COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
COVID-19 has brought significant changes to our political, social, and technological
landscape. This paper explores the emergence and global spread of the disease and …
landscape. This paper explores the emergence and global spread of the disease and …
Advanced CMD predictor screening approach coupled with cellular automata-artificial neural network algorithm for efficient land use-land cover change prediction
The prediction of future land use and land cover (LULC) change is essential for natural
resource management and the development of environmental monitoring strategies …
resource management and the development of environmental monitoring strategies …
Bitcoin ransomware detection employing rule-based algorithms
HS Talabani, HMT Abdulhadi - Science Journal of University of …, 2022 - sjuoz.uoz.edu.krd
Cryptocurrencies have completely altered the digital transaction process all over the globe.
Almost a decade after Satoshi Nakamoto generated the first Bitcoin block; many …
Almost a decade after Satoshi Nakamoto generated the first Bitcoin block; many …
Towards a two-tier architecture for privacy-enabled recommender systems (PeRS)
The current surge in recommender systems research is impressive, but it has highlighted a
number of concerns, including users' privacy and data security. Although various solutions to …
number of concerns, including users' privacy and data security. Although various solutions to …
Improving reliability for detecting anomalies in the MQTT network by applying correlation analysis for feature selection using machine learning techniques
Anomaly detection (AD) has captured a significant amount of focus from the research field in
recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known …
recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known …
On Exploiting Rating Prediction Accuracy Features in Dense Collaborative Filtering Datasets
One of the typical goals of collaborative filtering algorithms is to produce rating predictions
with values very close to what real users would give to an item. Afterward, the items having …
with values very close to what real users would give to an item. Afterward, the items having …
The Prediction of Flow Stress in the Hot Compression of a Ni-Cr-Mo Steel Using Machine Learning Algorithms
T Pan, C Song, Z Gao, T ** relationship between the stress and
deformation conditions (such as strain, strain rate, and temperature) after being loaded. In …
deformation conditions (such as strain, strain rate, and temperature) after being loaded. In …
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models
Deep learning has emerged as a prominent field in recent literature, showcasing the
introduction of models that utilize transfer learning to achieve remarkable accuracies in the …
introduction of models that utilize transfer learning to achieve remarkable accuracies in the …
Metrisor: A novel diagnostic method for metritis detection in cattle based on machine learning and sensors
The Metrisor device has been developed using gas sensors for rapid, highly accurate and
effective diagnosis of metritis. 513 cattle uteri were collected from abattoirs and swabs were …
effective diagnosis of metritis. 513 cattle uteri were collected from abattoirs and swabs were …
Laser self-mixing interference displacement signal filtering method based on empirical mode decomposition and wavelet threshold
C Guo, Q Wang - Measurement Science and Technology, 2024 - iopscience.iop.org
In laser self-mixing interferometry displacement measurement, noise interference has a
significant impact on the measurement results. To improve measurement accuracy, this …
significant impact on the measurement results. To improve measurement accuracy, this …