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Machine Learning, Optimization, and Data Science (ISMODE), International Seminar on
2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)
22-23 Dec. 2022
Showing 1-25 of 53
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Machine Learning, Optimization, and Data Science (ISMODE), 2022 2nd International Seminar on
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ISMODE 2022 Cover Page
ISMODE 2022 Cover Page
Copyright Page
Technical Program Committee
Additional Reviewers
Authors Index
Joint Learning of Topology and Invertible Nonlinearities from Multiple Time Series
Publication Year: 2022,Page(s):483 - 488
Discovery of causal dependencies among time series has been tackled in the past either by using linear models, or using kernel- or deep learning-based nonlinear models, the latter ones entailing great complexity. This paper proposes a nonlinear modelling technique for multiple time series that has a complexity similar to that of linear vector autoregressive (VAR), but it can account for nonlinear ...Show More
Decentralized Intersection Control Using Bayesian Game Theory
Publication Year: 2022,Page(s):442 - 447
Future smart cities are expected to have efficient control of vehicular traffic to provide satisfactory mobility and transportation of people and goods. Reliable and efficient control schedule design for signalized intersections is needed to alleviate vehicular congestions and improve the overall road network management. In the present paper, we propose an approach based on game theory to design a...Show More
Design of Smartdoor for Live Face Detection Based on Image Processing Using Physiological Motion Detection
Rizky Naufal Perdana;Budhi Irawan;Casi Setianingsih;Dian Rezky Wulandari;Ivan Satrio Pamungkas;Fajri Nurfauzan;Adinda Ophelia Putri Sakinah;Muhammad Raihan Ramadhan
Publication Year: 2022,Page(s):1 - 6
Cited by: Papers (1)
In the current era, technology is developing very rapidly, especially in the field of image processing, technological developments can help and facilitate human work. The purpose of image processing is to learn how to process images to detect objects. This project has the aim of implementing real face detection based on image processing in the smart door design. The physiological motion detection ...Show More
Vision-based Real-Time Disaster Recognition Monitoring System using Raspberry Pi and Deep Learning Model
Daryl B. Valdez;Rey Anthony G. Godmalin;Allan Josephus M. Bunga
Publication Year: 2022,Page(s):127 - 131
Cited by: Papers (2)
Natural disasters are destructive forces that greatly affect all people around the world. In the Philippines, earthquakes, tropical cyclones, and floods are some of the most frequent disasters that struck the country in recent years. Several studies utilizing technology have been conducted with varying degrees of success to reduce the impact of these uncontrollable events. Different from others, t...Show More
Analog Digit Electricity Meter Recognition Using Faster R-CNN
Gagah Ghaniswara Khaesarrahman;Casi Setianingsih;Randy Erfa Saputra;Dyka Khairullah Zamhari;Erwan Maulana;Randy Erfa Saputra;Raka Zia Insani
Publication Year: 2022,Page(s):18 - 23
The current measurement of electricity consumption use a device called kWh meter that logs the total consumption of electricity, unfortunately to record the data to the electricity provider in Indonesia the employee of the provider still need to come and check the eletrical usage manually. In this paper we created a Deep Learning model based on Faster R-CNN to reads the digit from an analog electr...Show More
Modeling and Predicting Saudi Crude Oil Production Using Artificial Neural Networks (ANN) and Some Others Predictive Techniques
Publication Year: 2022,Page(s):524 - 528
Forecasting models are essential for economic development and making appropriate policy decisions. The purpose of this study is to forecast crude oil production in Saudi Arabia for the following year. Our study is aimed at predicting Saudi Arabia’s crude oil production using Artificial Neural Networks (ANN), Holt-Winters Exponential Smoothing (HW), and Autoregressive Integrated Moving Averages (AR...Show More
Vehicle Detection with YOLOv7 on Study Case Public Transportation and General Classification, Prediction of Road Loads
Publication Year: 2022,Page(s):7 - 11
Cited by: Papers (1)
The Intelligent Transportation System (ITS) is a part of the application of computer vision to transportation systems, which is nothing more than a form of integration between information systems, telecommunication and transportation infrastructure, vehicles, and road users. As a result, ITS can not only solve traffic problems, but also reduce the use of private vehicles and increase the efficienc...Show More
Developed Histogram of Oriented Gradients-based Feature Extraction for Covid-19 X-Ray Image Classification
Yessi Jusman;Wikan Tyassari;Wignyo Nindita;Alif Jamil Hussein Harahap;Akbar Maulana Ismail
Publication Year: 2022,Page(s):24 - 28
Identification of Covid-19 use X-ray images to diagnose the level of the covid-19 diseases. The patients can be misdiagnosed due to the similarity between the radiographic images of Covid-19 and pneumonia. Therefore, this research aims to develop automatic screening systems to classify the xray images effectively. Developed Histogram of Oriented Gradients (HOG) algorithm is proposed to be used for...Show More
Classification of Emotions (Positive-Negative) Based on EEG Statistical Features using RNN, LSTM, and Bi-LSTM Algorithms
Publication Year: 2022,Page(s):275 - 280
Cited by: Papers (4)
Affective computing research related to EEG-based emotion recognition has become a current research trend. This research becomes very interesting because the EEG signal is complex and always changes depending on the condition of the individual at that time. So, if the information in the EEG signal can be extracted, a person’s emotional state (which tends to be hidden) will be revealed. Therefore, ...Show More
Stereo Camera Calibration For Autonomous Car Applications
Muhammad Abdillah Rahmat;Indrabayu;Andani Achmad;Ejah Umraeni Salam;Muhammad Fadhil Bin Bahrunnida
Publication Year: 2022,Page(s):567 - 572
Cited by: Papers (1)
Several stages will be carried out in developing an intelligent transportation system, including building stereo vision by utilizing two cameras with stereo performance. Before vehicle object detection, vehicle distance and speed detection are implemented in the user’s vehicle by using cameras. Camera calibration is a process that should be noticed in computer vision. The calibration process is us...Show More
A Comparative Study of Five Machine Learning Algorithms for Anomaly-based IDS
Agung Septiadi;Erwin Nashrullah;Muhammad Arief;Junanto Prihantoro;Jemie Muliadi;Fandy R.A. Harahap;Kusnanda Supriatna;Aris Suwarjono
Publication Year: 2022,Page(s):53 - 58
One of the most important devices in cyber security is Intrusion Detection System (IDS). It is a device that is required to be able to monitor network traffic and detect the possibility of intrusion. Anomaly-based IDS is a type of IDS that works by detecting an anomaly in network traffic. The method that is starting to be widely used for detection is machine learning. In this work, the performance...Show More
Analysis of Weather Data for Rainfall Prediction using C5.0 Decision Tree Algorithm
Andi Nurkholis;Styawati;Vega Purwayoga;Hen Hen Lukmana;Agung Prihandono;Wawan Koswara
Publication Year: 2022,Page(s):551 - 555
Cited by: Papers (1)
Rainfall has an essential role in human life, including the agricultural aspect. By knowing the estimated intensity of rainfall that will fall in an area at a particular time, we can determine a good planting period for commodities that require rainfall prediction. This study aims to produce a rainfall prediction model using the C5.0 Algorithm on the Bogor Regency daily weather dataset in the prev...Show More
Dual Input Power System Stabilizer in Sulselrabar System Based on Mayfly Optimization Algorithm
Publication Year: 2022,Page(s):76 - 81
Cited by: Papers (2)
To improve the generator’s performance, additional equipment is needed, mainly if oscillations occur outside the excitation control of the generator. PSS will increase the stability limit by providing damping for generator oscillations. PSS damping means that the PSS will produce an electric torque component that is in phase with the change in speed. However, the use of PSS has many errors, especi...Show More
Robot Boat Prototype System Based on Image Processing for Maritime Patrol Area
Anik Nur Handayani;Ferina Ayu Pusparani;Dyah Lestari;I Made Wirawan;Osamu Fukuda;Aqil Aqthobirrobbany
Publication Year: 2022,Page(s):310 - 315
Cited by: Papers (3)
Enhancing maritime patrol to strengthen state border security has shown numerous interests over the year. Marine patrol is crucial in raising maritime awareness and surveying what is happening in the vast Indonesian sea area. Ship detection and identification are essential for marine patrol dealing with maritime traffic, sea border activity, and illegal fishery. Because of that, object detection i...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Machine Learning, Optimization, and Data Science (ISMODE), 2022 2nd International Seminar on
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