AMITY
发表于 2025-3-28 15:36:05
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泥土谦卑
发表于 2025-3-28 20:11:13
Preeclampsia Risk Prediction Using Machine Learning Algorithms,ature, and others. These five most important biomarkers should be kept under their respective normal levels as they play a vital role in predicting risks during pregnancy. The machine learning techniques for predicting various risk levels, including Naïve Bayes (NB), logistic regression (LR), Ada bo
发现
发表于 2025-3-29 00:21:58
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Acetaldehyde
发表于 2025-3-29 06:42:08
Analyzing the Impact of Carbon Emission in Training Neural Machine Translation Models: A Case Studyer, an attempt has been made to estimate carbon emission when the different NMT models are trained in low-resource language pairs such as English to Hindi and English to Bengali language pairs on different hardware configurations. Finally, different alternatives have also been suggested to reduce th
Dna262
发表于 2025-3-29 09:17:57
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小虫
发表于 2025-3-29 15:12:54
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嬉耍
发表于 2025-3-29 17:12:49
,A Case Study in Requirements Analysis—Sakhee, Software Portfolio Manager,r project member, but Sakhee manages Portfolios and aids portfolio managers. This paper also presents the detailed requirements for the design of portfolio manager, Sakhee, its ViewSpaces and functionalities, besides its information architecture. Sakhee therefore belongs to a class of implementation
去世
发表于 2025-3-29 20:37:35
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脾气暴躁的人
发表于 2025-3-30 02:04:45
A Systematic Review of Pomegranate Fruit Disease Detection and Classification Using Machine Learnining algorithms, diseases, datasets, accuracy merits, demerits of each technique used. For other researchers working in the field of image processing for the detection and classification of leaf/fruit diseases, this review article will be crucial in understanding the state-of-the-art.
强制令
发表于 2025-3-30 04:45:45
Surveillance with Smart Spherical Robot, outfitted with sensors capable of detecting and measuring environmental variables. The review examines the potential of various driving mechanisms and sensors utilized in spherical robots and introduces and discusses a distinct category of mobile robots. The sensors analyzed have the capacity to au