Matrimony 发表于 2025-3-23 13:08:25
http://reply.papertrans.cn/83/8231/823090/823090_11.pngUrea508 发表于 2025-3-23 14:48:59
http://reply.papertrans.cn/83/8231/823090/823090_12.pngNEX 发表于 2025-3-23 21:17:39
http://reply.papertrans.cn/83/8231/823090/823090_13.pngmedieval 发表于 2025-3-23 22:56:09
http://reply.papertrans.cn/83/8231/823090/823090_14.png从属 发表于 2025-3-24 02:27:05
CampusMaps: Voice Assisted Navigation Using Alexa Skillsho. Over the years, these voice assistants have become more intelligent and the number of tasks that can be performed by them has increased. Of the many voice assistants that exist, Amazon’s Alexa is one of the most compatible voice assistants, which can be programmed to suit specific use cases by tmiracle 发表于 2025-3-24 08:39:30
Solving Reduction Problems in Cover Lattice Based Decision Tablesitional, covering based and other rough set extensions. Although this task has several proposals, it is still an open problem to decision systems (tables) in covering based rough set. This paper focuses on the reduction problem for the condition lattice, and fitting problem for the decision lattice独行者 发表于 2025-3-24 13:31:12
Forecasting System for Solar-Power Generation mankind. Renewable or green energy is an ideal solution for environmentally friendly (eco-friendly) power generation. Among all renewable energy, solar-power generation is low cost and small footprint, which make solar-power generation available around our lives. The major uncontrollable factor in头脑冷静 发表于 2025-3-24 15:36:27
A Recommender System for Insurance Packages Based on Item-Attribute-Value Predictionnsurance packages’ policies and users’ profiles for considering. This paper introduces a recommender model named INSUREX that attempts to analyze historical data of application forms and contact documents. Then, machine learning techniques based on item-attribute-value prediction are adopted to find职业拳击手 发表于 2025-3-24 21:42:19
Application of Recommendation Systems Based on Deep Learningm of information overload has increasingly affected people’s sense of use. The emergence of recommendation systems can help solve the problem of information overload, but in the big data environment, the traditional recommendation system technology can no longer meet the needs of recommending more p树木中 发表于 2025-3-25 01:17:15
http://reply.papertrans.cn/83/8231/823090/823090_20.png