[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

[HTML][HTML] A framework of measures to mitigate greenhouse gas emissions in freight transport: systematic literature review from a Manufacturer's perspective

P Miklautsch, M Woschank - Journal of Cleaner Production, 2022 - Elsevier
The publication of the sixth assessment report of the IPCC finally cleared out voices
mentioning that the increase in surface temperature of the last 100 years was not man-made …

Artificial intelligence in supply chain and operations management: a multiple case study research

VG Cannas, MP Ciano, M Saltalamacchia… - International Journal of …, 2024 - Taylor & Francis
Artificial intelligence (AI) is increasingly considered a source of competitive advantage in
operations and supply chain management (OSCM). However, many organisations still …

[HTML][HTML] Technology readiness and the organizational journey towards AI adoption: An empirical study

V Uren, JS Edwards - International Journal of Information Management, 2023 - Elsevier
Artificial Intelligence (AI) is viewed as having potential for significant economic and social
impact. However, its history of boom and bust cycles can make potential adopters wary. A …

Emotion recognition from unimodal to multimodal analysis: A review

K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources () in our () daily lives () brings up new
alternatives () for emotion recognition in several domains including e-health, e-learning …

[HTML][HTML] Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Z Fan, Z Yan, S Wen - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

An investigation of skill requirements in artificial intelligence and machine learning job advertisements

A Verma, K Lamsal, P Verma - Industry and Higher …, 2022 - journals.sagepub.com
Due to the advent of big data and efficient computational resources, artificial intelligence (AI)
and machine learning (ML) have seen massive growth in recent years. Informatics degree …

[PDF][PDF] A quantum approximate optimization algorithm based on blockchain heuristic approach for scalable and secure smart logistics systems

AE Azzaoui, TW Kim, Y Pan, JH Park - Human-centric Computing and …, 2021 - hcisj.com
Smart logistics and supply chain play can determine the success or failure of any business.
The cost, time, and carbon footprint are critical elements to be considered. Smart logistics …

[HTML][HTML] Artificial intelligence and sensor technologies in dairy livestock export: charting a digital transformation

S Neethirajan - Sensors, 2023 - mdpi.com
This technical note critically evaluates the transformative potential of Artificial Intelligence
(AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus …

[HTML][HTML] A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector

M Nacchia, F Fruggiero, A Lambiase, K Bruton - Applied Sciences, 2021 - mdpi.com
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …