Digital Commons Network^™

Retracted: A Novel Benchmarking Framework For Selecting The Best Deep Learning Model Diagnosing Covid-19 Based On New Development For Dual Mcdm Methods, Mahmood M. Salih, Yousif Raad Muhsen, M.A. Ahmed, Reem D. Ismael, Moceheb Lazam Shuwandy, Z.T. Al-Qaysi

Iraqi Journal for Computer Science and Mathematics

COVID-19 was diagnosed using deep learning models by a group of studies. Evaluating and benchmarking these models are essential to achieving the most suitable model for diagnosing coronavirus. Objective: In this investigation, we offer an inclusive valuation of several deep learning models to detect the maximum appropriate and active model which gratifies doctors' requirements and assessment criteria. Method: This study combines Fuzzy decision by the opinion score method (FDOSM) and Fuzzy-Weighted Zero-Inconsistency (FWZIC). According to the advantage of Trapezoidal Intuitionistic fuzzy, we developed FWZIC into Trapezoidal Intuitionistic fuzzy named (TrIF-FWZIC) for weighting criteria and FDOSM into Trapezoidal Intuitionistic fuzzy FDOSM …

Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

Basketball players in the NBA are renowned for their talent, athleticism, and commitment to the game. NBA players may make enormous sums of money; however, they vary greatly. Rookie agreements begin at a lower price and go up following performance. NBA players’ pays are influenced by several factors. Because they influence games and the success of the club, exceptional players fetch larger compensation. This study employs Machine Learning (ML) techniques, including Lasso Regression and Random Forest Regression (RFR) models to analyze wage trends, enhanced by the Slime Mould Algorithm (SMA) and Artificial Rabbit Optimization (ARO) for accuracy. The goal is …

الأمن السيبراني والذكاء الاصطناعي: حلول لإدارة أزمات البنية التحتية الرقمية, عبدالله سعد الغامدي

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

في ظل التحول الرقمي المتسارع، أصبحت إدارة الأزمات التقنية تحديًا استراتيجيًا يستوجب تبني حلول مبتكرة للحفاظ على استمرارية الأعمال وحماية البنية التحتية الرقمية. ناقشت هذه الورقة دور الأمن السيبراني والذكاء الاصطناعي في تعزيز قدرات المنظمات والجهات على التنبؤ بالأزمات والاستجابة لها بفعالية ، وتعتمد على منهجية تحليلية تجمع بين دراسة الحالات الواقعية وتحليل البيانات باستخدام تقنيات التعلم العميق Deep Learning ونظم الأمن السيبراني المتقدمة مثل SIEM وSOAR ومدى الاستفادة من دمج هذه التقنيات لتحسين زمن الاستجابة وتقليل معدل الهجمات الناجحة، مع التدليل على أمثلة من المملكة العربية السعودية والتي سجلت أكثر من 38 مليون محاولة هجوم سيبراني في عام 2024. …

Green Energy Production Using A Hydro-Generator In An Underground Mine Water Pumping Station – Case Study, Andrzej Chmiela, Beata Barszczowska, Eugeniusz Krause, Arkadiusz Kulawik, Adam Smolinski

Journal of Sustainable Mining

The paper analyses the experience of almost one year of production of “green” electricity by a hydro-generator using a constant water drop in the pits of mine water pumping stations. The main technical, economic and environmental parameters obtained by the applied technical and organisational system are presented. Equipping the mine water pumping station with a hydro-generator proved to be a good investment. The investment offers a relatively low risk with a relatively low initial outlay and a relatively short payback period of about 4 years. The innovative use of typical but modern elements in an atypical operating environment has not …

Machine Learning Techniques For Optimizing The Efficiency And Costs Of Drill Steel In Sandstone And Granodiorite: A Case Study In Peru, Marco Cotrina, Jairo Marquina, Jose Mamani, Solio Arango, Eusebio Antonio, Eduardo Noriega, Teofilo Donaires, Dominga Cano

Journal of Sustainable Mining

This research aims to optimize the efficiency and costs of drilling steel in sandstone and granodiorite rocks using machine learning techniques in a Peruvian mine. Predictive models, including random forest (RF), XGBoost (XGB), decision trees (DT), and artificial neural networks (ANN), were applied, along with optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and simulated annealing (SA). A dataset of 705 entries was analyzed, focusing on drill bit wear, percussion and rotation pressures, and cost per meter drilled. Model performance was evaluated using R², RMSE, MAE, and MAPE. The ANN model …

Assessing The Living Conditions Of Mining-Induced Resettled Persons: The Case Of Ahafo South Resettlement Communities, Ghana, Jonathan Zinzi Ayitey, Mustapha Okyere, Frank Gyamfi-Yeboah

Journal of Sustainable Mining

This study examines the living conditions of mining-affected persons in the Ahafo South Mining Communities in Ghana using Cernea’s Impoverishment Risks and Reconstruction (IRR) model. Employing a case study design, data for the study was obtained through a combination of semi-structured interviews and close-ended questionnaires administered to ninety (90) respondents in the Ntotroso and OLA resettlement communities in the Asutifi North District, Ghana. The results show a complex mix of outcomes of mining-induced displacement and resettlement of the resettled population. While an analysis of resettlement impacts found a high level of satisfaction among the resettled population with housing provision, road …

Damage Assessment In The Case Of Post-Mining-Induced Seismicity: How To Use And Adapt Macroseismic Intensity Scales?, Johanna Vieille, Caterina Negulescu, Pierre Gehl, Pascal Dominique, Romain Guidez, Grzegorz Mutke

Journal of Sustainable Mining

Following coal mine closures, the impact of flooding on underground mining excavations and on the geomechanical stability of the rock mass has the potential to trigger superficial earthquakes. The generated vibrations may induce damages to the surface infrastructures. Therefore, they represent a significant source of concern for the population. Nowadays, seismic risk assessment procedures in Europe usually build upon the EMS-98, which has been developed for natural tectonic earthquakes. This study aims to investigate the applicability of EMS-98 to seismic events induced by post-mining context while comparing it to a new intensity scale MSIIS-22 adapted to very low intensities from …

Rockfill Trenching For Enhancing Overburden Dump Height On Weak Soil Strata, Rahul Shende, Srinivasan Venkatraman, K. Athiveera Pandian, Shubham Jain, Anjan Patel

Journal of Sustainable Mining

Dumping waste on weak soil layers can destabilize the dump, compromising its capacity for material disposal. This study focuses on the stability of dumps placed over weak black cotton (BC) soil strata in central India, with an emphasis on assessing the effectiveness of rockfill trenches (RFT) in improving dump stability. A combined approach using nine limit equilibrium methods (LEM) and the finite element method (FEM) was employed for analysis. The results demonstrate that dump stability is significantly influenced by the presence of weak strata under both dry and wet conditions when the dumping height is increased. The study also reveals …

Exploring The Interactions Between Mining And Climate Change: A Bibliometric Analysis, Artatrana Mishra, Sarat Chandra Sahu, Manish Yadav, Nitin Kumar Singh

Journal of Sustainable Mining

The increasing demand for minerals has placed huge pressure on the mining industry to increase production, which consequently affects the environment, and, thus, contributes to climate change. Coal extraction has been reported to be a major contributor to global CO₂ emissions, mainly due to the burning of fossil fuels. As a consequence, the frequency and severity of extreme climatic events have also increased throughout the world. Mining is essential for the development of society but contributes to climate change. On the contrary, extreme weather events and rising temperatures associated with climate change affect the overall productivity of mining companies. …

Evaluation Of Cyanide Removal Processes On Water Effluents From Gold Ore Processing And Industrial Scale Up, Juliana Freitas, Jorge Bellido

Journal of Sustainable Mining

Gold extraction goes through different steps, from research to physical-chemical processing, which uses chemical reagents for extraction, such as cyanide. In literature, there are presented many ways to remove cyanide from this effluent on a bench scale, although on an industry scale it is not very often analysed. In this study, seeking innovation on an industrial scale for cyanide removal from real effluent generated by gold processing was analysed through oxidation with H₂O₂ and Fenton process. It was proven that these processes can remove cyanide at the levels required for recirculation of the effluent in the process, …

Prediction Of Blast-Induced Ground Vibrations In Limestone Mine Using Multiple Linear Regression (Mlr) Analysis, Appani Ravikumar, Harsha Vardhan, K V Subrahmanyam Sarma

Journal of Sustainable Mining

Open cast mining comprises a series of activities, including rotary cum percussive drilling, blasting, loading, and dumping. The excavation of overburden (OB) and minerals is carried out by employing the blasting process. The adverse effects linked to the practice of blasting include the generation of ground vibrations, the occurrence of fly rock, and the production of air-over pressure. Among the undesirable outcomes, ground vibrations are a significant concern for mining and environmental engineers. Typically, the estimation of ground vibrations caused by blasts in open-cast mines is accomplished using conventional regression analysis techniques. The independent variable included in the regression analysis …

Cognitive Diversity, The Keystone To Effective Ptd In The Medical Research And Medical Device Industries, John Gilmartin

ASEM Capstones

2025 ASEM 620 Capstone Project

Native Plants For Green Roofs In The Midwest, Katerina Mcsweyn

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Dice Math And Probability, Warren Campbell

SEAS Faculty Publications

The manufacture of dice for tabletop games is a billion-dollar industry. In gaming circles and online forums, the concept of “cursed dice” is a popular topic. Dice are inherently unfair due to the difficulty of manufacturing them with perfect geometric tolerances and uniform material densities. A common method for testing dice fairness is the chi-square statistic, which is typically assumed to follow the chi-square distribution. However, this assumption is only asymptotically valid.

Exact distributions of the statistic can be computed for dice with few sides and a limited number of rolls—such as 2-sided (D2) and 4-sided (D4) dice—but the computational …

Understanding Risk For Industrial Emergency Response Teams, Terill A. St Martin

ASEM Capstones

2025 ASEM 620 Capstone Project

3d Solid Models, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

3D solid models for model vehicles, target panels, objects, and the desert terrain model in STL file format.

Ground Truth Images, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Laboratory and scenario ground truth images for the Model Desert Terrain Monochromatic DoT dataset.

Groundwater Flooding On Highways In The Nebraska Sandhills: Applying Remote Sensing, Precipitation And Groundwater Modeling To Determine Depth, Cause And Frequency, Aaron R. Mittelstet

Nebraska Department of Transportation: Research Reports

Climate change significantly impacts infrastructure sustainability, particularly through shifts in precipitation patterns, intensity, and duration. These precipitation dynamics may increase the occurrence of surface water and groundwater flooding. Groundwater in the Nebraska Sand Hills (NSH), including the thickest portions of the High Plains Aquifer, extends close to the land surface in interdunal areas, making the NSH vulnerable to groundwater flooding. Recent events involving heavy precipitation, snow melt, and rising groundwater levels have caused prolonged highway flooding, disrupting transportation networks. This study estimates groundwater flood inundation depth, duration and frequency in the highways of NSH using remote sensing techniques and groundwater …

Asl File Reader (Matlab), Bradley M. Ratliff

Source Code

This zip file contains the necessary files for reading binary ASL data and reading and parsing ASL header file metadata in MATLAB.

Polarimetric Data: Scenario 01, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 01 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Application Of Polymer Nanocomposites In The Design Of Prosthetic Sockets That Feature Auxetic Meta-Structures, Sumit Suryakant Kolte, Vinayak Vijayan, Lihua Lou

Publications

This research evaluates the response of prosthetic sockets constructed using polymer nanocomposites and incorporating auxetic meta-structures. The prosthetic sockets feature lightweight meta-structures between the inner and outer walls of the socket. Three different prosthetic designs featuring chiral, reentrant hexagon, and honeycomb meta-structures are evaluated in this study. The prosthetic sockets were designed in SolidWorks and compared using finite element analysis. The polymer nanocomposites used in this study include polypropylene and ultra-high molecular weight polyethylene containing uniformly distributed inclusions of either titanium dioxide, zinc oxide, or graphene nanoplatelets. Our results show a favorable pressure profile at the interface between the prosthetic …

Geophysical Tools For Agricultural Management: Trends, Challenges, And Opportunities, Sophia Becker, Trenton Franz, Yufeng Ge, Joe Luck, Derek M. Heeren

School of Natural Resources: Faculty Publications

Agrogeophysics is a convergence of proximal soil sensing and hydrogeophysics in which geophysical methods are used to describe soil patterns and dynamics that shape agronomic management (including precision agriculture). To fully realize its potential for optimizing agricultural production, current barriers and targets for future agrogeophysics research must be identified. In this review, we compare the trajectory of agrogeophysics within peer-reviewed literature, patents, and the US university extension literature and examine the current challenges and opportunities for supporting agricultural production and sustainability with agrogeophysical tools. We conducted a repeatable search of Web of Science and Scopus for seven geophysical methods (electromagnetic …

Fruits & Flowers, Ashley S. Mcguire

Patent Coloring Books

Patent coloring book

Aeolus-Ds: Dust-Aware Ai Decision Support For Coccidioidomycosis (Valley Fever) — A Design Science Research Framework Integrating Aerosol Remote Sensing, Land Disturbance, And Clinical Sentinel Signals, Harsha Sammangi, Aditya Jagatha, Harshini Balaga

Research & Publications

This paper presents Aeolus-DS, a design science research (DSR) artifact that integrates aerosol remote sensing (MAIAC AOD; dust fraction), mesoscale meteorology and soil moisture (ERA5), land-disturbance telemetry (construction, off-road vehicle activity, nightlights) and clinical sentinel signals (syndromic ED chief complaints, pneumonia rule-out) into a dust-aware, AI-driven early warning and decision-support system for Coccidioidomycosis (Valley Fever). Methodologically, we propose a graph spatiotemporal transformer with direction-aware attention and physics-guided regularisation reflecting aeolian transport. Using county-week panels (2014-2024) for the U.S. Southwest (AZ–CA–NV), Aeolus-DS improves now-casting mean absolute error (MAE) by 18% and two-week area under precision-recall curve (AUPRC) by 21% over …

Building Social Butterflies And Learning Circles: The Key To Organizational Safety Potential, Trevor Farr

ASEM Capstones

2025 ASEM 620 Capstone Project

Dataset Description, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric dataset containing data collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. A model desert terrain model was constructed and imaged for eight different scenarios consisting of different model panel and vehicle targets. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Gis-Based Swat Modeling For Surface Runoff Assessment To Support Urban Flood Resilience In Central Java, Indonesia, Putri Amalia Sholichah Ms., Endah Sulistyawati, Susana Paulina Dewi

Smart City

Surface runoff significantly contributes to environmental hazards such as floods in Indonesia, including in Borobudur District. Based on watershed delineation, the administrative area of Borobudur District is predominantly located within the Sileng Subwatershed. The rehabilitation zones managed by PT Adaro Indonesia are located in several specific areas within this subwatershed. This study utilizes the SWAT (Soil and Water Assessment Tool) model integrated with GIS (Geographic Information System) to simulate surface runoff quantitaively in the Sileng subwatershed, part of the Progo watershed in Central Java Province. SWAT is applied in this research to simulate surface runoff in both watershed and …

Improving The Efficiency Of Wells Turbines In Wave Energy Harvesting Using Computer Simulations, Godfred Abotar-Aidoo, Isaac Plange

ASPIRE 2026

Oscillating Water Columns (OWCs) are among the most promising wave energy converters for harnessing renewable power from ocean waves. These systems use a bi-directional airflow to drive a Wells turbine connected to a generator. However, the turbine’s efficiency is limited by flow separation and stall at high angles of attack. To address this, we investigated the effect of passive flow control by adding stability strips along the suction side of the turbine blades. The unsteady Reynolds-Averaged Navier–Stokes (RANS) equations, coupled with the k–ω SST turbulence model, were solved in ANSYS CFX 2025 R1 to evaluate the aerodynamic performance. Non-dimensional performance …

Tkbe : Two Key Broadcast Encryption For The Iot, Rachit Parikh

Master’s Dissertations

The growing usage of the Internet of Things (IoT) has made it necessary to ensure

the security of these interconnected devices. Key management becomes particularly

challenging when devices are not always online due to resource constraints or business

decisions. Moreover, the IoT infrastructure typically relies on the publish-subscribe

model for communication, which raises additional security considerations since the

message broker becomes a central point of attack. Existing solutions with end-toend

encryption from publisher to subscriber are either computationally expensive for

resource constrained devices or compromise on the decoupling in publish/subscribe

systems. This thesis tackles the problem of efficient key management …

Uncertainty-Driven Fusion For Conflictive Multiview Data: Beyond View Alignment Assumptions, Puspamalya Sahoo

Master’s Dissertations

Multiview learning aims to integrate diverse feature representations to achieve a comprehen- sive understanding of data. Traditional approaches often assume strict alignment across views, making them ill-suited for real-world scenarios where low-quality conflictive instances, i.e. in- stances with conflicting information across views are prevalent. Existing methods largely focus on eliminating conflicting instances by discarding them or substituting conflicting views, over- looking the need for practical decision making in such cases. Furthermore, while the recently proposed Reliable Conflictive Multiview Learning (RCML) framework introduces the idea of attaching reliabilities to decision outcomes, it leaves certain theoretical gaps unaddressed, es-pecially prioritization of conflictive …