Wisnu Jatmiko

University of Indonesia | UI · Faculty of Computer Science

This paper provides a combination of chemotaxic and anemotaxic modeling, known as odor-gated rheotaxis (OGR), to solve real-world odor source localization problems. Throughout the history of trying to mathematically localize an odor source, two common biometric approaches have been used. The first approach, chemotaxis, describes how particles flow...

An electronic odor discrimination system had been developed by using four quartz resonator-sensitive membranes basic-resonance frequencies at 10 MHz as a sensor and analyzed the measurement data through a back propagation (BP) as the pattern recognition system. The developed system showed high recognition probability to discriminate various single...

Heart failure is a disease many consider to be the number one global cause of death. Despite its mortality, heart failure is still underdiagnosed clinically, especially in a remote area that experiences cardiologists shortage. Existing studies have employed artificial intelligence to help with heart failure screening and diagnosis processes based o...

Noise contamination in electrocardiogram (ECG) monitoring systems can lead to errors in analysis and diagnosis, resulting in a high false alarm rate (FAR). Various studies have been conducted to reduce or eliminate noise in ECG signals. However, some noise characteristics overlap with the frequency range of ECG signals, which occur randomly and are...

The main objective of Change Detection (CD) is to gather change information from bi-temporal remote sensing images. The recent development of the CD method makes use of the recently proposed Vision Transformer (ViT) backbone. Despite ViT being superior to Convolutional Neural Networks (CNN) at modeling long-range dependencies, ViT lacks a locality...

The development of autonomous drone technology has led in their widespread deployment, especially in combat scenarios. One instance of this is the utilization of kamikaze drones, as seen in the Ukraine war. Autonomous defense drones have been used to counter these invading kamikaze drones. This study focuses on simulating scenarios involving invade...

Fast and accurate post-earthquake building damage assessment is an important task to do to define search and rescue procedures. Many approaches have been proposed to automate this process by using artificial intelligence, some of which use handcrafted features that are considered inefficient. This research proposed end-to-end building damage assess...

Most object detection methods use a horizontal bounding box that causes problems between adjacent objects with arbitrary directions, resulting in misaligned detection. Hence, the horizontal anchor should be replaced by a rotating anchor to determine oriented bounding boxes. A two‐stage process of delineating a horizontal bounding box and then conve...

Objective: To determine the potential of examining embryo morphology, and morphokinetic parameters in predicting the chromosomal status of embryos. Methods: This study is a cross-sectional that requires patients undergoing IVF followed by chromosome examination with NGS that was conducted at the IVF Center at Pondok Indah Hospital and Morula IVF Ce...

Assessment of cardiac function using echocardiography is an essential and widely used method. Assessment by manually labeling the left ventricle area can generally be time-consuming, error-prone, and has interobserver variability. Thus, automatic delineation of the left ventricle area is necessary so that the assessment can be carried out effective...

White Matter Hyperintensities (WMH) are areas of the brain that have higher intensity than other normal brain regions on Magnetic Resonance Imaging (MRI) scans. WMH is often associated with small vessel disease in the brain, making early detection of WMH important. However, there are two common issues in the detection of WMH: high ambiguity and dif...

The left ventricular of ejection fraction is one of the most important metric of cardiac function. It is used by cardiologist to identify patients who are eligible for lifeprolonging therapies. However, the assessment of ejection fraction suffers from inter-observer variability. To overcome this challenge, we propose a deep learning approach, based...

This paper proposes an assessor-guided learning strategy for continual learning where an assessor guides the learning process of a base learner by controlling the direction and pace of the learning process thus allowing an efficient learning of new environments while protecting against the catastrophic interference problem. The assessor is trained...

Prosiding Use Cases Artificial Intelligence Indonesia adalah buku yang mengumpulkan hasil-hasil kajian dan liputan 26 use cases inovasi dan 4 inisiatif pemanfaatan kecerdasan artifisial yang kemudian dipetakan menjadi lima klaster bidang kecerdasan artifisial, yakni: riset industri dan hankam, layanan publik dan kesehatan, kota cerdas dan kebencana...

Prosiding Use Cases Artificial Intelligence Indonesia adalah buku yang mengumpulkan hasil-hasil kajian dan liputan 26 use cases inovasi dan 4 inisiatif pemanfaatan kecerdasan artifisial yang kemudian dipetakan menjadi lima klaster bidang kecerdasan artifisial, yakni: riset industri dan hankam, layanan publik dan kesehatan, kota cerdas dan kebencana...

In this study, additional depth images were used to enrich the information in each image pixel. Segmentation, by its nature capable to process image up to pixel level. So, it can detect up to the smallest part of the object, even when it’s overlapped with another object. By using segmentation, the main goal is to be able to maintain the tracking pr...

One of the major challenges in the change detection (CD) of high-resolution remote sensing images is the high requirement for computational resources. Besides, to get the best change detection result, it must spot only the important changes while omitting unimportant ones, which requires learning complex interactions between multi-scale objects on...

Background Heart failure remains a considerable burden to healthcare in Asia. Early intervention, mainly using echocardiography, to assess cardiac function is crucial. However, due to limited resources and time, the procedure has become more challenging during the COVID-19 pandemic. On the other hand, studies have shown that artificial intelligence...

Background: Until the last decade, the incidence of hypertension has increased sharply. It has been reported that individuals with hypertension show a low level of adherence to their therapy management. Moreover, there has been no previous research evaluating individual characteristics, adherence, and barriers to medication adherence among people w...

Background: The accuracy of an artificial intelligence model based on echocardiography video data in the diagnosis of heart failure (HF) called LIFES (Learning Intelligent for Effective Sonography) was investigated. Methods: A cross-sectional diagnostic test was conducted using consecutive sampling of HF and normal patients' echocardiography dat...

Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network architecture to segment the UAV video of flood disaster. The proposed method consists of atrous separable...

Deep neural network (DNN)-based systems generally require large amounts of training data, so they have data scarcity problems in low-resource languages. Recent studies have succeeded in building zero-shot multi-speaker DNN-based TTS on high-resource languages, but they still have unsatisfactory performance on unseen speakers. This study addresses t...

One of the open challenges in machine learning is multi-modal data classification. A classifier model needs to be enhanced to deal with multi-modal data. This study is proposed to develop multi-codebook neural networks using intelligent Gaussian mixture model clustering for multi-modal data classification. The intelligent Gaussian mixture model clu...

A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile cam...

Theoretically, a Generative adversarial network minimizes the Jensen-Shannon divergence between real data distribution and generated data distribution. This divergence is another form of mutual information between a mixture distribution and a binary distribution. It implies that we can build a similar generative model by optimizing the mutual infor...

Deep Learning classification is often used to analyze biomedical data. One of them is to analyze the Fetal Heart Rate (FHR) signal data used to check and monitor maternal and fetal health and prevent mobility and mortality in fetuses at risk of developing hypoxia. The problem that often occurs in the data is data unbalance. Time Series Generative A...

To measure the distance of an object, we propose a distance sensor that combines a tunable aperture operated by the thermal expansion of silicon chevron beams with a commercial camera similar to the automotive black box. The distance sensor is composed of a tunable aperture, a lens with an 8 mm focal length, and a 1/4-inch full high definition imag...

Intelligent transport systems (ITS) are a promising area of studies. One implementation of ITS are advanced driver assistance systems (ADAS), involving the problem of obstacle detection in traffic. This study evaluated the YOLOv4 model as a state-of-the-art CNN-based one-stage detector to recognize traffic obstacles. A new dataset is proposed conta...

In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each other; this condition often occurs when there are many classes in a data set. On other hand, skewness...

Traffic violations are one of the causes of the increasing number of road traffic fatalities every year, apart from driver negligence or ignorance of traffic signs. ADAS does not totally forestall mishap, however they can all more likely shield us from a few human elements and human mistake. The goal of ADAS is to automate vehicle systems for bette...

There has been growing demand for 3D modeling from earth observations, especially for purposes of urban and regional planning and management. The results of 3D observations has slowly become the primary source of data in terms of policy determination and infrastructure planning. In this research, we presented an automatic building segmentation meth...

Traumatic brain injury is a common injury that can range from mild concussions to severe permanent brain damage. One of the severe damages caused by traumatic brain injury is intracranial hemorrhage, which is typically diagnosed by clinicians using head computed tomography (CT) scans. However, in some hospitals in Indonesia, sometimes there is a la...

Abstract Traditional food knowledge (TFK) is an essential aspect of human life. In terms of sociocultural aspects, TFK is necessary to protect ancestral culture. In terms of health, traditional foods contain better and more natural ingredients compared to the ingredients of processed foods. Considering this background, in this study, data acquisiti...

Vehicle classifications with different methods have been applied for many purposes. The data provided in this article is useful for classifying vehicle purposes following the Indonesia toll road tariffs. Indonesia toll road tariff regulations divide vehicles into five groups as follows, group-1, group-2, group-3, group-4, and group-5, respectively....

The autonomous cars are considered as a tremendous disruptive innovation in the coming years. They enable a driving automation system to replace human drivers to control the vehicle with better recognition, decision and driving skills and ultimately enhance the road users' experience and traffic safety. They can communicate with other cars as they...

This CO2 data is gathered from WSN (Wireless Sensor Network) sensors that is placed in some areas. To make this observation framework run effectively, examining the relationships between factors is required. We can utilize multiple wireless sensor devices. There are three parts of the system, including the sensor device, the sink node device, and t...

We propose a method for optimizing multiple-drone pursuers’ performance in handling attacks from Kamikaze multiple-drone evaders on a battlefield. The central aspect of this problem is to minimize damage produced by evaders towards a defended area guarded by multiple-pursuers. We propose a communication strategy among pursuers where each pursuer ca...

We propose an optimization algorithm for reducing execution time needed by multiple pursuers in solving a variant of the Multiple-Pursuer Multiple-Evader (MPME) problem where each evader tries to attack an area defended by pursuers. This problem is a variant of the Multi-Agent Pursuit Evasion problem. In our discussed problem, a group of pursuers t...

One of the challenges in machine learning is a classification in multi-modal data. The problem needs a customized method as the data has a feature that spreads in several areas. This study proposed a multi-codebook fuzzy neural network classifiers using clustering and incremental learning approaches to deal with multi-modal data classification. The...

This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages. DNN-based system typically requires a large amount of training data. In recent years, while DNN-based TTS has made remarkable results for high-resource languages, it still suffers from a data...

Breast cancer is one of the leading causes of death in the world for women. Early detection and diagnosis can be done to reduce the cancer death rate. MicroRNA is known as a biomarker for breast cancer and with the help of artificial neural network technology, made it possible to perform a classification process for early detection. Backpropagation...

Technology is developed to benefit society. One of the applications of technology in the healthcare sector is telehealth monitoring system. The system proposes a new way of communication between the doctor and the patient, even in a very remote location. In this paper, we elaborate the progress and challenges regarding the development of Tele-ECG i...

Nowadays, the broad availability of cameras and embedded systems makes the application of computer vision very promising as a supporting technology for intelligent transportation systems, particularly in the field of vehicle tracking. Although there are several existing trackers, the limitation of using low‐cost cameras, besides the relatively low...