Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 282, listelenen: 129-148
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Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
(ELSEVIER IRELAND, 2023)Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ... -
Improved senescent cell segmentation on bright-field microscopy images exploiting representation level contrastive learning
(WILEY Online Library, 2024)Mesenchymal stem cells (MSCs) are stromal cells which have multi-lineage differentiation and self-renewal potentials. Accurate estimation of total number of senescent cells in MSCs is crucial for clinical applications. ... -
In silico analyses and global transcriptional profiling reveal novel putative targets for Pea3 transcription factor related to its function in neurons
(PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA, 2017)Pea3 transcription factor belongs to the PEA3 subfamily within the ETS domain transcription factor superfamily, and has been largely studied in relation to its role in breast cancer metastasis. Nonetheless, Pea3 plays a ... -
In-silico Identification of Papillary Thyroid Carcinoma Molecular Mechanisms
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Representing approximately 70% to 80% of thyroid cancers, papillary thyroid cancer (PTC) is the most common type of thyroid cancers. PTC is seen in all age groups, but it is seen more frequently in women than in men. ... -
Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey
(John Wiley and Sons Ltd, 2019)ThevisiontoconnecteverydayphysicalobjectstotheInternetpromisestocreate the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, ... -
Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
(PEERJ INC, 2022)The tremendous boost in next generation sequencing and in the “omics” technologies makes it possible to characterize the human gut microbiome—the collective genomes of the microbial community that reside in our gastrointestinal ... -
Integrated querying and version control of context-specific biological networks
(OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, 2020)Motivation: Biomolecular data stored in public databases is increasingly specialized to organisms, context/pathology and tissue type, potentially resulting in significant overhead for analyses. These networks are often ... -
Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis
(SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2021)Recent advances in the high throughput technologies resulted in the production of large gene expression data sets for several phenotypes. Via comparing the gene expression levels under different conditions, such as disease ... -
Intelligent traffic light systems using edge flow predictions
(ELSEVIER, 2024)In this paper, we propose a novel graph-based semi-supervised learning approach for traffic light management in multiple intersections. Specifically, the basic premise behind our paper is that if we know some of the occupied ... -
International student projects in a blended setting: How to facilitate problem based project work
(University of Minho, 2018)his paper describes our experiences with facilitating international student projects during three years of the Erasmus+ Strategic Partnership COLIBRI (Collaboration and Innovation for Better, Personalized and IT-Supported ... -
Intrinsic graph topological correlation for graph convolutional network propagation
(ELSEVIER, 2022)Recently, Graph Convolutional Networks (GCNs) and their variants become popular to learn graph-related tasks. These tasks include link prediction, node classification, and node embedding, among many others. In the node ... -
Invention of 3Mint for feature grouping and scoring in multi-omics
(FRONTIERS MEDIA SA, 2023)Advanced genomic and molecular profiling technologies accelerated the enlightenment of the regulatory mechanisms behind cancer development and progression, and the targeted therapies in patients. Along this line, intense ... -
Investigation of Hepatocellular Carcinoma Molecular Mechanisms via in Silico Analyses
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)Hepatocellular carcinoma (HCC) is the most common cause of cancer-related death in the world. The molecular changes in the organism during the development of HCC are not fully understood. The aim of the present study is ... -
Kablosuz Sualtı Algılayıcı Ağlarında Katmanlar Arası İletişim Ve Fırsatçı Spektrum Erişimi
(TUBİTAK, 2018)Dünyamızın üçte ikisinden fazlası sularla kaplıdır. Denizlerden, göllerden ve nehirlerden oluşan sualtı dünyası doğal kaynaklar (petrol, doğalgaz ve değerli mineraller) bakımından oldukça zengin olup insanoğlu tarafından ... -
Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs
(WILEY, 2017)Artificial neural networks (ANNs) have been often used for engineering design problems. In this work, an inverse model of a reconfigurable N-shaped microstrip patch antenna which is formed by ANN is considered to find ... -
Learning management systems on blended learning courses: An experience-based observation
(SPRINGER, 2018)This paper gives an overview of Learning Management System (LMS) features based on observations on a blended learning course under the Erasmus+ project COLIBRI. We explain the main features of LMSes under two main categories: ... -
Lifetime Analysis of Energy Harvesting Underwater Wireless Sensor Nodes
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)The application of Wireless Sensor Networks (WSNs) in underwater environments poses various challenges. One of the most important problems is the limited lifetime of underwater sensor nodes. Considering how challenging and ... -
Lifetime Analysis of Error Control Schemes on Wireless Sensor Networks in Industrial Environments
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Due to the harsh channel conditions of the industrial environment, the data transmission over wireless channel suffers from erroneous packets. The energy consumption of error control schemes is of vital importance for ... -
Lifetime analysis of wireless sensor nodes in different smart grid environments
(SPRINGER, 2014)Wireless sensor networks (WSNs) can help the realization of low-cost power grid automation systems where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The WSN-based ... -
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
(Institute of Electrical and Electronics Engineers Inc., 2022)Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ...
