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A New Look at Triangles: Advances in Theory for Chordal Graphs with Applications in Materials Science

Description: This poster probes a new look at triangles, focusing on advances in theory for chordal graphs with applications in materials science. It was presented at UNT's University Research Day event on October 2, 2025 in Denton, Texas.
Date: October 2, 2025
Creator: Banerjee, Soumendra Nath; Bhowmick, Sanjukta & Dahotre, Narendra B.
Partner: University of North Texas
open access

Current and future directions in network biology

Description: The authors of this article discuss prevailing research directions in network biology, focusing on molecular/cellular networks but also on other biological network types such as biomedical knowledge graphs, patient similarity networks, brain networks, and social/contact networks relevant to disease spread. This article establishes a roadmap for an immediate and long-term vision for network biology
Date: August 14, 2024
Creator: Zitnik, Marinka; Li, Michelle M.; Wells, Aydin; Glass, Kimberly; Gysi, Deisy Morselli; Krishnan, Arjun et al.
Partner: UNT College of Engineering
open access

CloudProteoAnalyzer: scalable processing of big data from proteomics using cloud computing

Description: The authors of this article have developed a cloud-based parallel computing application to offer end-to-end proteomics data analysis software as a service. Their study demonstrated SaaS for proteomics as a viable solution for the community to scale up the data processing using cloud computing.
Date: February 25, 2024
Creator: Li, Jiancheng; Xiong, Yi; Feng, Shichao; Pan, Chongle & Guo, Xuan
Partner: UNT College of Engineering
open access

6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges

Description: This article presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. The authors delve into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies.
Date: March 15, 2024
Creator: Chataut, Robin; Nankya, Mary & Akl, Robert G.
Partner: UNT College of Engineering
open access

PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in Healthcare Cyber-Physical Systems

Description: This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous device and data security in smart healthcare. The authors' experimental analysis shows that the proposed approach successfully integrates three security primitives, PUF, blockchain, and Tangle, providing decentralized access control and security in H-CPS with minimal energy requirements, data storage, and response time.
Date: January 31, 2024
Creator: Bathalapalli, Venkata K. V. V.; Mohanty, Saraju P.; Kougianos, Elias; Iyer, Vasanth & Rout, Bibhudutta
Partner: UNT College of Science
open access

Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution

Description: The authors assert that thyroid diseases has been on the rise during the past few years, and the problem of class imbalance is not investigated very well in this context. This article aims to solve these issues by the proposed approach of using a differential evolution-based optimization algorithm to fine-tune the parameters of machine learning models.
Date: January 3, 2024
Creator: Gupta, Punit; Rustam, Furqan; Kanwal, Khadija; Aljedaani, Wajdi; Alfarhood, Sultan; Safran, Mejdl et al.
Partner: UNT College of Engineering
open access

Proteomic stable isotope probing with an upgraded Sipros algorithm for improved identification and quantification of isotopically labeled proteins

Description: This article asserts that the Spiros algorithm is used in proteomic SIP to identify variably labeled proteins and quantify their isotopic enrichment levels by performing enrichment-resolved database searching. In this study Spiros was upgraded to improve the labeled protein identification, isotopic enrichment quantification, and database searching speed.
Date: August 8, 2024
Creator: Xiong, Yi; Mueller, Ryan S.; Feng, Shichao; Guo, Xuan & Pan, Chongle
Partner: UNT College of Engineering
open access

Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-view 3D Detection and Tracking

Description: The authors of this article propose a unified object-aware temporal learning framework for multi-view 3D detection and tracking tasks. Furthermore, having observed that the efficacy of the temporal fusion strategy in recent multi-view perception methods may by weakened by distractors and background clutters in historical frames, the authors propose a cyclic learning mechanism to improve the robustness of multi-view representation learning.
Date: July 16, 2024
Creator: Guo, Mingzhe; Zhang, Zhipeng; Jing, Liping; He, Yuan; Wang, Ke & Fan, Heng
Partner: UNT College of Engineering

Orthoimagery Enhancement: Leveraging Deep Learning to Unveil and Analyze Environmental Changes in Landscapes

Description: This poster utilizes unmanned aerial systems to capture high-resolution imagery, including Near-Infrared channels for superior feature detection and classification, and it tracs biodiversity shifts in transitioning landscapes accurately and efficiently. It was presented at the UNT Research Day on October 4, 2024 in Denton, Texas.
Date: October 4, 2024
Creator: Pendekanti, Nagarjuna; Irfan, Asma; Bodula, Ruchira & South, John
Partner: UNT College of Engineering
open access

Machine Learning Models for Parkinson Disease: Systematic Review

Description: The authors of this article conducted a systematic literature review in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed between January 2020 and April 2021, using the following exact string: “Parkinson’s” AND (“ML” OR “prediction” OR “classification” OR “detection” or “artificial intelligence” OR “AI”). This review highlights the notable limitations of current ML systems and techniques that may contribute to a gap between reported… more
Date: May 17, 2024
Creator: Tabashum, Thasina; Snyder, Robert Cooper; O'Brien, Megan K. & Albert, Mark
Partner: UNT College of Engineering
open access

End-to-End Deep Learning Framework for Arabic Handwritten Legal Amount Recognition and Digital Courtesy Conversion

Description: This article introduces an innovative AI-driven method for simultaneously recognizing and converting Arabic handwritten legal amounts into numerical courtesy forms. The results of this study demonstrate promising potential for practical implementation in diverse Arabic financial systems.
Date: July 19, 2024
Creator: Abdo, Hakim A.; Abdu, Ahmed; Al-Antari, Mugahed A.; Manza, Ramesh R.; Talo, Muhammed; Gu, Yeong Hyeon et al.
Partner: UNT College of Engineering
open access

Data-Driven ICS Network Simulation for Synthetic Data Generation

Description: The authors of this article assert that industrial control systems (ICSs) are integral to managing and optimizing processes in various industries, including manufacturing, power generation, and more. This article presents a groundbreaking approach to generating synthetic ICS data through a data driven ICS network simulation.
Date: May 14, 2024
Creator: Kim, Minseo; Jeon, Seungho; Cho, Jake & Gong, Seonghyeon
Partner: UNT College of Engineering
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