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Deep Reinforcement Learning For Solving The Stochastic E-Waste Collection Problem, Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Kwan Hui Lim, Pieter Vansteenwegen Nov 2025

Deep Reinforcement Learning For Solving The Stochastic E-Waste Collection Problem, Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Kwan Hui Lim, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

With the growing influence of the internet and information technology, Electrical and Electronic Equipment (EEE) has become a gateway to technological innovations. However, discarded devices, also called e-waste, pose a significant threat to the environment and human health if not properly treated, disposed of, or recycled. In this study, we extend a novel model for the e-waste collection in an urban context: the Heterogeneous VRP with Multiple Time Windows and Stochastic Travel Times (HVRP-MTWSTT). We propose a solution method that employs deep reinforcement learning to guide local search heuristics (DRL-LSH). The contributions of this paper are as follows: (1) HVRP-MTWSTT …

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Generative Ai And Empirical Software Engineering: A Paradigm Shift, Christoph Treude, Margaret-Anne Storey Nov 2025

Generative Ai And Empirical Software Engineering: A Paradigm Shift, Christoph Treude, Margaret-Anne Storey

Research Collection School Of Computing and Information Systems

The widespread adoption of generative AI in software engineering marks a paradigm shift, offering new opportunities to design and utilize software engineering tools while influencing both developers and the artifacts they create. Traditional empirical methods in software engineering, including quantitative, qualitative, and mixed-method approaches, are well established. However, this paradigm shift introduces novel data types and redefines many concepts in the software engineering process. The roles of developers, users, agents, and researchers increasingly overlap, blurring the distinctions between these social and technical actors within the field. This paper examines how integrating AI into software engineering challenges traditional research paradigms. It …

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Predict Social Economic Outcomes By Transferred Knowledge With Satellite Imagery, Yang Tang, Shih-Fen Cheng, Yunqiang Zhu, Yichen Yang, Zhiqiang Zou Nov 2025

Predict Social Economic Outcomes By Transferred Knowledge With Satellite Imagery, Yang Tang, Shih-Fen Cheng, Yunqiang Zhu, Yichen Yang, Zhiqiang Zou

Research Collection School Of Computing and Information Systems

Traditional deep learning methods and econometric models have played a crucial role in the field of data mining, particularly in the prediction of socioeconomic outcomes. However, socio-economic information is unable to be directly extracted from remote sensing data. So, in this paper, we propose a method to leverage transfer learning to predict socioeconomic indicators (outcomes) through satellite imagery. Specifically, we use road network types as a proxy for socioeconomic factors, which is more effective and stable than using nightlight. We have extracted eleven distinct road topological features to generate reasonable road network types. Given the unique characteristics of road networks, …

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Defects4c: Benchmarking Large Language Model Repair Capability With C/C++ Bugs, Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li Nov 2025

Defects4c: Benchmarking Large Language Model Repair Capability With C/C++ Bugs, Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this issue, we introduce Defects4C, a comprehensive and executable benchmark specifically designed for C/C++ program repair. Our dataset is constructed from real-world C/C++ repositories and includes a large …

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Mmlu-Prox: A Multilingual Benchmark For Advanced Large Language Model Evaluation, Weihao Xuan, Et. Al. Nov 2025

Mmlu-Prox: A Multilingual Benchmark For Advanced Large Language Model Evaluation, Weihao Xuan, Et. Al.

Research Collection School Of Computing and Information Systems

Existing large language model (LLM) evaluation benchmarks primarily focus on English, while current multilingual tasks lack parallel questions that specifically assess cross-lingual reasoning abilities. This dual limitation makes it challenging to assess LLMs’ performance in the multilingual setting comprehensively. To fill this gap, we introduce MMLU-ProX, a comprehensive benchmark covering 29 languages, built on an English benchmark. Each language version consists of 11,829 identical questions, enabling direct cross-lingual comparisons. Additionally, to meet efficient evaluation needs, we provide a lite version containing 658 questions per language. To ensure the high quality of MMLU-ProX, we employ a rigorous development process that involves …

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Interaction2code: Benchmarking Mllm-Based Interactive Webpage Code Generation From Interactive Prototyping, Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zixin Wang, Xinyi Xu, Wenxuan Wang, Zhiyao Xu, Yuhang Wang, Michael R. Lyu Nov 2025

Interaction2code: Benchmarking Mllm-Based Interactive Webpage Code Generation From Interactive Prototyping, Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zixin Wang, Xinyi Xu, Wenxuan Wang, Zhiyao Xu, Yuhang Wang, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance on the design-to-code task, i.e., generating UI code from UI mock-ups. However, existing benchmarks only contain static web pages for evaluation and ignore the dynamic interaction, limiting the practicality, usability and user engagement of the generated webpages. To bridge these gaps, we present the first systematic investigation of MLLMs in generating interactive webpages. Specifically, we formulate the Interaction-to-Code task and establish the Interaction2Code benchmark, encompassing 127 unique webpages and 374 distinct interactions across 15 webpage types and 31 interaction categories. Through comprehensive experiments utilizing state-of-theart (SOTA) MLLMs, evaluated via both automatic …

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Intentionframe: A Semi-Structured, Multi-Aspect Framework For Fine-Grained Conversational Intention Understanding, Zailong Tian, Zhuoheng Han, Lizi Liao, Lizi Liao Nov 2025

Intentionframe: A Semi-Structured, Multi-Aspect Framework For Fine-Grained Conversational Intention Understanding, Zailong Tian, Zhuoheng Han, Lizi Liao, Lizi Liao

Research Collection School Of Computing and Information Systems

Understanding user intentions in multi-turn dialogues is critical for conversational AI, yet existing approaches—relying on rigid slot-value structures or unstructured free-text—fail to fully capture conversational complexity. In this paper, we propose IntentionFrame, a semi-structured framework inspired by psychological and cognitive intention theories, which organizes conversational intents into four interrelated aspects: situation, emotion, action, and knowledge. This design not only retains interpretability but also provides LLMs with a rich context to accurately parse and respond to nuanced user inputs. To efficiently scale IntentionFrame annotations, we introduce a Weakly-supervised Reinforced Generation (WeRG) method that leverages a small set of high-quality human annotations …

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Distillcaps: Enhancing Audio-Language Alignment In Captioning Via Retrieval-Augmented Knowledge Distillation, Thinh Pham, Nghiem Diep, Lizi Liao, Binh Nguyen Nov 2025

Distillcaps: Enhancing Audio-Language Alignment In Captioning Via Retrieval-Augmented Knowledge Distillation, Thinh Pham, Nghiem Diep, Lizi Liao, Binh Nguyen

Research Collection School Of Computing and Information Systems

Automated audio captioning (AAC) benefits from incorporatingexternal context to interpret complex sounds, but doing so withretrieval-augmented generation (RAG) at inference is sometimesinfeasible due to data availability or incurs significant latency andcomplexity. We propose DistillCaps, a novel training-time frame-work that leverages RAG to guide knowledge distillation for im-proved audio-language alignment, while lessening the relianceon retrieval during inference. In our framework, a RAG-equippedteacher model retrieves relevant textual information (e.g., simi-lar captions) for each audio clip and uses it for training to gener-ate context-enriched captions. Simultaneously, a student model istrained to imitate this teacher, learning to produce high-qualitycaptions from audio alone. We further …

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Metacan: Improving Generalizability Of Few‑Shot Anomaly Detection With Meta‑Learning, Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu Nov 2025

Metacan: Improving Generalizability Of Few‑Shot Anomaly Detection With Meta‑Learning, Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu

Research Collection School Of Computing and Information Systems

Few-shot Anomaly Detection (AD) for images aims to detect anomalies with few-shot normal samples from the target dataset. It is a crucial task when only few samples can be obtained, and it is challenging since it needs to be generalized to different domains. Existing methods try to enhance the generalizability of AD by incorporating large vision-language models (LVLMs).However, how to transform category semantic information in LVLMs into anomaly information to improve the generalizability of AD remains a challenge facing existing methods.To address the challenge, we propose a few-shot AD method called MetaCAN, a novel category-to-anomaly network trained with AD meta-learning …

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International Workshop On Multimodal Generative Search And Recommendation (Mmgensr@Cikm 2025), Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat‑Seng Chua Nov 2025

International Workshop On Multimodal Generative Search And Recommendation (Mmgensr@Cikm 2025), Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

Recent breakthroughs in generative Artificial Intelligence (AI) have ignited a revolutionary wave across information retrieval and recommender systems. This workshop serves as a premier interdisciplinary platform to explore how generative models, particularly Large Language Models (LLMs) and Large Multimodal Models (LMMs), are transforming multimodal search and recommendation paradigms [3, 6, 9, 10, 12-14]. We aim to convene researchers and practitioners to discuss innovative architectures, methodologies, and evaluation strategies spanning generative document retrieval [5, 8] generative image retrieval [ 7, 16], grounded answer generation [17], generative recommendation [2, 4, 11], and related tasks involving multiple modalities [1,15]. The workshop will facilitate …

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Designing For Novice Debuggers: A Pilot Study On An Ai-Assisted Debugging Tool, Oka Kurniawan, Erick Chandra, Christopher M. Poskitt, Yannic Noller, Kenny T.W. Choo, Cyrille Jegourel Nov 2025

Designing For Novice Debuggers: A Pilot Study On An Ai-Assisted Debugging Tool, Oka Kurniawan, Erick Chandra, Christopher M. Poskitt, Yannic Noller, Kenny T.W. Choo, Cyrille Jegourel

Research Collection School Of Computing and Information Systems

Debugging is a fundamental skill that novice programmers must develop. Numerous tools have been created to assist novice programmers in this process. Recently, large language models (LLMs) have been integrated with automated program repair techniques to generate fixes for students' buggy code. However, many of these tools foster an over-reliance on AI and do not actively engage students in the debugging process. In this work, we aim to design an intuitive debugging assistant, CodeHinter, that combines traditional debugging tools with LLM-based techniques to help novice debuggers fix semantic errors while promoting active engagement in the debugging process. We present findings …

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Security Modelling For Cyber-Physical Systems: A Systematic Literature Review, Shao Fei Huang, Christopher M. Poskitt, Lwin Khin Shar Nov 2025

Security Modelling For Cyber-Physical Systems: A Systematic Literature Review, Shao Fei Huang, Christopher M. Poskitt, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Cyber-physical systems are at the intersection of digital technology and engineering domains, rendering them high-value targets of sophisticated and well-funded cybersecurity threat actors. Prominent cybersecurity attacks on CPS have brought attention to the vulnerability of these systems and the inherent weaknesses of critical infrastructure reliant on them. Security modelling for CPS is an important mechanism to systematically identify and assess vulnerabilities, threats, and risks throughout system life cycles, and to ultimately ensure system resilience, safety, and reliability. This survey delves into state-of-the-art research on CPS security modelling, encompassing both threat and attack modelling. While these terms are sometimes used interchangeably, …

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Simulated Interactive Debugging, Yannic Noller, Erick Chandra, Srinidhi Chandrashekar, Kenny Choo, Cyrille Jegourel, Oka Kurniawan, Christopher M. Poskitt Nov 2025

Simulated Interactive Debugging, Yannic Noller, Erick Chandra, Srinidhi Chandrashekar, Kenny Choo, Cyrille Jegourel, Oka Kurniawan, Christopher M. Poskitt

Research Collection School Of Computing and Information Systems

Debugging software, i.e., the localization of faults and their repair, is a key activity in software engineering. Therefore, effective and efficient debugging is one of the core skills a software engineer must develop. However, the teaching of debugging techniques is usually very limited or only taught in indirect ways, e.g., during software projects. As a result, most Computer Science (CS) students learn debugging only in an ad-hoc and unstructured way. In this work, we present our approach called Simulated Interactive Debugging that interactively guides students along the debugging process. The guidance aims to empower the students to repair their solutions …

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Instructors’ Strategies In Creating And Implementing Constructivist Llm-Based Learning Activities, Emily Aurelia, Shun Yi Yeo, Michelle Lui, Effie Lai-Chong Law, Anthony Tang Nov 2025

Instructors’ Strategies In Creating And Implementing Constructivist Llm-Based Learning Activities, Emily Aurelia, Shun Yi Yeo, Michelle Lui, Effie Lai-Chong Law, Anthony Tang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) are increasingly being integrated into educational settings, enabling more adoption of constructivist teaching and learning approaches in classrooms. This paper explores the strategies instructors are currently using to incorporate LLMs into learning activities that align with constructivist principles, which emphasize that learners actively construct their own knowledge. Through interviews with nine instructors who have designed eleven distinct LLM-based activities and using reflexive thematic analysis, this study identifies various types of learning activities with respect to four different aspects of the constructivist learning theory. The strategies employed and challenges faced to foster constructivist student-LLM interaction were also …

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Research Review: "Structure In Transition: The Role Of Structure In Facilitating Workplace Efficacy And Belonging For Military Veterans", Institute For Veterans And Military Families At Syracuse University Nov 2025

Research Review: "Structure In Transition: The Role Of Structure In Facilitating Workplace Efficacy And Belonging For Military Veterans", Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Employment transitions necessitate a degree of uncertainty and lack of control, which may present a challenge to succeeding and belonging at a new organization. The present research tests ideas derived from compensatory control theory which posits that people may seek external structure to help exert control over their lives when they experience a lack of control in an important life domain – and that this can aid in their goal pursuit. Across three studies, we explore whether the perception of a higher degree of organizational structure can help employees compensate for uncertainty and lack of control and facilitate transitioning employees’ …

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Bioaccumulation Pattern Of Per- And Polyfluoroalkyl Substances (Pfas) In Fish Tissues From Two Freshwater Systems, Margaret D. Taiwo, Husam Kafeenah, David D. Duvernell, Michael O. Eze Nov 2025

Bioaccumulation Pattern Of Per- And Polyfluoroalkyl Substances (Pfas) In Fish Tissues From Two Freshwater Systems, Margaret D. Taiwo, Husam Kafeenah, David D. Duvernell, Michael O. Eze

Biological Sciences Faculty Research & Creative Works

Per- and polyfluoroalkyl substances (PFAS) are known for their persistence, ubiquity, bioaccumulation in different matrices of the environment and their detrimental effect on human health. In this study, we used EPA 1633 to examine the prevalence of ten PFAS compounds in two freshwater systems and investigated their bioaccumulation pattern across different tissues of grass carp fish (Ctenopharyngodon idella), common carp (Cyprinus carpio), and flathead catfish (Pylodictis olivaris). Among the PFAS compounds analyzed, PFBS exhibited the highest concentration in the freshwater sample, exceeding the U.S. EPA regulatory limit of 4 ng/L for drinking water. The total PFAS concentrations in the muscle, …

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Enhancing The Acceptability Of Decision-Making System Using Xai Case: Crime Profiling System, Mohamed Saeed Al Shamsi Nov 2025

Enhancing The Acceptability Of Decision-Making System Using Xai Case: Crime Profiling System, Mohamed Saeed Al Shamsi

Theses

In the current world, we need to place more emphasis on how easily interpretable, accurate, and acceptable data analysis results are, given that essential operations in law enforcement, among other sectors, are backed up by the use of complex computing systems. Crime profiling systems that use crime data for profiling encounter major problems because they depend on algorithm-based methods. These methods can be ambiguous and inaccurate, leading to low public acceptability. The study investigates major problems with Complex Crime profiling systems (CPS) because their unexplained algorithms result in system performance issues and public scepticism. XAI provides a solution to handle …

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How Do Emirati University Students Develop Their Academic Biliteracy? A Mixed-Method Study, Eman Kamel Rababa Nov 2025

How Do Emirati University Students Develop Their Academic Biliteracy? A Mixed-Method Study, Eman Kamel Rababa

Dissertations

Framed by Hornberger’s continua of biliteracy model, this study investigated the developmental dynamics of academic biliteracy among Emirati university students. The research employed a sequential mixed-methods design, conducted across three public universities in the UAE. In the initial qualitative phase, interview data were collected from 30 students. Informed by these findings and the extant literature, a quantitative survey was then developed and administered to a sample of 299 students from various disciplines. The qualitative data were analyzed using reflexive thematic analysis, while the quantitative data were examined using advanced statistical analyses, including structural equation modeling. Three primary themes emerged from …

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Did The Dobbs V. Jackson Decision Influence People's Attitudes Toward Abortion Legality Across Abortion Circumstances And Weeks' Gestation?, Lucretia Mena-Melendez, Xiana Bueno, Brandon L. Crawford, Ronna C. Turner, Kristen N. Jozkowski Nov 2025

Did The Dobbs V. Jackson Decision Influence People's Attitudes Toward Abortion Legality Across Abortion Circumstances And Weeks' Gestation?, Lucretia Mena-Melendez, Xiana Bueno, Brandon L. Crawford, Ronna C. Turner, Kristen N. Jozkowski

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Introduction We examined the impact of the 2022 Dobbs v. Jackson Women's Health Organization decision on changes in people's attitudes toward endorsement of legal abortion across abortion circumstances (e.g., woman's health endangerment, low income, rape, unprepared to parent) and weeks' gestation (i.e., never, 6 weeks, 15 weeks, 22 weeks, always).Methods Longitudinal data were collected from a nationally representative sample of English and Spanish-speaking US adults via Ipsos' Knowledge Panel (R) (Wave 1 in June 2022 (N = 1014) and Wave 2 in October 2022 (N = 792)). We explored descriptive changes in attitudes toward endorsement of legal abortion across circumstances …

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Data As Policy, Janet Freilich, W. Nicholson Price Ii Nov 2025

Data As Policy, Janet Freilich, W. Nicholson Price Ii

Faculty Scholarship

A large literature on regulation highlights the many different methods of policy-making: command-and-control rulemaking, informational disclosures, tort liability, taxes, and more. But the literature overlooks a powerful method to achieve policy objectives: data. The state can provide (or suppress) data as a regulatory tool to solve policy problems. For administrations with expansive views of government’s purpose, government-provided data can serve as infrastructure for innovation and push innovation in socially desirable directions; for administrations with deregulatory ambitions, suppressing or choosing not to collect data can reduce regulatory power or serve as a back-door mechanism to subvert statutory or common law rules. …

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Comparison Of Relative Calcium Bioavailability Based On Bone Ash And Apparent Ileal Ca Digestibility In Broiler Chickens, R. L. Drysdale, B. W. Parsons Nov 2025

Comparison Of Relative Calcium Bioavailability Based On Bone Ash And Apparent Ileal Ca Digestibility In Broiler Chickens, R. L. Drysdale, B. W. Parsons

Poultry Science Faculty Publications and Presentations

Two experiments were conducted to determine relative Ca bioavailability based on bone ash and apparent ileal digestibility (AID) of Ca in reagent-grade calcium carbonate (RCaCO3) and RCaCO3 + phytic acid in commercial broiler chickens. In Experiment 1, relative Ca bioavailability of RCaCO3 and RCaCO3 + phytic acid was determined in ad libitum-fed broiler chickens using the slope-ratio method. Dietary treatments were corn-soybean meal-based diets. Diet 1 was Ca-deficient (0.30 % Ca; 0.45 % non-phytate P), while diets 2 through 5 were the same as diet 1, except that 2 increasing levels of RCaCO3 or RCaCO3 + phytic acid were added …

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Judicial Review Of Prosecutorial Discretion: Missed Opportunities, Benjamin Joshua Ong Nov 2025

Judicial Review Of Prosecutorial Discretion: Missed Opportunities, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

Director of Public Prosecutions v Durham (also called Bouye), decd and others [2024] UKPC 21; [2024] 1 W.L.R. 3900 involved an application for judicial review of a decision to prosecute. The Privy Council rightly refused that application on the ground that the evidence did not disclose a ground for judicial review, and the criminal trial would be the more appropriate forum to investigate any further evidence. Unfortunately, the Privy Council missed several opportunities to address various lingering problems with the law on judicial review of prosecutorial decisions.

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Feasibility Of Onshore Power Supply For Port Electrification : A Business Case For Ports, Atti Abbas Shah Nov 2025

Feasibility Of Onshore Power Supply For Port Electrification : A Business Case For Ports, Atti Abbas Shah

World Maritime University Dissertations

No abstract provided.

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Improving Auditing Of The Maritime Education And Training Institutes Of Peru : Process Analysis And Perspectives Of The Stakeholders To Design A Training Program For Auditors, Juan Alberto Sanchez Castañeda Nov 2025

Improving Auditing Of The Maritime Education And Training Institutes Of Peru : Process Analysis And Perspectives Of The Stakeholders To Design A Training Program For Auditors, Juan Alberto Sanchez Castañeda

World Maritime University Dissertations

No abstract provided.

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E-Counseling Platform For Seafarers’ Sound Mental Health : Prospects And Challenges To Implement Globally On-Board Ships, Farzana Yasmin Nov 2025

E-Counseling Platform For Seafarers’ Sound Mental Health : Prospects And Challenges To Implement Globally On-Board Ships, Farzana Yasmin

World Maritime University Dissertations

No abstract provided.

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Marine Environmental Protection : An Investigation Into Existing Global Laws Addressing Marine Plastic Pollution, Maryland De Castro Nov 2025

Marine Environmental Protection : An Investigation Into Existing Global Laws Addressing Marine Plastic Pollution, Maryland De Castro

World Maritime University Dissertations

No abstract provided.

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The Multidoor Courthouse System In Commercial Maritime Disputes : Enhancing Access To Justice And Dispute Resolution Efficiency In Nigeria, Adetola Aderonke Oduwole Nov 2025

The Multidoor Courthouse System In Commercial Maritime Disputes : Enhancing Access To Justice And Dispute Resolution Efficiency In Nigeria, Adetola Aderonke Oduwole

World Maritime University Dissertations

No abstract provided.

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An Analysis Of The Legal And Policy Challenges For Developing Countries In Implementing The Imo’S 2023 Ghg Strategy : A Case Study Of South Africa And Indonesia, Mduduzi Godson Qwabe Nov 2025

An Analysis Of The Legal And Policy Challenges For Developing Countries In Implementing The Imo’S 2023 Ghg Strategy : A Case Study Of South Africa And Indonesia, Mduduzi Godson Qwabe

World Maritime University Dissertations

No abstract provided.

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The Problem Of Noise Pollution In Chinese Waters : Can The Current National Legal Framework Tackle The Problem?, Zhou Wang Nov 2025

The Problem Of Noise Pollution In Chinese Waters : Can The Current National Legal Framework Tackle The Problem?, Zhou Wang

World Maritime University Dissertations

No abstract provided.

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Assessment Of Recreational Safety Protocols In Philippine Beaches And Resorts : A Coast Guard Perspective, Jazzyneth Cacnio Nov 2025

Assessment Of Recreational Safety Protocols In Philippine Beaches And Resorts : A Coast Guard Perspective, Jazzyneth Cacnio

World Maritime University Dissertations

No abstract provided.

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