Abstract: Anomaly detection plays a crucial role in real-world applications by identifying instances that deviate significantly from the norm. In the context of road anomalies, deep learning models ...

Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

Goal: Build AI model to detect leukemia from blood cell images Dataset: C-NMC Leukemia Dataset (Gupta & Gupta, 2019) Method: Convolutional Neural Networks (CNN) with Transfer Learning Deliverable: ...

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

使用机器学习或深度学习方法进行电力负荷预测处理 变电站的电力负荷预测数据集的应用 33_11 KV 变电站电力负荷预测数据集(8000多数据+电压、电流功率因数、节日、温湿度等) @[toc] 以下文字及代码仅供参考学习使用。 数据集描述： 33_11 KV 变电站电力负荷预测 ...