I am new to deep learning and want to understand CNNs from scratch. Can someone explain: 1. What makes convolution different from fully connected layers? 2. How does backpropagation work through conv
Sharing our latest results on fine-tuning BERT-base for scientific literature classification. We achieved 94.2% accuracy on the SciPaper benchmark, improving over the baseline by 6.8%. Key findings:
We have been working on a deep learning pipeline to detect crop diseases from drone imagery. Using YOLOv8 fine-tuned on our custom dataset of wheat and rice diseases. Our current model achieves 89% m
This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs)
To improve the product quality and production efficiency in industrial production, the industrial production process is explored. First, for the production state in industrial production, the radio f
Today, it is known that there are great difficulties and problems in signature and signature examinations, which have a very important place in both our private life and business and commercial life.
The development of 5G technology has enabled the cloud-internet of things (IoT) to impact all areas of our lives. Sensors in cloud-IoT generate large-scale data, and the demand for massive data proce
Metaheuristic techniques are capable of representing optimization frames with their specific theories as well as objective functions owing to their being adjustable and effective in various applicati
The field of Applied Linguistics, which deals with language and its practical uses, connects with technology in interesting methods, especially in the advancement of text-to-speech (TTS) synthesizers
