[HTML][HTML] IoT anomaly detection methods and applications: A survey

A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

Blockchain technology applications in waste management: Overview, challenges and opportunities

P Jiang, L Zhang, S You, Y Van Fan, RR Tan… - Journal of Cleaner …, 2023 - Elsevier
Rapid population growth and urbanisation have accelerated waste generation, and effective
waste management has become a major challenge worldwide. With advances in technology …

A dynamic approach for the multi-compartment vehicle routing problem in waste management

M Mohammadi, G Rahmanifar… - … and Sustainable Energy …, 2023 - Elsevier
Urban areas worldwide face a significant environmental challenge which is increasing
municipal solid waste rate. Addressing its negative consequences necessitates …

Federated learning for privacy-preserving: A review of PII data analysis in Fintech

B Dash, P Sharma, A Ali - International Journal of Software …, 2022 - papers.ssrn.com
There has been tremendous growth in the field of AI and machine learning. The
developments across these fields have resulted in a considerable increase in other FinTech …

A systematic and critical review of Internet of Things in contemporary hospitality: a roadmap and avenues for future research

Z Elkhwesky, EFY Elkhwesky - International Journal of Contemporary …, 2022 - emerald.com
Purpose Internet of Things (IoT) is a key enabler of big data and it is critical toward a new
age of firm's architecture and proper decision-making for the industry. IoT adoption by the …

A systematic review of real-time monitoring technologies and its potential application to reduce food loss and waste: Key elements of food supply chains and IoT …

TP da Costa, J Gillespie, X Cama-Moncunill, S Ward… - Sustainability, 2022 - mdpi.com
Continuous monitoring of food loss and waste (FLW) is crucial for improving food security
and mitigating climate change. By measuring quality parameters such as temperature and …

[HTML][HTML] A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks

O Kabadurmus, Y Kayikci, S Demir, B Koc - Socio-Economic Planning …, 2023 - Elsevier
The unexpected emergence of the COVID-19 pandemic has changed how grocery shopping
is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in …

A systematic review of waste management solutions using machine learning, Internet of Things and blockchain technologies: state-of-art, methodologies, and …

S Singh, R Chhabra, J Arora - Archives of Computational Methods in …, 2024 - Springer
Urbanization and rising populations are contributing significantly to the problem of garbage
generation in cities. For a quite long time, big cities all around the world have been …

Uxv-based deep-learning-integrated automated and secure garbage management scheme using blockchain

M Masuduzzaman, T Rahim, A Islam… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This article presents a deep learning (DL) model integrated automated and secure garbage
management scheme using unmanned any vehicle (UxV) to minimize the human effort in …

Gastronomi alanındaki teknolojik gelişmelere yönelik bir değerlendirme: Dijital gastronomi

D Güner, A Aydoğdu - Aydın Gastronomy, 2022 - dergipark.org.tr
İçinde bulunduğumuz ileri teknoloji çağında dijitalleşme pek çok endüstride olduğu gibi,
gıda sektöründe de kullanılmaya başlanmıştır. Yiyecek ve içecek işkollarında yenilikçi …