In this paper we discuss a parallel implementation of an artificial neural network for pattern association, the Bidirectional Associative Memory (BAM). The parallelism inherent in BAM has been exploited using various ...
详细信息
In this paper we discuss a parallel implementation of an artificial neural network for pattern association, the Bidirectional Associative Memory (BAM). The parallelism inherent in BAM has been exploited using various transputer-based architectures like hypercube, mesh and linear array. The speedup and utilization of the system are obtained for the architectures mentioned above and a comparative study is made. Simulation results show that the hypercube topology gives a better performance in terms of speedup and utilization when compared to other architectures.
Person Re-identification associates the same person images captured by disjoint cameras. The different training strategies and precise hyper-parameter selection are required for the construction of an effective person...
详细信息
One of the most important aspects of data forecasting is selecting the most promising algorithm to model and predict a specific phenomenon. As with other data mining jobs, forecasting (or prediction) selects the optim...
详细信息
Mobile Ad Hoc Network (MANET) is an active multi- hop network formed within the wireless channel with a number of mobile nodes. With major advantages of MANET, it has also complexity in routing because of mobility of ...
详细信息
During the past few years e-newspapers are becoming more ease and convenience in accessing timely information. It is presented in several independent news articles. The articles are very difficult to understand automa...
详细信息
Federated learning is a distributed machine learning framework to collaboratively train a global model without uploading privacy-sensitive data onto a centralized server. Usually, this framework is applied to edge dev...
详细信息
Foot bending is a basic component of walking. Although bending is important for foot-ground interaction and ensures the speed and balance of the whole walking cycle, there is still no practical method for recording an...
详细信息
Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models ...
详细信息
In artificial intelligence, deep learning techniques were applied in a wide field due to their ability to automatically learn complex patterns from raw data, such as image classification, object detection, image gener...
详细信息
In the new software-driven world this is the need of the hour to achieve success by accelerating development, delivery of applications and services rapidly that make customers happy and business competitive. To achiev...
详细信息
暂无评论