Статті в журналах з теми "Energy Efficient Machine Learning System"
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Reddy, V. Sandeep Kumar, Saravanan T., N. T. Velusudha, and T. Sunder Selwyn. "Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution." E3S Web of Conferences 387 (2023): 02005. http://dx.doi.org/10.1051/e3sconf/202338702005.
Повний текст джерелаHusainy, Avesahemad S. N., Sairam A. Patil, Atharva S. Sinfal, Vasim M. Mujawar, and Chandrashekhar S. Sinfal. "Parameter Optimization of Refrigeration Chiller by Machine Learning." Asian Journal of Electrical Sciences 12, no. 1 (June 22, 2023): 39–45. http://dx.doi.org/10.51983/ajes-2023.12.1.3684.
Повний текст джерелаWu, Qingying, Benjamin K. Ng, and Chan-Tong Lam. "Energy-Efficient Cooperative Spectrum Sensing Using Machine Learning Algorithm." Sensors 22, no. 21 (October 27, 2022): 8230. http://dx.doi.org/10.3390/s22218230.
Повний текст джерелаZhang, Huanhuan, Jigeng Li, and Mengna Hong. "Machine Learning-Based Energy System Model for Tissue Paper Machines." Processes 9, no. 4 (April 9, 2021): 655. http://dx.doi.org/10.3390/pr9040655.
Повний текст джерелаNour, Samar, Shahira Habashy, and Sameh Salem. "Energy-Efficient Cache Partitioning Using Machine Learning for Embedded Systems." Jordan Journal of Electrical Engineering 9, no. 3 (2023): 285. http://dx.doi.org/10.5455/jjee.204-1669909560.
Повний текст джерелаIsmail, Mahmoud M. "A Machine Learning Approach for Energy-Efficient IoT Systems." Journal of Intelligent Systems and Internet of Things 1, no. 1 (2020): 61–69. http://dx.doi.org/10.54216/jisiot.010105.
Повний текст джерелаWaqas Khan, Prince, Yung-Cheol Byun, Sang-Joon Lee, and Namje Park. "Machine Learning Based Hybrid System for Imputation and Efficient Energy Demand Forecasting." Energies 13, no. 11 (May 26, 2020): 2681. http://dx.doi.org/10.3390/en13112681.
Повний текст джерелаDixit, Abhishek, and Santosh Kumar. "Machine Learning Based Efficient Protection Scheme for AC Microgrid." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 10, no. 4 (December 31, 2022): 18–23. http://dx.doi.org/10.55083/irjeas.2022.v10i04009.
Повний текст джерелаKhan, Murad, Junho Seo, and Dongkyun Kim. "Towards Energy Efficient Home Automation: A Deep Learning Approach." Sensors 20, no. 24 (December 15, 2020): 7187. http://dx.doi.org/10.3390/s20247187.
Повний текст джерелаLee, Jin-Hyun, Hye-In Lee, Kyoung-Hwan Ji, and Young-Hum Cho. "Optimal Economizer Control of VAV System using Machine Learning." E3S Web of Conferences 396 (2023): 03034. http://dx.doi.org/10.1051/e3sconf/202339603034.
Повний текст джерелаLokesh, Nitish, and Dr Pawan Kumar. "Billing System using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1420–26. http://dx.doi.org/10.22214/ijraset.2022.41546.
Повний текст джерелаKang, Minseon, Yongseok Lee, and Moonju Park. "Energy Efficiency of Machine Learning in Embedded Systems Using Neuromorphic Hardware." Electronics 9, no. 7 (June 30, 2020): 1069. http://dx.doi.org/10.3390/electronics9071069.
Повний текст джерелаSankar, Sasirekha, S. Amudha, P. Madhavan, and Dev Krishna Lamba. "Energy Efficient Medium-Term Wind Speed Prediction System using Machine Learning Models." IOP Conference Series: Materials Science and Engineering 1130, no. 1 (April 1, 2021): 012085. http://dx.doi.org/10.1088/1757-899x/1130/1/012085.
Повний текст джерелаTrivedi, Vijay K. "Energy Aware Routing Protocol with Data Fusion and Machine Learning." International Journal of Wireless and Ad Hoc Communication 5, no. 1 (2022): 22–35. http://dx.doi.org/10.54216/ijwac.050102.
Повний текст джерелаTalei, Hanaa, Driss Benhaddou, Carlos Gamarra, Houda Benbrahim, and Mohamed Essaaidi. "Smart Building Energy Inefficiencies Detection through Time Series Analysis and Unsupervised Machine Learning." Energies 14, no. 19 (September 23, 2021): 6042. http://dx.doi.org/10.3390/en14196042.
Повний текст джерелаDarus, Muhamad Firdaus, Fakrulradzi Idris, and Norlezah Hashim. "Energy-efficient non-orthogonal multiple access for wireless communication system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 1654. http://dx.doi.org/10.11591/ijece.v13i2.pp1654-1668.
Повний текст джерелаK., Babu, Sivasubramanian S., Nivetha C.S., Senthil Kumar R., and Mohana Soundari. "Intelligent Energy Management System for Smart Grids Using Machine Learning Algorithms." E3S Web of Conferences 387 (2023): 05004. http://dx.doi.org/10.1051/e3sconf/202338705004.
Повний текст джерелаCaliskan, Abdullah, Conor O’Brien, Krishna Panduru, Joseph Walsh, and Daniel Riordan. "An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing." Sustainability 15, no. 12 (June 8, 2023): 9272. http://dx.doi.org/10.3390/su15129272.
Повний текст джерелаM.Prakash, U., Priyanshu Madan, K. R. GokulAnand, and S. Prabhakaran. "Intelligent Lighting System and Garbage Monitoring System." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 876. http://dx.doi.org/10.14419/ijet.v7i3.12.16554.
Повний текст джерелаA., Nagesh*. "Energy Audit System for Households using Machine Learning." Regular issue 10, no. 7 (May 30, 2021): 33–36. http://dx.doi.org/10.35940/ijitee.g8895.0510721.
Повний текст джерелаKhirirat, Sarit, Sindri Magnússon, Arda Aytekin, and Mikael Johansson. "A Flexible Framework for Communication-Efficient Machine Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8101–9. http://dx.doi.org/10.1609/aaai.v35i9.16987.
Повний текст джерелаAbebe, Misganaw, Yongwoo Shin, Yoojeong Noh, Sangbong Lee, and Inwon Lee. "Machine Learning Approaches for Ship Speed Prediction towards Energy Efficient Shipping." Applied Sciences 10, no. 7 (March 28, 2020): 2325. http://dx.doi.org/10.3390/app10072325.
Повний текст джерелаLeonowicz, Zbigniew, and Michal Jasinski. "Machine Learning and Data Mining Applications in Power Systems." Energies 15, no. 5 (February 24, 2022): 1676. http://dx.doi.org/10.3390/en15051676.
Повний текст джерелаLiu, Junxia, and Wen Liu. "CA Energy Saving Joint Resource Optimization Scheme Based on 5G Channel Information Prediction of Machine Learning." Sustainability 14, no. 24 (December 19, 2022): 17012. http://dx.doi.org/10.3390/su142417012.
Повний текст джерелаBaidoo, Charity Yaa Mansa, Winfred Yaokumah, and Ebenezer Owusu. "Estimating Overhead Performance of Supervised Machine Learning Algorithms for Intrusion Detection." International Journal of Information Technologies and Systems Approach 16, no. 1 (February 3, 2023): 1–19. http://dx.doi.org/10.4018/ijitsa.316889.
Повний текст джерелаN, Miss Swapna, and Mrs Renuka Malge. "Classification and Detection of Bone Fracture Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 1636–40. http://dx.doi.org/10.22214/ijraset.2022.45523.
Повний текст джерелаHuang, Xiaoyan, Ke Zhang, Fan Wu, and Supeng Leng. "Collaborative Machine Learning for Energy-Efficient Edge Networks in 6G." IEEE Network 35, no. 6 (November 2021): 12–19. http://dx.doi.org/10.1109/mnet.100.2100313.
Повний текст джерелаAlhmiedat, Tareq. "Fingerprint-Based Localization Approach for WSN Using Machine Learning Models." Applied Sciences 13, no. 5 (February 27, 2023): 3037. http://dx.doi.org/10.3390/app13053037.
Повний текст джерелаCardoso, Daniel, Daniel Nunes, João Faria, Paulo Fael, and Pedro D. Gaspar. "Intelligent Micro-Cogeneration Systems for Residential Grids: A Sustainable Solution for Efficient Energy Management." Energies 16, no. 13 (July 6, 2023): 5215. http://dx.doi.org/10.3390/en16135215.
Повний текст джерелаOh, Myeung Suk, Gibum Kim, and Hyuncheol Park. "Machine-Learning-Based Link Adaptation for Energy-Efficient MIMO-OFDM Systems." Journal of Korean Institute of Electromagnetic Engineering and Science 27, no. 5 (June 7, 2016): 407–15. http://dx.doi.org/10.5515/kjkiees.2016.27.5.407.
Повний текст джерелаKaushik, Akshay, and Varun Goel. "Building an Efficient Intrusion Detection System using Feature Selection and Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 5314–23. http://dx.doi.org/10.22214/ijraset.2022.43434.
Повний текст джерелаChatterjee, Rajdeep, Oindrila Das, Ridam Kundu, and Soumik Podder. "Machine Learning Inspired Smart Agriculture System with Crop Prediction." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 1511–17. http://dx.doi.org/10.22214/ijraset.2023.48841.
Повний текст джерелаNoori, Nematullah, Vyenkatesh Bawanthad, Mayur Pakhare, Ramashray Agrawal, and Vinod Kimbahune. "Phishing URL Detection using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 3645–48. http://dx.doi.org/10.22214/ijraset.2023.52342.
Повний текст джерелаMittal, Mohit, Rocío Pérez de Prado, Yukiko Kawai, Shinsuke Nakajima, and José E. Muñoz-Expósito. "Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks." Energies 14, no. 11 (May 27, 2021): 3125. http://dx.doi.org/10.3390/en14113125.
Повний текст джерелаR., Udendhran, Sasikala R., Nishanthi R., and Vasanthi J. "Smart Energy Consumption Control in Commercial Buildings Using Machine Learning and IOT." E3S Web of Conferences 387 (2023): 02003. http://dx.doi.org/10.1051/e3sconf/202338702003.
Повний текст джерелаReddy, Suraka Maha Lakshmi, and Adusumilli Yagna Gayathri. "Healthcare Monitoring System for Diabetic Patients Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 122–32. http://dx.doi.org/10.22214/ijraset.2022.47262.
Повний текст джерелаKhabbouchi, Imed, Dhaou Said, Aziz Oukaira, Idir Mellal, and Lyes Khoukhi. "Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)." Energies 16, no. 5 (February 24, 2023): 2179. http://dx.doi.org/10.3390/en16052179.
Повний текст джерелаKhac Le, Hung, and SoYoung Kim. "Machine Learning Based Energy-Efficient Design Approach for Interconnects in Circuits and Systems." Applied Sciences 11, no. 3 (January 20, 2021): 915. http://dx.doi.org/10.3390/app11030915.
Повний текст джерелаNeelaveni, Dr R., Abhinav ., and Sahas . "Analysis of Efficient Intrusion Detection System using Ensemble Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 1521–30. http://dx.doi.org/10.22214/ijraset.2023.51858.
Повний текст джерелаForootan, Mohammad Mahdi, Iman Larki, Rahim Zahedi, and Abolfazl Ahmadi. "Machine Learning and Deep Learning in Energy Systems: A Review." Sustainability 14, no. 8 (April 18, 2022): 4832. http://dx.doi.org/10.3390/su14084832.
Повний текст джерелаLokesh, Nitish, and Dr Pawan Kumar. "A Literature Review on Billing System using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 645–48. http://dx.doi.org/10.22214/ijraset.2022.41199.
Повний текст джерелаR, Praveenkumar, Kirthika ., Durai Arumugam, and Dinesh . "Hybridization of Machine Learning Techniques for WSN Optimal Cluster Head Selection." International Journal of Electrical and Electronics Research 11, no. 2 (June 19, 2023): 426–33. http://dx.doi.org/10.37391/ijeer.110224.
Повний текст джерелаAladwani, Habeeb A. H. R., Mohd Khairol Anuar Ariffin, and Faizal Mustapha. "A supervised machine-learning method for optimizing the automatic transmission system of wind turbines." Engineering Solid Mechanics 10, no. 1 (2022): 35–56. http://dx.doi.org/10.5267/j.esm.2021.11.001.
Повний текст джерелаTovar, Nathaniel, Sean (Seok-Chul) Kwon, and Jinseong Jeong. "Image Upscaling with Deep Machine Learning for Energy-Efficient Data Communications." Electronics 12, no. 3 (January 30, 2023): 689. http://dx.doi.org/10.3390/electronics12030689.
Повний текст джерелаLi, Sijia, Arman Oshnoei, Frede Blaabjerg, and Amjad Anvari-Moghaddam. "Hierarchical Control for Microgrids: A Survey on Classical and Machine Learning-Based Methods." Sustainability 15, no. 11 (June 1, 2023): 8952. http://dx.doi.org/10.3390/su15118952.
Повний текст джерелаPandey, Mrs Arjoo. "Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (August 31, 2023): 864–69. http://dx.doi.org/10.22214/ijraset.2023.55224.
Повний текст джерелаGayke, Prof P. S., Gaurav Bhise, Nikhil Bhor, Jagdish Bhagwat, and Tanvi Alkute. "An Efficient Spam Detection Technique for IoT Devices Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 7534–37. http://dx.doi.org/10.22214/ijraset.2023.53527.
Повний текст джерелаStyła, Michał, Bartłomiej Kiczek, Grzegorz Kłosowski, Tomasz Rymarczyk, Przemysław Adamkiewicz, Dariusz Wójcik, and Tomasz Cieplak. "Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings." Energies 16, no. 1 (December 27, 2022): 275. http://dx.doi.org/10.3390/en16010275.
Повний текст джерелаAlagumalai, Avinash, Balaji Devarajan, Hua Song, Somchai Wongwises, Rodrigo Ledesma-Amaro, Omid Mahian, Mikhail Sheremet, and Eric Lichtfouse. "Machine learning in biohydrogen production: a review." Biofuel Research Journal 10, no. 2 (June 1, 2023): 1844–58. http://dx.doi.org/10.18331/brj2023.10.2.4.
Повний текст джерелаPetruschke, L., G. Elserafi, B. Ioshchikhes, and M. Weigold. "MACHINE LEARNING BASED IDENTIFICATION OF ENERGY EFFICIENCY MEASURES FOR MACHINE TOOLS USING LOAD PROFILES AND MACHINE SPECIFIC META DATA." MM Science Journal 2021, no. 5 (November 3, 2021): 5061–68. http://dx.doi.org/10.17973/mmsj.2021_11_2021153.
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