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Toplam kayıt 105, listelenen: 91-100
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
(MDPI, 2022)
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ...
Machine learning based classifcation of cells into chronological stages using singlecell transcriptomics
(NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2018)
Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to detect premature aging could provide a window for preventive therapies against age-related diseases. However, the techniques ...
Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers
(SPRINGER, 2023)
The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred to as the limited depth of field problem, and several attempts exist to ...
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
(ELSEVIER, 2024)
Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ...
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
(ELSEVIER, 2023)
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to
decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest
X-ray ...
Stacking Ensemble Learning-Based Wireless Sensor Network Deployment Parameter Estimation
(Institute for Ionics, 2023)
In wireless sensor network projects, it is generally desired to cover the area to be monitored at a given cost and to achieve the
maximum useful network lifetime. In the deployment of the wireless sensors, it is necessary ...
Attack-Aware Dynamic Upstream Bandwidth Assignment Scheme for Passive Optical Network
(Walter de Gruyter GmbH, 2023)
Network security is an important component of today’s networks to combat the security attacks. The passive optical network (PON) works at the medium access layer (MAC). A distributed denial of service (DDOS) attack may be ...
AI-based fog and edge computing: A systematic review, taxonomy and future directions
(ELSEVIER, 2023)
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of ...
Energy consumption of on-device machine learning models for IoT intrusion detection
(ELSEVIER, 2023)
Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid
development of the Internet of Things (IoT) technologies. Besides offering many tangible
benefits, SHSs are vulnerable to attacks that ...
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)
During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ...