Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe, Krishnaraj Ramaswamy

“…The main tasks in this work are preparing the corpus, pre-processing, training the models, and the classification process. We used the term frequency-inverse document frequency (TF-IDF) and bag of words (BOW) feature extraction methods. …”
Get full text

Current Control of Electrolytic Capacitor-Less Variable Frequency Drive System for Synchronous Reluctance Motors Based on Power Balancing and Compensation by Weican Yan, Wenqi Lu, Ze Jiang, Yu Zhao, Weikang Wang, Yun-Chong Wang

“…The electrolytic capacitor-less variable frequency drive scheme using film capacitors to replace electrolytic capacitors has been partially applied in the field of washing machines and air conditioners driven by permanent magnet synchronous motors, due to its advantages of good reliability and low cost. …”
Get full text

Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions by Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh

“…Two supervised learning models, namely Extra Trees (ET) and Support Vector Machine (SVM), are developed and compared using time-domain (TD) and frequency-domain (FD) features. …”
Get full text

Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System by Imam Fahrur Rozi, Irma Maulidia, Mamluatul Hani’ah, Rakhmat Arianto, Dika Rizky Yunianto, Ahmadi Yuli Ananta

“…This study investigates the use of Support Vector Machine (SVM) for sentiment analysis, comparing three feature extraction techniques: Term Frequency-Inverse Document Frequency (TF-IDF), Bag of Words (BoW), and Word2Vec. …”
Get full text

Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…The evaluation results show that the proposed FFSVM method outperforms other nonoptimization machine learning techniques.…”
Get full text

FPGA implementation of high throughput encoder and decoder design of lossless canonical Huffman machine by Erna Guguloth, Saidulu Vadtya, Thirumalesu Kudithi, Muni Rathnam Shanmugam, Ashok Nayak Banoth

“…To address these issues, we introduce a modern hardware architecture based on the Canonical Huffman encoding and decoding computation method, integrated with frequency counting, sorting, state machine optimization, and barrel shifter techniques. …”
Get full text

A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies by Yuzhou Hou, Xuanhua Xu, Zongrun Wang, Weiwei Zhang

“…Abstract With the increasing frequency of emergencies, reliable public opinion fusion has become an important research topic in public opinion analysis and management. …”
Get full text

The Primary Noise Control in the Work Environment by Increasing the Quality of Bearings and Effective Mounting of Machines by Stanislav ŽIARAN, Ľubomír ŠOOŠ, Ondrej CHLEBO

“…The results of the vibroacoustic measurements were analysed in terms of the low frequency vibration and noise level (quality) of bearings and conditions for effective vibration isolation of the machines using vibroacoustic diagnostic method. …”
Get full text

Analyzing the Process of Formation and Retaining of Straightness of Flax Stem Strips during Flax Harvesting by Alexandr N. Zintsov, Mixail M. Kovalev, Gennady A. Perov

“…The study is aimed at improving the quality of spreading flax stem strips when performing machine harvesting. Materials and Methods. To achieve this goal, a new device has been developed for controlled spreading of flax stem strips. …”
Get full text

Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…A key innovation of this study is the development of an algorithm that processes low-amplitude high-frequency signals, which are often difficult to detect with conventional methods. …”
Get full text

Pointing stabilization of a 1 Hz high-power laser via machine learning by Alessio Amodio, Dan Wang, Curtis Berger, Hai-En Tsai, Samuel K. Barber, Jeroen van Tilborg, Alexander Picksley, Zachary Eisentraut, Neel Rajeshbhai Vora, Mahek Logantha, Qing Ji, Russell Wilcox, Qiang Du, Anthony Gonsalves

“…Achieving this stability is especially challenging for the low-repetition-rate lasers in current LPAs. We present a machine learning method that predicts and corrects laser pointing instabilities in real-time using a high-frequency pilot beam. …”
Get full text

Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

Get full text

Nonlinear Modeling and Identification of Doubly Fed Induction Machines Under Varying Grid Conditions by Andre Thommessen, Christoph M. Hackl

“…Historically, grid-connected synchronous machines have formed the grid voltage and frequency. …”
Get full text

An Analysis of the Severity of Alcohol Use Disorder Based on Electroencephalography Using Unsupervised Machine Learning by Kaloso M. Tlotleng, Rodrigo S. Jamisola

Get full text

Damage Detection in Machining Tools Using Acoustic Emission, Signal Processing, and Feature Extraction by Lucas Pires Bernardes, Pedro Oliveira Conceição Júnior, Fabio Romano Lofrano Dotto, Alessandro Roger Rodrigues, Marcio Marques Silva

“…The wear of tools in machining is one of the primary issues in manufacturing industries. …”
Get full text

Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning by Leyu Yao, John R. Taylor, Dani C. Jones, Scott D. Bachman

“…In this paper, we propose an unsupervised machine learning algorithm to identify submesoscale activity using vertical density profiles. …”
Get full text

Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain by Ali Asghar Rostami, Mohammad Taghi Sattari, Halit Apaydin, Adam Milewski

“…An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. …”
Get full text

Password strength verification based on machine learning algorithms and LSTM recurrent neural networks by V. V. Belikov, I. A. Prokuronov

“…Embedding and term frequency–inverse document frequency (TF-IDF) methods are used for data preprocessing, while cross-validation is used for selecting hyperparameters.Results. …”
Get full text

Optimizing Reservoir Separability in Liquid State Machines for Spatio-Temporal Classification in Neuromorphic Hardware by Oscar I. Alvarez-Canchila, Andres Espinal, Alberto Patiño-Saucedo, Horacio Rostro-Gonzalez

“…In this paper, we propose an optimization approach using Particle Swarm Optimization (PSO) to enhance reservoir separability in Liquid State Machines (LSMs) for spatio-temporal classification in neuromorphic systems. …”
Get full text

Technological Scheme for Utilizing Exhaust Gas Heat from a Self-Propelled Machine by N. M. Ivanov, A. B. Ivannikov, A. I. Dusantaev, G. M. Krochta, V. A. Krum

“…(Research purpose) The research aims to develop a technological scheme for utilizing waste heat from the internal combustion engine, specifically the heat from exhaust gases, to maintain the optimal temperature in the main units of the machine and tractor unit. (Materials and methods) The potential for using exhaust gas heat in the proposed scheme was studied and assessed using an experimental setup. …”
Get full text