Plant nutrition under climate change and soil carbon sequestration
The climate is one of the key elements impacting several cycles connected to soil and plant
systems, as well as plant production, soil quality, and environmental quality. Due to …
systems, as well as plant production, soil quality, and environmental quality. Due to …
The role of machine learning and design of experiments in the advancement of biomaterial and tissue engineering research
Optimisation of tissue engineering (TE) processes requires models that can identify
relationships between the parameters to be optimised and predict structural and …
relationships between the parameters to be optimised and predict structural and …
A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
Impacts of mechanized crop residue management on rice-wheat crop** system—A review
Residue management has become a new challenge for Indian agriculture and agricultural
growth, as well as environmental preservation. The rice-wheat crop** system (RWCS) is …
growth, as well as environmental preservation. The rice-wheat crop** system (RWCS) is …
Energy harvesting and task-aware multi-robot task allocation in robotic wireless sensor networks
OM Gul - Sensors, 2023 - mdpi.com
In this work, we investigate an energy-aware multi-robot task-allocation (MRTA) problem in a
cluster of the robot network that consists of a base station and several clusters of energy …
cluster of the robot network that consists of a base station and several clusters of energy …
Accurate segmentation of nuclear regions with multi-organ histopathology images using artificial intelligence for cancer diagnosis in personalized medicine
Accurate nuclear segmentation in histopathology images plays a key role in digital
pathology. It is considered a prerequisite for the determination of cell phenotype, nuclear …
pathology. It is considered a prerequisite for the determination of cell phenotype, nuclear …
Leveraging image representation of network traffic data and transfer learning in botnet detection
The advancements in the Internet has enabled connecting more devices into this technology
every day. The emergence of the Internet of Things has aggregated this growth. Lack of …
every day. The emergence of the Internet of Things has aggregated this growth. Lack of …
Automated coronary optical coherence tomography feature extraction with application to three-dimensional reconstruction
Coronary optical coherence tomography (OCT) is an intravascular, near-infrared light-based
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection
A Aksoy, L Valle, G Kar - Electronics, 2024 - mdpi.com
The cybersecurity landscape presents daunting challenges, particularly in the face of Denial
of Service (DoS) attacks such as DoS Http Unbearable Load King (HULK) attacks and DoS …
of Service (DoS) attacks such as DoS Http Unbearable Load King (HULK) attacks and DoS …
Fighting the covid-19 infodemic in news articles and false publications: The neonet text classifier, a supervised machine learning algorithm
The spread of the Coronavirus pandemic has been accompanied by an infodemic. The false
information that is embedded in the infodemic affects people's ability to have access to …
information that is embedded in the infodemic affects people's ability to have access to …