Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …
also result in research challenges due to the heterogeneous data types, enormous volume …
A systematic review of the research trends of machine learning in supply chain management
Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …
yielded an enormous amount of publications during the last two decades. However, in the …
[HTML][HTML] A survey of machine learning techniques for indoor localization and navigation systems
P Roy, C Chowdhury - Journal of Intelligent & Robotic Systems, 2021 - Springer
In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …
Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model
Abstract Radio Frequency Identification (RFID) technology has significantly improved in the
past few years and is presently sought for implementation in the identification and …
past few years and is presently sought for implementation in the identification and …
Big data analytics for large-scale wireless networks: Challenges and opportunities
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey
Cloud and Fog computing has emerged as a promising paradigm for the Internet of things
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
AI-enabled enterprise information systems for manufacturing
M Zdravković, H Panetto… - Enterprise Information …, 2022 - Taylor & Francis
ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …
carries out review of AI applications integrated in Customer Relationship Management …
Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda
C Smyth, D Dennehy, S Fosso Wamba… - … Journal of Production …, 2024 - Taylor & Francis
Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …
[HTML][HTML] Utilizing random Forest with iForest-based outlier detection and SMOTE to detect movement and direction of RFID tags
In recent years, radio frequency identification (RFID) technology has been utilized to monitor
product movements within a supply chain in real time. By utilizing RFID technology, the …
product movements within a supply chain in real time. By utilizing RFID technology, the …
[HTML][HTML] Yapay zeka ve makine öğrenmesi tekniklerinin lojistik sektöründe kullanımı
Lojistik sektörü dünyada ve Türkiye'de giderek büyümekte ve sektörün potansiyeli zamanla
daha iyi anlaşılmaktadır. Lojistik sektörünün gelişime oldukça açık olduğu, teknoloji ile …
daha iyi anlaşılmaktadır. Lojistik sektörünün gelişime oldukça açık olduğu, teknoloji ile …