O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...
Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...
Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
Abstract: Linear code, a foundational construct extensively employed in communication, data transmission, and error correction, has been the subject of rigorous study ...
Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...
Abstract: A Bounded-Degree Low-Rank Parity-Check (BD-LRPC) code is a rank-metric code that admits a parity-check matrix whose support is generated by a set of powers of an element. This specific ...
Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
Abstract: To enhance the accuracy of short-term power load forecasting, this paper proposes a hybrid prediction model based on the Snow Ablation Optimization (SAO) algorithm, integrating Convolutional ...