WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
Raspberry Pi Camera-Based Leaf Pest Detection By Using Classical Image Processing With CNN Algorithm
Abstract: This research describes the creation of a sophisticated system that combines convolutional neural networks (CNNs) with traditional image processing methods to identify pests and illnesses on ...
Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
This package implements python bindings for the ORbit Counting Algorithm. The original source code was modified to avoid memory leaks upon repeated function calls and allow for parallel orbit counting ...
Abstract: In order to realize the effective prediction of harmonic emission level in power system, a harmonic emission level estimation method based on CNN-LSTM algorithm is proposed. The harmonic ...
Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
Abstract: This research uses a Hybrid Deep Capsule Autoencoder-based Convolutional Neural Network and an Improved Whale Optimization (IWO) model to classify sugarcane leaf diseases. It starts with ...
SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
Abstract: Accurate weather forecasting is essential for sectors like agriculture, aviation, and disaster management. However, deep learning algorithms face challenges in prediction accuracy due to ...
Abstract: Against the backdrop of accelerating global energy transition, photovoltaic (PV) power generation technology has emerged as a core pathway to alleviate energy supply-demand imbalances and ...
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