Patent relating to improved methods for utilizing 911 services and for implementing 911 dispatch protocols by accessing mobile phone sensors and applications.

Article proposes a three-dimensional fusion hierarchical reconstruction method that utilizes a multi-view feature combination method and a hierarchical prediction strategy to unify the single view and any number of multiple views 3D reconstructions.

In this research, multi-perspective image registration using LiDAR and visual images was considered. 2D-3D image registration is a difficult task because it requires the extraction of different semantic features from each modality. This problem is solved in three parts. The first step involves detection and extraction of common features from each of the data sets. The second step consists of associating the common features between two different modalities. Traditional methods use lines or orthogonal corners as common features. The third step consists of building the projection matrix. Many existing methods use global positing system (GPS) or inertial navigation system (INS) for an initial estimate of the camera pose. However, the approach discussed herein does not use GPS, INS, or any such devices for initial estimate; hence the model can be used in places like the lunar surface or Mars where GPS or INS are not available. A variation of the method is also described, which does not require strong features from both images but rather uses intensity gradients in the image. This can be useful when one image does not have strong features (such as lines) or there are too many extraneous features.

Article discussing the abstraction augmented Markov models.

Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.

In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.

This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.

This book chapter discusses annotating and identifying emotions in text.

Article introduces the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses.

Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.

Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.

Patent relating to an apparatus and method for transmitting secure and/or copyrighted digital video broadcasting data over internet protocol network.

Article uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability to climate change.

Article proposes a two-stage training dense point cloud generation network.

Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.

This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.

This paper presents an approach to extract implicit interpretations from modal constructions.

This paper introduces a new representation of sentences--Minimal Meaningful Propositions (MMPS), which allows significant improvement of the mapping between a learner's answer and the ideal response.

This paper presents a methodology to extract positive interpretations from negated statements.

Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.

This paper discusses autonomous robot localization using WiFi fingerprinting.

Article discussing a study that was conducted to understand the basis of a bacterial infection that is common among dairy cows.

This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.

This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.