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Titlebook: Recent Challenges in Intelligent Information and Database Systems; 13th Asian Conferenc Tzung-Pei Hong,Krystian Wojtkiewicz,Pawel Sitek Con

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樓主: Maudlin
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發(fā)表于 2025-3-23 13:08:25 | 只看該作者
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發(fā)表于 2025-3-23 14:48:59 | 只看該作者
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發(fā)表于 2025-3-23 21:17:39 | 只看該作者
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發(fā)表于 2025-3-23 22:56:09 | 只看該作者
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發(fā)表于 2025-3-24 02:27:05 | 只看該作者
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 t
16#
發(fā)表于 2025-3-24 08:39:30 | 只看該作者
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
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發(fā)表于 2025-3-24 13:31:12 | 只看該作者
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
18#
發(fā)表于 2025-3-24 15:36:27 | 只看該作者
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
19#
發(fā)表于 2025-3-24 21:42:19 | 只看該作者
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
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發(fā)表于 2025-3-25 01:17:15 | 只看該作者
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