Digital Commons Network^™

Machine Learning-Based Prediction Of House Sale Prices In Hulu Langat, Kath Moon Yap Choo, Sew Lai Ng, Da An

Journal of Informatics and Web Engineering

House price prediction remains a complex task due to the interplay of structural, locational, and economic factors. This study proposes a machine learning-based predictive framework tailored to the residential real estate market in Hulu Langat, Malaysia, a district undergoing rapid urbanization. Using open-source datasets, three structured variations are developed: one containing only housing and locational attributes, another incorporating regional-level macroeconomic data, and a third combining both regional and national macroeconomic indicators. The proposed model (Ensemble Weighted Average) is trained and evaluated using evaluation metrics, then compared with models such as Random Forest, XGBoost, LightGBM, and Ensemble Stacking. The proposed model …

Design Of A Cnn–Nlp Based Visual Chatbot For E-Commerce Systems, Sidra Kubra, Salma Jahan Nisha, Nbhan D. Salih, Amalina Ibrahim, Wan Noorshahida Mohd Isa

Journal of Informatics and Web Engineering

E-commerce platforms have limitations to assist interactive and highly personalized experiences using conventional text or voice-based chatbots, particularly in context-aware areas where product discovery and visual identification are necessary. Hence, we propose to integrate an image as a visual-based chatbot. We present a conceptual framework that combines Convolutional Neural Networks (CNN) for image recognition with Natural Language Processing (NLP) for dynamic, context-aware search in a chatbot. The CNN model enables the recognition of products from user-uploaded images, while the NLP component processes and generates appropriate responses to enhance the shopping experience by providing suggestions. This hybrid system will be developed …

Ai-Powered Threat Hunting For Email Phishing Attack Detection Using Natural Language Processing (Nlp), Mohd Azriy Akmalhazim Mohd Nazariee, S Prabha Kumaresan, Alaa Haddad, Mohamed Uvaze Ahamed Ayoobkhan

Journal of Informatics and Web Engineering

Phishing attacks remain as a significant cybersecurity threat, aiming to steal sensitive information by exploiting human vulnerability. Traditional phishing email detection often struggles to keep up with the latest attack strategies developed by the attackers which results in high false positive rates and the limited contextual understanding on the email contents. Therefore, to address these challenges, this research proposes a solution via an AI-powered threat-hunting model integrating Natural Language Processing (NLP) techniques for phishing email detection in English through the development of PhishGuard AI application. The application is developed as a web-based software solution designed to be accessible to both …

Ai-Powered Dynamic Encryption And Decryption Defense Model, Chyanne Wen Qian Lor, Ibrahim Yusof, Anang Hudaya Muhamad Amin

Journal of Informatics and Web Engineering

Static cryptographic systems that rely on fixed algorithms and predetermined keys have proven increasingly ineffective in addressing today’s adaptive and AI-powered cyber threats. This paper proposes an Artificial Intelligence (AI)-enabled dynamic encryption and decryption defence model designed to enhance cybersecurity through real-time threat classification and context-aware cryptographic response. The framework combines the Suricata intrusion detection engine with a Random Forest model developed using the CIC-IDS2017 dataset, allowing it to identify and categorize network anomalies into unified groups, including Denial-of-Service (DoS), Distributed Denial of Service (DDoS), Brute Force, and PortScan. Once threats are identified, the system dynamically selects an appropriate encryption …

Ai-Driven Intrusion Detection System For Network Security, Zhi Lin Sarah Teoh, Wee How Khoh, Hui Yen Yap, Pin Shen Teh

Journal of Informatics and Web Engineering

In the evolving landscape of cybersecurity, Intrusion Detection Systems (IDS) play a vital role in safeguarding computer networks against malicious activity. Traditional signature-based IDS approaches are increasingly ineffective in detecting novel, complex, or zero-day attacks due to their reliance on predefined rules. To overcome these limitations, this study proposes an AI-driven IDS that integrates both classical machine learning and modern deep learning techniques. The framework introduces and compares three models such as Support Vector Machine (SVM), Convolutional Neural Network (CNN), and a hybrid CNN-SVM model. The system is designed to analyze network traffic patterns and classify them as either benign …

Deep Learning Model For Burn Injury Assessment With Enhanced Diagnosis Rate, C. Pabitha, K. Revathi, R. Krishna Priya

Journal of Informatics and Web Engineering

The skin is considered as the largest organ of our body specifically satisfies the environment. As a result, the skin is vulnerable to various injuries, especially burns. Burns are linked to high rates of morbidity and mortality and can be fatal. Effective diagnosis supported by precise evaluation of the burn area and the depth of wound is critical for enabling efficacy in clinical settings. The characteristics of a burn wound on the skin include: the wound is abnormal, the skin is infected, there is discomfort, the skin is tight, and there are raised areas of skin. To properly diagnose burn …

Performance Analysis Of Faster R-Cnn And Yolov8 Model For Mango Fruits Detection, Mohd Haris Lye, Marawan Ashraf Eldeib

Journal of Informatics and Web Engineering

Mango cultivation is a vital agricultural sector in many regions, providing significant economic benefits and contributing to environmental sustainability. Traditional mango detection and harvesting methods are prone to error and are labour-intensive. Recent advances in aerial imagery and Artificial Intelligence (AI) offer innovative solutions to these challenges. An automated yield estimation and fruit harvesting system will require an accurate fruit object detection model. This study explores the application of deep learning models for mango detection on two diverse datasets. This research focuses on evaluating two primary deep learning models: Faster Region-based Convolutional Neural Network (Faster R-CNN) and You Only Look …

A Review Of Cyber-Attacks On Web Applications And Their Countermeasures, Salaheddin Beskri, Kok Why Ng

Journal of Informatics and Web Engineering

Leaders have always wondered where and how precisely Information Technology (IT) can be of value in their organizations. However, the pacing rate of technology development and cutting-edge features that technologies can provide can cause the decision-maker of an organization to rush to invest in technology upgrades without taking risks into account. The risks that may cost the existence of organizations can be caused by an adversary who commits a cyberattack against the IT assets of an organization, seizing leaders' underestimations of the risks of IT upgrades. Inevitably, there will always be new vulnerabilities in IT assets, especially in information systems. …

Multi-Agent Ai Systems For Detecting Emerging Therapeutic Targets And Intervention Patterns In Neuroplasticity Research, Raza Hasan, Salman Mahmood

Journal of Informatics and Web Engineering

The exponential growth of neuroplasticity research presents profound challenges to the manual synthesis of literature, hindering the identification of emerging therapeutic targets and intervention patterns. While multi-agent Artificial Intelligence (AI) systems have been proposed conceptually to address this, concrete implementations demonstrating end-to-end utility are scarce. This paper details the successful implementation and application of a novel four-agent AI system designed to automate the discovery, extraction, analysis, and validation of patterns in neuroplasticity literature. Our platform consists of four parts: a Literature Discovery Agent (LDA) for corpus gathering, a Concept Extraction Agent (CEA) with a multi-level NLP strategy fallback mechanism for …

Synthetic Data Generation For Healthcare And Wellness: Methods, Applications, And Future Directions, Sellappan Palaniappan, Kasthuri Subaramaniam, Oras Baker, Bui Ngoc Dung, Sumit Dhariwal

Journal of Informatics and Web Engineering

Artificial intelligence in healthcare relies heavily upon the availability of high-quality datasets, but very rigid privacy regimes, institutional silos, ethical issues, and heterogeneous data still serve to limit the availability of real-world clinical data. To combat these limitations, you focus on synthetic data generation as a privacy-preserving and scalable alternative to traditional data generation for healthcare and wellness studies. More relevant is a work on a broad and clear framework of synthesis methods based on statistical modelling, rule-based generation and domain-specific clinical logic, in contrast to recent studies that mainly target sophisticated methods for the deep learning architectures. The paper …

Ai-Powered Continuous Health Monitoring For Chronic Disease Management In Malaysia: Real-Time Risk Prediction Using Wearable Sensors And Digital Biomarkers, Umi Najiah Ahmad Razimi, Yong Yoke Leng, Nor Hapiza Mohd Ariffin, Mohammed Hazim Alkawaz

Journal of Informatics and Web Engineering

Chronic Non-Communicable Diseases (NCDs), such as diabetes mellitus, hypertension, and cardiovascular disease, make up a significant portion of the mortality cases in Malaysia, as well as impose consistent demands for costs related to health care expenditure. According to the cost reports at the national level, major NCDs (cardiovascular disease, diabetes, and cancer) are responsible for RM 9.65 billion annually as direct healthcare cost [3]. However, the current approach to managing chronic diseases focuses heavily on periodic assessments in clinic setting at weekly or monthly intervals. Here, a predictive analysis framework based on AI technology, leveraging continuous monitoring with patient data …

Intelligent Telemedicine Systems For Contactless Heart Rate Estimation Using Deep Learning-Based Rppg, Do Duc Thinh, Nguyen Duc Manh, Nguyen Thi Bich Ngoc, Vu Van Huan

Journal of Informatics and Web Engineering

Over the last ten years, telemedicine has undergone significant developments, from simple communication-based healthcare to smart and data-driven solutions. The solutions are now powered by Artificial Intelligence (AI), Machine Learning (ML), and Internet of Medical Things (IoMT) technologies. Physiological monitoring is traditionally done with contact-based sensors. The sensors include Electrocardiogram (ECG) and pulse oximeters. The sensors have various disadvantages, including hardware costs, difficulty in continuous usage, and discomfort for patients. Photoplethysmography (rPPG), a remote method of physiological monitoring, is a breakthrough technology. The method is used to estimate physiological signals, including Heart Rate (HR), from video streams captured by standard …

Users’ Searching Preferences In Accessing The E-Library Resources Of The Federal University Of Lafia, Nigeria, Alice Olije Odu, Samuel Otsonu Aboh, Olumide Johnson Akanmidu, Grace Sewuese Ape

Library Philosophy and Practice (e-journal)

Online information activities in the academic environment keeps getting better and easier thanks to the internet that forms part of regular source of connection between users and other information resources. Access to e- library resources are normally via computers and mobile technologies using local network or the internet connection. This makes searching from e-library resource more appealing to academic library users. However, libraries still experiencing low users’ patronage with the e-resource collection, hence this study is undertaken to ascertain the searching preference by the Students of the Federal University of Lafia to help devise better ways of meeting their information …

A Poet Bears Witness: An Interview With M. L. Williams On The Function Of Literary Studies In Troubled Times, Leah Toth, M. L. Williams

Critical Humanities

Dr. M. L. (Marty) Williams is a poet and professor of literature at Valdosta State University, a comprehensive university in south-central Georgia. He is the author of Game (What Books Press 2021), Other Medicines (Redbone Chapbooks 2008) and co-editor of How Much Earth: The Fresno Poets (Roundhouse Press 2001). The focus of the interview that follows is the future of literary studies in the modern neo-liberal university, a daunting topic in 2026, in the face of what many administrators refer to as the "right-sizing" of literature programs nationwide in both the U.S. and the U.K. Anybody paying attention to the …

An Interview With Mohammed Bennis, Mohammed Bennis, Amine Oudghiri-Otmani

Critical Humanities

An Interview with Mohammed Bennis

Submitted: April 4, 2026

Accepted: May 24, 2026

The Possibility Of Post Binary Reflexivity: A Genealogy Of Binary Logic In Western Philosophy, Vaughan A. Bidois

Critical Humanities

This article traces a genealogy of binary logic within Western philosophy, from its origins in Platonic metaphysics through to its deconstruction in poststructuralist theory. Drawing on the genealogical methods of Friedrich Nietzsche and Michel Foucault, it critiques how oppositional structures, such as mind/body, reason/emotion, and truth/error, have persisted through shifting intellectual paradigms while shaping knowledge, power, and subjectivity. Structuralist and linguistic theories are examined for their role in reinforcing binary meaning-making, while poststructural critiques (notably Derrida and Foucault) are explored for their attempts to subvert such hierarchies. However, the article argues that these critiques remain paradoxically ensnared within the same …

Human Wisdom And Artificial Intelligence: Role Of Liberal Arts Education In A Neoliberal World, Purna Chandra Bhusal

Critical Humanities

Neoliberalism is an economic and political ideology that originated in the 1930s and 40s, gained momentum in the late 70s and 80s, and peaked in the 90s and 2000s. Since its inception, neoliberalism has promoted a free-market economy with minimal state intervention, granting individuals the freedom to compete and succeed. Since the last quarter of the twentieth century, the neoliberal system has invested in, incorporated, and promoted Artificial Intelligence (AI), valuing an AI-enhanced corporate ethos. As a result, the success of higher education is generally measured by the quantity of technologically sound, market-ready, AI-trained human capital it produces for industry. …

Why Literature Matters: Perpetrator Portrayal, Cultural Imaginaire And Poetry Of The Taliban, Inayat Ullah

Critical Humanities

The question of how perpetrators of violence are identified, represented and understood has become a central concern of Perpetrator Studies, an interdisciplinary field that emerged in the early twenty-first century. This article analyzes The Poetry of the Taliban in a bid to examine how the selected poems construct and negotiate multiple figurations of the perpetrator rather than presenting it as a singular or fixed category. While the poems frequently identify perpetrator through recognizable political, military and ideological structures, they also reveal the complexities involved in reducing the perpetrator to a clearly identifiable form or kind. In exploring these tensions, the …

Literature Carries Philosophy’S Open Secret: On Derrida’S Reading Of Romeo And Juliet, Rajesh Sampath

Critical Humanities

This paper attempts a close reading of Derrida’s texts, particularly with a focus on his brief but significant reading of Shakespeare’s The Tragedy of Romeo and Juliet in “Aphorism Countertime” (originally published in French in 1986). We compare this short work with his more sustained engagement with the philosophy of death in Aporias (1993), which itself is an attempted critique of Heidegger’s Being and Time (1927); the latter is, arguably, the most influential work of twentieth-century continental European philosophy, particularly on issues of time, death, and authentic life. The paper tries to show that a fruitful engagement between philosophy and …

Healthcare Experiences And Needs Of Patients With Pregnancy Of Unknown Location: A Qualitative Study, Kavita Vinekar, Zahava Shimshi, Amanda Doty, Samantha Kolowrat, Rebecca Mercier, Agatha Berger, Kristin L. Rising

Jefferson Center for Connected Care Faculty Papers

BACKGROUND: Patients presenting with bleeding or pelvic pain in early pregnancy are commonly found to have pregnancies of unknown location (PUL), with no sonographic findings of intrauterine nor ectopic pregnancy. We aimed to explore healthcare experiences and needs of patients presenting with PUL.

METHODS: This was a qualitative study using semi-structured interviews to explore healthcare experiences among patients with PUL. Patients were eligible if they presented with bleeding or abdominopelvic pain to the OB/GYN office or emergency department and were found to have a PUL followed in an electronic health record tracking list; had an initial human chorionic gonadotropin (hCG) …

Reclaiming Narrative Authority: Gendered Violence And Feminist Reauthorship In Sharon Pollock's Saucy Jack, Jennifer Jones Cavenaugh

Theatre and Dance Faculty Publications

This article examines Sharon Pollock’s Saucy Jack (1994) as a feminist intervention into the narrative structures that have sustained the cultural authority of Jack the Ripper mythology. Drawing on feminist historiography, particularly Judith Walkowitz’s analysis of male violence as narrative structure and Hallie Rubenhold’s reclamation of the murdered women’s lived histories, the essay argues that Ripper narratives depend on three interlocking conventions: killer-centered focalization, the erasure of women’s lives, and the aestheticization of death as spectacle. Through close performance analysis, the article shows how Pollock dismantles these conventions by centering Kate, a music hall actress whose reenactments transform performance into …

Mothers’ Childhood Maltreatment And Developmentally Appropriate Attributions Of 12-Month-Old Infants, Katelyn M. Lamberton

Undergraduate Theses, Capstones, and Recitals

This study examined associations between developmentally appropriate attributions (DAAs), an understudied construct, with maternal history of childhood maltreatment and maternal reflective functioning (RF) with their 12-month-old infants. The study examined if 1) DAAs at 12 months were concurrently associated with parental RF at 12 months for construct validity, and 2) higher levels of maternal childhood maltreatment were associated with lower DAAs for predictive validity. Participants were 156 mothers (40.0% White, 25.5% Latinx, 14.9% Black, 5.5% Asian, 2.1% Native-American, 12.0% biracial/multiracial) and their 12- to 15-month infants. Childhood maltreatment and RF were assessed by parental self-report at three-months and 12-months postpartum …

The Contentious Politics Of Abortion: Understanding The Black Protests And Women’S Strikes In Poland, Taubie Sanders

Undergraduate Theses, Capstones, and Recitals

In 1993, the Polish Parliament, the Sejm, passed a law called ‘The Abortion Compromise’ permitting abortion only in cases when there is a serious threat to the life or health of the woman, pregnancy is the result of a crime, or prenatal tests show the fetus to be severely or incurably damaged. The current abortion laws in Poland are the most restrictive in all of Europe. Poland’s abortion laws have undergone much contestation in recent years. In 2016, the Black Protests erupted across the country in opposition to a proposed total ban on abortion. In 2020, the Women’s Strikes commenced …

Rapid-Prototyping Nanofabrication: Lcd-Based Projection Lithography And Physical Vapor Deposition, Sabeel Saleem Mohammmed

University Honors Theses

The semiconductor industry's continued growth, driven in large part by demand for artificial intelligence hardware, has highlighted the need for greater workforce development in regions adjacent to major fabrication centers like Oregon's Silicon Forest. This capstone project lays the groundwork for a small scale and student led semiconductor fabrication lab at Portland State University by demonstrating two of the core steps in chip manufacturing: photolithography and thin film deposition. Rather than relying on conventional fixed reticles, this work explores a unique, low cost approach to patterning that uses an ultraviolet-compatible liquid crystal display (LCD) as a programmable reticle, allowing arbitrary …

The Role Of Urban Forests In Mitigating Flooding Effects: A Case Study In Savannah, Georgia, Gillian Bush

Undergraduate Theses, Capstones, and Recitals

Flooding in coastal communities is shaped by the interaction between natural systems and urban development. Chatham County, a low-elevation region in the Savannah, Georgia metropolitan area along the eastern coast of the United States, is prone to coastal storms and frequently affected by flooding. It serves as a useful case study to better understand the factors behind flooding and the areas that are most at risk. This study uses GIS-based analysis to examine the overlap between flood risk, urban forest cover, and impervious surfaces. The results indicate elevated vulnerability along major transportation corridors and barrier islands, where high-risk flood zones …

A Point-Of-Care Hormone Monitoring Platform For Postpartum Health Assessment, Ava Mcdonald, Avary Torres, Frances Warneke

Bioengineering Senior Theses

Our point-of-care hormone monitoring device for postpartum health assessment uses paper-based microfluidics to provide an accessible and affordable hormone monitoring tool, tracking biomarkers correlated with postpartum depression (PPD). The device features a 3D-printed spring-box housing and platform containing chromatography paper testing sheets that are lined with polydimethulsiloxane (PDMS) and wax paper, embedded with specific reagents that generate colorimetric hormone readouts from saliva samples. This device was motivated by the need to address critical shortcomings in PPD care, where societal stigma surrounding mental health and reliance on self-reporting diagnostic methods prevent mothers from truthfully reporting symptoms and receiving timely support and …

Trans And Gender Diverse Experiences With Healthcare Professionals, Victor N. Soto

University Honors Theses

There is a history of state powers working against the interest of Transgender and Gender Diverse (TGD) people, but since the second Trump election attacks on TGD have reached a new precedent; this suggests the state is engaging in necropolitical actions to gain and maintain power. To better understand how the current climate is impacting TGD people, and add to discussions about TGD-centered healthcare research, this thesis interviewed 15 TGD students from the Portland metro area about their experiences with healthcare providers. All fifteen of the interviews were transcribed and coded. Four primary themes were found: 1) bad provider experience; …

Esophageal Innominate Artery Fistula After Delayed Recognition Of Esophageal Foreign Body., Arianne J Abreu, Rahul Sinha, Robert T Sataloff

Otolaryngology (ENT) Resident Research

Esophageal innominate artery fistula (EIF) is a rare cause of life-threatening gastrointestinal hemorrhage. This condition occurs most often secondary to an aneurysm, tumor, or esophageal foreign body. After stabilization of airway and circulation, the management options vary from open to endoscopic and endovascular repair. The initial presentation, diagnosis and management of EIF in the literature focuses on adults primarily. In this case report, the clinical presentation of EIF in a pediatric patient, secondary to delayed recognition of a foreign body, highlights management considerations in this population.

Digital Bodily Autonomy: Consent Issues, Labor Displacement, And Legal Understandings Of Ai Generated Deepfake Pornography, Mariah Barrett

Undergraduate Theses, Capstones, and Recitals

In the United States, nonconsensual pornographic deepfakes are becoming an increasingly prevalent problem as AI deepfake creation software improves and becomes widely available. Despite this, patchwork legislation across the country is inconsistent and conflicting regarding this issue. In this paper, I explore the background of pornography and obscenity laws and demonstrate how these frameworks are not properly constructed to apply to the digital sphere. Then, I address major themes within deepfake literature such as consent issues, bodily autonomy, labor displacement, and verifiable identity as a commodity through the case study of OnlyFans. I explore current and proposed legislation within the …

“Three In A Jeep”: Exploring The Conditions For Successful Peacekeeping Through United Nations Special Political Missions, Audrey Duff

Undergraduate Theses, Capstones, and Recitals

This thesis examines a specific type of United Nations peacekeeping operation, referred to as Special Political Missions (SPMs) and their progress in transitions from war to peace. While traditional peacekeeping has made advances in separating conflict and human rights development, SPMs provide concentrated specialization in areas, including electoral support, government mediation, and disarmament. Through a structured focus comparison of three unique SPM case studies, this research explores what key dimensions are involved in successful Special Political Missions. By comparing the United Nations Mission in Nepal, United Nations Mission in Colombia, and United Nations Observer Mission in Bougainville, this thesis intends …