Lung cancer is a very deadly disease. However, early diagnosis and detection an essential factor in overcoming this Tumors formed disease's initial stage are divided into benign malignant. These can be visualized using computed tomography (CT) scan. Thanks to machine learning deep learning, stages detected these images. In our study, the best most promising results literature were obtained by h...

Tumor otak merupakan salah satu penyakit penyebab kematian terbesar secara global. Banyak cara untuk mendeteksi tumor dengan pengambilan struktur DNA microarray pada protein lalu melakukan klasifikasi menggunakan machine learning. Hasil penelitian ini adalah mengetahui keakuratan dalam pengklasifikasian metode Extreme Learning Machines dan tanpa oversampling SMOTE keseluruhan data. Performa kin...

Delivery of justice with the help artificial intelligence is a current research interest. Machine learning natural language processing (NLP) can classify types sexual harassment experiences into quid pro quo (QPQ) and hostile work environments (HWE). However, imbalanced data are often present in classes classification on specific datasets. Data imbalance cause decrease classifier's performance ...

Data Mining is an activity that combines various branches of science into one, consisting database systems, statistics, machine learning, and visualization, to analyze a large dataset in order obtain useful data characteristics. To address the problem imbalanced datasets, distribution non-uniform classes among balanced by using comparison SMOTE ADASYN methods ensure number between majority (neg...

Abstract Network security is subject to malicious attacks from multiple sources, and intrusion detection systems play a key role in maintaining network security. During the training of models, results generally have relatively large false rates due shortage data caused by imbalance. To address existing sample imbalance problem, this paper proposes algorithm based on enhanced random forest synth...

The transformation of education norms from face-to-face teaching era to the Massive Open Online Courses (MOOCs) has created emergence educational technology domain for many students access e-learning platforms. However, there are some drawbacks especially in asynchronous video-based learning. A sense isolation could occur between teacher and if teachers do not interact much with Consequently, k...