Engineering Commons^™

Retraction Notice: Dynamics And Stability Analysis Of 8-Dimensional Hyperchaotic Systems: Study Of Lyapunov Exponents, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Hamad, Abdulsattar Abdullah; Ali, Nida Muhsin; and Khalil, Muayyad Mahmood (2025) ``Dynamics and Stability Analysis of 8-Dimensional Hyperchaotic Systems: Study of Lyapunov Exponents,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 18. DOI: https://doi.org/10.52866/2788-7421.1295.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/18.

Retraction Notice: Deep Learning-Based Beamforming Optimization For Reconfigurable Intelligent Surface-Assisted Wireless Communication Systems, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Jassim, Mohammed Firas; Mohammed, Alhamzah Taher; and Abdullah, Osamah (2025) ``Deep Learning-Based Beamforming Optimization for Reconfigurable Intelligent Surface-Assisted Wireless Communication Systems,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 1, Article 7. DOI: https://doi.org/10.52866/2788-7421.1233.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss1/7.

Retraction Notice: Data Envelopment Analysis Using Stochastic Frontier Analysis And Bootstrap Confidence Intervals, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Alqahtani, Fahad F. (2025) ``Data Envelopment Analysis using Stochastic Frontier Analysis and Bootstrap Confidence Intervals,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 11. DOI: https://doi.org/10.52866/2788-7421.1254.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/11.

Retraction Notice: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Sar, Ayan; Mahdi, Hussain Falih; Aich, Sumit; Singh, Pranav; and Choudhury, Tanupriya (2025) ``Comparative Study based on Continuous Analysis of Autism Spectrum Disorder Using Advanced Deep Learning with Model Interpretability Insights,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 16. DOI: https://doi.org/10.52866/2788-7421.1291.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/16.

Retraction Notice: Cipher Text To Secure Li-Fi System Using Hybrid Encryption Algorithm, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Ahmed, Mohammed M. and Alnajjar, Satea H. (2025) ``Cipher Text to Secure Li-Fi System Using Hybrid Encryption Algorithm,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 16. DOI: https://doi.org/10.52866/2788-7421.1257.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/16.

Retraction Notice: Capsule Network Model For Detecting Spoofing Attack In The Internet Of Medical Things (Iomt), Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Alsharaiah, Mohammad A.; Almaiah, Mohammed Amin; Obeidat, Mansour; and Shehab, Rami (2025) ``Capsule Network Model for Detecting Spoofing Attack in the Internet of Medical Things (IoMT),'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 35. DOI: https://doi.org/10.52866/2788-7421.1306.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/35.

Retraction Notice: Automated Diagnosis Of Orthopedic Patients With Vertebral Column Disorders Using Advanced Mathematical Modeling, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Feng, Chen; Sun, Zhenhua; Dai, Xinheng; and Wen, Hongli (2025) ``Automated Diagnosis of Orthopedic Patients with Vertebral Column Disorders Using Advanced Mathematical Modeling,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 34. DOI: https://doi.org/10.52866/2788-7421.1304.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/34.

Retraction Notice: Analysis Of Energy Sector Co2 Emanations Using Wavelet-Based Numerical Technique, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: R., Yeshwanth and S., Kumbinarasaiah (2025) ``Analysis of Energy Sector CO2 Emanations Using Wavelet-Based Numerical Technique,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 4, Article 2. DOI: https://doi.org/10.52866/2788-7421.1313.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/2.

Retraction Notice: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Alkharabsheh, Abdel Rahman A. and Momani, Lina M. (2025) ``AI-Driven Flood Prediction, Monitoring, and Warning Systems: Design, Evaluation, and Simulation,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 4, Article 8. DOI: https://doi.org/10.52866/2788-7421.1337.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/8.

Retraction Notice: Adaptive Crossover And Mutation Mechanisms For Enhanced Lpb Algorithm Performance, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Ahmed, Abbas M. and Rashid, Tarik A. (2025) ``Adaptive Crossover and Mutation Mechanisms for Enhanced LPB Algorithm Performance,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 48. DOI: https://doi.org/10.52866/2788-7421.1323.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/48.

Retraction Notice: Accurate Electrocardiogram Classification Of Heart Disease Using Deep Learning Network, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Saleh, Hadeel M.; Ahmed, Sahar Hamad; and Mahmoud, Akeel Sh. (2025) ``Accurate Electrocardiogram Classification of Heart Disease Using Deep Learning Network,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 18. DOI: https://doi.org/10.52866/2788-7421.1259.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/18.

Retraction Notice: A Review Of Breast Cancer Histological Image Classification: Challenges And Limitations, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Jassam, Israa Faisal; Mukhlif, Abdulrahman Abbas; Nafea, Ahmed Adil; Tharthar, Mustafa Adnan; and Khudhair, Ahmed Isam (2025) ``A Review of Breast Cancer Histological Image Classification: Challenges and Limitations,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 1, Article 1. DOI: https://doi.org/10.52866/2788-7421.1232.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss1/1.

Retraction Notice: A Quantum Convolutional Neural Network Approach For Early And Accurate Diagnosis Of Parkinson's Disease, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Ibrahim, Aiesha Mahmoud; Mohammed, Mazin Abed; and Al-Boridi, Omar (2025) ``A Quantum Convolutional Neural Network Approach for Early and Accurate Diagnosis of Parkinson's Disease,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 13. DOI: https://doi.org/10.52866/2788-7421.1288.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/13.

Retraction Notice: A Novel Scheme To Optimize Lsb Steganography Based On A Logistic Chaotic Map And Genetic Algorithm, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Laila, Dena Abu; obeidt, Ibrahim Moh'd; Aljaidi, Mohammad; Almaiah, Mohammed Amin; AlBourini, Muneer; Al-Na'amneh, Qais; Samara, Ghassan; Shehab, Rami; and Momani, Khaled (2025) ``A Novel Scheme to Optimize LSB Steganography Based on a Logistic Chaotic Map and Genetic Algorithm,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 24. DOI: https://doi.org/10.52866/2788-7421.1265.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/24.

Retraction Notice: A Novel Benchmarking Framework For Selecting The Best Deep Learning Model Diagnosing Covid-19 Based On New Development For Dual Mcdm Methods, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Salih, Mahmood M.; Muhsen, Yousif Raad; Ahmed, M.A.; Ismael, Reem D.; Shuwandy, Moceheb Lazam; and Al-qaysi, Z.T. (2025) ``A Novel Benchmarking Framework for Selecting the Best Deep Learning Model Diagnosing COVID-19 Based on New Development for Dual MCDM Methods,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 2. DOI: https://doi.org/10.52866/2788-7421.1276.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/2.

Retraction Notice: A Group Decision-Making For Selecting Multi-Deep Face Recognition Models, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

NOTICE OF RETRACTION FOR: Alazzawi, Abdulbasit; Yas, Qahtan M.; and Albayati, Burhan (2025) ``A Group Decision-Making for Selecting Multi-Deep Face Recognition Models,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 21. DOI: https://doi.org/10.52866/2788-7421.1262. Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/21.

Bulk Absorber Acoustic Characterization Via The Two-Cavity Impedance Tube Methoda), Anthony Ciletti, Janith Godakawela, Martha Brown, Bhisham Sharma

Michigan Tech Publications

The primary goal of this study is to investigate and refine the two-cavity impedance tube method for acoustic characterization of bulk porous materials, specifically addressing previously unexplained inaccuracies in the prediction of surface impedance and absorption coefficients. Unlike the conventional two-thickness approach, the two-cavity method requires only one sample thickness and involves conducting measurements at various air cavity depths behind the sample. The initial analyses revealed previously unidentified numerical instabilities, resulting in anomalous predictions of sound absorption at specific frequencies. Through systematic investigation and use of calculated data, the numerical origins of these anomalies are uncovered and a practical solution, …

Characterizing The Effect Of Plasticity Index On Monotonic And Cyclic Shear Behavior Of Natural Low-Plastic Silt Mixtures, Amir Barati-Nia

Dissertations and Theses

Low-plasticity silts are "transitional" soils prevalent in many seismically active regions, including the Pacific Northwest. Most research in the literature has historically focused on sand materials or clay materials, while low plastic silt does not fit either traditional "sand-like" or "clay-like" frameworks, resulting in a knowledge gap regarding this type of soil. Knowing the behavior of this type of soil is more important because it is susceptible to liquefaction or cyclic softening. Existing research on low-plastic silts is mostly based on either intact soil, where some parameters, such as the overconsolidation ratio (OCR) and plasticity index (PI), cannot be accurately …

Print, Pattern, Stick: Low–Cost Gecko–Inspired Adhesives Using Embedded Diffraction Structures, Motaz Hassan, Oluwafemi Fayomi, Ajay Mahajan, Joshua Faust

University Research

Gecko-inspired adhesives offer strong, reversible, and directionally tunable adhesion, yet fabrication methods often depend on cleanroom lithography or proprietary molds, limiting scalability and accessibility. This study presents a low-cost, modular fabrication strategy combining high-resolution digital light processing 3D printing with 1000 lines/mm optical diffraction gratings to create hierarchical elastomeric adhesives. The resulting structures feature macroscale micropillars and embedded sub-micron surface topography, enabling effective contact splitting without advanced microfabrication. Mechanical testing reveals a nonlinear increase in shear performance with contact area, with maximum shear forces exceeding 80 N at 103.2 cm2. Peel testing across varied angles and surface areas demonstrates anisotropic …

Green Technology: A Systematic Review Of Ai And Iot Solutions For A Sustainable Future, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy, Mahmoud Badawy

Mansoura Engineering Journal

Green technology offers a solution to the pressing environmental crisis. It can change the structure and generation of waste so as not to harm the earth, and people can become environmentally friendly. To address complex environmental challenges like climate change and pollution, innovative Artificial Intelligence (A.I.) and Internet of Things (IoT) solutions are essential. These technologies can help optimize resource use, reduce waste, and promote sustainable development. However, it's crucial to balance economic growth, social equity, and environmental protection when implementing green technologies. This survey paper systematically examines the landscape of Green Technology, focusing on its pivotal components: Measures of …

Challenges And Opportunities In Lentivirus Viral Vector Manufacturing For In Vivo Applications, Eduardo Barbieri, Caryn Heldt

Michigan Tech Publications

The clinical success of chimeric antigen receptor (CAR) T-cell therapies has revolutionized oncology, yet the high costs and logistical complexities of ex vivo manufacturing remain significant barriers to global patient access. In vivo cell therapy, which involves the direct injection of lentiviral vectors (LVVs) to engineer cells within the patient’s body, offers a promising, cost-effective alternative. However, transitioning from ex vivo to in vivo applications necessitates a fundamental shift in LVV biomanufacturing to ensure safety and efficacy. This paper examines the critical bottlenecks in the current LVV production landscape. In upstream processing, we explore LVV particle assembly and maturation mechanisms, …

Neurocore: A Gnn Approach To Configurable Ip Core Identification In Fpga Netlists, Dallin Dahl, Keenan Faulkner, James Usevitch, Jeffrey Goeders

Student Works

Netlist reverse engineering enables many applications, including detecting IP theft, verifying CAD tool correctness, and detecting hardware trojans. However, reconstructing high-level information and circuit structure from a flat, nameless netlist is challenging. In this work we focus on the problem of locating known IP cores in an FPGA netlist, which is especially challenging due to the prevalence of highly configurable IP cores. We present Neurocore: a graph neural network-based approach to classifying nodes in a netlist as instances of known IP cores, and present and evaluate different models for different use cases. We have created a large open-source dataset of …

Silent Sabotage: Internal State Triggered Backdoor Attacks On Llm-Powered Robotic Systems, Doniyorkhon Obidov, Shivayogi Akki, Tan Chen, Kaichen Yang

Michigan Tech Publications

The integration of Large Language Models (LLMs) into robotic control systems is enabling a new generation of autonomous agents capable of complex reasoning and planning. While this paradigm shift accelerates progress, it also introduces novel security risks that remain largely unexplored. Current research into LLM backdoors has focused on attacks triggered by external stimuli, such as specific words, visual objects, or environmental states. These attacks, while potent, overlook a more insidious class of vulnerability where the trigger is internal to the agent’s own operational logic. This paper presents the first comprehensive study of history-based backdoor attacks on LLM-powered robotic systems. …

Mycelium-Based Composites Using Minimally Processed Industrial Hemp Biomass: Impact Of Species And Feedstock Ratio On Mechanical Performance Compared To Polystyrene Packaging, Radika Bhaskar, Tanisha Rutledge, Kevin Trangone, Oneal Latimore

School of Design and Engineering Papers

Mycelium-based composites (MBCs\) are formed from lignocellulosic substrates and biopolymer matrices derived from fungal mycelium. Due to their low fossil energy demand and biodegradability, MBCs represent a versatile and sustainable material suitable for a range of applications, with increasing interest focused on packaging. Hemp fibers are an example of natural fibers with great promise as a substrate to improve the mechanical properties of MBCs. However, the separation of bast and hurd fiber requires processing and commercial-scale facilities that are logistically challenging and may be cost-prohibitive. Here, the potential for minimally processed hemp, with no separation of fibers, is evaluated for …

Cellular Therapy For The Treatment Of Ischemic Limb Disease, Akazha Nicole Green

ETDs from 2020-2029

Ischemic limb disease continues to pose major clinical challenges. The effect of this disease causes restricted blood flow, which is followed by a limited ability to regenerate in the vascular tissues. The purpose of this study is to address the current limitations in producing large-scale generation of Smooth Muscle Cells (SMCs) derived from human induced pluripotent stem cells (hiPSCs) and then assessing their potential therapeutic efficiency individually and in combination with endothelial cells (ECs) for vascular repair. A dynamic three-dimensional (3D) culture system was integrated with a two- dimensional (2D) expansion to enhance cell culture yield while maintaining contractile marker …

Patient‐Specific Computational Flow Simulation Reveals Adverse Hemodynamic Factors Associated With Occlusion Of Directional Branches After Fenestrated‐Branched Endovascular Aneurysm Repair, Kenneth Tran, Jesse Chait, Emmanuel Tenorio, Weiguang Yang, Alison Marsden, Bernardo Mendes, Jason T. Lee, Gustavo S. Oderich

Mechanical Engineering Faculty Publications

Background: Fenestrated and branched endovascular aneurysm repair can be complicated by branch vessel occlusion in the absence of structural stenosis. We hypothesized that computational flow simulation could identify adverse hemodynamic features associated with postfenestrated and branched endovascular aneurysm repair branch occlusion.

Methods: Patients undergoing 4-vessel fenestrated and branched endovascular aneurysm repair for Extent II to IV thoracoabdominal aortic aneurysms were retrospectively reviewed. Branches that occluded without identifiable kinking or stenosis on computed tomography were included, along with an equal cohort of anatomy-matched patent controls. Patient-specific pulsatile rigid-wall simulations were performed using SimVascular with individualized geometries and boundary conditions. Abnormal time-averaged …

Neuromodulation In Olfactory Networks: Inferring Circuit Motifs And Predicting Behavioral Outcomes From Neural Response Changes, Yelyzaveta Bessonova

McKelvey School of Engineering Graduate Student Theses & Dissertations

Many organisms rely on olfaction to navigate their environment in response to surrounding chemical cues. Within the olfactory system, first, external signals are transduced into neural activity patterns that drive a diverse array of behavioral responses. However, sensory processing alone does not fully account for this variability. Fluctuations in neuromodulator levels are equally critical in shaping how olfactory information is encoded and translated into behavior. The goal of this dissertation is to investigate how changes in the neurochemistry within the olfactory circuit influence neural signaling and, ultimately, behavioral responses. To achieve this, I investigated how three neuromodulators: serotonin, dopamine, and …

Construction Project Performance Research: A Bibliometric, Scientometric, And Qualitative Review (1989–2023), Abdelnaser Abdelhameed, Mohamed S. Yamany, Ahmed Abdelaty, Emad Elbeltagi

Faculty Publications

Despite the significant increase in publications on construction project performance (CPP), there is a deficiency of research that rigorously assesses and synthesizes previous studies to delineate the field’s development, themes, and research gaps. This article employs quantitative and qualitative methodologies to critically evaluate studies on CPP published over the last three decades and indexed in the Scopus database. The quantitative approach includes bibliometric searches and scientometric analyses to assess the extent of research interest and achievements. The qualitative methodology aims to conduct thorough content analysis to classify existing material based on prevalent themes. The results demonstrate an exponential growth of …

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

After A Wildfire: Considerations For Building Environmental Testing, Andrew J. Whelton, E. Bollens, C. Ferrarezzi

Resilience to Emergencies and Disasters

No abstract provided.