Recent advances in machine learning applications in metabolic engineering
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
YOLOV4_CSPBi: enhanced land target detection model
The identification of small land targets in remote sensing imagery has emerged as a
significant research objective. Despite significant advancements in object detection …
significant research objective. Despite significant advancements in object detection …
Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
[PDF][PDF] TinyML-Based Classification in an ECG Monitoring Embedded System
Recently, the development of the Internet of Things (IoT) has enabled continuous and
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …
personal electrocardiogram (ECG) monitoring. In the ECG monitoring system, classification …
RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …
securing transportation data. As the vehicular network is highly dynamic, the network …
Machine learning: a suitable method for biocatalysis
PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
[HTML][HTML] How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks
Point of Interest (POI) recommendation is an important Location-Based Social Network
(LBSN) task that has become a hotspot in the past decade. It aims to exploit the user's …
(LBSN) task that has become a hotspot in the past decade. It aims to exploit the user's …
[PDF][PDF] Unstructured Oncological Image Cluster Identification Using Improved Unsupervised Clustering Techniques.
This paper presents, a new approach of Medical Image Pixels Clustering (MIPC), aims to
trace the dissimilar patterns over the Magnetic Resonance (MR) image through the process …
trace the dissimilar patterns over the Magnetic Resonance (MR) image through the process …
IDS in IoT using Machine Learning and Blockchain
NA Alsharif, S Mishra, M Alshehri - Engineering, Technology & Applied …, 2023 - etasr.com
The rise of IoT devices has brought forth an urgent need for enhanced security and privacy
measures, as IoT devices are vulnerable to cyber-attacks that compromise the security and …
measures, as IoT devices are vulnerable to cyber-attacks that compromise the security and …
Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective
Although machine learning is frequently associated with neural networks, it also comprises
econometric regression approaches and other statistical techniques whose accuracy …
econometric regression approaches and other statistical techniques whose accuracy …