Because of the big volume of marketing data, a human analyst would be unable to uncover
any useful information for marketing that could aid in the process of making decision. Smart …

A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data

J Akhavan, J Lyu, S Manoochehri - Journal of Intelligent Manufacturing, 2024 - Springer
This work presents an in-situ quality assessment and improvement technique using point
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …

Comparison of ML/DL approaches for detecting DDoS attacks in SDN

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
Software-defined networking (SDN) presents novel security and privacy risks, including
distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning …

Deep hybrid learning for facial expression binary classifications and predictions

RK Mishra, S Urolagin, JAA Jothi, P Gaur - Image and Vision Computing, 2022 - Elsevier
Image processing is a technique used for applying different operations to an image to
produce an improved image or extract relevant information. Image processing has multiple …

Advancing additive manufacturing through deep learning: A comprehensive review of current progress and future challenges

AI Saimon, E Yangue, X Yue, C Liu - arXiv preprint arXiv:2403.00669, 2024 - arxiv.org
Additive manufacturing (AM) has already proved itself to be the potential alternative to
widely-used subtractive manufacturing due to its extraordinary capacity of manufacturing …

Classification of cardiac disorders using weighted visibility graph features from ECG signals

G Kutluana, İ Türker - Biomedical Signal Processing and Control, 2024 - Elsevier
As universal expressions to describe complex systems, graphs are increasingly preferred as
a representation method in artificial intelligence. Visibility graphs enable converting time …

Examining the potential of generative language models for aviation safety analysis: Case study and insights using the aviation safety reporting system (asrs)

A Tikayat Ray, AP Bhat, RT White, VM Nguyen… - Aerospace, 2023 - mdpi.com
This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

[HTML][HTML] Application of machine learning to assess people's perception of household energy in the developing world: A case of Nepal

U Bhattarai, T Maraseni, LP Devkota, A Apan - Energy and AI, 2023 - Elsevier
Research on social aspects of energy and those applying machine learning (ML) is limited
compared to the 'hard'disciplines such as science and engineering. We aim to contribute to …

A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns

J Mao, Y Zhu, M Chen, G Chen, C Yan, D Liu - Advanced Engineering …, 2023 - Elsevier
Contradictions caused by the various design constraints present increasing challenges to
efficiency and innovation in product development. TRIZ provides Inventive Principles (IPs) …

Improving clothing product quality and reducing waste based on consumer review using RoBERTa and BERTopic language model

A Alamsyah, ND Girawan - Big Data and Cognitive Computing, 2023 - mdpi.com
The disposability of clothing has emerged as a critical concern, precipitating waste
accumulation due to product quality degradation. Such consequences exert significant …