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Inverse Fractional Function Setting Sine Trigonometric Neutrosophic Set Approach To Interaction Aggregating Operators, Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin Apr 2025

Inverse Fractional Function Setting Sine Trigonometric Neutrosophic Set Approach To Interaction Aggregating Operators, Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin

Neutrosophic Sets and Systems

In this paper we present novel techniques for the interacting aggregating operator of the inverse fractional function sine trigonometric neutrosophic set. Swapping the input and output variables and solving for the original input variable in terms of the original output variable are the steps involved in determining the inverse of a function. The innovative averaging and geometric operations of inverse fractional function sine trigonometric neutrosophic numbers are studied using the universal aggregation function. The inverse fractional function sine trigonometric neutrosophic set is idempotent, boundedness compatible, associative and commutative. Four new aggregating operators are introduced: inverse fractional function sine trigonometric neutrosophic …


Characterization Of Interaction Aggregating Operators Setting Interval-Valued Pythogorean Neutrosophic Set, Raed Hatamleh, Ahmed Salem Heilat, M. Palanikumar, Abdallah Al-Husban Apr 2025

Characterization Of Interaction Aggregating Operators Setting Interval-Valued Pythogorean Neutrosophic Set, Raed Hatamleh, Ahmed Salem Heilat, M. Palanikumar, Abdallah Al-Husban

Neutrosophic Sets and Systems

In this work, we present novel techniques for the interval-valued Pythogorean neutrosophic interaction aggregating operator. A hybrid of the neutrosophic set and the interval-valued Pythogorean fuzzy set. The innovative averaging and geometric operations of interval-valued Pythogorean neutrosophic interaction numbers are studied using aggregation operator. The interval-valued Pythogorean neutrosophic interaction is boundedness compatible, idempotent, associative, and commutative. Four new aggregating operators are introduced: IPNI weighted averaging operator, interval-valued Pythogorean neutrosophic interaction weighted geometric operator, generalized interval-valued Pythogorean neutrosophic interaction weighted averaging and generalized interval-valued Pythogorean neutrosophic interaction weighted geometric.


Adaptive Triangular Linguistic Neutrosophic Cubic Fuzzy Sets For College English Blended Teaching Mode Evaluation Method, Hongxia Cui Apr 2025

Adaptive Triangular Linguistic Neutrosophic Cubic Fuzzy Sets For College English Blended Teaching Mode Evaluation Method, Hongxia Cui

Neutrosophic Sets and Systems

This paper presents a proactive strategy that employs a multiple-criteria decision-making (MCDM) model as an evaluation tool. To assess online and offline blended teaching modes for college English, we propose an evaluation framework called CIMAS-COBRA, which integrates the Criteria Importance Assessment (CIMAS) method for determining criteria weights and the Cost Estimation, Benchmarking, and Risk Assessment (COBRA) method for ranking alternatives. Both methods operate under the Triangular Linguistic Neutrosophic Cubic Fuzzy Sets framework to handle uncertain and vague data. Seven criteria and ten alternatives are examined in this study. The Triangular Linguistic Neutrosophic Cubic Fuzzy Number approach is employed to evaluate …


The Numerical Applications Of (Abm) And (Amm) Numerical Methods On Some Neutrosophic And Dual Problems, Ahmed Salem Heilat Apr 2025

The Numerical Applications Of (Abm) And (Amm) Numerical Methods On Some Neutrosophic And Dual Problems, Ahmed Salem Heilat

Neutrosophic Sets and Systems

The objective of this paper is to present two neutrosophic numerical methods for finding the numerical solutions for some neutrosophic differential equations, where a numerical comparison between AMM and ABM methods with numerical tables that clarify some numerical results of the previous two methods applied on some neutrosophic initial value problems IVP. Also, we apply the same methods on dual variables problems, and we will show that they will give us the same numerical results


Landscape Design Quality Evaluation Of Abandoned Coal Mine Sites Using Single-Valued Triangular Neutrosophic Numbers, Ye Liang Apr 2025

Landscape Design Quality Evaluation Of Abandoned Coal Mine Sites Using Single-Valued Triangular Neutrosophic Numbers, Ye Liang

Neutrosophic Sets and Systems

This research uses Single-Valued Triangular Neutrosophic Numbers (SVTNNs) to address uncertainty and vague problems in the Abandoned Coal Mine Sites evaluation. By adjusting the subjective assessments, Single-Valued Triangular Neutrosophic Numbers handle degrees of affiliation and disassociation as well as additional unclear degrees of neutral opinion. The WENSLO approach is used to compute criteria weights. To develop a hybrid model that handles ambiguity more adaptable, this study combines the WENSLO method with the Single Valued Triangular Neutrosophic Numbers-based REGIME strategy. In conclusion, we used these methods to confirm the precision of the calculations made using the suggested approach. The fundamental idea …


Enhancing Missing Data Imputation For Migrants Data: A Neutrosophic Set-Based Machine Learning Approach, Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud Apr 2025

Enhancing Missing Data Imputation For Migrants Data: A Neutrosophic Set-Based Machine Learning Approach, Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud

Neutrosophic Sets and Systems

This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambiguity, are well-suited for managing the complex nature of missing information in sensitive fields like migration research. We test the effectiveness of KNN, SVM, decision tree, random forest, and Ada Boost algorithms on a migrant dataset, comparing their results using different imputation methods (mean/mode, model-based imputer (simple tree), and random values). Our research showed that our proposed approach, which used neutrosophic sets, improved imputation accuracy and strengthened model reliability. …


Practical Overview Of Triangular Bipolar Neutrosophic Numbers For Design Effect Evaluation Of Ethnic Minority Clothing: Comprehensive Guide, Haiting Chen Apr 2025

Practical Overview Of Triangular Bipolar Neutrosophic Numbers For Design Effect Evaluation Of Ethnic Minority Clothing: Comprehensive Guide, Haiting Chen

Neutrosophic Sets and Systems

This paper offers a novel multi-criteria decision-making (MCDM) paradigm to handle the problem of assessing and prioritizing design effect evaluation of ethnic minority clothing. The framework incorporates the ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) technique for objective alternative evaluation and CRITIC method for robust weight determination. This novel method, CRITIC-ARTASI, makes use of a unique algorithm for logical reasoning and makes it easier to make decisions while designing effect evaluation of ethnic minority clothing. 7 Criteria and 13 are used in this study. Sensitivity studies were used to thoroughly assess the correctness and stability of the suggested …


Human Capital And Innovation In Developed And Developing Countries: A Systematic Literature Review Using Methodi Ordinatio And Hypersoft Sets, Leonardo José España-Barraza, Efraín Javier De-La-Hoz-Granadillo, Katia Ninozca Flores-Ledesma Apr 2025

Human Capital And Innovation In Developed And Developing Countries: A Systematic Literature Review Using Methodi Ordinatio And Hypersoft Sets, Leonardo José España-Barraza, Efraín Javier De-La-Hoz-Granadillo, Katia Ninozca Flores-Ledesma

Neutrosophic Sets and Systems

This article aims to analyze the influence of human capital on innovation. To achieve this, the Methodi Ordinatio methodology was used. The search for scientific articles was done using the Scopus and Web of Science databases. Only documents published between 2013 and 2023 were selected. The systematic review of the literature shows that human capital is relevant in promoting innovation in any type of economy; however, the impact may vary depending on the economic and regional context being studied. The data obtained are analyzed with the help of the hybridization of the Methodi Ordinatio with the HyperSoft Sets theory. In …


Clear Approach To Education Quality Evaluation Of Multilingual Higher Education Internationalization Under Probabilistic Simplified Neutrosophic Sets For Academic Improvement, Qing Li, Wenya Chen Apr 2025

Clear Approach To Education Quality Evaluation Of Multilingual Higher Education Internationalization Under Probabilistic Simplified Neutrosophic Sets For Academic Improvement, Qing Li, Wenya Chen

Neutrosophic Sets and Systems

An integrated multi-criteria decision-making (MCDM) approach is used in this study to evaluate multilingual higher education internationalization. This study is the first to employ a novel combination technique that has not yet been used for corporate performance evaluation. It is based on root assessment method (RAM) and indifference threshold-based attribute ratio analysis (ITARA) methodologies. The weights of the criteria are determined using the ITARA approach, and the RAM method is used to rank the alternatives. these methods are used under the neutrosophic sets to deal with vague and uncertainty data. This study uses the Probabilistic Simplified Neutrosophic sets to overcome …


Effective Approach To Shock Absorption Performance Evaluation Of Mechanical Component Springs Using The Single Valued Trapezoidal Neutrosophic Numbers For Structural Stability, Hanwei Qu, Caiyun Duan, Jiancheng Yu Apr 2025

Effective Approach To Shock Absorption Performance Evaluation Of Mechanical Component Springs Using The Single Valued Trapezoidal Neutrosophic Numbers For Structural Stability, Hanwei Qu, Caiyun Duan, Jiancheng Yu

Neutrosophic Sets and Systems

We propose a decision-making approach for shock absorption performance evaluation of mechanical component springs. The main goal of this research is to provide a decision support system that will help decision makers to select the best alternative to alleviate this ambiguity. The selection of the best alternative is done using the multi-attribute group decision-making approach. The hybrid model is created utilizing two-step logarithmic normalization (ARLON) and Single Valued Trapezoidal Neutrosophic Numbers (SVTNNs) for MEREC and alternative ranking. The criteria's relevance levels are ascertained using the innovative SVTNN-MEREC approach. The alternatives are ranked using the recently developed SVTNN-ARLON technique. The suggested …


Fixed Point Theorems In Neutrosophic Fuzzy Metric Space And A Characterization To Its Completeness, Samriddhi Ghosh, Ramakant Bhardwaj, Satyendra Narayan, Sonam Sonam Apr 2025

Fixed Point Theorems In Neutrosophic Fuzzy Metric Space And A Characterization To Its Completeness, Samriddhi Ghosh, Ramakant Bhardwaj, Satyendra Narayan, Sonam Sonam

Neutrosophic Sets and Systems

The present research work aims to establish some basic conventional fixed point theorems such as the Banach fixed point theorem, Edelstein fixed point theorem and Kannan fixed point theorem, for a recently introduced topological space, known as the neutrosophic fuzzy metric space. The Kannan fixed point theorem has also further been classified into two categories namely, (1/2)−Kannan and (1)−Kannan fixed point theorems. Also the concept of semi-metric in the said space has been introduced, and along with it the results hence obtained are used to characterize the completeness of the mentioned space. To the best of known literatures, this type …


Application Of The Neutrosophic Fuzzy Sets In Profession Determination, K. Rajesh, S. Moorthy, A. Jeeva, D. Moganraj Apr 2025

Application Of The Neutrosophic Fuzzy Sets In Profession Determination, K. Rajesh, S. Moorthy, A. Jeeva, D. Moganraj

Neutrosophic Sets and Systems

We present several operations, such as algebraic sum, algebraic product, and arithmetic mean, over the neutrosophic sets extended with moment in time and sketch numbers. Through mathematical illustrations, we explore various properties and apply this concept to professional decision-making. Existing neutrosophic set (NS) and fuzzy set theories lack the capability to dynamically account for time and evolving circumstances. Many approaches fail to provide satisfactory solutions for handling evolving decision criteria or dynamic uncertainties. While operations like algebraic sum, algebraic product, and arithmetic mean exist for neutrosophic sets, their adaptation and extension to dynamic and temporal dimensions (moment in time and …


Solving A Global-Mixed Integer Signomial Geometric Fractional Programming Problem, J. Shirin Nejad, M. Saraj Apr 2025

Solving A Global-Mixed Integer Signomial Geometric Fractional Programming Problem, J. Shirin Nejad, M. Saraj

Neutrosophic Sets and Systems

This article addresses mixed integer fractional signomial geometric programming (MIFSGP) problems, which have been widely used in industrial design. In this paper, first, we convert fractional signomial programming into a nonfractional problem so that it maintains its geometric structure. Then, convex relaxation is used to reach a mixed integer global solution. Although, in many cases, we obtain a better objective function value with this process, designers may still be dissatisfied with the rupture between the original objective function value and the relaxed value. Therefore, we apply a spatial branch and bound algorithm to decrease that distance to an acceptable extent …


Risk Assessment Of Municipal Water Supply And Drainage Project Costs Using Neutrosophic Numbers, Huihui Gao, Kun Qian Apr 2025

Risk Assessment Of Municipal Water Supply And Drainage Project Costs Using Neutrosophic Numbers, Huihui Gao, Kun Qian

Neutrosophic Sets and Systems

Risk assessment of municipal water supply and drainage project costs is a multi-criteria decision making (MCDM) problem. Water supply and drainage have various conflict criteria. Two MCDM methods are used in this study such as SIWEC and MACONT. The SIWEC method is used to compute the criteria weights and the MACONT method is used to rank the alternatives. These methods are used under the trapezoidal fuzzy neutrosophic sets (TFNSs) to deal with uncertainty and vague information. Eight criteria and eleven alternatives ate used to evaluate the MCDM problem. The sensitivity analysis is conducted to show the stability of the ranks. …


Edge Connectivity Of A Neutrosophic Graph, Aparna Tripathy, Amaresh Chandra Panada, Siva Prasad Behera, Bhabani S. Mohanty Apr 2025

Edge Connectivity Of A Neutrosophic Graph, Aparna Tripathy, Amaresh Chandra Panada, Siva Prasad Behera, Bhabani S. Mohanty

Neutrosophic Sets and Systems

Neutosophic graphs are an extension of fuzzy and intuitionistic fuzzy graphs by including the uncertainty, vagueness, and indeterminacy that are normal in the real world. This paper looks into the edge connectivity of a neutrosophic graph, which is a basic parameter that shows how strong and fault-tolerant networks are that are modelled by these graphs. Edge connectivity, which is the smallest number of edges that need to be taken away from a graph to make it trivial or disconnected, is a key concept in figuring out how strong and resilient networks are in many situations. This paper also addresses computational …


Neutrosophic Augmented Lagrange Multipliers Method Nonlinear Programming Problems Constrained By Inequalities, Maissam Jdid, Florentin Smarandache, Takaaki Fujita Apr 2025

Neutrosophic Augmented Lagrange Multipliers Method Nonlinear Programming Problems Constrained By Inequalities, Maissam Jdid, Florentin Smarandache, Takaaki Fujita

Neutrosophic Sets and Systems

Operations research uses scientific methods that take the language of mathematics as a basis and uses the computer, without which it would not be possible to achieve numerical solutions to the problems raised. It is concerned with applying scientific methods to complex issues in the management and direction of large systems in various fields and private and governmental businesses in peace and war in politics, management, economics, planning and implementation and in all aspects of life. In issues that require sound solutions, when solutions are numerous and options are multiple, we need a decision based on sound scientific foundations that …


The Double Integrals Of 2- Refined Neutrosophic Functions And Its Applications, Yaser Ahmad Alhasan, Asma Mohammed Alshallali, Qusay Alhassan Apr 2025

The Double Integrals Of 2- Refined Neutrosophic Functions And Its Applications, Yaser Ahmad Alhasan, Asma Mohammed Alshallali, Qusay Alhassan

Neutrosophic Sets and Systems

The importance of this paper comes from the fact that it presented a study of the double integrals of 2- refined neutrosophic functions and its applications, where we presented several theories for the concept of the double integrals of 2- refined neutrosophic functions over a general region and over a rectangle, including the 2- refined neutrosophic Fubini’s theorem. In addition to discussing applications of double integrals of 2- refined neutrosophic functions to calculate the area of region. Also, We took into account the definition of the positive 2- refined neutrosophic number, and the n-refined AH-Isometry.


Complex Fermatean Neutrosophic Sets And Their Applications In Decision Making, Vijaya V, Said Broumi, Manikandan H Apr 2025

Complex Fermatean Neutrosophic Sets And Their Applications In Decision Making, Vijaya V, Said Broumi, Manikandan H

Neutrosophic Sets and Systems

Complex Neutrosophic Sets have emerged as a groundbreaking paradigm for handling uncertainty in complex-valued variables. By defining truth, indeterminacy, and falsity membership functions within the unit circle of the complex plane, this innovative framework provides a robust foundation for uncertainty management. This paper introduces a novel hesitance distance measure for Complex Fermatean Neutrosophic Sets, enabling the quantification of uncertainty in complex decision-making scenarios. The proposed distance measure is applied to solve a Multi-Criteria Decision Making Problem, demonstrating its effectiveness in handling uncertainty and ambiguity. This research has far-reaching implications for various fields, including decision theory, artificial intelligence, and operations research. …


Quadratic Stochastic Processes: Algebraic Structures And Their Applications, Taimun Saleh Qaisar Apr 2025

Quadratic Stochastic Processes: Algebraic Structures And Their Applications, Taimun Saleh Qaisar

Dissertations

This research focuses on the algebraic structures of the Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠). In this work, we first study 𝜉𝑎- Quadratic Stochastic Operators (𝑄𝑆𝑂𝑠) linked to the partition P3. We simultaneously discuss the dynamics of the obtained 𝑄𝑆𝑂𝑠. Moreover, algebraic structure of the associated genetic algebra is studied. Further, we build Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠) using the given Markov processes. Consequently, we obtain an ordinary differential equation for the resultant Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠). Besides, we apply the solution of this ordinary differential equation for the option pricing problem. Thereafter, we construct Quadratic Stochastic Processes (𝑄𝑆𝑃𝑠) in three-dimensional space by …


Context-Aware Representation: Jointly Learning Item Features And Selection From Triplets, Rodrigo Alves, Antoine Ledent Apr 2025

Context-Aware Representation: Jointly Learning Item Features And Selection From Triplets, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

In areas of machine learning such as cognitive modeling or recommendation, user feedback is usually context-dependent. For instance, a website might provide a user with a set of recommendations and observe which (if any) of the links were clicked by the user. Similarly, there is growing interest in the so-called “odd-one-out” learning setting, where human participants are provided with a basket of items and asked which is the most dissimilar to the others. In both of those cases, the presence of all the items in the basket can influence the final decision. In this article, we consider a classification task …


Use Of Search Tools In Software Development: A Study Of Microservice-Based Team Projects, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang Apr 2025

Use Of Search Tools In Software Development: A Study Of Microservice-Based Team Projects, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Universities are increasingly integrating real-world projects into software engineering curricula to preparestudents for careers involving complex concepts like Microservices Architecture (MSA). Students frequentlystruggle with such concepts within limited class time and turn to various search tools and online resources for additional help. Search tools are also widely used in the software development industry. While search engines, like Google and Yahoo!, can provide quick solutions, they pose the risk of information overload. Large Language Models (LLMs) such as ChatGPT, offer the advantage of delivering more precise answers. Studies have shown that LLMs can comprehend codes, assist in system architectural design, and …


Frame-Voyager: Learning To Query Frames For Video Large Language Models, Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun Apr 2025

Frame-Voyager: Learning To Query Frames For Video Large Language Models, Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun

Research Collection School Of Computing and Information Systems

Video Large Language Models (Video-LLMs) have made remarkable progress in video understanding tasks. However, they are constrained by the maximum length of input tokens, making it impractical to input entire videos. Existing frame selection approaches, such as uniform frame sampling and text-frame retrieval, fail to account for the information density variations in the videos or the complex instructions in the tasks, leading to sub-optimal performance. In this paper, we propose Frame-Voyager that learns to query informative frame combinations, based on the given textual queries in the task. To train Frame-Voyager, we introduce a new data collection and labeling pipeline, by …


Does Chatgpt-Permitted Assessments Help Students Generate Better Answers And Learn More?, Michelle L. F. Cheong, Yun-Chen Chen Apr 2025

Does Chatgpt-Permitted Assessments Help Students Generate Better Answers And Learn More?, Michelle L. F. Cheong, Yun-Chen Chen

Research Collection School Of Computing and Information Systems

We discuss our methodology and implementation of ChatGPT-permitted assessments for a university-level spreadsheets modelling module. Through our quantitative data analysis, our students rated ChatGPT’s answers to be incorrect on average and thus will not help them generate better answers directly, representing low “Perceived usefulness” (PU), while they rated ChatGPT 3.5 with relatively high “Perceived ease of use” (PE). They gave a good “Behavioural intention” (BI) rating indicating that they were motivated to use it in future as they could still learn more about this module by using ChatGPT 3.5. We found that both PU and PE affected BI positively, with …


Verification Of Bit-Flip Attacks Against Quantized Neural Networks, Yedi Zhang, Lei Huang, Pengfei Gao, Fu Song, Jun Sun, Jin Song Dong Apr 2025

Verification Of Bit-Flip Attacks Against Quantized Neural Networks, Yedi Zhang, Lei Huang, Pengfei Gao, Fu Song, Jun Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

In the rapidly evolving landscape of neural network security, the resilience of neural networks against bit-flip attacks (i.e., an attacker maliciously flips an extremely small amount of bits within its parameter storage memory system to induce harmful behavior), has emerged as a relevant area of research. Existing studies suggest that quantization may serve as a viable defense against such attacks. Recognizing the documented susceptibility of real-valued neural networks to such attacks and the comparative robustness of quantized neural networks (QNNs), in this work, we introduce BFAVerifier, the first verification framework designed to formally verify the absence of bit-flip attacks against …


On Generalization Across Environments In Multi-Objective Reinforcement Learning, Jayden Jing Xiang Teoh, Pradeep Varakantham, Peter Vamplew Apr 2025

On Generalization Across Environments In Multi-Objective Reinforcement Learning, Jayden Jing Xiang Teoh, Pradeep Varakantham, Peter Vamplew

Research Collection School Of Computing and Information Systems

No abstract provided.


Pearl: Towards Permutation-Resilient Llms, Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong Apr 2025

Pearl: Towards Permutation-Resilient Llms, Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

The in-context learning (ICL) capability of large language models (LLMs) enables them to perform challenging tasks using provided demonstrations. However, ICL is highly sensitive to the ordering of demonstrations, leading to instability in predictions. This paper shows that this vulnerability can be exploited to design a natural attack - difficult for model providers to detect - that achieves nearly 80% success rate on LLaMA-3 by simply permuting the demonstrations. Existing mitigation methods primarily rely on post-processing and fail to enhance the model's inherent robustness to input permutations, raising concerns about safety and reliability of LLMs. To address this issue, we …


Ada-Gen: Iterative And Incremental Generation Of Full-Stack Apps For Learning Agile/Devops Software Development Practices, Nguyen Binh Duong Ta Apr 2025

Ada-Gen: Iterative And Incremental Generation Of Full-Stack Apps For Learning Agile/Devops Software Development Practices, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

To learn Agile/DevOps practices effectively, students need to apply them in an actual software development project. This is challenging if students are mostly from non-computing backgrounds and they do not have time in the curriculum to learn programming and related tools. Therefore, it is important to help students who do not possess programming foundations to develop fully functional software during the process of learning Agile/DevOps concepts. We noted that existing low-code/no-code app development platforms have not been designed to teach Agile/DevOps practices. On the other hand, recent AI-based tools for code generation such as GitHub Copilot have been built mainly …


On Unraveling Student Resilience And Academic Performance In Higher Education, Aldy Gunawan, Ee-Peng Lim, Audrey Tedja Widjaja, William Tov, James Foo, Lieven Lode E. Demeester Apr 2025

On Unraveling Student Resilience And Academic Performance In Higher Education, Aldy Gunawan, Ee-Peng Lim, Audrey Tedja Widjaja, William Tov, James Foo, Lieven Lode E. Demeester

Research Collection School Of Computing and Information Systems

The transition period from pre-tertiary to higher education levels is critical. We explore the role of resilience by conducting a survey to investigate students’ resilience and the relationship with overall academic performance, learning experience, and well-being. This effort is part of an initiative to develop strategies for better student engagement in the academic program, enhance their resilience, and prepare them for a competitive job market. We conclude that (i) high-resilience students are associated with better life satisfaction and are likely to perform well academically, (ii) a favorable learning environment supports students to study and perform well in the university, and …


A Selective Vehicle Routing Problem For The Bloodmobile System, Aldy Gunawan, Samuel Alan Darmasaputra, Sy Hoang Do, Vincent F. Yu Apr 2025

A Selective Vehicle Routing Problem For The Bloodmobile System, Aldy Gunawan, Samuel Alan Darmasaputra, Sy Hoang Do, Vincent F. Yu

Research Collection School Of Computing and Information Systems

Mobile blood collection has the advantage of greater reach compared to blood drives at fixed donation sites and is preferable for individuals with limited time or means of transportation. Bloodmobiles are widely used in healthcare logistics to increase the number of donors and donation frequency and to better match blood demand with collection. Bloodmobiles are stationed at predetermined locations, while shuttles are assigned to visit these locations to collect the donated blood. This problem is formulated as the Selective Vehicle Routing Problem under the Bloodmobile System (SVRP-BM). This research extends the Selective Vehicle Routing Problem with Integrated Tours problem (SVRPwIT) …


Capo: Cooperative Plan Optimization For Efficient Embodied Multi-Agent Cooperation, Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees Snoek, Jan-Jakob Sonke, Efstratios Gavves Apr 2025

Capo: Cooperative Plan Optimization For Efficient Embodied Multi-Agent Cooperation, Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees Snoek, Jan-Jakob Sonke, Efstratios Gavves

Research Collection School Of Computing and Information Systems

In this work, we address the cooperation problem among large language model (LLM) based embodied agents, where agents must cooperate to achieve a common goal. Previous methods often execute actions extemporaneously and incoherently, without long-term strategic and cooperative planning, leading to redundant steps, failures, and even serious repercussions in complex tasks like search-and-rescue missions where discussion and cooperative plan are crucial. To solve this issue, we propose Cooperative Plan Optimization (CaPo) to enhance the cooperation efficiency of LLM-based embodied agents. Inspired by human cooperation schemes, CaPo improves cooperation efficiency with two phases: 1) meta-plan generation, and 2) progress-adaptive meta-plan and …