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Machine learning techniques: A systematic review 机器学习技术:系统回顾
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00016.5
Suhel Mustajab
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引用次数: 11
Virtualization and Cloud Security: A Review 虚拟化和云安全:综述
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762X.2020.00022.0
C. Kumar, J. Srivastava, G. Agarwal
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引用次数: 0
Stress on Employees during ‘Unlock-1’ Vs. ‘Unlock-2’: A Comparative Study “解锁1”与“解锁2”期间员工压力的比较研究
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762X.2020.00021.9
Hanuman Sharma, Smriti Sharma
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引用次数: 0
A status report on biohydrogen production from algae 藻类生物制氢研究现状报告
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00007.4
P. Rai, Harshita Singh, Zeba Mueed, Manish Kumar, Anand Kumar
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引用次数: 3
A Comprehensive Review on Parameters Influencing the Performance of Solar Stills 影响太阳能蒸馏器性能的参数综述
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762X.2020.00020.7
Ashwin Shrivastava, Devendra Singh, A. Sharma
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引用次数: 0
Fabrication and characterization of a novel cow dung-polymer composite packaging film 新型牛粪-聚合物复合包装膜的制备与表征
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00008.6
S. Chaturvedi, Ajitanshu Vedrtnam, Saurav Kumar, Dheeraj Gunwant
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引用次数: 2
A novel approach for the study and analysis in designing system of smart grid 为智能电网系统设计提供了一种新的研究和分析方法
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x2020.00011.6
Sadaf Qasim, Smita Dinker
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引用次数: 0
Improving Bending Behaviour of Laminated Glass Using Novel Treatment Methods 利用新型处理方法改善夹层玻璃的弯曲性能
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00002.5
Shashkant Chaturvedi, Saurav Kumar, A. Vedrtnam
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引用次数: 0
21 Level inverter topologies 21电平逆变器拓扑
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00014.1
P. Kamalakar, B. Suresh, Upendar Jalla
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引用次数: 0
Particle Swarm Optimisation Based Feature Selection for Software Effort Prediction Using Supervised Machine Learning and Ensemble Methods: A Comparative Study 基于粒子群优化的基于监督机器学习和集成方法的软件工作量预测特征选择的比较研究
Invertis Journal of Science & Technology Pub Date : 2020-01-01 DOI: 10.5958/2454-762x.2020.00004.9
Mohammad Zubair Khan
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引用次数: 6
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