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Relevant bibliographies by topics / Efficient Net

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Academic literature on the topic 'Efficient Net'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Efficient Net"

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Zamani, Pouya. "Statistical properties of proportional residual energy intake as a new measure of energetic efficiency." Journal of Dairy Research 84, no. 3 (2017): 248–53. http://dx.doi.org/10.1017/s0022029917000395.

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Traditional ratio measures of efficiency, including feed conversion ratio (FCR), gross milk efficiency (GME), gross energy efficiency (GEE) and net energy efficiency (NEE) may have some statistical problems including high correlations with milk yield. Residual energy intake (REI) or residual feed intake (RFI) is another criterion, proposed to overcome the problems attributed to the traditional ratio criteria, but it does not account for production or intake levels. For example, the same REI value could be considerable for low producing and negligible for high producing cows. The aim of this st

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Nahar, Surendra, and Sartaj Sahni. "Time and space efficient net extractor." Computer-Aided Design 20, no. 1 (1988): 17–26. http://dx.doi.org/10.1016/0010-4485(88)90137-6.

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Sabrin, F., M. A. Uddin, and A. K. F. Haque. "Applicability of Vaisburd and Evdokimov Model to Ionic Targets." Journal of Scientific Research 4, no. 2 (2012): 307. http://dx.doi.org/10.3329/jsr.v4i2.8704.

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The Vaisburd and Evdokimov proposed an empirical model to calculate the electron impact single ionization cross-sections of atoms and molecules. The model has been applied to some atoms and molecules. To examine the efficiency of the model, the present work applies the model to calculate cross-sections for Ne-isonuclear series Ne+, Ne2+, Ne3+, Ne4+, Ne5+, Ne6+, Ne7+, Ne8+, Ne9+ . The separate sets of values of the parameters of the model are determined by comparison with the available experimental data using a non-linear least-squares fitting computer code. Keywords: Electron impact ionization

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Xie, Liuyue, Tinglin Duan, and Kenji Shimada. "SAGA-net." ACM SIGAPP Applied Computing Review 22, no. 2 (2022): 21–33. http://dx.doi.org/10.1145/3558053.3558055.

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In this paper, we propose a real-time shape-assisted graph attention neural network to perform local pointcloud repairment. The orderless pointclouds require an effective shape encoder to distill local and global geometric feature descriptors. Previous work has attempted to convert pointcloud representation into a voxelized shape or perform grid-transformations. While these approaches can subsequently allow common convolution operations on the structured data, they either pose additional computational cost or disrupt the local geometric information. We present SAGA-Net, an efficient graph atte

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Kundur, N. C., and P. B. Mallikarjuna. "Deep Convolutional Neural Network Architecture for Plant Seedling Classification." Engineering, Technology & Applied Science Research 12, no. 6 (2022): 9464–70. http://dx.doi.org/10.48084/etasr.5282.

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Weed control is essential in agriculture since weeds reduce yields, increase production cost, impede harvesting, and degrade product quality. As a result, it is indeed critical to recognize weeds early in their vegetation cycle to evade negative impacts to crop growth. Earlier traditional methods used machine learning to determine crops along with weed species, but they had issues with weed detection efficiency at early growth stages. The current work proposes the implementation of a deep learning method that provides accurate results for precise weed recognition. Two different deep convolutio

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Deng, Yunjiao, Yulei Hou, Jiangtao Yan, and Daxing Zeng. "ELU-Net: An Efficient and Lightweight U-Net for Medical Image Segmentation." IEEE Access 10 (2022): 35932–41. http://dx.doi.org/10.1109/access.2022.3163711.

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Shu, Xin, Feng Chang, Xin Zhang, Changbin Shao, and Xibei Yang. "ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation." Biomedical Signal Processing and Control 75 (May 2022): 103528. http://dx.doi.org/10.1016/j.bspc.2022.103528.

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Nayak, Dillip Ranjan, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail Zymbler, and Sachin Kumar. "Brain Tumor Classification Using Dense Efficient-Net." Axioms 11, no. 1 (2022): 34. http://dx.doi.org/10.3390/axioms11010034.

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Brain tumors are most common in children and the elderly. It is a serious form of cancer caused by uncontrollable brain cell growth inside the skull. Tumor cells are notoriously difficult to classify due to their heterogeneity. Convolutional neural networks (CNNs) are the most widely used machine learning algorithm for visual learning and brain tumor recognition. This study proposed a CNN-based dense EfficientNet using min-max normalization to classify 3260 T1-weighted contrast-enhanced brain magnetic resonance images into four categories (glioma, meningioma, pituitary, and no tumor). The deve

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Felix, Jose Manuel, and Francisco Ortin. "Efficient Aspect Weaver for the .Net Platform." IEEE Latin America Transactions 13, no. 5 (2015): 1534–41. http://dx.doi.org/10.1109/tla.2015.7112012.

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Vishwa, Chandra Jajula, Maddala Akshay, Venkat Narayana Kotha Veera, Kumar Medabalimi Sasi, and Anurag P. Nancy. "Lung Cancer Detection using Efficient Net - B0." International Journal for Modern Trends in Science and Technology 11, no. 04 (2025): 373–76. https://doi.org/10.5281/zenodo.15168353.

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<em>Lung cancer remains a leading cause of cancer-related deaths worldwide, with early detection being crucial for improving survival rates. Traditional diagnostic approaches rely on manual assessment by radiologists, which can be time-consuming and prone to human error. This paper presents an AI-powered Lung Cancer Detection System utilizing deep learning models, specifically EfficientNet-B0, to classify lung CT scans into different stages. The system is designed with an interactive user interface built using Streamlit and performs model inference using PyTorch. Advanced image preprocessing t

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Dissertations / Theses on the topic "Efficient Net"

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Cheung, Kai-man Felix, and 張繼文. "Efficient algorithms for semantic net construction and maintenance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227259.

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Murphy, Kevin M. (Kevin Michael). "Sustainable and energy-efficient development interventions and their application toward net-zero or net-positive energy and water building development." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/111401.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, June 2017.<br>"September 2016." Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 94).<br>The built environment consumes more than 40% of the energy used around the world and nearly 70% of the electricity used in the United States. These same buildings use 25% of the world's fresh water resources and contribute 50% of global waste. In order to make the buildings we inhabit more resource-efficient, str

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Dillon, Krystal Renee. "A simulation-optimization method for economic efficient design of net zero energy buildings." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51909.

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Buildings have a significant impact on energy usage and the environment. Much of the research in architectural sustainability has centered on economically advanced countries because they consume the most energy and have the most resources. However, sustainable architecture is important in developing countries, where the energy consumption of the building sector is increasing significantly. Currently, developing countries struggle with vaccine storage because vaccines are typically warehoused in old buildings that are poorly designed and wasteful of energy. This thesis created and studied a

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Ahrens, Markus [Verfasser]. "Efficient Algorithms for Routing a Net Subject to VLSI Design Rules / Markus Ahrens." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1224966090/34.

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Bharkhada, Bharat Kishore. "Efficient Fpga Implementation of a Generic Function Approximator and Its Application to Neural Net Computation." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060978658.

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Grobler, Willem Christoffel. "Investigating net ideal cycle time estimation and efficient buffer allocation for Body-in-White production lines." Thesis, University of Pretoria, 2017. http://hdl.handle.net/2263/62774.

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LaMantia, Rachel Zoe, and Rachel Zoe LaMantia. "VERSAE: A Method for Developing Sustainable, Affordable and Energy Efficient Net-Zero Housing Linking Back to Vernacular Architecture." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/620726.

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The intent of this study was to design produce a comprehensible but user-friendly method that would provide a step-by-step process and guide in originating sustainable, affordable and energy efficient net-zero residential housing. The right-step procedure of the VERSAE Method was linked to the traditional vernacular architecture of the Hopi, a Native American people who still reside on part of their aboriginal lands in northeastern Arizona. The process combined traditional strategies identified in local vernacular Hopi architecture with modern strategies to successfully design sustainable, a

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Zhang, Yingying. "Algorithms and Data Structures for Efficient Timing Analysis of Asynchronous Real-time Systems." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4622.

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This thesis presents a framework to verify asynchronous real-time systems based on model checking. These systems are modeled by using a common modeling formalism named Labeled Petri-nets(LPNs). In order to verify the real-time systems algorithmically, the zone-based timing analysis method is used for LPNs. It searches the state space with timing information (represented by zones). When there is a high degree of concurrency in the model, firing concurrent enabled transitions in different order may result in different zones, and these zones may be combined without affecting the verification resu

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Berry, Stephen. "Toward net zero carbon homes: can the utilisation of commonly available renewable energy and energy efficient technologies allow an existing home to be retrofitted to be operationally carbon neutral?" Thesis, Berry, Stephen (2010) Toward net zero carbon homes: can the utilisation of commonly available renewable energy and energy efficient technologies allow an existing home to be retrofitted to be operationally carbon neutral? Masters by Coursework thesis, Murdoch University, 2010. https://researchrepository.murdoch.edu.au/id/eprint/4170/.

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The energy performance and greenhouse gas impact of homes has been at the forefront of Australian climate change mitigation policy discussion for several decades. Various levels of government have acted to improve the energy and carbon efficiency of new homes through planning and building regulatory instruments. Most recently the Building Code of Australia has been used to introduce minimum energy efficiency standards for new homes at 4 stars in 2003, 5 stars in 2006 and 6 stars in 2010. But while improving the performance of long-lived assets such as new homes is a commonly used policy of

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Dijokas, Paulius, and Dijana Zaric. "Performance of Actively Managed Equity Mutual Funds : Empirical Evidence of the Swedish Market." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-26782.

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During the last decade, investments into the Swedish mutual fund market have increased substantially. The increased popularity of actively managed Swedish equity funds among households and investment companies, correspondingly, funds need to deliver substantial results, raised the importance to evaluate these funds’ performance. This thesis adds to the scarce empirical literature on Swedish equity mutual fund performance. Employing the Fama-French three factor model, it analyzes whether actively managed Swedish equity mu- tual funds outperform the Fama-French benchmarks net- and gross of manag

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Books on the topic "Efficient Net"

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1948-, Yan Norman David, ed. Measuring zooplankton net filtration efficiency in Dorset lakes. Environment Ontario, 1992.

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1948-, Yan Norman David, and Ontario. Ministry of the Environment., eds. Measuring zooplankton net filtration efficiency in Dorset lakes. Queen's Printer for Ontario, 1992.

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Energy Efficiency and Renewable Energy Clearinghouse (U.S.), ed. Energy-efficient lighting. Energy Efficiency and Renewable Energy Clearinghouse, U.S. Dept. of Energy, 1995.

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Branch, Ontario Water Resources. Measuring zooplankton net filtration efficiency in Dorset lakes: Report. Ministry of the Environment, 1992.

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Fava, Gianni. Guida all'eccellenza: Efficienza ed efficacia nel sistema azienda. F. Angeli, 1988.

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Piana, Giannino. Efficienza e solidarietà: L'etica economica nel contesto della globalizzazione. Effatà, 2009.

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Piana, Giannino. Efficienza e solidarietà: L'etica economica nel contesto della globalizzazione. Effatà, 2009.

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Piana, Giannino. Efficienza e solidarietà: L'etica economica nel contesto della globalizzazione. Effatà, 2009.

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International, Five Winds. Eco-efficiency and materials. International Council on Metals and the Environment, 2001.

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Bolognino, Daniela. Gli obiettivi di efficienza, di efficacia e di economicità nel pubblico impiego. Giuffrè, 2004.

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Book chapters on the topic "Efficient Net"

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Khashehchi, Morteza, Sivasakthivel Thangavel, Pooyan Rahmanivahid, Milad Heidari, and Ashwani Kumar. "Net zero energy buildings." In Sustainable Technologies for Energy Efficient Buildings. CRC Press, 2024. http://dx.doi.org/10.1201/9781003496656-7.

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Heinz, Alois P. "Efficient Neural Net α-β-Evaluators." In ICANN ’94. Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2097-1_149.

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Yang, Yuxuan. "Efficient-net Speaker Recognition Master—The New Speaker Recognition System Built Base on Efficient-net." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4258-6_109.

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Novak, David, Jan Cech, and Pavel Zezula. "Efficient Image Search with Neural Net Features." In Similarity Search and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25087-8_22.

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Zhao, Yidong, Changchun Yang, Artur Schweidtmann, and Qian Tao. "Efficient Bayesian Uncertainty Estimation for nnU-Net." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16452-1_51.

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Saxena, Aditya, Akshat Ajit, Chayanika Arora, and Gaurav Raj. "Efficient Net V2 Algorithm-Based NSFW Content Detection." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5994-5_31.

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Giraddi, Vishal, Shantala Giraddi, Suvarna Kanakaraddi, and Mahesh Patil. "Assessment of Lung Cancer Histology Using Efficient Net." In Mobile Computing and Sustainable Informatics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0835-6_28.

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Postema, Björn F., and Boudewijn R. Haverkort. "Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management." In Energy Efficient Data Centers. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15786-3_4.

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de Frutos Escrig, David, Maciej Koutny, and Łukasz Mikulski. "An Efficient Characterization of Petri Net Solvable Binary Words." In Application and Theory of Petri Nets and Concurrency. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91268-4_11.

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Meng, Yue, Chung-Ching Lin, Rameswar Panda, et al. "AR-Net: Adaptive Frame Resolution for Efficient Action Recognition." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58571-6_6.

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Conference papers on the topic "Efficient Net"

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Zhang, Qimin, Weiwei Qi, Huili Zheng, and Xinyu Shen. "CU-Net: A U-Net Architecture for Efficient Brain-Tumor Segmentation on BraTS 2019 Dataset." In 2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). IEEE, 2024. http://dx.doi.org/10.1109/mlise62164.2024.10674119.

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P, Varalakshmi, Tilak Soorya R, Anugeeta S, and Akshaya S. "Efficient Kidney Tumor Classification and Segmentation with U-Net." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782559.

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Zhao, Tingting, Chenguang Liu, Kamal Jnawali, and Chang Su. "eLIR-Net: an Efficient AI Solution for Image Retouching." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00302.

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Chinthaka, Dulith, and Subha Fernando. "Multi-Scale Efficient Attention Net for Person Re-Identification." In 2024 International Conference on Advances in Technology and Computing (ICATC). IEEE, 2024. https://doi.org/10.1109/icatc64549.2024.11025307.

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Li, Jingzhi, Rong Fan, and Junxue Chen. "EUCB-Net: efficient underwater image enhancement with convolutional boosting." In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025), edited by Shaohua Luo and Akash Saxena. SPIE, 2025. https://doi.org/10.1117/12.3068989.

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Upadhyay, Deepak, Kunj Bihari Sharma, Mridul Gupta, Abhay Upadhyay, and Satya Prakash Yadav. "Deep Neural Networks in Neuroimaging: A U-Net Model for Precise Brain Tumor Detection." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993781.

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Deb, Debasish, and R. Murugan. "Robust Exudate Segmentation in Retinal Fundus Images using the combination of Efficient-Net and U-Net Model." In 2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2025. https://doi.org/10.1109/csnt64827.2025.10968665.

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Jackulin, T., U. Regasri, P. Angel Maanu, Kavitha Subramani, S. Sharmila, and M. Dharshana Sri. "Efficient Net Approach for Skin Cancer Detection for Early Intervention." In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). IEEE, 2024. http://dx.doi.org/10.1109/icstsn61422.2024.10671254.

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Singh, Rohan, Dilip Kumar Sharma, and Praphula Kumar Jain. "Efficient net-based deep learning: A deep-fake image detection." In 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS). IEEE, 2024. https://doi.org/10.1109/ccis63231.2024.10931956.

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Salameh, Mohammad, and Iyad Jafar. "A Lightweight Efficient U-Net Model for Audio Super-Resolution." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811452.

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Reports on the topic "Efficient Net"

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Meier, Alan, Richard Brown, Daniel Gerber, et al. Efficient and Zero Net Energy-Ready Plug Loads. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1773710.

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Carbary, Lawrence D., Laura L. Perkins, Roland Serino, Bill Preston, and Jan Kosny. Contributing to Net Zero Building: High Energy Efficient EIFS Wall Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1116737.

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Martin, C. D., Cary D. Butler, James T. Stinson, and David C. Stuart. The USACE DataNet: Providing Efficient Data Access Through a Net-Centric Framework. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada438169.

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Aquil Ahmad. Prototyping Energy Efficient Thermo-Magnetic & Induction Hardening for Heat Treat & Net Shape Forming Applications. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1047536.

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Ludtka, Gail, D. Nicholson, and A. Ahmad. Prototyping Energy Efficient Thermo-Magnetic and Induction Hardening for Heat Treat and Net Shape Forming Applications. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1036019.

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Emmerling, Johannes, Lara Aleluia Reis, Laurent Drouet, David A. Raitzer, and Manisha Pradhananga. Assessing the Implications of a Global Net-Zero Transition for Developing Asia: Insights from Integrated Assessment Modeling. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230587-2.

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Global climate goals will not be attainable unless Asia’s growth becomes much less carbon-intensive. This paper uses a global integrated assessment model to assess how developing Asia would develop in a world that meets Paris Agreement temperature goals. It finds that a profound transition is needed, with a rapidly decarbonized power sector and a dramatic drop in land-use emissions. Benefits are found to be far in excess of costs for Asia if an efficient set of decarbonization policies is deployed.

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Degan, Arianna, Yushen Li, and Huan Xie. Favor Exchange with Private Costs: An Experiment. CIRANO, 2024. http://dx.doi.org/10.54932/umqe9557.

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We conduct an experiment on a two-player infinitely repeated favor exchange game. In the stage game, each player must decide whether to provide a favor to the other player. A favor generates a fixed benefit for the recipient and a cost for the provider, which can be either low or high. We study the situation where this cost is private information, and it is efficient to provide a favor only when the cost is low. We address two general questions: To which extent subjects exchange favors in ways that are payoff enhancing, given that private information hinders exchanging favors efficiently? Whic

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Slattery, Kevin, and Eliana Fu. Unsettled Issues in Additive Manufacturing and Improved Sustainability in the Mobility Industry. SAE International, 2021. http://dx.doi.org/10.4271/epr2021015.

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Additive manufacturing (AM), also known as “3D printing,” is often touted as a sustainable technology, especially for metal components, since it produces either net or near-net shapes versus traditionally machined pieces from larger mill products. While traditional machining from mill products is often the case in aerospace, most of the metal parts used in the world are made from flat-rolled metal and are quite efficient in utilization. Additionally, some aspects of the AM value chain are often not accounted for when determining sustainability. Unsettled Issues in Additive Manufacturing and Im

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Delera, Micehele, Nanditha Mathew, and Tania Treibich. Good for business, not so much for the environment? Entry into importing and the energy intensity of Indian plants. UNU-MERIT, 2025. https://doi.org/10.53330/wcog1682.

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The global fragmentation of production has important implications for the environment. As emerging economies increase their participation in trade, scale effects increase environmental impacts worldwide. Yet at the same time, access to international markets might help offset these impacts by increasing the efficiency of production. Existing literature suggests that trading firms tend to be more energy efficient than non-traders. However, this literature does not take into account the effect of firms’ product baskets. In this paper, we leverage a rich plantand product-level database from India

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Downard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40439.

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The orientation of constructed levee embankments relative to alluvial swales is a useful measure for identifying regions susceptible to backward erosion piping (BEP). This research was conducted to create an automated, efficient process to classify patterns and orientations of swales within the Lower Mississippi Valley (LMV) to support levee risk assessments. Two machine learning algorithms are used to train the classification models: a convolutional neural network and a U-net. The resulting workflow can identify linear topographic features but is unable to reliably differentiate swales from o

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