Ford’s software Doug Field explains why the company cancelled its FNV4 project, and how to design a software-defined vehicle for gas and hybrid models.

Keywords: deep learning, object detection, YOLO, transfer learning, disease classification. Citation: Khan F, Zafar N, Tahir MN, Aqib M, Waheed H and Haroon Z (2023) A mobile-based system for maize ...

The advent of deep learning has revolutionized computer vision, enabling real-time analysis crucial for traffic management and vehicle identification. This research introduces a system combining ...

Deep learning techniques, especially convolutional neural networks (CNNs) and YOLOv8 algorithms, have emerged as highly accurate and efficient tools for image-based pest and disease detection. Using ...

This repository contains a project for segmenting diseases in plant leaves using deep learning techniques. The dataset used in this project is sourced from Kaggle, consisting of 2940 images of ...

Patil, A., Patil, P. and Kokate, P.S. (2020) Crop Prediction System using Machine Learning Algorithms. International Journal of Advancements in Engineering and Technology (IJAET), 1, ... This ...