Results 21 to 30 of about 1,151,147 (311)
Odor Detection Using an E-Nose With a Reduced Sensor Array
Sensors, 2020 Recent advances in the field of electronic noses (e-noses) have led to new developments in both sensors and feature extraction as well as data processing techniques, providing an increased amount of information.
Piotr Borowik +4 more
doaj +1 more source
Features Selection Algorithms for Classification of Voice Signals [PDF]
, 2021 In data mining problems, the high dimensionality of the input features can affect the performance of the process. In this way, the features selection methods appear as a solution to the problems encountered when analyzing databases with large dimensions.
Silva, Letícia +2 more
core +1 more source
IEEE Access, 2020 The continuous improvements in the area of medical imaging, makes the patient monitoring a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect data from human body through sensors, wireless connectivity etc.
Muhammad Attique Khan +6 more
doaj +1 more source
Selecting Features with SVM [PDF]
, 2013 A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support Vector Machines. The method is based on controlling an angle by which the decision hyperplane is tilt due to feature selection ...
Jacek Rzeniewicz, Julian Szymanski
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IEEE Access, 2023 Rainfall prediction plays a crucial role in raising awareness about the potential dangers associated with rain and enabling individuals to take proactive measures for their safety.
Md. Mehedi Hassan +9 more
doaj +1 more source
Features selection from the literature of potentials risk factors of preterm birth.
, 2023 Features selection from the literature of potentials risk factors of preterm birth.
Nadirah Ghenimi (17705890) +8 more
core +1 more source
Extraction of Peanut Planting Area Based on Dual-temporal Remote Sensing Features of Crops
应用气象学报, 2022 Various high-resolution satellite remote sensing platforms and sensors have been established recently, but there are still many challenges for crop type fine classification.
Guo Qile, Li Junling, Guo Peng
doaj +1 more source
, 2023 In this paper, we introduce a novel unsupervised, graph-based filter feature selection technique which exploits the power of topologically constrained network representations. We model dependency structures among features using a family of chordal graphs (the Triangulated Maximally Filtered Graph), and we maximise the likelihood of features' relevance ...
Antonio Briola, Tomaso Aste
openaire +3 more sources
HYBRID FEATURE SELECTION AND SUPPORT VECTOR MACHINE FRAMEWORK FOR PREDICTING MAINTENANCE FAILURES
Applied Computer Science, 2023 The main aim of predictive maintenance is to minimize downtime, failure risks and maintenance costs in manufacturing systems. Over the past few years, machine learning methods gained ground with diverse and successful applications in the area of ...
Mouna TARIK +2 more
doaj +1 more source
Reliable Machine Learning Model for IIoT Botnet Detection
IEEE Access, 2023 Due to the growing number of Industrial Internet of Things (IoT) devices, network attacks like denial of service (DoS) and floods are rising for security and reliability issues.
Fatma Taher +3 more
doaj +1 more source