The Smart Dietary Assistant utilizes Machine Learning to provide personalized dietary advice, focusing on users with conditions like diabetes. This app leverages the Grounding DINO model, which combines a text encoder and image backbone to enhance fo...
As infamous invaders to the North American ecosystem, the Asian giant hornet (Vespa mandarinia) is devastating not only to native bee colonies, but also to local apiculture. One of the most effective way to combat the harmful species is to locate and...
Updated to 14.10.2025 **IMPORTANT** I will try to not talk about the Gen10 plot too much since that in my eyes is always subject to change the easiest and can get messed up the most with machine ...
Rating the accuracy of captions in describing images is time-consuming and subjective for humans. In contrast, it is often easier for people to compare two captions and decide which one better matches a given image. In this work, we propose a machine...
Data augmentation can mitigate limited training data in machine-learning automated scoring engines for constructed response items. This study seeks to determine how well three approaches to large language model prompting produce essays that preserve...
types(discrete or continuous) and in combinations. Repeated incremental pruning to produce error reduction (RIPPER) is a propositional rule learner proposed by William
Machine learning is bringing a paradigm shift to healthcare by changing the process of disease diagnosis and prognosis in clinics and hospitals. This development equips doctors and medical staff with tools to evaluate their hypotheses and hence make...
Water level detection using draft marker readings, through the means of computer vision, machine learning and optical flow methods (⭐ 8)
Frommers.com. Retrieved on 2011-06-22. Marianas Visitors Authority-Trip Essentials Archived 2011-07-14 at the Wayback Machine. Mymarianas.com. Retrieved
We look at nondeterministic finite automata augmented with multiple reversal-bounded counters where, during an accepting computation, the behavior of the counters is specified by some fixed pattern. These patterns can serve as a useful "bridge" to ot...
A curated list of applied machine learning and data science notebooks and libraries across different industries. (⭐ 748)
After the notification of the results of the five lotteries, the slot machine 1 awards the normal dividend as a total of prizes for the respective results of lotteries.
In data-sparse regions, satellite and reanalysis rainfall estimates (SREs) are vital but limited by inherent biases. This study evaluates bias correction (BC) methods, including traditional statistical (LOCI, QM) and machine learning (SVR, GPR), appl...
Zlocin jos bez kazne Archived 15 April 2022 at the Wayback Machine "Ni da prebolimo ni da oprostimo". NOVOSTI. Archived from the original on 6 April 2020
Instruction-following large language models (LLMs), such as ChatGPT, have become widely popular among everyday users. However, these models inadvertently disclose private, sensitive information to their users, underscoring the need for machine unlear...
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Machine learning techniques have outperformed numerous rule-based methods for decision-making in autonomous vehicles. Despite recent efforts, lane changing remains a major challenge, due to the complex driving scenarios and changeable social behavior...
In federated learning, model personalization can be a very effective strategy to deal with heterogeneous training data across clients. We introduce WAFFLE (Weighted Averaging For Federated LEarning), a personalized collaborative machine learning algo...
Mathematica implementations of machine learning algorithms used for prediction and personalization. (⭐ 371)
Context: https://www.theguardian.com/technology/2024/apr/19/oxford-future-of-humanity-institute-closes I work in STEM, so I mostly hear about Bostrom from Machine Learning experts, who often hate his...