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Now showing items 1313-1332 of 2262
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Machine and deep learning based analysis of tumors on FDG-PET images
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Analysis of a tumor is essential in treatment planning and evaluation of treatment response. Positron Emission Tomography (PET) is a vital imaging device for clinical oncology in understanding the metabolic structure of ... -
Machine learning algorithms against hacking attack and detection success comparison
(Institute of Electrical and Electronics Engineers Inc., 2020)Power system protection units has got enormous importance with the growing risk of cyber-attacks. To create sustainable and well protected system, power system data must be healthy. For that purpose, many machine learning ... -
Machine Learning Analysis of Inflammatory Bowel Disease-Associated Metagenomics Dataset
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)There is an ongoing interplay between humans and our microbial communities. The microorganisms living in our gut produce energy from our food, strengthen our immune system, break down foreign products, and release metabolites ... -
Machine learning approaches for internet of things based vehicle type classification and network anomaly detection
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)This thesis presents innovative approaches in the realms of Intelligent Transportation Systems (ITS) and Network Intrusion Detection Systems (NIDS) within the Internet of Things (IoT). Leveraging IoT technologies, a low-cost, ... -
Machine learning approaches for underwater sensor network parameter prediction
(ELSEVIER, 2023)Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ... -
Machine Learning Assisted Particle Size and Type Classification Using Wavelength-Dependent Scattering Patterns
(Wroclaw University of Science and Technology (WUST), 2021)The presence of microplastics in oceans and water supplies have increased to critical levels within the last decade [1]. In addition to the huge mass of plastics in the seas, additional contribution to water pollution ... -
Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications
(Institute of Electrical and Electronics Engineers Inc., 2023)The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles, enhancing interconnectedness, and facilitating communication for ... -
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 ... -
Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid Feature Selection Approach using Correlation Matrix with Heatmap and SFS
(İstanbul Teknik Üniversitesi, 2022)A new hybrid machine learning method for the prediction of type 2 diabetes is introduced and explained in detail. Also outcomes are compared with the similar researches. Early prediction of diabetes is crucial to take ... -
MACHINE LEARNING BASED INTEGRATION OF miRNA AND mRNA PROFILES COMBINED WITH FEATURE GROUPING AND RANKING
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)It is very important to understand the development and progression mechanisms of the diseases at the molecular level. Revealing the functional mechanisms that cause the disease not only contributes to the molecular ... -
Machine learning based network anomaly detection
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Intelligent technologies have led to a significant rise in internet users and applications. However, this rise in internet usage has also brought serious security challenges. Organizations rely on Network Intrusion Detection ... -
Machine Learning based Network Intrusion Detection with Hybrid Frequent Item Set Mining
(GAZİ ÜNİVERSİTESİ, 2024)With the development and expansion of computer networks day by day and the diversity of software developed, the damage that possible attacks can cause is increasing beyond the predictions. Intrusion Detection Systems ... -
Machine learning methods for detecting genetic and infectious diseases
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024)Completion of the whole human genome in the 2003 has led to various advances in many fields, particularly in biology, genetics, health sciences, treatment, and pharmacology. In the following years, spread of faster and ... -
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
(ACS Publications, 2024)Polymeric membranes have been widely used for liquid and gas separation in various industrial applications over the past few decades because of their exceptional versatility and high tunability. Traditional trial-and-error ... -
Machine Learning-Based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages
(MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2021)Increased connectivity is required to implement novel coordination and control schemes. IEC 61850-based communication solutions have become popular due to many reasons-object-oriented modeling capability, interoperable ... -
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141, 2021)Deep-learning based computer vision models have proved themselves to be ground-breaking approaches to human activity recognition (HAR). However, most existing works are dedicated to improve the prediction accuracy through ... -
Macronutrients in diets differentially affect gastrointestinal cytokine and tight junction protein levels
(UNIV PUTRA MALAYSIA PRESS, 2025)Western diet is known to result in intestinal inflammation and loss of barrier function. In the present work, we investigated whether other macronutrients contribute to inflammation and destabilising barrier function in ... -
Magnetic Field Calculation Of Square Coils Having Rounded Corners
(IEEE, 2019)There are differently shaped coils for induction heating used in industry such as circular, and square coils. While producing square-like shaped coils, it is unavoidable to face production difficulties due to the sharp ... -
Magnetic micro/nanoparticle flocculation-based signal amplification for biosensing
(DOVE MEDICAL PRESS LTD, PO BOX 300-008, ALBANY, AUCKLAND 0752, NEW ZEALAND, 07.07.2016)We report a time and cost efficient signal amplification method for biosensors employing magnetic particles. In this method, magnetic particles in an applied external magnetic field form magnetic dipoles, interact with ... -
Magnetic Separation of Micro Beads and Cells on a Paper-Based Lateral Flow System
(GAZİ ÜNİVERSİTESİ, 2023)Paper based lateral flow systems are widely used biosensor platforms to detect biomolecules in a liquid sample. Proteins, bacteria, oligonucleotides, and nanoparticles were investigated in the literature. In this work ...
