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Classification of Maize Images Enhanced with Slot Attention Mechanism in Deep Learning Architectures Open
Maize is a vital global crop, serving as a fundamental component of global food security. To support sustainable maize production, the accurate classification of maize seeds—particularly distinguishing haploid from diploid types—is essenti…
Enhanced Classification of Ear Disease Images Using Metaheuristic Feature Selection Open
Ear diseases are characterized by various symptoms, including balance disturbances, delayed speech development in children, headaches, fever, and hearing loss. To prevent further complications, these conditions must be diagnosed and treate…
Enhancing intra-aural disease classification with attention-based deep learning models Open
Ear diseases are defined as pathological conditions that indicate dysfunction or abnormal function of the ear organ, which is part of the auditory system of living organisms that regulates hearing and balance functions. These diseases usua…
Sinir Ağı Dil Modelleri ve Evrensel Cümle Kodlayıcı Kullanarak Havayolu Müşteri Yorumlarının Duygu Analizi Open
Sentiment analysis represents a fundamental technique within the domain of natural language processing (NLP), employed for the purpose of discerning the emotional tenor of text-based data. Businesses may make strategic decisions by employi…
Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking Open
The Software-Defined Network (SDN) is a new network paradigm that promises more dynamic and efficiently manageable network architecture for new-generation networks. With its programmable central controller approach, network operators can e…
View article: A systematic review of automated pre-processing, feature extraction and classification of cardiotocography
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography Open
Context The interpretations of cardiotocography (CTG) tracings are indeed vital to monitor fetal well-being both during pregnancy and childbirth. Currently, many studies are focusing on feature extraction and CTG classification using compu…
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm Open
Background Otitis media (OM) is the infection and inflammation of the mucous membrane covering the Eustachian with the airy cavities of the middle ear and temporal bone. OM is also one of the most common ailments. In clinical practice, the…
Determination of Tympanic Membrane Region in the Middle Ear Otoscope Images with Convolutional Neural Network Based YOLO Method Open
Due to inflammation of the middle ear, various deformations occur in the eardrum. In order to diagnose the disease, it is necessary to examine the tympanic membrane in detail with an otoscope. In recent years, deep learning has been applie…
Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network Open
Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual interpretation of the FHR usually leads to significan…
A Diagnostic Model for Identification of Myocardial Infarction from Electrocardiography Signals Open
Electrocardiography (ECG) is auseful test used commonly to observe the electrical activity of a heart.Recently, a growing relationship has been observed between diagnosis of adisease and using of machine learning techniques. In this scope,…
A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals Open
Cardiotocography (CTG) thatcontains fetal heart rate (FHR) and uterine contraction (UC) signals is amonitoring technique. During the last decades, FHR signals have been classifiedas normal, suspicious, and pathological using machine learni…
Comparison of Machine Learning Techniques for Fetal Heart Rate Classification Open
Cardiotocography is a monitoring technique providing important and vital information on fetal status during antepartum and intrapartum periods.The advances in modern obstetric practice allowed many robust and reliable machine learning tech…
Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community Open
Cardiotocography (CTG) is a fetal monitoring technique used to determine the distress level of the fetus during pregnancy and delivery.CTG consists of two different signals including fetal heart rate (FHR) and uterine contraction (UC) acti…