Enhanced computer network security assessment through employing an integrated LogTODIM-TOPSIS technique under interval neutrosophic sets
In the context of the development of the new era, computer network technology has become an indispensable and important technological means in people’s daily work and life. Through network technology, information resources can be collected, integrated, ...
A textual question answering and handwritten answer evaluation system for hindi language
Textual Question Answering targets answering questions defined in natural language. Question Answering Systems offer an automated approach to procuring answers to queries expressed in natural language. The need for Multilingual Question Answering without ...
QNN-MAGDM strategy for E-commerce site selection using quadripartition neutrosophic neutrality aggregative operators
In this paper, we define the Quadripartition Neutrosophic Weighted Neutrality Aggregative (QNWNA) operator and Quadripartition Neutrosophic Ordered Weighted Neutrality Aggregative (QNOWNA) operator for solving Multi-Attribute Group Decision Making (MAGDM)...
ArMT-TNN: Enhancing natural language understanding performance through hard parameter multitask learning in Arabic
Multitask learning (MTL) is a machine learning paradigm where a single model is trained to perform several tasks simultaneously. Despite the considerable amount of research on MTL, the majority of it has been centered around English language, while other ...
Research on neural networks in computer network security evaluation and prediction methods
Anomaly detection in networks to identify intrusions is a common and successful security measure used in many different types of network infrastructure. Network data traffic has increased due to the proliferation of viruses and other forms of cyber-...
Enhancing platoon performance: A novel approach to speed and direction control using V2X communication
Autonomous vehicle platoons have become an increasingly popular solution to enhance driving system performance and facilitate the safe integration of these vehicles on the roads. To ensure efficient platoon traffic, it is essential to effectively manage ...
Multi-attribute decision-making methods based on Aczel-Alsina power aggregation operators for English blended teaching quality evaluation under single-valued neutrosophic sets
As a new form of teaching, blended teaching can integrate the advantages of classroom teaching and online teaching and improve the overall quality and effectiveness of English teaching under the premise of changing the orientation of teachers and ...
Enhancing decision-making framework for talent cultivation quality evaluation using dual Hamy mean and prioritized aggregation operators
At present, the solidification of disciplines and majors in higher education, unclear training objectives, and the need to strengthen teacher information literacy are practical problems that constrain the optimization of the “artificial intelligence+” ...
An interactive data-driven multiple-attribute decision-making technique via interval-valued intuitionistic fuzzy sets for teaching quality evaluation in higher education
Improving the quality of higher education teaching is a systematic project. The improvement and formulation of relevant laws, regulations, and measures at the macro level are the minimum and specific requirements for the overall private universities, and ...