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Journal articles on the topic 'Machine 1341'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Khadouj, Jelbaoui Yakout, El Menzhi Lamiaà, and Abdallah Saad. "Squirrel cage induction motor fault diagnosis using lissajous curve of an auxiliary winding voltage: case of broken bars." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1332. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1332-1341.

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The detection of incipient faults has attracted industrials and researchers specific attention in order to prevent the motor breakdown, improve its reability and increase its lifetime. This paper presents a squirrel cage induction machine broken bar and rings diagnosis approach. This technic uses a new monitored signal as an auxiliary winding voltage related to a small coil inserted between two stator phases. Monitoring behaviors of the Lissajous curve of this auxiliary winding voltage park components under different load levels is the main key of this study. For this purpose, the squirrel cag

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Khadouj, Jelbaoui Yakout, El Menzhi Lamiaà, and Abdallah Saad. "Squirrel cage induction motor fault diagnosis using lissajous curve of an auxiliary winding voltage: case of broken bars." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1332–41. https://doi.org/10.11591/ijeecs.v24.i3.pp1332-1341.

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The detection of incipient faults has attracted industrials and researchers specific attention in order to prevent the motor breakdown, improve its reability and increase its lifetime. This paper presents a squirrel cage induction machine broken bar and rings diagnosis approach. This technic uses a new monitored signal as an auxiliary winding voltage related to a small coil inserted between two stator phases. Monitoring behaviors of the Lissajous curve of this auxiliary winding voltage park components under different load levels is the main key of this study. For this purpose, the squirrel cag

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3

Shahgholian, G., and A. Fattollahi. "Improving Power System Stability Using Transfer Function: A Comparative Analysis." Engineering, Technology & Applied Science Research 7, no. 5 (2017): 1946–52. http://dx.doi.org/10.48084/etasr.1341.

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In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the operating condition of a power system on dynamic performance have been examined. The dynamic performance of the closed-loop system is analyzed base on its eigenvalues. The effectiveness of the parameters changes on dynamic stability is verified by simulation results. Three types of PSS have been considered for analysis: (a) the derivative PSS, (b) the lead-lag PSS or conventio

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Nicely, Julie M., Bryan N. Duncan, Thomas F. Hanisco, et al. "A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1." Atmospheric Chemistry and Physics 20, no. 3 (2020): 1341–61. http://dx.doi.org/10.5194/acp-20-1341-2020.

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Abstract. The hydroxyl radical (OH) plays critical roles within the troposphere, such as determining the lifetime of methane (CH4), yet is challenging to model due to its fast cycling and dependence on a multitude of sources and sinks. As a result, the reasons for variations in OH and the resulting methane lifetime (τCH4), both between models and in time, are difficult to diagnose. We apply a neural network (NN) approach to address this issue within a group of models that participated in the Chemistry-Climate Model Initiative (CCMI). Analysis of the historical specified dynamics simulations pe

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Herath, C. N., and Bok Choon Kang. "Flexural stiffness of core spun cotton/spandex weft knitted structures under relaxation and machine washing treatments." Fibers and Polymers 13, no. 10 (2012): 1341–47. http://dx.doi.org/10.1007/s12221-012-1341-z.

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Kushagra, Agrawal, Kumar Rajneesh, and Jain Shaveta. "An Efficient Ensemble Model for Diagnosing Covid-19 and Pneumonia Using Chest X-Ray Images." Indian Journal of Science and Technology 15, no. 38 (2022): 1900–1906. https://doi.org/10.17485/IJST/v15i38.1269.

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Abstract <strong>Objectives :</strong> To propose an ensemble machine learning model for early identification of COVID-19 and pneumonia lung infections by analyzing the chest X-ray images.<strong> Methods:</strong> RGDSoft model is proposed for image classification which is a soft voting ensemble deep transfer learning strategy with pre-trained classifiers ResNet-18, GoogLeNet, and DenseNet-121. The model is tested on COVID-19 dataset having 1143 positive COVID-19, 1341 normal, and 1345 pneumonia images, and the Kermany dataset which has 5856 chest X-ray images divided into two

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Pukeng, A. F., R. R. Fauzi, Lilyana, R. Andrea, E. Yulsilviana, and S. Mallala. "An intelligent agent of finite state machine in educational game “Flora the Explorer”." Journal of Physics: Conference Series 1341 (October 2019): 042006. http://dx.doi.org/10.1088/1742-6596/1341/4/042006.

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Norman, Suzuki Syofian, Dhino Rahmad Kusuma, and Linda Nur Afifa. "ANALISIS SENTIMEN TANGGAPAN PELANGGAN INDIHOME DI PLATFORM SOSIAL MEDIA FACEBOOK DAN TWITTER MENGGUNAKAN SUPPORT VECTOR MESIN DAN PENDEKATAN KLASIFIKASI NAÏVE BAYES (STUDI KASUS: PT. TELKOM INDONESIA)." Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada 13, no. 1 (2023): 124–33. http://dx.doi.org/10.70746/jstunsada.v13i1.221.

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In the digital era, the internet has become an inseparable part of everyday life, including the ease of finding information and sharing opinions through social media such as Twitter and Facebook. On these two platforms, users can provide reviews about products, including IndiHome services. The large number of reviews on social media reflects the high level of feelings users have for the service. However, currently PT. Telkom Indonesia does not fully know the opinions and reviews of IndiHome customers on social media, both positive and negative. This study aims to improve understanding of the p

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Arafah, M., A. Achmad, Indrabayu, and I. S. Areni. "Face recognition system using Viola Jones, histograms of oriented gradients and multi-class support vector machine." Journal of Physics: Conference Series 1341 (October 2019): 042005. http://dx.doi.org/10.1088/1742-6596/1341/4/042005.

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Wójcicki, Jeremi, and Giacomo Bianchi. "Electric load management in spindle run-up and run-down for multi-spindle machine tools via optimal power-torque trajectories and peak load synchronization." International Journal of Advanced Manufacturing Technology 95, no. 5-8 (2017): 1819–35. http://dx.doi.org/10.1007/s00170-017-1341-7.

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Nugraha, S., N. Patawaran, I. H. Wayangkau, Suwarjono, and Nurcholis. "Implementation of Internet of Things for Egg Incubation Control System." IOP Conference Series: Earth and Environmental Science 1341, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1755-1315/1341/1/012015.

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Abstract An egg incubator is a technology in the livestock industry used for automated and efficient egg hatching. However, in its development, existing egg incubators only utilize incandescent lamps without any notification system to indicate when the chicken eggs have hatched, and there is no temperature or humidity detection in the incubator. As a result, the incubator’s situation during the egg hatching process remains uncontrolled. Therefore, this research, we designed and constructed an egg incubator machine that utilizes a microcontroller as the main control unit, responsible for regula

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Wu, Chao, Xiaonan Zhao, Mark Welsh, et al. "Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing." Clinical Chemistry 66, no. 1 (2019): 239–46. http://dx.doi.org/10.1373/clinchem.2019.308213.

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Abstract BACKGROUND Molecular profiling has become essential for tumor risk stratification and treatment selection. However, cancer genome complexity and technical artifacts make identification of real variants a challenge. Currently, clinical laboratories rely on manual screening, which is costly, subjective, and not scalable. We present a machine learning–based method to distinguish artifacts from bona fide single-nucleotide variants (SNVs) detected by next-generation sequencing from nonformalin-fixed paraffin-embedded tumor specimens. METHODS A cohort of 11278 SNVs identified through clinic

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Ramdaniah, A. Lawi, and S. Syarif. "Performance evaluation of naive Bayes and support vector machine in type 2 Diabetes Mellitus gene expression microarray data." Journal of Physics: Conference Series 1341 (October 2019): 042018. http://dx.doi.org/10.1088/1742-6596/1341/4/042018.

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M. Jhansi Lakshmi, Avire Pravalika, Koshika Sonika, Podugu Srinadh, and A. Sai Durga. "SMARTFIT: AI-POWERED PERSONALIZED FITNESS RECOMMENDER SYSTEM." International Journal of Engineering Research and Science & Technology 20, no. 2 (2024): 1336–41. https://doi.org/10.62643/ijerst.2024.v20.i2.pp1336-1341.

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The growing emphasis on health and fitness has increased the demand for personalized fitness guidance. Traditional fitness assistance methods, such as generic workout plans and standard dietary guidelines, often fail to meet individual needs. While personal trainers provide tailored support, they can be costly and inaccessible to many. Generic fitness applications offer predefined routines but lack adaptability and real-time feedback, limiting their effectiveness. These conventional approaches do not consider personal preferences, fitness history, or changing health conditions, leading to subo

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OCHIAI, Masami, and Mitsuo SONODA. "1301 Electric System in Construction Machine." Proceedings of the Transportation and Logistics Conference 2008.17 (2008): 377–80. http://dx.doi.org/10.1299/jsmetld.2008.17.377.

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Чубинский, А. Н., Д. С. Русаков, Е. Г. Соколова, Г. С. Варанкина, and А. А. Федяев. "Innovative methods for researching adhesive joints." Известия СПбЛТА, no. 243 (June 8, 2023): 253–68. http://dx.doi.org/10.21266/2079-4304.2023.243.253-268.

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Целью работы является разработка классификации колесных форвардеров с учетом расширенного перечня эксплуатационных характеристик. Материалом для разработки классификации являются сведения, предоставленные на официальных сайтах производителей Ponsse, Rottne, Komatsu, John Deere, Ecolog, HSM. Всего для анализа использованы данные по 39 моделям форвардеров с колесной формулой 8х8. Предлагаемая классификация основана на результатах кластеризации объектов с использованием метода кластеризации k-средних. При кластеризации использованы главные компоненты, полученные в результате линейного преобразова

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Федосеева, М. А., П. С. Киселев, А. С. Наганов, С. С. Петросян, А. В. Щукин, and Е. Г. Хитров. "Classification of 8x8 wheeled forwarders based on cluster analysis in principal component space." Известия СПбЛТА, no. 243 (June 8, 2023): 240–52. http://dx.doi.org/10.21266/2079-4304.2023.243.240-252.

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Целью работы является разработка классификации колесных форвардеров с учетом расширенного перечня эксплуатационных характеристик. Материалом для разработки классификации являются сведения, предоставленные на официальных сайтах производителей Ponsse, Rottne, Komatsu, John Deere, Ecolog, HSM. Всего для анализа использованы данные по 39 моделям форвардеров с колесной формулой 8х8. Предлагаемая классификация основана на результатах кластеризации объектов с использованием метода кластеризации k-средних. При кластеризации использованы главные компоненты, полученные в результате линейного преобразова

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Tsao, Chia-Cheng, Wen-Kai Lin, Kai-Yuan Lai, Savas Yavuzkurt, and Yao-Hsien Liu. "Numerical Investigation of Compression and Expansion Process of Twin-Screw Machine Using R-134a." Energies 16, no. 8 (2023): 3599. http://dx.doi.org/10.3390/en16083599.

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Increasing the efficiency of twin-screw machines is beneficial for gas compression and expansion applications. We used a computation fluid dynamic approach to obtain the flow field and efficiency of a twin-screw machine that used R-134a as the working fluid. The leakage flow and sealing lines were obtained to study their geometrical effects during the compression and expansion process. The effects of the wrap angle (280°, 290°, and 300°) and pressure ratios on the compression efficiency were studied. During the compression process, the volumetric efficiency was more than 70% regardless of the

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Aulia, Lailatul Husna, and Sriani Sriani. "Sentiment Analysis Against Rohingya Immigrants On Twitter Using The Support Vector Machine Method." JINAV: Journal of Information and Visualization 5, no. 1 (2024): 97–106. https://doi.org/10.35877/454ri.jinav2775.

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The influx of Rohingya migrants into Indonesia has sparked diverse reactions from the public, ranging from both positive and negative perspectives. These viewpoints have surfaced prominently on Twitter, where netizens express conflicting opinions that often lead to division and discord. This study seeks to examine the sentiment of public opinion regarding Rohingya immigrants on Twitter, employing a Support Vector Machine with RBF kernel implemented in Python as its analytical method. The sentiment resulting from the crawling process on Twitter was 1347 pieces of data. In the analysis, the comp

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Suman Kumar Swarnkar. "Application of Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images." Journal of Electrical Systems 20, no. 3s (2024): 645–53. http://dx.doi.org/10.52783/jes.1346.

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This study investigates the application of convolutional neural networks (CNNs) and traditional machine learning algorithms for the early detection and classification of Alzheimer's disease (AD) using brain Magnetic Resonance Imaging (MRI) data. We compare the performance of CNNs with Support Vector Machines (SVM), Random Forest (RF), and Gradient Boosting Machines (GBM) on a dataset comprising MRI images from AD patients and healthy controls. Results show that CNNs achieved the highest accuracy (90.2%) and area under the receiver operating characteristic curve (AUC-ROC) of 0.95, outperforming

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Dadheech, Pankaj, Vijay Kalmani, Sanwta Ram Dogiwal, Vijay Kumar Sharma, Ankit Kumar, and Saroj Kumar Pandey. "Breast cancer prediction using supervised machine learning techniques." Journal of Information and Optimization Sciences 44, no. 3 (2023): 383–92. http://dx.doi.org/10.47974/jios-1348.

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Breast cancer is one of the most prevalent diseases in India’s urban regions and the second most common in the country’s rural parts. In India, a woman is diagnosed with breast cancer growth every four minutes, and a woman dies from breast cancer sickness every thirteen minutes. Over half of breast cancer patients in India are diagnosed with stage 3 or 4 illness, which has extremely low survival rates; hence, an urgent need exists for a rapid detection strategy. To forecast if a patient is at risk for breast cancer, we utilise the classification techniques of machine learning, in which the mac

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GÜNDOĞAN TÜRKER, Çiğdem, Feriha ERFAN KUYUMCU, and Nurhan TÜRKER TOKAN. "Performance of support vector regression machines on determining the magnetic characteristics of the E-core transverse flux machine." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 23 (2015): 698–708. http://dx.doi.org/10.3906/elk-1301-84.

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Mutaufiq, Hendri Sulistyo, Kamin Sumardi, Ega Taqwali Berman, and Apri Wiyono. "Performance Investigation of Cooling Machine Practice Props After Retrofitted by Natural Refrigerants." Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik 20, no. 2 (2021): 136–45. http://dx.doi.org/10.26874/jt.vol20no2.419.

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Penyesuaian komponen utama mesin pendingin perlu dilakukan setelah di-retrofit/diganti dengan refrigeran baru yang ramah lingkungan. Ini dilakukan untuk mendapatkan kinerja mesin pendingin yang baik. Penelitian ini bertujuan untuk menyelidiki pengaruh penyesuaian komponen utama mesin pendingin dalam meningkatkan kinerja mesin pendingin setelah menggunakan refrigeran baru yang ramah lingkungan. Penelitian dirancang secara eksperimen pada mesin pendingin jenis refrigerator yang menggunakan refrigeran R-134a sebagai fluida kerja. Jenis refrigeran hidrokarbon yang digunakan untuk menyubtitusi R-13

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Cappenberg, Audri Deacy. "Analisis Chiller Dengan Menggunaan R123 Dan R134a Pada Kinerja Pendinginan." JURNAL KAJIAN TEKNIK MESIN 5, no. 1 (2020): 48–57. http://dx.doi.org/10.52447/jktm.v5i1.3979.

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AbstrakChiller adalah mesin refrigerasi yang memiliki fungsi utama mendinginkan air pada sisi evaporator, air yang didinginkan selanjutnya didistribusi ke alat penukar kalor (FCU; fan coil unit). Chiller sudah menjadi pilihan dalam pengkondisian udara ruangan dalam skala besar maupun dalam mesin-mesin proses. Penelitian ini bertujuan untuk mengetahui kinerja pendingin chiller centrifugal water cooled (dari beberapa jenis chiller yang tersedia) yang berkapasitas relatif besar, dengan menggunakan refrigeran R-123 dan R-134a sebagai media pendingin. Dari hasil penelitian dan pengolahan data maka

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Srinivasan, Sudarshan, Edmon Begoli, Gregory Peterson, Muthiah Muthiah, and Rishikesan Kamaleswaran. "1346: MARKERS IN UNSTRUCTURED PROGRESS NOTES PREDICT IMMINENT ICU ADMISSION USING MACHINE LEARNING." Critical Care Medicine 48, no. 1 (2020): 650. http://dx.doi.org/10.1097/01.ccm.0000645300.73489.da.

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SHIBATA, Shigenori, Yuh SAKAI, Kazuo YOSHIDA, and Masaki TAKAHASHI. "1314 Nonstationary Robust Motion and Vibration Control for Conveyance Machine with Flexible Fork." Proceedings of the Symposium on the Motion and Vibration Control 2007.10 (2007): 132–37. http://dx.doi.org/10.1299/jsmemovic.2007.10.132.

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Nova, Candra Kelviyan, Rochmad Winarso, and Rianto Wibowo. "RANCANG BANGUN MESIN PERAJANG BAWANG DENGAN KAPASITAS 50 KG/JAM." JURNAL CRANKSHAFT 5, no. 2 (2022): 73–84. http://dx.doi.org/10.24176/crankshaft.v5i2.8786.

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ABSTRAKSemakin meningkatnya berbagai olahan makanan, produsen bawang goreng dituntut untuk lebih mampu memenuhi kebutuhan UKM dan pasar yang semakin meningkat. Penggunaan alat atau mesin dalam proses produksi bawang goreng dirasa sangat penting guna menunjang kebutuhan pasar tersebut. Tujuan dari penelitian ini adalah mendesain sebuah mesin perajang bawang dengan kapasitas 50 Kg/jam.Metode yang digunakan dalam proses perancangan ini meliputi analisa kebutuhan, konsep desain, perancangan dan perhitungan, proses manufaktur dan hasil pengujian. Dalam perhitungan mesin perajang ini di peroleh untu

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Rostovtsev, Roman A., Mixail M. Kovalev, Gennady A. Perov, and Sergey V. Prosolov. "Justification of the parameters of pulling sections of units with transverse channels." Tractors and Agricultural Machinery 90, no. 4 (2023): 373–58. http://dx.doi.org/10.17816/0321-4443-352499.

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BACKGROUND: In modern harvesting technologies, the main technological operation is mechanized crops pulling. The flax-pulling machine with transverse band-disc channels is the most promising. However, the basic design parameters of pulling sections are not justified sufficiently, the peculiarities of their layout are not considered, the processes of moving plants through sections and pulling short-stemmed flax are not sufficiently studied, which reduces the effectiveness of its use. AIMS: Theoretical and experimental justification of the parameters and operation modes of pulling sections

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Sipayung, Kammer Tuahman, Novdin Manoktong Sianturi, I. Made Dwipa Arta, Yeti Rohayati, and Diani Indah. "Comparison of Translation Techniques by Google Translate and U-Dictionary: How Differently Does Both Machine Translation Tools Perform in Translating?" Elsya : Journal of English Language Studies 3, no. 3 (2021): 236–45. http://dx.doi.org/10.31849/elsya.v3i3.7517.

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Better translation produced by computation linguistics should be evaluated through linguistics theory. This research aims to describe translation techniques between Google Translate and U-Dictionary. The study used a qualitative research method with a descriptive design. This design was used to describe the occurrences of translation techniques in both translation machine, with the researchers serving as an instrument to compare translation techniques which is produced on machine. The data are from expository text entitled “Importance of Good Manners in Every Day Life”. The total data are 122

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Sanabel, M. AL-Hajzber, J. Ali Ahmed, H. AL-Rifaie Alya, and K. Shanshal Abdullah. "A comparative study for the performance operation of electric machine based on conventional and D-Q theories." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1304–14. https://doi.org/10.11591/ijpeds.v12.i3.pp1304-1314.

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Induction motors are used widely in industrial applications, thanks to their high efficiency and reliability which nominates it as a good machine used in various application. Based on the application and accuracy, modeling processes of electric machines are carried out using different mathematical methods. The most common method for modeling electrical machines is based on solution of differential equations of voltages as well as calculating the time varying self-inductances and the mutual inductances based on the rotor angle. One of the most important features of this method is that the induc

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Afma, Vera Methalina, Hery Irwan, and Elsa Berliani. "INCREASE PRODUCTION OUTPUT ON TWA 1342 MACHINE WITH OVERALL EQUIPMENT EFFECTIVENESS (OEE) METHOD (CASE STUDY: PT XYZ BATAM)." SIGMA TEKNIKA 5, no. 2 (2022): 267–74. http://dx.doi.org/10.33373/sigmateknika.v5i2.4642.

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PT XYZ Batam is a manufacturing company that produces NTC (Negative Temperature Coefficient) Sensors. This company has a Chip Dicing Department which is cutting the NTC substrate into chips and then measuring process, measuring process is checking process based on the chip resistance value by the TWA 1342 machine.Currently, the output of measuring process is not stable, so this study aims to determine the cause of low output and how to increase production output on the TWA 1342 machine with Overall Equipment Effectiveness (OEE) method. The results obtained based on calculations on the TWA 1342

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Iwakiri, Takuto, Nobuhiro Sugimura, Yoshitaka Tanimizu, Koji Iwamura, and Naoki Satonaka. "1314 The fundamental research regarding the analysis of motion deviation of the machine tool." Proceedings of Conference of Kansai Branch 2007.82 (2007): _13–14_. http://dx.doi.org/10.1299/jsmekansai.2007.82._13-14_.

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AL hajzber, Sanabel M., Ahmed J. Ali, Alya H. AL-Rifaie, and Abdullah K. Shanshal. "A comparative study for the performance operation of electric machine based on conventional and D-Q theories." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1304. http://dx.doi.org/10.11591/ijpeds.v12.i3.pp1304-1314.

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<span>Induction motors are used widely in industrial applications, thanks to their high efficiency and reliability which nominates it as a good machine used in various application. Based on the application and accuracy, modeling processes of electric machines are carried out using different mathematical methods. The most common method for modeling electrical machines is based on solution of differential equations of voltages as well as calculating the time varying self-inductances and the mutual inductances based on the rotor angle. One of the most important features of this method is th

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Nieto, Yuri, Vicente García-Díaz, and Carlos Montenegro. "Decision-making Model at Higher Educational Institutions based on Machine Learning." JUCS - Journal of Universal Computer Science 25, no. (10) (2019): 1301–22. https://doi.org/10.3217/jucs-025-10-1301.

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At Higher Educational Institutions (HEI) the high hierarchical managers and directors face many challenges during the decision-making process, that sometimes are rely on intuition, and past experiences, leading not just to delays but the low impact in the whole academic community. A decision-making model for managers and administrator of HEIs is presented. We propose a detailed methodology when academic prognosis is taking place. The comparison between five robust Machine Learning algorithms is executed accomplishing outperformed results by Support Vector Machine. As a validation experiment, w

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Muraguchi, Masakazu, Ryuho Nakaya, Souma Kawahara, Yoshitaka Itoh, and Tota Suko. "Investigation of features for prediction modeling of nanoscale conduction with time-dependent calculation of electron wave packet." Japanese Journal of Applied Physics 61, no. 4 (2022): 044001. http://dx.doi.org/10.35848/1347-4065/ac45a5.

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Abstract A model to predict the electron transmission probability from the random impurity distribution in a two-dimensional nanowire system by combining the time evolution of the electron wave function and machine learning is proposed. We have shown that the intermediate state of the time evolution calculation is advantageous for efficient modeling by machine learning. The features for machine learning are extracted by analyzing the time variation of the electron density distribution using time evolution calculations. Consequently, the prediction error of the model is improved by performing m

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Wissel, Benjamin D., Hansel M. Greiner, Tracy A. Glauser, et al. "Early identification of epilepsy surgery candidates: A multicenter, machine learning study." Acta Neurologica Scandinavica 144, no. 1 (2021): 41–50. http://dx.doi.org/10.1111/ane.13418.

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Sharma, Raj Kumar, and Manisha Jailia. "Machine learning and IoT-based garbage detection system for smart cities." Journal of Information and Optimization Sciences 44, no. 3 (2023): 393–406. http://dx.doi.org/10.47974/jios-1349.

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Today, detecting waste, collecting it, processing it, and getting rid of it are among the most significant environmental issues in developing and undeveloped counties. It has been observed that a large amount of garbage remains strewn on the roadside. This study presented a garbage detection technology such as machine learning and gadgets connected to the Internet of Things (IoT), such as an IP-enabled CCTV camera, to take pictures and send them to the city’s main server. The input images are transformed into a two-dimension array of integers using Python modules and divided into the garbage a

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Prasetyo, Prasetyo, Muhammad Adly Kurnia, and Heri Widiantoro. "Perancangan Mesin Pengupas Kulit Ari Kopi dengan Model Preskiptif Pahl & Beitz." Jurnal Rekayasa Mesin 17, no. 3 (2022): 413. http://dx.doi.org/10.32497/jrm.v17i3.3641.

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<p><em>The process of stripping the epidermis of coffee beans is an important process before the coffee bean roasting process is carried out. One of the post-harvest machines for coffee beans is a huller. As the coffee bean huller developed, there were many variations in the process. In this study, a coffee huller was designed using the Pahl &amp; Beitz prescriptive model. The design stage of the Pahl &amp; Beitz model includes initial planning, conceptual design, embodiment design, and detail design. The results of the design include 3D models using the SolidWorks applicat

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Barbero-Aparicio, José A., Alicia Olivares-Gil, José F. Díez-Pastor, and César García-Osorio. "Deep learning and support vector machines for transcription start site identification." PeerJ Computer Science 9 (April 17, 2023): e1340. http://dx.doi.org/10.7717/peerj-cs.1340.

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Recognizing transcription start sites is key to gene identification. Several approaches have been employed in related problems such as detecting translation initiation sites or promoters, many of the most recent ones based on machine learning. Deep learning methods have been proven to be exceptionally effective for this task, but their use in transcription start site identification has not yet been explored in depth. Also, the very few existing works do not compare their methods to support vector machines (SVMs), the most established technique in this area of study, nor provide the curated dat

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Grbic, Djordje, Suzanne V. Saenko, Toky M. Randriamoria, Adrien Debry, Achille P. Raselimanana, and Michel C. Milinkovitch. "Phylogeography and support vector machine classification of colour variation in panther chameleons." Molecular Ecology 24, no. 13 (2015): 3455–66. http://dx.doi.org/10.1111/mec.13241.

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Aono, Masashi. "Amoeba-inspired combinatorial optimization machines." Japanese Journal of Applied Physics 59, no. 6 (2020): 060502. http://dx.doi.org/10.35848/1347-4065/ab8e05.

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Wang, Huijiang, and Fumiya Iida. "Emotional Alignment for Human-Robot Cooperation in Musical Tasks." IOP Conference Series: Materials Science and Engineering 1321, no. 1 (2024): 012006. https://doi.org/10.1088/1757-899x/1321/1/012006.

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Abstract Current artificial intelligence (AI) studies have witnessed the widespread use of large language models (LLMs), significantly impacting human-machine interaction (HMI) by endowing machines with emotional subtleties. Despite the efficacy of LLMs, it remains a challenge for the learning-based agents to develop reliable computational emotion models, particularly for real-world human-robot teaming, due to the lack of embodiment. This paper investigates emotional alignment within physical human-robot interaction (pHRI) scenarios. We propose a theoretical framework that enables the robot to

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Jia, Yuening. "Attention Mechanism in Machine Translation." Journal of Physics: Conference Series 1314 (October 2019): 012186. http://dx.doi.org/10.1088/1742-6596/1314/1/012186.

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Kumar, Manoj, Prashant Mario Dsouza, SC Moses Rana Noor Aalam, and Ajit Paul. "A review on areca nut processing machine." International Journal of Agriculture Extension and Social Development 7, no. 11 (2024): 417–26. http://dx.doi.org/10.33545/26180723.2024.v7.i11f.1347.

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Sharma, Satyajeet, and Bhavna Sharma. "Optimized data analysis through hybrid approach over trusted security environment." Journal of Information and Optimization Sciences 44, no. 3 (2023): 331–40. http://dx.doi.org/10.47974/jios-1344.

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For those who can uncover the knowledge hidden inside this data, this offers enormous opportunity, but it also creates new difficulties. In this study, we explore how the contemporary discipline of data mining might be used to glean usable information from the data that surrounds us. k Machine learning techniques include genetic algorithms, Bayesian approaches, and nearest neighbor. By combining these approaches and algorithms, a hybrid method is created in this study. The goal is to successfully categorize data by removing any information that makes it harder to learn. According to solid fact

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Feng, Po‐Hao, Yin‐Tzu Lin, and Chung‐Ming Lo. "A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings." Medical Physics 45, no. 12 (2018): 5509–14. http://dx.doi.org/10.1002/mp.13241.

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Hojo, Daisuke, Chika Kamezawa, Kazuyuki Hyodo, and Wataru Yashiro. "Fabrication of X-ray absorption grating using an ultracentrifuge machine." Japanese Journal of Applied Physics 58, no. 8 (2019): 088003. http://dx.doi.org/10.7567/1347-4065/ab3354.

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Liu, Bao Yuan, Vin Sen Feng, and Shih Yu Chang. "Performance analysis for relay networks with hierarchical support vector machines." International Journal of Communication Systems 26, no. 3 (2011): 337–55. http://dx.doi.org/10.1002/dac.1346.

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Soumia, Kerrache, Beladgham Mohammed, Hamza Aymen, and Kadri Ibrahim. "Biometric authentication using curvelet transform." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1332–41. https://doi.org/10.11591/ijeecs.v20i3.pp1332-1341.

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In this paper, we propose a feature extraction method for two-dimensional image authentication algorithm using curvelet transform and principal component analysis (PCA). Since wavelet transform can not adequately describe facial curves features, the proposed approach involves image denoising applying a 2D-Curvelet transform to achieve compact representations of curves singularities. To assess the performance of the presented method, we have employed three classification techniques: Neural networks (NN), K-Nearest Neighbor (KNN) and Support Vector machines (SVM). Extensive experimental results

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Viberg, Daniel, and Mohammad H. Eslami. "The Effect of Machine Learning on Knowledge-Intensive R&D in the Technology Industry." Technology Innovation Management Review 10, no. 3 (2020): 88–98. http://dx.doi.org/10.22215/timreview/1340.

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