IEEE16d
Prediction of False Data Injection Attacks in Smart Grid using AdaBoost, Deep Learning, and KNN
In this work, we are finding a better machine learning algorithm to predict false data injection attacks in smart Grid. We have taken the Smart Grid dataset from Kaggle. In our research, we used ...
TechCrunch18d
DeepSeek claims its ‘reasoning’ model beats OpenAI’s o1 on certain benchmarks
Chinese AI lab DeepSeek has released an open version of DeepSeek-R1, its so-called reasoning model, that it claims performs as well as OpenAI’s o1 on certain AI benchmarks. R1 is available from ...
IEEE19d
Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection using KNN in IBN
Claude2 and small deep learning model BiLSTM with attention for translating intents and detecting contradictions. Using a curated dataset of 10,000 intent pairs, the proposed hybrid framework ...
CBSSports.com24d
Knicks vs. Nets odds, line, prediction, time: 2025 NBA picks, Jan. 21 best bets from proven model
Before locking in any Knicks vs. Nets picks, make sure to check out the NBA predictions and betting advice from the SportsLine Projection Model. The SportsLine Projection Model simulates every NBA ...
GitHub25d
knn-model
Final project for DSCI 100: Developed a KNN classification model in R to predict wine quality using physicochemical properties. Conducted data preprocessing, feature selection, and cross-validation to ...
VentureBeat26d
Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost
OpenAI made the first notable move in the domain with its o1 model, which uses a chain-of-thought reasoning process to tackle a problem. Through RL (reinforcement learning, or reward-driven ...