ABSTRACT
For the provision of online public administrative services in Vietnam, information technology is identified as both a requirement and the most important solution to implement the goals and contents of the administrative reform and modernization process in management. The article presents the current status of information technology application in handling administrative procedures of ward-level People's Committees in Viet Tri city, and at the same time points out the causes of the current situation to continue to have innovations in information technology to improve the quality and efficiency of this service.

ABSTRACT
As college school leavers transition into higher education or the workforce, they face numerous challenges in adapting to new learning environments and expectations. Effective learning strategies are crucial to ensuring their success in these new settings. This paper explores how WEKA, a powerful data mining tool, can be leveraged to shape and enhance student learning strategies for college school leavers. By analysing educational data, WEKA can provide insights into the most effective learning methods, helping educators tailor their approaches to meet the specific needs of these students. The paper discusses the application of WEKA in educational data mining, highlights its capabilities, and presents case studies demonstrating its effectiveness in shaping learning strategies.

ABSTRACT
This paper presents a novel virtual vehicle interactive interface device designed to enhance the driving experience by providing personalized, real-time, and contextually relevant information to vehicle users. Unlike traditional information retrieval systems that rely on static algorithms, our device uses a dynamic, agent-based approach to adapt to user preferences and real-time data. The system integrates advanced voice interfaces, extensible storage, and multiple sensors to offer a more interactive and responsive experience. Experimental results demonstrate the device's capability to handle complex queries, adapt to evolving user needs, and improve overall user satisfaction through personalized responses and learning mechanisms.

ABSTRACT
An iris recognition system based on Convolutional Neural Network with Particle Swarm Optimization (CNN-PSO) was developed to improve the identified hitches in the existing systems. Iris images of 150 and 108 persons were acquired from LAUIRIS (Nigeria) and CASIA (China) respectively. The images were resized and cropped after which Hough transform was used for effective localization of the iris region and normalised using Daugman’s rubber sheet model, while an efficient Cumulative Sum-based analysis method was used to extract discriminative features from the normalised iris images after which the iris code was generated. The iris code generated in a vector form was optimised with PSO after which they are fed into Convolutional neural network; the same procedure was engaged during enrolment and authentication to generate the iris template. Euclidean distance was used for decision making on test sample template and stored template. The system was implemented with MATLAB R2013a. The performance of the developed system was evaluated on LAURIS and CASIA, and compared with the existing systems (CNN, BPNN-PSO and BPNN) using False Acceptance Rate (FAR), False Rejection Rate (FRR) and Recognition Rate (RR). CNN-PSO has the highest recognition rate of 98.67% and 97.22% for LAUIRIS and CASIA respectively among the systems which showed an improvement over other three recognition technique. The developed CNN-PSO has not only produced an improved Iris recognition system over the others, with the highest recognition rate for both datasets but it also provides a significant recognition rate of black Iris images despite the limitations identified with black Iris images in separating Iris image from other part of the eyes. The developed

ABSTRACT
This study aims to seek to identify the role of administrative engineering processes and their dimensions (Technology, strategy, employees) in improving project management, and proposing new mechanisms aimed at overcoming the difficulties facing the researched company. The research included quantitative analysis of data relevant to the researched company. The study sought to test a number of hypotheses related to the influence relationships between the variables of the study represented by engineering operations. Administrative and project management. The data was processed through statistical methods using the program (SEM-PLS). The most important of these conclusions is that administrative engineering processes contribute to good communication to exchange information related to the service between employees and customers in an easy and simple way by providing the required forms and filling them out, which are easy to understand by customers and providing brochures. Definition, the most important recommendations: The necessity for the researched company to organize its resources and coordinate its activities in order to ensure the implementation of its operations in a way that achieves the strategic objectives previously determined for the project.

ABSTRACT
The industry 4.0 technology has been in existence and development for a while now and it has been fully implemented by the “big player” manufacturing companies in the world. This paper provides an assessment of the key technologies and the low state of implementation of this technological transformation by industries in Africa and especially the SMEs. Therefore, the article gives a guide and conceptual roadmap with necessary resources, practices and strategies for the middle African companies to implement industry 4.0 in their organization and reap the benefits of this industrial and technological revolution.

ABSTRACT
Anti-patterns are flaws that adversely impact the quality of the system. The term "Code Smell" refers to a sign that there are anti-patterns in software, which prompts system restructuring. As a result, managing the maintenance becomes challenging. Refactoring is required more when the number of smells increases. Different methods for detecting anti-patterns in the system have been found. The research sought to examine how anti-patterns affect classes and which specific anti-patterns have a greater influence than others. A conclusion has been reached regarding the findings for upcoming research on open-source systems. The introduction is followed by the various anti-patterns in the first of the paper's four sections. Additionally, the associated work has been thoroughly analysed, followed by a succinct conclusion. Thus, the study presents many methods for identifying software system code smells. Therefore, odour detection will be useful in increasing reliability during testing and maintenance phases by foreseeing anti-patterns and errors before to product delivery. Additionally, the community of software engineers and managers will benefit from the identification of anti-patterns by using it to enhance software development maintenance efforts.