Results 51 to 60 of about 40,856 (264)
Radar-based Feature Design and Multiclass Classification for Road User Recognition
The classification of individual traffic participants is a complex task, especially for challenging scenarios with multiple road users or under bad weather conditions.
Appenrodt, Nils +3 more
core +1 more source
Characterization of the extracellular matrix from human and dog umbilical cords
Abstract The extracellular matrix is important for maintaining tissue morphogenesis and homeostasis; it can also be used as a biomaterial for the production of biological scaffolds. Particularly, the umbilical cord has shown potential in the production of scaffolds for small‐diameter vessels.
Ana Carla Mendonça +6 more
wiley +1 more source
Background Musculoskeletal disorders (MSDs) are a major health concern for children. Traditional assessment methods, which are based on subjective assessments, may be inaccurate.
Sara Manoochehri +4 more
doaj +1 more source
SMOTE-SVM for Handling Imbalanced Data in Obesity Classification
Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions.
Muhammad Kunta Biddinika +3 more
doaj +1 more source
Penelitian ini berisi tentang analisis sentimen masyarakat Indonesia pada Twitter terhadap kebijakan pemerintah dalam menangani kasus pandemi covid-19.
Hanifatul Azizah +2 more
doaj +1 more source
RM-SMOTE: A new robust balancing technique
Abstract Imbalanced data is a common characteristic in classification problems. The imbalance of the data may lead to biased results, due to the difficulty of learning classes with few observations, called Minority classes. Balancing techniques are a common strategy to overcome imbalanced data situations.
Rasool Taban +2 more
openaire +1 more source
Deep Over-sampling Framework for Classifying Imbalanced Data
Class imbalance is a challenging issue in practical classification problems for deep learning models as well as traditional models. Traditionally successful countermeasures such as synthetic over-sampling have had limited success with complex, structured
B Krawczyk +15 more
core +1 more source
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski +4 more
wiley +1 more source
Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian
Ujaran kebencian adalah penyebaran kebencian terhadap individu atau kelompok atas dasar suku, agama, ras, dan karakteristik lain yang dapat menimbulkan diskriminasi, kekerasan, dan konflik sosial.
Ridwan Ridwan +2 more
doaj +1 more source
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail +3 more
core +1 more source

