Abstract: Community detection is a critical issue in the field of complex networks. Recently, the nonnegative matrix factorization (NMF) method has successfully uncovered the community structure in ...

Abstract: A major drawback of the orthogonal frequency division multiplex (OFDM) principle is the high dynamic range of the transmit signal. The transmit power amplifier (PA) and other elements in the ...

Crop change detection study is the foundation of agricultural sustainability. The inherent high spectral resolution of hyperspectral images, combined with multi-temporal datasets, facilitates the ...

In our solution, we develop a novel traffic-detection algorithm based on original- destination (OD) matrix. We illustrate our approach and measure its performance in real environment. The performance ...

Implemented the YOLO ( You Only Look Once ) algorithm ... detection API used) for the specific task of Scene Text Detection in python using keras and tensorflow. The Preprocess.py file handles all the ...

We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%.

Firstly, the users are classified by the k-means clustering algorithm ... to measure the effect of abnormal sample detection. Commonly used evaluation metrics include precision, recall, confusion ...

SHENZHEN, China, May 1, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken ...