Siti Nurmaini
Sriwijaya University
Deep learningEngineeringControl engineeringPosition (vector)Artificial intelligenceSwarm roboticsPattern recognitionSwarm behaviourMobile robotMobile robot navigationComputer visionComputer scienceArtificial neural networkFeature extractionFuzzy logicControl theoryMedicineReal-time computingControl theoryParticle swarm optimizationSegmentationRobot
168Publications
10H-index
359Citations
Publications 173
Newest
#1Ade Iriani Sapitri (Sriwijaya University)H-Index: 2
#2Siti Nurmaini (Sriwijaya University)H-Index: 10
Last. Annisa Darmawahyuni (Sriwijaya University)H-Index: 5
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Congenital heart disease (CHD) often occurs, especially in infants and fetuses. Fetal image is one of the issues that can be related to the segmentation process. The fetal heart is an important indicator in the process of structural segmentation and functional assessment of congenital heart disease. This study is very challenging due to the fetal heart has a relatively unclear structural anatomical appearance, especially in the artifacts in ultrasound images. There are several types of congenita...
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#1Renny Amalia Pratiwi (Sriwijaya University)H-Index: 1
#2Siti Nurmaini (Sriwijaya University)H-Index: 10
Last. Annisa Darmawahyuni (Sriwijaya University)H-Index: 5
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One type of skin cancer that is considered a malignant tumor is melanoma. Such a dangerous disease can cause a lot of death in the world. The early detection of skin lesions becomes an important task in cancer diagnosis, therefore the patient survival can be improved. Recently, a machine learning paradigm emerged known as deep learning (DL) utilized for skin lesions classification. However, in some previous studies by using seven class images diagnostic of skin lesions classification based on a ...
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#1Jasmir JasmirH-Index: 2
#2Siti NurmainiH-Index: 10
Last. Bambang TutukoH-Index: 6
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Cancer clinical trials intervention are generally too restrictive, and some patients are often excluded on the basis ofcomorbidity, past or concomitant treatments, or the fact that they are over a certain age. In this research we built aclassification model for clinical information using public clinical trial protocols labeled as eligible or not eligible. Textclassifications are trained using deep learning to determine the predictive outcome of short free text statementsreflectingeligible and no...
#1Ria NovaH-Index: 1
#2Sukman Tulus PutraH-Index: 5
Last. Radiyati Umi PartanH-Index: 5
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#1Dodo Zaenal Abidin (Sriwijaya University)H-Index: 2
#2Siti Nurmaini (Sriwijaya University)H-Index: 10
Last. Yovi PratamaH-Index: 3
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The positioning system research strongly supports the development of location-based services used by related business organizations. However, location-based services with user experience still have many obstacles to overcome, including how to maintain a high level of position accuracy. From the literature studies reviewed, it is necessary to develop an indoor positioning system using fingerprinting based on Received Signal Strength (RSS). So far, the testing of the indoor positioning system has ...
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#1Muhammad Naufal Rachmatullah (Sriwijaya University)H-Index: 3
#2Siti Nurmaini (Sriwijaya University)H-Index: 10
Last. Firdaus Firdaus (Sriwijaya University)H-Index: 6
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The acute shortage of trained and experienced sonographers causes the detection of congenital heart defects (CHDs) extremely difficult. In order to minimize this difficulty, an accurate fetal heart segmentation to the early location of such structural heart abnormalities prior to delivery is essential. However, the segmentation process is not an easy task due to the small size of the fetal heart structure. Moreover, the manual task for identifying the standard cardiac planes, primarily based on ...
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#1Firdaus Firdaus (Sriwijaya University)H-Index: 6
#2Siti Nurmaini (Sriwijaya University)H-Index: 10
Last. Tio Artha Nugraha (Sriwijaya University)
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Author Name Disambiguation (AND), also recognized as name-identification, has long been seen as a challenging issue in bibliographic data. In other words, the same author may appear under separate names, synonyms, or distinct authors may have similar to those referred to as homonyms. Some previous research has proposed AND problem. To the best of our knowledge, no study discussed specifically synonym and homonym, whereas such cases are the core in AND topic. This paper presents the classificatio...
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The rapid development of deep learning improves the detection and classification of attacks on intrusion detection systems. However, the unbalanced data issue increases the complexity of the architecture model. This study proposes a novel deep learning model to overcome the problem of classifying multi-class attacks. The deep learning model consists of two stages. The pre-tuning stage uses automatic feature extraction with a deep autoencoder. The second stage is fine-tuning using deep neural net...
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#1Bambang TutukoH-Index: 6
#2Siti NurmainiH-Index: 10
Last. Ade Iriani SapitriH-Index: 2
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