This project presents the design and implementation of "Setram Go", a hybrid mobile application forpurchasing public transport tickets and managing subscriptions in Ouargla, Algeria. During theconception phase, several UML diagrams were used — including use case diagrams, class diagrams,and activity diagrams — to model the system architecture, user interactions, and core functionalities.The application aims to solve problems related to manual ticketing, the absence of electronicpayments, and limited accessibility. Developed using React Native (frontend), Express.js (backend),and MongoDB, the app supports electronic wallet recharge, QR code validation, bilingual interface(Arabic/English), and real-time station mapping. Functional testing confirmed the application's corecapabilities, with future work planned to integrate real payment gateways, offline functionality, and improved security.

Traditional urban solid waste management in Latin American cities operates using fixed routes, without considering the dynamic state of waste containers. This rigid approach leads to operational inefficiencies, excessive fuel consumption, and a significant environmental impact. A distributed architecture was designed that integrates HC-SR04 sensors (fill level) and MQ-135 sensors (air quality), connected to Heltec WiFi LoRa 32 V3 nodes. The captured data is transmitted via LoRa technology to a central gateway and stored in real-time on Firebase. These data were used to train a Deep Q-Network (DQN) model, developed in PyTorch using OpenAI Gym, with an input of 30 parameters (15 containers × 2 variables) and 15 possible actions. Training was performed over 1000 epochs with a learning rate of 0.0005 and a discount factor γ = 0.99. The model achieved a stable decision policy to dynamically prioritize critical collection points. Compared to static routes, there was a 16.4% reduction in distance traveled, 16.3% in operational time, and 16.4% in fuel consumption. Route planning was complemented by the Dijkstra algorithm and visualized in a geospatial interface using the Google Maps API. The system was implemented as a Flask API integrated with a hybrid mobile application, allowing real-time visualization of optimized routes and container status. This intelligent and scalable solution reduces resource usage, improves urban sustainability, and is well-suited for deployment in smart cities.

In the global effort to reduce carbon emissions, hydrogen stands out as a green and sustainable energy carrier due to its high gravimetric energy density and versatility. Despite the advantages, the small molecular size and high diffusivity allow easy escape of hydrogen from storage tanks posing a challenge in storing and transporting energy with hydrogen. Liquid organic hydrogen carriers (LOHCs) emerge as a stable alternative for hydrogen storage and transport by chemically binding hydrogen through catalytic hydrogenation and releasing it via dehydrogenation. Conventional thermochemical LOHC cycling relies on high-temperature processes, often powered by fossil fuels, which increase carbon emissions. Electrochemical methods have emerged as a promising alternative, especially when powered by renewable electricity, potentially reducing carbon footprints while supporting grid load leveling. Nevertheless, the carbon footprint assessment for electrochemical LOHC cycling should not end on electrochemical reactions only but further be extended to the overall process. This study compares the carbon footprints of thermochemical, electrochemical, and hybrid LOHC cycling using acetone/isopropanol as a model LOHC couple to identify areas of improvement needed for sustainable electrochemical LOHC cycling systems. The comparative carbon footprint for thermochemical cycling was 5.2 and 74.3kg CO2/kg H2 when renewable and non-renewable electricity were used, respectively. The upstream hydrogen production and the heating of the endothermic thermochemical dehydrogenation reaction were the main factors contributing to the carbon footprint during thermochemical LOHC cycling. Electrochemical cycling emitted 0.80 and 28.3kg CO2/kg H2 for renewable and non-renewable electricity, respectively, without downstream product separation. However, LOHC product purification may be necessary in cases such hybrid cycling, mobile and transport applications. Energy-intensive distillation processes, often powered by fossil fuels, significantly increased the carbon footprint of electrochemical cycling to 29.5 kg CO2/kg H2 with renewable electricity and 57.0kg CO2/kg H2 with non-renewable electricity when purifying 2M LOHC solution in water. The use of KOH in the electrolyte further increased the carbon footprint of electrochemical cycling due to emissions associated with its upstream production process. In stationary storage applications, where separation is not a primary limiting factor, electrochemical cycling offers lower carbon footprint. Sensitivity analyses highlighted the importance of LOHC concentration and system design in reducing emissions. Hybrid cycling achieved the lowest carbon footprint (2.2 kg CO₂/kg H₂) by combining thermochemical hydrogenation with electrochemical dehydrogenation of pure LOHC and utilizing renewable electricity. Thermochemical dehydrogenation requires significant energy to achieve high operating temperatures and can be replaced by electrochemical dehydrogenation only when LOHC concentrations exceed 4M in water or 9M in a 1M KOH electrolyte when product separation is necessary. This work details how more factors than simply utilizing renewable electricity in electrochemical reactions for LOHC cycling are to be considered to lower the carbon footprint. To achieve sustainability, electrochemical LOHC cycling must minimize downstream separation and use renewable electricity.

Hybrid mobile application frameworks have gained significant adoption due to their ability to reduce development cost while supporting deployment across multiple platforms such as Android and iOS. At the same time, the rapid evolution of Generative Artificial Intelligence has transformed user expectations by enabling intelligent features such as conversational interfaces, personalized recommendations, content generation, and context aware decision support. Integrating Generative AI capabilities into hybrid mobile applications introduces new architectural challenges related to latency, scalability, privacy, cost, and resource constraints on mobile devices. Existing hybrid mobile architectures primarily focus on user interface abstraction and code reuse, offering limited guidance on how to efficiently integrate cloud-based AI services while maintaining responsive user experience and operational efficiency. This paper proposes an intelligent hybrid mobile application architecture designed specifically to support cloud based Generative AI services. The proposed architecture introduces a clear separation between presentation logic, AI orchestration, and backend intelligence, enabling hybrid applications to dynamically offload compute intensive AI tasks to cloud services while retaining lightweight inference and caching mechanisms on the device.

This article examines the development of a sophisticated hybrid mobile application that seamlessly integrates artificial intelligence, machine learning, and cross-platform development technologies to revolutionize home network management and entertainment control. The solution bridges the gap between WiFi performance analysis, network optimization, and smart entertainment systems through an innovative architecture leveraging Flutter, React Native, and Kotlin Multiplatform. By strategically incorporating native code for performance-critical operations while maintaining cross-platform compatibility, the application delivers a highly responsive and customizable user experience. The template-driven interface adapts to individual preferences while AI-powered analytics enhance network diagnostics and anticipate user needs. The system ensures consistent performance and synchronization across the user's device ecosystem through edge computing and cloud integration, establishing a new paradigm for smart home management applications that combines technical sophistication with intuitive usability.

Se llevó a cabo una investigación con el objetivo de implementar un sistema de evaluación dinámica para el aplicativo móvil de identificación morfológica vegetal; para lo cual se desarrolló un algoritmo de generación de preguntas aleatorias mediante el framework IONIC con la versión 7, esta tecnología permite integrar múltiples lenguajes de programación dando como resultado aplicaciones móviles hibridas que pueden ser instaladas en sistemas operativos nativos como Android. Las variables evaluadas fueron: la generación de preguntas únicas en la evaluación, capacidad de retención de información, facilidad de uso y grado de satisfacción de los usuarios. Los resultados demostraron al 100 % que el uso de cuestionarios con preguntas aleatorias proporciona una dinámica de aprendizaje variada y evita la repetitividad, lo que contribuye a una mejor retención y comprensión de la información. El 90 % de usuarios manifestaron que el aplicativo es intuitivo, fácil de usar, cumple con las necesidades y tiene un alto nivel de aceptación.

The article considers modern innovative approaches to the organization of busi-ness events in the structure of MICE-tourism. The main components of MICE (Meetings, Incen-tives, Conferences, and Exhibitions) and their role in the development of business tourism are studied. Special attention is paid to the integration of technological solutions, including virtual and hybrid platforms, artificial intelligence and mobile applications. Sustainable event manage-ment practices, methods of developing unique thematic concepts and venue selection strategies are analyzed. Ways to increase participant engagement, personalize the user experience, and leverage sponsorships are explored. Modern marketing strategies and methods for evaluating the effectiveness of events are presented. The article demonstrates a comprehensive approach to organizing business events, taking into account current trends and requirements of the MICE-tourism industry.

Concerning tobacco (Nicotiana tabacum L.) producers the size and color of the leaf are important factors in understanding the quality grade of tobacco leaves in the market. The color of tobacco leaves serves as an indicator of quality and is referred to as the maturity index when determining the optimal time for harvesting. In this study, a hybrid mobile application was developed to help determine the harvest time. CoLab was preferred as the backend. Python Imaging Library (Pillow) was used for image processing on the server side. Color correction was performed on the images taken with the help of X-rite. The correlated color temperature (CCT) value of the repaired images was calculated. The CCT values were calculated using the Ohno method. Quality grade (QG) was calculated using the mean CCT value. The data of the images obtained depending on the time were used in the application as a graphic. We present quality grade of tobacco automatically identifying the plant leaves in a given image with the help of the mobile application.

The works of street artists' paintings tend to have minimal interest in Indonesia. This is caused by many factors, one of which is the limited scope of painting marketing. Therefore, the author seeks to provide a means of marketing in the form of an online painting auction application. The purpose of this research is to create an application as a means of connecting painting artists with painting enthusiasts. The research method used is descriptive analysis method with a quantitative approach. While in the development process, this application adopts the Hybrid Mobile Application method which has many advantages over the Native Android and IOS methods. The advantages of this hybrid method are in terms of coding effectiveness and efficiency of time and resources used. By applying this method, the application can be accessed from various circulating smartphone operating systems such as Android and IOS so that it can make it easier for the application to be accessed by potential users. The main concept of this application is to implement an auction system in the sale of paintings. This application also has several core features such as painting auctions, homepage, explore, bidding, payments and other supporting features that are expected to facilitate the painting auction transaction process. In the end, this application is intended for painting artists and painting lovers so that it can be easier to make transactions for buying and selling paintings online.

3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM

The development of technology is growing rapidly nowadays, one of them is an mobile system that widely used to facilitate all affairs from all fields that can change people's behavior towards the digital era, so that society is greatly facilitated in all aspects, e-tickets are one of the system developments. information that is currently widely used on various platforms such as smartphones and computers, android is an OS that has many advantages and lots of features to make it easier for us to do various jobs, one of which is selling tickets using android for ticket sales so that ticket sales work more efficiently. today's smartphone is not only a means of communication, but smart phones have many uses, including for business, games, payments, etc. With the development of science and technology, people's lifestyles have been like culture, economy, society, and education, So this research we use android to be able to run the e-ticket application using a Bluetooth printer to make it more efficient place and time for data management which later this application is made with a hybrid mobile application with fremwork7 to connect to our database using API and MySQL.

It is known that mobile applications running on the Android operating system enjoy real appreciation among users around the world. These applications include those dedicated to soil monitoring and protection. Concerning the latter, we propose to discuss, step by step, mainly the phases and stages related to the configuration, design, development, implementation, testing, and validation of a mobile application with valences in the monitoring and protection of soil resources. Moreover, we analyzed from the very beginning and what are the main differences between the three possible work scenarios - native, hybrid, or web mobile application, to see what the requirements and features that we have to take into account in the development of the proposed application. In this sense, the work methodology is specific to the development of software applications, about which the results show us that the optimal option for the considered mobile application is a mix between native and hybrid development. Consequently, as a result of the analysis carried out on the entire development and life cycle of the application, it is found that our proposal for an application dedicated to soil monitoring and protection is more than welcome, the elements related to the configuration, design, development, its implementation, testing and validation being not only the prerogative of developers but also of users and customers.


 
 
 Mobile applications dedicated to iOS can be developed natively or hybrid. The subject of this paper is to compare these technologies on the example of a created mobile application. The performance of both technologies, the structure of projects, as well as resource consumption on the example of four smartphones operating under iOS, has been examined. Considering the performance analysis, the compilation time of the application, reading and writing data from the cloud database, as well as the time of sorting the read data was examined. On the test devices, it was checked how intense is the use of the system. The obtained results confirm that producing a mobile application in native technology is more perfor- mance efficient.
 
 

BACKGROUND: Navigation portable applications have largely grown during the last years. However, the majority of them works just for outdoor positioning and routing, due to their architecture based upon Global Positioning System signals. Real-Time Positioning System intended to provide position estimation inside buildings is known as Indoor Positioning System (IPS).OBJECTIVE: This paper presents an IPS implemented as a mobile application that can guide patients and visitors throughout a healthcare premise.METHODS: The proposed system exploits the geolocation capabilities offered by existing navigation frameworks for determining and displaying the user’s position. A hybrid mobile application architecture has been adopted because it allows to deploy the code to multiple platforms, simplifying maintenance and upgrading.RESULTS: The developed application features two different working modes for on-site and off-site navigation, which offer both the possibility of actual navigation within the hospital, or planning a route from a list of available starting points to the desired target, without being within the navigable area. Tests have been conducted to evaluate the performance and the accuracy of the system.CONCLUSION: The proposed application aims to overcome the limitations of Global Navigation Satellite System by using magnetic fingerprinting in combination with sensor fusion simultaneously. This prevents to rely on a single technology, reducing possible system failures and increasing the scalability.

In the age of smartphones and tablets, the popularity of mobile applications is rising extremely quickly. There are countless purposes for using them, such as communication, social media, news, sending emails, shopping, paying, watching videos and streams, and playing games. Google’s Android is currently the most frequently used mobile system in the world. The main aim of this article is to compare native and hybrid mobile applications created for this system, taking into account the needs and challenges of designing systems using BLE and Wi-Fi. The comparison was based on mobile applications implemented in the Java 8 language and the Ionic framework. The aim was to compare the efficiency of data processing in both technologies, in order to indicate dependencies that can help in the selection of technologies in the projects under development based on BLE, Wi-Fi and sensor networks.

Smartphone apps support people to adopt healthy lifestyles. Therefore, it is useful to understand the persuasive design strategies involved in hybrid mobile applications that facilitate behavior changes. The aim of our research is to show the ease of use of hybrid mobile applications compared to Web and Native applications. Hybrid mobile apps combine the features of Web apps and Native mobile apps. Like web applications, they are implemented in portable, platform-independent languages such as HTML and JavaScript. They directly access local device resources such as native apps. Transition to hybrid applications has been increasing in recent years with the rapid progress of technology. Although it has performance disadvantages compared to native applications, it is more preferred by software developers due to its ease of use. From the results, it has been determined that the user interface for hybrid applications is simpler to develop with its dynamic structure and it uses mobile device features better in terms of performance when used in hybrid applications.

In the event that the school or college has a large number of employees and students. Courses, student requirements, and time management are all issues that managers face on a daily basis. As a result, the proposed system in this study aims to create a student management system that utilizes a hybrid mobile application to manage student registration activities in schools. Flutter framework and Firebase database were used to create the hybrid app. This project can assist teachers, managers, and students in any school or institute in setting, selecting, and identifying a suitable time for their courses, as determined by the schedule. This project also provides significant benefits to managers in terms of managing student registrations and information.

The development of technology is growing rapidly nowadays, one of them is an mobile system that widely used to facilitate all affairs from all fields that can change people's behavior towards the digital era, so that society is greatly facilitated in all aspects, e-tickets are one of the system developments. information that is currently widely used on various platforms such as smartphones and computers, android is an OS that has many advantages and lots of features to make it easier for us to do various jobs, one of which is selling tickets using android for ticket sales so that ticket sales work more efficiently. today's smartphone is not only a means of communication, but smart phones have many uses, including for business, games, payments, etc. With the development of science and technology, people's lifestyles have been like culture, economy, society, and education, So this research we use android to be able to run the e-ticket application using a Bluetooth printer to make it more efficient place and time for data management which later this application is made with a hybrid mobile application with fremwork7 to connect to our database using API and MySQL.

Spider bird swarm algorithm with deep belief network for malicious JavaScript detection

The number of users of smart mobile devices is growing every day. Because of the popularity of using mobile devices, it is important for business stakeholders to develop mobile applications targeting all mobile platforms in order to ensure that the number of users is as large as possible. One possible solution is the creation of hybrid mobile applications. These are applications that combine the properties of web and native mobile applications, and their main advantage is compatibility with multiple mobile operating systems. This paper presents the results of very comprehensive experiments that involved the use of various hybrid mobile development frameworks that were tested under different scenarios. Experiments revealed that the performance of hybrid applications in different scenarios varies considerably, although the results of these applications were comparable to those that were achieved in the experiment with the native application.