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This paper proposes a hybrid method for online reviews analysis through multi-criteria decision-making, text mining and predictive learning techniques to find the relative importance of factors affecting travelers’ decision-making in selecting green hotels with spa services. The proposed method is developed for the first time in the context of tourism and hospitality by this research, especially for customer segmentation in green hotels through customers’ online reviews. We use Self-Organizing Map (SOM) for cluster analysis, Latent Dirichlet Analysis (LDA) technique for analyzing textual reviews, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking hotel features, and Neuro-Fuzzy technique to reveal the customer satisfaction levels. The impact of green hotels with spa and non-spa services on travelers’ satisfaction is investigated for four travelling groups: Travelled solo, Travelled with family, Travelled as a couple and Travelled with friends. The proposed method is evaluated on the travelers’ reviews on 152 hotels in Malaysia. The findings of this study provide an important method for travelers’ decision-making for hotel selection through User-Generated Content (UGC) and help hotel managers to improve their service quality and marketing strategies.

<p>Dyslexia is a problem that an individual has since birth; it poses difficulties for the rest of their life, similar to other learning disabilities. Spelling, writing, reading and in certain instances speech can all be undermined by the language processing disorder. Idleness or a lack of intellect are not associated with dyslexia. Furthermore, sight problems do not cause dyslexia. Rather, data is evaluated and understood by the brain in alternative ways, making dyslexia a neurological ailment afflicting both children and grown-ups.</p><p>This paper seeks to devise a puzzle game application based on eye tracking, which will assist with focusing attention, as well as a chatbot that can motivate users. This should prove beneficial to individuals with dyslexia, parents of dyslexics, or experts such as reading professionals, instructors and teachers who are assisting dyslexics. Based on the best current understanding of how to assist dyslexics, we meticulously assessed every application prior to its inclusion. </p>

Learning is not limited to a certain age group or a formal study environment.  However, the first eight years, and particularly the first three years, are most important, as the effects of the care and attention provided to the child during this period will continue throughout his or her life. A child’s early learning processes develop their educational abilities and skills, and fosters their academic achievements.Preschool can be very benefit to development and learning for children, but there are differences between countries in this area. It can reduce the repetition in the classroom and can raise achievement scores for students through the preschool programs of high quality (Jacobson and Linda 2008). There are many applications in the Middle East that teach kids, but there is didn't link between the vowels of the Arabic alphabet characters and verbally voice for each character and training to select correct format of Arabic alphabet like (fatha, dama and kasra). This study aims to develop an educational application for children from the ages of 3 to 5 to help them improve their skills and abilities. The application will also prepare them for school by teaching them the Arabic letters, pronunciation and the short vowels (fatha, dama and kasra). The application also aims to help children communicate and interact more effectively with their external environment by employing several theories about learning skills, such as Piaget’s Theory of Cognitive Development, Edger Dale’s Cone of Learning and Bloom's Taxonomy of Cognitive Goals. The application will focus on the first three levels of Bloom's Taxonomy Pyramid which are ‘Remember’, ‘Understand’ and ‘Apply’. Furthermore, the application will be designed to aid children with their Arabic pronunciation, and aural and oral skills, and train and educate them in preparation for attending school. The expected result is that it will be considerably better than educational books for children’s education. Combining education and play in e-learning applications is an important way to attract children.

Nowadays, waste management faces the challenge of providing effective and efficient solutions for waste collection, disposal, and recycling while respecting health and environmental standards. This challenge also includes the lack of understanding of the diverse factors that influence the various stages of waste management, inefficient route planning, insufficient resources, etc. Faster collection, management, and processing of waste are possible with smart containers and IoT technologies allowing waste real-time data provision. Thus, this research proposes a waste management system based on generic and comprehensive generic context ontology and smart containers. The context ontology is conceived to solve the limits and the insufficiencies of waste management by covering all the waste facets for all the stakeholders, optimizing, analyzing, and reusing the waste data and conditions. For given smart container and waste management context, we need to have a global view of the relevant contextual data according to a unified model such as the waste environment data, the waste activity context, the waste computing context, the user context, the collaboration context, etc. One significant advantage of our system is that it provides a unified model for waste management contextual data that could be reused for other waste management systems covering all the properties of this domain. The proposed solution implements an intelligent and adaptive IoT system for waste management according to different waste contexts, waste objectives, and waste activities. The proposed system has been successfully tested under different scenarios in Jeddah City Municipality.