Digital Commons Network^™

Securing The Internet Of Wetland Things (Iowt) Using Machine And Deep Learning Methods: A Survey, Guma Ali, Wamusi Robert, Maad M. Mijwil, Malik Sallam, Jenan Ayad

Mesopotamian Journal of Computer Science

Wetlands are essential ecosystems that provide ecological, hydrological, and economic benefits. However, human activities and climate change are degrading their health and jeopardizing their long-term sustainability. To address these challenges, the Internet of Wetland Things (IoWT) has emerged as an innovative framework integrating advanced sensing, data collection, and communication technologies to monitor and manage wetland ecosystems. Despite its potential, the IoWT faces substantial security and privacy risks, compromising its effectiveness and hindering adoption. This survey explores integrating machine learning (ML) and deep learning (DL) techniques as solutions to address the security threats, vulnerabilities, and challenges inherent in IoWT ecosystems. The …

Anila: Adaptive Neuro-Inspired Learning Algorithm For Efficient Machine Learning, Ai Optimization, And Healthcare Enhancement, Ismael Khaleel, Wijdan Noaman Marzoog, Ghada Al-Kateb

Mesopotamian Journal of Computer Science

The Adaptive Neuro-Inspired Learning Algorithm (ANILA) offers a breakthrough in the realm of machine learning by drawing inspiration from the biological processes of the human brain. Developed to address limitations in conventional models such as CNNs and RNNs, ANILA enhances real-time responsiveness, energy efficiency, and system adaptability. By emulating neurobiological behaviors particularly sparse coding and synaptic plasticity ANILA allows systems to process data dynamically, adjust to novel inputs without retraining, and scale effectively across environments like IoT and healthcare diagnostics. Performance evaluations highlight significant reductions in latency, increases in energy efficiency (up to 92%), and exceptional adaptability to changing data …

Enhancing Cybersecurity In Smart Education With Deep Learning And Computer Vision: A Survey, Guma Ali, Aziku Samuel, Maad M. Mijwil, Kholoud Al-Mahzoum, Malik Sallam, Ioannis Adamopoulos, Ayodeji Olalekan Salau, Indu Bala, Klodian Dhoska, Engin Melekoglu

Mesopotamian Journal of Computer Science

The rapid digital transformation of education, driven by the widespread adoption of smart devices and online platforms, has ushered in the era of smart education. While this shift enhances learning experiences, it also introduces significant cybersecurity risks that threaten the confidentiality, integrity, and availability of educational resources, student data, and institutional systems. This survey examines how deep learning (DL) and computer vision (CV) techniques can enhance cybersecurity in smart education environments. By reviewing 202 peer-reviewed research papers published between January 2022 and June 2025 across leading publishers such as ACM Digital Library, Frontiers, Wiley Online Library, IGI Global, Nature, Springer, …

Real-Time Sdn–Iot Integrated Framework For Intelligent Emergency Vehicle Prioritization In Smart Cities, Sura F. Ismail

Mesopotamian Journal of Computer Science

Urban traffic control has become increasingly complex with rising vehicle density, particularly in smart cities. Timely arrival of emergency vehicles is critical, yet existing systems relying on manual transmitters and sirens offer limited range and effectiveness. This paper proposes a real-time intelligent traffic management framework integrating Software-Defined Networking (SDN), Internet of Things (IoT) technologies, and the Edge of Things (EoT)—a paradigm combining edge computing with IoT to enable low-latency processing at the network edge. The framework connects the SUMO traffic simulator and Veins vehicular network framework via TraCI, with the RYU SDN controller dynamically adjusting traffic signals and vehicle routes …

Towards Achieving The Un Sustainable Development Goals: The Role Of Ai In Municipality Services, Thabit Sultan Mohammed, Karim Mohammed Aljebory, Ahmed Thabit Sultan

Mesopotamian Journal of Computer Science

In 2015, the United Nations adopted the Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure global peace and prosperity by 2030. However, progress has been hindered by challenges like the COVID-19 pandemic, climate change, funding shortages, political instability, and data limitations. Municipal services, crucial to achieving the SDGs, provide essential functions like waste management, healthcare, and public safety. Artificial Intelligence (AI) offers innovative solutions to enhance these services, improving urban sustainability and fostering public-private collaboration. This research examines AI's role in municipal services, analyzing its applications, benefits, challenges, and future potential through case studies and expert …

Enhanced Iot Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection And Adaptive Smote, Sura Abed Sarab Hussien, Mustafa S. Ibrahim Alsumaidaie, Nada Hussein M. Ali

Mesopotamian Journal of Computer Science

The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats.  This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrate that GWO reduces features from 32 …

Dgen: A Dynamic Generative Encryption Network For Adaptive And Secure Image Processing, Mohammed Rajih Jassim, Qusay M. Salih, Ghada Al-Kateb

Mesopotamian Journal of Computer Science

Cyber-attacks keep growing. Because of that, we need stronger ways to protect pictures. This paper talks about DGEN, a Dynamic Generative Encryption Network. It mixes Generative Adversarial Networks with a key system that can change with context. The method may potentially mean it can adjust itself when new threats appear, instead of a fixed lock like AES. It tries to block brute‑force, statistical tricks, or quantum attacks. The design adds randomness, uses learning, and makes keys that depend on each image. That should give very good security, some flexibility, and keep compute cost low. Tests still ran on several public …

Lightweight Deep Reinforcement Learning Model For Energy-Efficient Resource Allocation In Edge Computing, Ghassan A. Abed, Mohanad A. Al-Askari

Mesopotamian Journal of Computer Science

A lightweight digital twin model for a single 6G cell operating in the D-band (140 GHz) with a 1 GHz bandwidth is presented in this work with the goal of assessing the cell's capacity, coverage, and terminal time in order to support extended reality (XR) applications. With a tangent dispersion of 3 dB and a path exponent of n = 2.2, the model is based on the free-space loss equation as per ITU-R Recommendation P.525. The instantaneous capacity is determined using the Shannon-Hartley theorem. Three XR sessions are created every minute using a Poisson method, and their durations are determined …

Agentic Ai-Enhanced Virtual Reality For Adaptive Immersive Learning Environments, Indra Kishor, Udit Mamodiya, Mohammed Almaayah, Amer Alqutaish, Rami Shehab, Theyazn H. H. Aldhyani

Mesopotamian Journal of Computer Science

Immersive learning using Virtual Reality (VR) has gained prominence for delivering experiential, engaging education. However, most VR learning environments lack real-time adaptability, personalization, and cognitive responsiveness. This study presents an Agentic AI-enabled VR framework that autonomously adjusts pedagogical content, interaction style, and challenge level based on learner behavior, emotions, and performance feedback. The proposed system integrates a reinforcement learning-based agent with a virtual reality module to form an intelligent tutor capable of independent decision-making. A neuro-symbolic model processes multi-modal feedback (gesture, speech, gaze, performance) to determine context-aware pedagogical strategies. The system employs a self-evolving curriculum logic that adapts in real …

Characterization Of The Biofilm-Forming Ability And Certain Virulence Characters Ofaeromonas Spp. Isolates From Rainbow Trout, Türker Çelebi̇, Ertan Emek Onuk, Esra Demi̇rbaş, Gökçen Di̇nç

Turkish Journal of Veterinary & Animal Sciences

Aeromonas spp., commonly found in the aquatic environment, cause infections in both fish and humans. Their pathogenicitydepends on various virulence factors and ability to form biofilm. The current study aimed to determine the biofilm-forming capabilitiesand certain virulence characteristics of 25 Aeromonas spp. isolates obtained from rainbow trout in Türkiye. The biofilm-forming abilitiesof isolates were investigated comparatively using Congo red agar (CRA), the tube method (TM), and tissue culture plates (TCPs).Potential virulence factors, including hemolytic activity, gelatinase production, serine protease activity, DNase activity, and motility,were evaluated using phenotypic tests. Additionally, the distribution of four known virulence genes, namely aerA, exu, fla, …

A Guide To Urban Planning And Environmentalism, Michael Lewyn

Scholarly Works

Review of The Sustainable Urban Design Handbook, by Nico Larco, Kaarin Knudson.

A Battle Of The Chatbots: An Exploratory Comparison Of Chatgpt, Gemini, Copilot, Claude, Perplexity And Huggingchat, Karen Okamoto

Publications and Research

This exploratory study compares the output of the free versions of six generative artificial intelligence (AI) chatbots—ChatGPT, Gemini, Copilot, Claude, Perplexity and HuggingChat. Five questions were submitted to all of the chatbots and examined according to the length of the response, tone of the response, and any additional features provided by the chatbots such as citations, web links, and helpful follow-up questions. This comparison found that Perplexity excelled at responding to all of the questions though others provided strong outputs as well, pointing to the possible importance of using multiple chatbot for answers and for continually examining different chatbots given …

The Towering Inferno: Art, Policy, And Legacy, Charles R. Jennings

Publications and Research

The Christian Regenhard Center for Emergency Response Studies, leveraging the expertise of its faculty, staff, Advisory Board and colleagues, has consistently programmed activities focused on high-rise fire safety. The upcoming 50^th anniversary of the film The Towering Inferno was an inspiration.

We decided this would be more lighthearted and less purely technical than many of our events. We wanted to consider both the film, and use it to reflect on the state of fire safety in tall buildings in New York City.

Of course it does not escape us that the topic of fire safety is a serious one, …

Scitopic: Enhancing Topic Discovery In Scientific Literature Through Advanced Llm, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou

Computer Science Faculty Publications and Presentations

Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scientific information retrieval. Many machine learning methods, particularly deep embedding techniques, have been applied to discover research topics. However, most existing topic discovery methods rely on word embedding to capture the semantics and lack a comprehensive understanding of scientific publications, struggling with complex, high-dimensional text relationships. Inspired by the exceptional comprehension of textual information by large language models (LLMs), we propose an advanced topic discovery method enhanced by LLMs to improve scientific topic identification, namely SciTopic. Specifically, we …

The Judgment, James M. Taylor

Heritage Material

No abstract provided.

2025 Curacao's Tourism Evolution: Advancing Value And Impact, Manuel A. Rivera, Margaret Zorrilla, Andreina Gonzalez

Hospitality+™ Center for Innovation and Training

This report presents a comprehensive analysis of Curaçao’s tourism performance in 2025, integrating arrival data, visitor characteristics, and economic impact to provide a clear and unified view of the destination’s tourism system. Drawing on official arrival statistics and visitor survey data, the analysis examines not only the scale of tourism activity, but also the value generated across markets and visitor segments.

Authoring While Dead, Mark A. Lemley, Oliver W. Holmes Jr.

Georgia Law Review

Bob Marley died in 1981. But he wrote a song in 2017 with The Killers. At least, that’s what the song credits say. Why? Because The Killers’ song included the two words “redemption song,” the title of a classic Bob Marley hit. Rather than fight, The Killers agreed to add Marley as a co-author.

There is an increasing trend in the music industry toward resolving disputes over music copyright by granting co-authorship (or “interpolation”) credit to the claimant, no matter how weak the claim (as in Marley’s case), and even if they are dead (as in Marley’s case again). Bob …

Public Constitutional Ai, Gilad Abiri

Georgia Law Review

We are increasingly subjected to the power of AI authorities. Machine learning models now underpin algorithmic markets, determine whose speech is amplified or restricted, shape government decisions ranging from resource allocation to predictive policing, and influence our access to information on critical issues such as voting and public health. As AI decisions become inescapable, entering domains such as healthcare, education, and law, we must confront a vital question: How can we ensure that AI systems, which increasingly regulate our lives and make decisions that shape our societies, have the authority and legitimacy necessary for effective governance?

To secure AI legitimacy, …

Federalizing Ncii Regulation: The Take It Down Act’S Approach To Criminalization, Platform Liability, And Threats To Disseminate, Trudi K. Sundberg

Georgia Law Review

For years, legal scholars, advocates, and victims have pushed for the federal criminalization of the nonconsensual publication of intimate imagery. Until now, regulation has been inconsistent across jurisdictions, often leaving victims without meaningful remedies or mechanisms for image removal.

The recent passage of the Take It Down Act has finally realized the goal of federal criminalization of nonconsensual intimate image distribution, including that of artificially generated images. The Act further initiates a framework for victim-led takedown procedures and engages with § 230 liability. Additionally, the Act addresses threats to disseminate such content, which is crucial to curb the spread of …

Efficacy Of Pharmacotherapy Vs Psychotherapy For Insomnia: A Clinical Review, Logan Lovell

The PA Department Journal of Medical Science

Introduction: Insomnia is a widespread sleep disorder with significant impacts on public health, economics, and vulnerable populations including the elderly and those with chronic health conditions. This review examines current literature comparing pharmacologic and non-pharmacologic treatments for insomnia.

Methods: A comprehensive literature search was conducted via PubMed using the keywords “insomnia,” “cognitive behavioral therapy,” and “pharmacotherapeutics” which was refined using MeSH terms, Boolean operators, and specific parameters (English, free full-text, published between 2019 and 2024). Six articles were selected for an in-depth review of pharmacotherapeutic and psychotherapeutic treatments for insomnia.

Results: The selected articles from the PubMed search were …

Refining Population-Level Measures Of Early Childhood Vaccination Coverage Using National Immunization Survey-Child Data, Alexandria Nicole Albers

Graduate Student Theses, Dissertations, & Professional Papers

Background: From 2011-2021, the U.S. Advisory Committee on Immunization Practices (ACIP) recommended 10 vaccine series by age 24 months, with guidelines for minimum vaccination age, maximum age for rotavirus vaccination, minimum dose intervals, and a catch-up schedule for delayed series initiation. National vaccination surveillance evaluates series completion based on whether children received the recommended number of doses, including a combined 7-vaccine metric (completed seven series collectively). However, this approach overlooks: 1) vaccinations given too early, too late, or too close together, 2) catch-up schedule vaccinations, and 3) completion of all 10 recommended vaccines.

Purpose: To refine national childhood vaccination coverage …

Binoculars To Bytes: Development And Field Validation Of An Ai-Driven System For Avian Monitoring, Christian J. Dupree

Graduate Student Theses, Dissertations, & Professional Papers

Autonomous camera-trap arrays coupled with artificial-intelligence (AI) vision can lift bird monitoring beyond the spatial, temporal, and labor limits of traditional field surveys. We present Binoculars to Bytes (B2B), an open-source pipeline that turns 180–360° time-lapse imagery into analysis-ready avian data. At Freezout Lake Wildlife Management Area (Montana, USA) the system ran four-hour morning deployments during spring and fall migrations (2023–2024). A YOLO-NAS detector, incrementally refined with a “Specialized Localized Iterative Model” workflow, quadrupled local accuracy and, after confidence-based species-binning, cut false-positive rates in half. Daily AI species lists were benchmarked against contemporaneous eBird citizen-science checklists and recovered ≥ …

Taking God's Country: The University Of Montana, Morton J. Elrod, And Allotment On The Flathead Reservation, Dylan Tate Yonce

Graduate Student Theses, Dissertations, & Professional Papers

In the early decades of the twentieth century, the University of Montana (UM) developed from a small frontier college into an influential research institution. During its maturation process, the University relied on the acquisition of land to expand. In addition to its main campus in Missoula, the university sought land for research and recreation. When Congress passed the Flathead Allotment Act (1904), UM became one of many non-Native beneficiaries of federal land dispossession policy in the United States. Existing scholarship has largely homed in on “land grant” universities established through the Morrill Act (1862), which effectively dispossessed ten million acres …

An Interdisciplinary Unit For Today's Learners: Integrating Science, English, And Art To Teach Climate Change, Sydney M. Ruby-Pasternak

Graduate Student Theses, Dissertations, & Professional Papers

As today’s global challenges grow increasingly complex, interdisciplinary thinking is essential for students to make meaningful connections in their learning. Despite this need, high school students continue to have educational experiences in one-subject classrooms, often preventing them from engaging in integrated learning models. This professional project addresses the gap by developing a five-week interdisciplinary unit titled Brushstrokes of Change, which combines climate science with English language arts and visual arts to amplify student understanding of climate change concepts. This unit was designed for grades 9-12 and prioritizes 21^st-Century skills in critical thinking, communication, creativity, and collaboration through …

Eros And The Sublime: Tools For Reaching Toward An Altered Ecological Consciousness, Aineka Carlson

Graduate Student Theses, Dissertations, & Professional Papers

This thesis explores connections between the Kantian sublime and Anne Carson’s ideas regarding “eros.” Since Kant’s Critique of Judgement was published in 1790, the Kantian sublime has grown in popularity and been utilized by theorists and creative writers alike. While the Kantian sublime is often associated with nature in popular culture, there are certain egocentric and phallocentric elements of this mode of thinking that might inhibit a biocentric mindset. Through a character study of Oryx from Margaret Atwood’s novel Oryx and Crake, this thesis draws relations between the subjugation of women, nature, and the ways in which the popularized …

Structural Optimization And Stability Enhancement Of Uba(2) And Ntl9 Using The Computational Tool: Emcast, Bahar Ghazi Esfahani

Graduate Student Theses, Dissertations, & Professional Papers

This study enhances protein stability prediction by refining EmCAST (Empirical C-Alpha Stability Tool), a computational tool used to identify stabilizing mutations in protein domains. We applied EmCAST to two model proteins: the α-helical ubiquitin-associated domain 2 (UBA(2)) and the α/β N-terminal domain of ribosomal protein L9 (NTL9). Protein stability is critical for proper function, and mutations can lead to misfolding and disease. To validate EmCAST’s predictions, guanidine hydrochloride-induced denaturation was monitored using circular dichroism (CD) spectroscopy for both wild-type and mutant variants. Results guided refinements to EmCAST’s algorithm, incorporating new experimental datasets to improve accuracy. Additionally, we examined the assumption …

Understanding The Factors That Influence University Environment: Gender Differences In Perceptions Of Female And Male Stem Graduate Students., Rachel Robinson

Graduate Student Theses, Dissertations, & Professional Papers

Despite increasing female representation in higher education, women remain underrepresented in STEM (science, technology, engineering, and mathematics) fields. This thesis investigates gendered perceptions of university environment among STEM graduate students, focusing on the role of faculty-student interaction as a form of social capital. The survey was developed and administered with Qualtrics Online Survey Software by members of the Social Science Research Group of the Pacific Northwest Circles of Success: Mentoring Opportunities in STEM. All graduate students in the participating universities pursuing master’s and doctoral degrees in a National Science Foundation STEM recognized program were eligible to complete the survey. Using …

Jurisprudence Of Problem-Solving Courts: A Study Of Structure, Success, And Sociological Theory, Lauren M. Boos

Graduate Student Theses, Dissertations, & Professional Papers

In response to the failures of mass incarceration and its disproportionate impact on marginalized communities, Problem-Solving Courts (PSCs) have emerged as alternatives to traditional prosecution. These courts employ therapeutic-informed and rehabilitative practices aimed at addressing the root causes of criminal behavior. While widely regarded as more effective than traditional courts, PSCs have developed largely without a formal theoretical foundation. This is notable given their alignment with Sociological Jurisprudence (SJ) and Therapeutic Jurisprudence (TJ), which view the legal system as a vehicle for promoting individual and community well-being.

Despite being celebrated as therapeutic innovations, PSCs often embody these principles unevenly. Using …

Modeling Neighborhoods As Fuel For Wildfire, Bryce Alan Young

Graduate Student Theses, Dissertations, & Professional Papers

Wildfire models drive billions of dollars in risk mitigation efforts. However, the modeling community currently lacks a representative fuelscape on which to base simulations of fire spread in the built environment and the wildland-urban interface (WUI) where vegetation and structures act together as fuel for wildfire. This thesis advances wildfire risk modeling by addressing the underdeveloped representation of the built environment in existing frameworks. By identifying inconsistencies in how structure and defensible space features are defined and used across empirical studies, predictive indices, and fire spread models, this research lays the groundwork for standardized modeling approaches and feature selection (Chapter …

The Relationship Between Deans’ Transformational Leadership And Teachers’ Work Engagement In Higher Education Institutions In Inner Mongolia, China, Lingbo Han

Graduate Student Theses, Dissertations, & Professional Papers

This study was designed to investigate the relationship between deans’ transformational leadership and teachers’ work engagement in Chinese higher education institutions, with a specific focus on Inner Mongolia. Against the backdrop of China’s ongoing higher education reforms and increasing emphasis on faculty development, understanding how leadership styles influence teacher motivation has become crucial for institutional advancement.

A quantitative, non-experimental causal-comparative design was employed to examine how four dimensions of transformational leadership - charisma, vision, individualized consideration, and intellectual stimulation - relate to teachers’ work engagement. Using multiple analytical approaches including correlation analysis, regression modeling, and comparative statistical tests, the study …