This article introduces a novel multi-objective attack response system.

This presentation discusses the research of sensor synchronization, sensor grid routing, and voice over internet protocol (VoIP).

In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.

This paper discusses a time synchronization scheme for wireless sensor networks that aims to conserve sensor battery power while maintaining network connectivity for as long as possible.

This presentation discusses call admission control (CAC). The authors define a set of feasible call configurations that results in a CAC algorithm that captures the effect of having an arbitrary traffic distribution and whose complexity scales linearly with the number of cells.

This presentation discusses research on cell placement in a CDMA network. In order to enable iterative cell placement the authors use a computationally efficient iterative process to calculate the inter-cell and intra-cell interferences as a function of pilot-signal power and base station location.

This article discusses a novel risk equation for estimating new infections among Females who Sell Sex (FWSS), their clients, and communities.

This paper discusses parity assisted decision making for QAM modulation.

Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.

This article uses a stratified SEIR epidemic model to evaluate the impact of Umrah, a global Muslim pilgrimage to Mecca, on the spread of the COVID-19 pandemic during the month of Ramadan, the peak of the Umrah season. The analyses provide insights into the effects of global mass gatherings on the progression of the COVID-19 pandemic locally and globally.

This article implements a safer and alternative multimodal therapeutic strategy involving simultaneous optical and oscillating (AC) magnetic field stimulation of a multifunctional nanocarrier system to guide neuroblastoma cell destruction.

Data management plan for the research project "Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics."

Report on the PAN-EARTH Sub-Saharan Africa Workshop. This workshop focused on the effects of global climate changes on the agriculture and ecology of the countries of sub-Saharan Africa.

Data management for the grant, "Collaborative Research: Framework Implementations: CSSI: CANDY: Cyberinfrastructure for Accelerating Innovation in Network Dynamics." Research addressing the lack of a comprehensive cyberinfrastructure that supports innovative research challenges in large-scale, complex, dynamic networks by developing a novel platform, called CANDY (Cyberinfrastructure for Accelerating Innovation in Network Dynamics), based on efficient, scalable parallel algorithm design for dynamic networks and high-performance software development with performance optimization.

Article introducing a Blockchain-based medical data-sharing framework (called GlobeChain) to overcome the technical challenges to handle outbreak records. The challenges that might arise due to the proposed Blockchain-based framework are also presented as a future direction that grabs the proposal's effectiveness. This is the accepted manuscript version of the article.

Data management plan for the grant, "The University of North Texas Industrial Assessment Center."

Article presenting research where concurrent oxalic acid-catalyzed reactions, including cellulose hydrolysis and esterification of the hydrolyzed cellulose, were performed to prepare the nanocellulose from sugarcane bagasse.

This paper describes a co-training approach that uses the text and citation information of a research article as two different views to predict the topic of an article.

Data management plan for the grant "Development of Genetic Sensors and Circuits for Creating Novel Cellular Behaviors." This research is expected to advance the capability to engineer organisms for biomedical uses. Specifically, the outcomes of this project include design principles for engineering regulators from different protein families, an extensive set of genetic sensors for detecting a broad range of signals, and novel genetic circuits that address uprising problems in biomedical fields. It uses a novel multidisciplinary approach to enhance the health of the nation by creating tools that facilitate both medical-related discoveries and the implementation of new strategies for biomedical applications.

This paper discusses word sense disambiguation.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

This article discusses dynamic intimate contact social networks and epidemic interventions.

Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.

This article presents a study that aims to understand the fundamental aspects of the laser-bone interaction in three-dimensional laser machining of the bone through an integrated experimental-computational approach.