Abstract:
In recent years, a wide variety of fuzzy time series (FTS) forecasting models have been created and recommended to handle the complicated and ambiguous challenges relating to time series data from real-world sources. However, the accuracy of a model is problem-specific and varies across data sets. But a model's precision varies between different data sets... More
Abstract:
This study compares websites that take live data into account using search engine optimization (SEO). A series of steps called search engine optimization can help a website rank highly in search engine results. Static websites and dynamic websites are two different types of websites. Static websites must have the necessary expertise in programming compatible with... More
Abstract:
This paper attempts to approach the interface of a robot from the perspective of virtual assistants. Virtual assistants can also be characterized as the mind of a robot, since they manage communication and action with the rest of the world they exist in. Therefore, virtual assistants can also be described as the brain of a... More
Abstract:
Session-based recommendation aims to predict user preferences based on anonymous behavior sequences. Recent research on session-based recommendation systems has mainly focused on utilizing attention mechanisms on sequential patterns, which has achieved significant results. However, most existing studies only consider individual items in a session and do not extract information from continuous items, which can easily... More
Abstract:
Underwater Wireless Sensor Networks (UWSNs) are becoming increasingly popular in marine applications due to advances in wireless and microelectronics technology. However, UWSNs present challenges in processing, energy, and memory storage due to the use of acoustic waves for communication, which results in long delays, significant power consumption, limited bandwidth, and packet loss. This paper provides... More