Designing Intelligent Personalized Chatbot for Hotel Services

Development of chatbot in customer services and sales are remarkable. However, there is only little research in developing chatbot-hotel in Indonesia. Chatbot has many advantages for both hotel and mobile users to improve convenience, reduce service, sales and support costs, one-to-one marketing and new data collections. Using chatbot, customers using smartphone can reach a hotel anytime and anywhere with personalized services related to their needs. The customers can find out availability of rooms, price, booking and have a personal front office that provide the real-time and context-relevant information about hotel services. Therefore, we develop an interactive intelligent personalized chatbot-hotel by using AIML and Google Flutter. Flutter is used as it is easy to develop the chatbot-hotel in the cross-platform mobile application. The outcome of this work is a prototype chatbot-hotel on mobile platform especially for Indonesian users. This chatbot includes all services in the hotels and able to give the personalized services to the customers before arrive in the hotel. It can accommodate the customer needs and to up-selling the hotel facilities

Powder Bed Fusion via Machine Learning-Enabled Approaches

Powder bed fusion (PBF) applies to various metallic materials used in the metal printing process of building a wide range of complex parts compared to other AM technologies. PBF process has several variants such as DMLS (direct metal laser sintering), EBM (electron beam melting), SHS (selective heat sintering), SLM (selective laser melting), and SLS (selective laser sintering). For PBF to reach its maximum potential, machine learning (ML) algorithms are used with suitable materials to achieve goals cost-effectively. Various applications of neural networks, including ANNs, CNNs, RNNs, and other popular techniques such as KNN, SVM, and GP were reviewed, and future challenges were discussed. Some special-purpose algorithms were listed as follows: GAN, SeDANN, SCNN, K-means, PCA, etc. This review presents the evolution, current status, challenges, and prospects of these technologies in terms of material, features, process parameters, applications, advantages, disadvantages, etc., to explain their significance and provide an in-depth understanding of the same