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Titlebook: Innovations in Sustainable Mining; Balancing Environmen Kirtikumar Randive,Shubhangi Pingle,Anupam Agnihot Book 2021 The Editor(s) (if appl

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Sanjeevani Jawadand,Kirtikumar Randivelar, we investigate the performance of fine-tuning several state-of-the-art pre-trained language models on our small training dataset. The results show that with pre-trained language models and carefully tuned hyperparameters, we have reached or slightly outperformed the state-of-the-art system [.]
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Suchita Rai,Sneha Bahadure,M. J. Chaddha,Anupam Agnihotri. We evaluate the performance of . in terms of quality of data generated, by training it on both a simulated dataset and a real network traffic data set. Finally, to answer the question—can real network traffic data be substituted with synthetic data to train models of comparable accuracy?—we train
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Upendra Singhundational due to the exceedingly basic nature of the design choices, allowing to infer what could be a minimal performance that can be obtained with image-based learning in malware detection..The performance of . evaluated on over 158k apps demonstrates that, while simple, our approach is effective
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Basudeb Datta,Ashok Nandientiate from real domains. The resulting set of domains have characteristics, such as character distribution, that more closely resemble real domains than sets produced in previous research. We then use these GAN-produced domains as additional examples of DGA domains and use them to augment the trai
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Anand Barapatre,Nishant Burnase,Reena Das,Shraddha Jaiswale gripper, each jaw can open up to a distance of 26 mm from its adjacent jaws and generate 0.05 N of grip force. As proof of concept, we built a servo motor system in which one stepper motor moves the external magnet in a circular motion, and another stepper motor moves the first motor in a linear m
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