Journal articles on the topic 'Appliance classification'
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Faustine, Anthony, and Lucas Pereira. "Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks." Energies 13, no. 13 (July 1, 2020): 3374. http://dx.doi.org/10.3390/en13133374.
Full textJiang, Lei, Jiaming Li, Suhuai Luo, Sam West, and Glenn Platt. "Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine." Applied Computational Intelligence and Soft Computing 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/742461.
Full textMatindife, Liston, Yanxia Sun, and Zenghui Wang. "A Machine-Learning Based Nonintrusive Smart Home Appliance Status Recognition." Mathematical Problems in Engineering 2020 (September 18, 2020): 1–21. http://dx.doi.org/10.1155/2020/9356165.
Full textKim, Hwan, and Sungsu Lim. "Temporal Patternization of Power Signatures for Appliance Classification in NILM." Energies 14, no. 10 (May 19, 2021): 2931. http://dx.doi.org/10.3390/en14102931.
Full textKulkarni, Anand Sunil, Cindy K. Harnett, and Karla Conn Welch. "EMF Signature for Appliance Classification." IEEE Sensors Journal 15, no. 6 (June 2015): 3573–81. http://dx.doi.org/10.1109/jsen.2014.2379113.
Full textBaptista, Darío, Sheikh Mostafa, Lucas Pereira, Leonel Sousa, and Fernando Morgado-Dias. "Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (V-I) Trajectory." Energies 11, no. 9 (September 17, 2018): 2460. http://dx.doi.org/10.3390/en11092460.
Full textFaustine, Anthony, and Lucas Pereira. "Multi-Label Learning for Appliance Recognition in NILM Using Fryze-Current Decomposition and Convolutional Neural Network." Energies 13, no. 16 (August 11, 2020): 4154. http://dx.doi.org/10.3390/en13164154.
Full textMatindife, L., Y. Sun, and Z. Wang. "Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition." Computational Intelligence and Neuroscience 2022 (August 23, 2022): 1–14. http://dx.doi.org/10.1155/2022/2142935.
Full textAzizi, Elnaz, Mohammad T. H. Beheshti, and Sadegh Bolouki. "Event Matching Classification Method for Non-Intrusive Load Monitoring." Sustainability 13, no. 2 (January 12, 2021): 693. http://dx.doi.org/10.3390/su13020693.
Full textMassidda, Luca, Marino Marrocu, and Simone Manca. "Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification." Applied Sciences 10, no. 4 (February 21, 2020): 1454. http://dx.doi.org/10.3390/app10041454.
Full textYan, Da, Yuan Jin, Hongsan Sun, Bing Dong, Zi Ye, Zhaoxuan Li, and Yanping Yuan. "Household appliance recognition through a Bayes classification model." Sustainable Cities and Society 46 (April 2019): 101393. http://dx.doi.org/10.1016/j.scs.2018.12.021.
Full textSadeghianpourhamami, N., J. Ruyssinck, D. Deschrijver, T. Dhaene, and C. Develder. "Comprehensive feature selection for appliance classification in NILM." Energy and Buildings 151 (September 2017): 98–106. http://dx.doi.org/10.1016/j.enbuild.2017.06.042.
Full textWójcik, Augustyn, Piotr Bilski, Robert Łukaszewski, Krzysztof Dowalla, and Ryszard Kowalik. "Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator." Energies 14, no. 3 (January 28, 2021): 673. http://dx.doi.org/10.3390/en14030673.
Full textDe Baets, Leen, Joeri Ruyssinck, Chris Develder, Tom Dhaene, and Dirk Deschrijver. "Appliance classification using VI trajectories and convolutional neural networks." Energy and Buildings 158 (January 2018): 32–36. http://dx.doi.org/10.1016/j.enbuild.2017.09.087.
Full textHegde, Rakshith M. D., and Harish H. Kenchannavar. "A Survey on Predicting Resident Intentions Using Contextual Modalities in Smart Home." International Journal of Advanced Pervasive and Ubiquitous Computing 11, no. 4 (October 2019): 44–59. http://dx.doi.org/10.4018/ijapuc.2019100104.
Full textSingh, Shikha, Emilie Chouzenoux, Giovanni Chierchia, and Angshul Majumdar. "Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring." ACM Transactions on Knowledge Discovery from Data 16, no. 5 (October 31, 2022): 1–6. http://dx.doi.org/10.1145/3502729.
Full textAina, Segun, Samuel Dayo Okegbile, Perfect Makanju, and Adeniran Ishola Oluwaranti. "An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System." International Journal of Ambient Computing and Intelligence 10, no. 2 (April 2019): 18–33. http://dx.doi.org/10.4018/ijaci.2019040102.
Full textNguyen, Vanh Khuyen, Wei Emma Zhang, and Adnan Mahmood. "Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System." ACM Transactions on Sensor Networks 17, no. 3 (June 21, 2021): 1–20. http://dx.doi.org/10.1145/3448415.
Full textHur, Cheong-Hwan, Han-Eum Lee, Young-Joo Kim, and Sang-Gil Kang. "Semi-Supervised Domain Adaptation for Multi-Label Classification on Nonintrusive Load Monitoring." Sensors 22, no. 15 (August 4, 2022): 5838. http://dx.doi.org/10.3390/s22155838.
Full textWang, Zeyu, and Ravi Srinivasan. "Classification of Household Appliance Operation Cycles: A Case-Study Approach." Energies 8, no. 9 (September 22, 2015): 10522–36. http://dx.doi.org/10.3390/en80910522.
Full textShafqat, Wafa, Kyu-Tae Lee, and Do-Hyeun Kim. "A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification." Sensors 23, no. 1 (December 23, 2022): 127. http://dx.doi.org/10.3390/s23010127.
Full textHu, Yu-Chen, Yu-Hsiu Lin, and Harinahalli Lokesh Gururaj. "Partitional Clustering-Hybridized Neuro-Fuzzy Classification Evolved through Parallel Evolutionary Computing and Applied to Energy Decomposition for Demand-Side Management in a Smart Home." Processes 9, no. 9 (August 29, 2021): 1539. http://dx.doi.org/10.3390/pr9091539.
Full textChahine, Khaled. "Towards automatic setup of non intrusive appliance load monitoring – feature extraction and clustering." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (April 1, 2019): 1002. http://dx.doi.org/10.11591/ijece.v9i2.pp1002-1011.
Full textLiu, Hui, Haiping Wu, and Chenming Yu. "A hybrid model for appliance classification based on time series features." Energy and Buildings 196 (August 2019): 112–23. http://dx.doi.org/10.1016/j.enbuild.2019.05.028.
Full textCannas, Barbara, Sara Carcangiu, Daniele Carta, Alessandra Fanni, and Carlo Muscas. "Selection of Features Based on Electric Power Quantities for Non-Intrusive Load Monitoring." Applied Sciences 11, no. 2 (January 7, 2021): 533. http://dx.doi.org/10.3390/app11020533.
Full textCannas, Barbara, Sara Carcangiu, Daniele Carta, Alessandra Fanni, and Carlo Muscas. "Selection of Features Based on Electric Power Quantities for Non-Intrusive Load Monitoring." Applied Sciences 11, no. 2 (January 7, 2021): 533. http://dx.doi.org/10.3390/app11020533.
Full textKim, Jihyun, Thi-Thu-Huong Le, and Howon Kim. "Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature." Computational Intelligence and Neuroscience 2017 (2017): 1–22. http://dx.doi.org/10.1155/2017/4216281.
Full textPiccialli, Veronica, and Antonio M. Sudoso. "Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network." Energies 14, no. 4 (February 5, 2021): 847. http://dx.doi.org/10.3390/en14040847.
Full textFedorova, E. A., L. E. Khrustova, and D. V. Chekrizov. "Industry characteristic of bankruptcy prediction models appliance." Strategic decisions and risk management, no. 1 (May 25, 2018): 64–71. http://dx.doi.org/10.17747/2078-8886-2018-1-64-71.
Full textMatviichuk, A. D. "BICYCLES CLASSIFICATION APPLIANCE BY JUDICIAL EXPERT DURING CARRYING OUT THE TRADE EXAMINATION." Uzhhorod National University Herald. Series: Law 58, no. 2 (2019): 151–55. http://dx.doi.org/10.32782/2307-3322.58-2.33.
Full textJodeh, Diana S., Stephen Ruso, Randy Feldman, Ernesto Ruas, and S. Alex Rottgers. "Clinical Outcomes Utilizing a “Modified Latham” Appliance for Presurgical Infant Orthopedics in Patients With Unilateral Complete Cleft Lip and Palate." Cleft Palate-Craniofacial Journal 56, no. 7 (December 9, 2018): 929–35. http://dx.doi.org/10.1177/1055665618816892.
Full textYoana, Y., Eka Chemiawan, and Arlette Suzy Setiawan. "Dentoalveolar changes in post-twin block appliance orthodontic treatment class II dentoskeletal malocclusion." Dental Journal (Majalah Kedokteran Gigi) 50, no. 4 (December 30, 2017): 211. http://dx.doi.org/10.20473/j.djmkg.v50.i4.p211-215.
Full textRafiq, Hasan, Xiaohan Shi, Hengxu Zhang, Huimin Li, and Manesh Kumar Ochani. "A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing." Energies 13, no. 9 (May 2, 2020): 2195. http://dx.doi.org/10.3390/en13092195.
Full textChahine, Khaled, and Khalil El Khamlichi Drissi. "A Novel Feature Extraction Method for Nonintrusive Appliance Load Monitoring." Applied Computational Intelligence and Soft Computing 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/686345.
Full textKim, Jin-Gyeom, and Bowon Lee. "Appliance Classification by Power Signal Analysis Based on Multi-Feature Combination Multi-Layer LSTM." Energies 12, no. 14 (July 21, 2019): 2804. http://dx.doi.org/10.3390/en12142804.
Full textCuñado, J. R., and N. B. Linsangan. "A Supervised Learning Approach to Appliance Classification Based on Power Consumption Traces Analysis." IOP Conference Series: Materials Science and Engineering 517 (April 26, 2019): 012011. http://dx.doi.org/10.1088/1757-899x/517/1/012011.
Full textLe, Thi-Thu-Huong, Hyoeun Kang, and Howon Kim. "Household Appliance Classification Using Lower Odd-Numbered Harmonics and the Bagging Decision Tree." IEEE Access 8 (2020): 55937–52. http://dx.doi.org/10.1109/access.2020.2981969.
Full textWali, S., M. H. U. Haq, M. Kazmi, and S. A. Qazi. "An End-to-End Machine Learning based Unified Architecture for Non-Intrusive Load Monitoring." Engineering, Technology & Applied Science Research 11, no. 3 (June 10, 2021): 7217–22. http://dx.doi.org/10.48084/etasr.4142.
Full textRogers, Kim, Phillip M. Campbell, Larry Tadlock, Emet Schneiderman, and Peter H. Buschang. "Treatment changes of hypo- and hyperdivergent Class II Herbst patients." Angle Orthodontist 88, no. 1 (October 10, 2017): 3–9. http://dx.doi.org/10.2319/060117-369.1.
Full textLiu, Yu, Yan Wang, Yu Hong, Qianyun Shi, Shan Gao, and Xueliang Huang. "Toward Robust Non-Intrusive Load Monitoring via Probability Model Framed Ensemble Method." Sensors 21, no. 21 (November 1, 2021): 7272. http://dx.doi.org/10.3390/s21217272.
Full textRimskaya, O. N., and I. V. Anokhov. "DIGITAL TWINS AND THEIR APPLIANCE IN TRANSPORT ECONOMICS." Strategic decisions and risk management 12, no. 2 (December 14, 2021): 127–37. http://dx.doi.org/10.17747/2618-947x-2021-2-127-137.
Full textLarasati, Astari, Pinta Marito, Laura Susanti Himawan, and Ira Tanti. "Migraine and temporomandibular disorder triggered by stress-induced bruxism: a case report." Makassar Dental Journal 11, no. 3 (December 19, 2022): 286–90. http://dx.doi.org/10.35856/mdj.v11i3.643.
Full textKoutroumpina, Christina, Spyros Sioutas, Stelios Koutroubinas, and Kostas Tsichlas. "Evaluation of Features Generated by a High-End Low-Cost Electrical Smart Meter." Algorithms 14, no. 11 (October 25, 2021): 311. http://dx.doi.org/10.3390/a14110311.
Full textHouidi, Sarra, Dominique Fourer, François Auger, Houda Ben Attia Sethom, and Laurence Miègeville. "Comparative Evaluation of Non-Intrusive Load Monitoring Methods Using Relevant Features and Transfer Learning." Energies 14, no. 9 (May 10, 2021): 2726. http://dx.doi.org/10.3390/en14092726.
Full textShin, Changho, Seungeun Rho, Hyoseop Lee, and Wonjong Rhee. "Data Requirements for Applying Machine Learning to Energy Disaggregation." Energies 12, no. 9 (May 5, 2019): 1696. http://dx.doi.org/10.3390/en12091696.
Full textSales Mendes, André, Gabriel Villarrubia González, Juan Francisco De Paz, Alberto López Barriuso, and Álvaro Lozano Murciego. "Coin Recognition Approach in Social Environments Using Virtual Organizations of Agents." Applied Sciences 9, no. 6 (March 25, 2019): 1252. http://dx.doi.org/10.3390/app9061252.
Full textSankhye, Sidharth, and Guiping Hu. "Machine Learning Methods for Quality Prediction in Production." Logistics 4, no. 4 (December 21, 2020): 35. http://dx.doi.org/10.3390/logistics4040035.
Full textNasser, Dr Najim O. "The effect of design on Removable Partial Dentures." Mustansiria Dental Journal 11, no. 1 (February 26, 2018): 43–47. http://dx.doi.org/10.32828/mdj.v11i1.212.
Full textUjager, Farhan Sabir, and Azhar Mahmood. "A Context-Aware Accurate Wellness Determination (CAAWD) Model for Elderly People Using Lazy Associative Classification." Sensors 19, no. 7 (April 3, 2019): 1613. http://dx.doi.org/10.3390/s19071613.
Full textDesai, Sanket, Rabei Alhadad, Abdun Mahmood, Naveen Chilamkurti, and Seungmin Rho. "Multi-State Energy Classifier to Evaluate the Performance of the NILM Algorithm." Sensors 19, no. 23 (November 28, 2019): 5236. http://dx.doi.org/10.3390/s19235236.
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