K-nearest neighbor rule (KNN) has been regarded as one of the top 10 methods in the field
of data mining. Due to its simplicity and effectiveness, it has been widely studied and applied …

Kartu kredit adalah sebuah alat pembayaran yang dikeluarkan oleh bank tertentu berbahan
plastik dan berguna sebagai alat pembayaran secara kredit yang dilakukan oleh pemilik …

Forecasting sporadic or intermittent demand presents significant challenges in supply chain
management, primarily due to the frequent occurrence of zero demand values and the …

Research question Can artificial intelligence and advanced image analysis extract and
harness novel information derived from cytoplasmic movements of the early human embryo …

The construction industry (CI) is one of the most hazardous where the specific behaviours of
different stakeholders can be contrary to the conditions and safety behaviours in the …

The primary sources of injuries in the workplace are improper manual material handling
(MMH) motions, forklift collisions, slip, and fall. This research presents a Digital Twin (DT) …

In this paper, a novel method is presented for detecting anomalies in ocean fixed-point
observing time series, which combines wavelet neural network (WNN), classifying threshold …

Classification is an important task of machine learning for solving a wide range of problems
in conforming patterns. In the literature, machine learning algorithms dealing with non …

In the field of gas turbine (GT) monitoring and diagnostics, GT trip is of great concern for
manufactures and users. In fact, due to the number of issues that may cause a trip, its …

Pada artikel ini kami mengevaluasi bagaimana implementasi algoritma machine learning k-
Nearest Neighbors (kNN) pada data spektroskopi gamma beresolusi rendah. Penelitian ini …