Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms

MS Bakay, Ü Ağbulut - Journal of Cleaner Production, 2021 - Elsevier
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …

A review of Urdu sentiment analysis with multilingual perspective: A case of Urdu and roman Urdu language

IU Khan, A Khan, W Khan, MM Su'ud, MM Alam… - Computers, 2021 - mdpi.com
Research efforts in the field of sentiment analysis have exponentially increased in the last
few years due to its applicability in areas such as online product purchasing, marketing, and …

A wearable multidimensional motion sensor for AI-enhanced VR sports

ZH Guo, ZX Zhang, K An, T He, Z Sun, X Pu, C Lee - Research, 2023 - spj.science.org
Regular exercise paves the way to a healthy life. However, conventional sports events are
susceptible to weather conditions. Current motion sensors for home-based sports are mainly …

Raman spectroscopy and FTIR spectroscopy fusion technology combined with deep learning: A novel cancer prediction method

H Leng, C Chen, C Chen, F Chen, Z Du, J Chen… - … Acta Part A: Molecular …, 2023 - Elsevier
According to the limited molecular information reflected by single spectroscopy, and the
complementarity of FTIR spectroscopy and Raman spectroscopy, we propose a novel …

A federated machine learning approach for order-level risk prediction in supply chain financing

L Kong, G Zheng, A Brintrup - International Journal of Production …, 2024 - Elsevier
Abstract Supply Chain Financing (SCF) is increasingly utilised as an effective method for
optimising cash flows in supply networks. With increased popularity several financial …

CNN-based person detection using infrared images for night-time intrusion warning systems

J Park, J Chen, YK Cho, DY Kang, BJ Son - Sensors, 2020 - mdpi.com
Night-time surveillance is important for safety and security purposes. For this reason, several
studies have attempted to automatically detect people intruding into restricted areas by …

[PDF][PDF] Plant disease detection using CNN

E Harte - ResearchGate, 2020 - researchgate.net
Plant disease is an ongoing challenge for smallholder farmers, which threatens income and
food security. The recent revolution in smartphone penetration and computer vision models …

Advances in vegetation map** through remote sensing and machine learning techniques: a scientometric review

C Matyukira, P Mhangara - European Journal of Remote Sensing, 2024 - Taylor & Francis
This study explores the rapid growth in remote-sensing technologies for vegetation
map**, driven by the integration of advanced machine learning techniques. An analysis of …

[HTML][HTML] A convolutional neural networks based method for anthracnose infected walnut tree leaves identification

A Anagnostis, G Asiminari, E Papageorgiou… - Applied Sciences, 2020 - mdpi.com
Anthracnose is a fungal disease that infects a large number of trees worldwide, damages
intensively the canopy, and spreads with ease to neighboring trees, resulting in the potential …

A deep learning framework for target localization in error-prone environment

SK Mohammed, S Singh, R Mizouni, H Otrok - Internet of Things, 2023 - Elsevier
The use of Internet of Things (IoT) in environment monitoring has led to the development of
Smart Environmental Monitoring (SEM) paradigm. Target or source localization, that …