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Equality graphs (e-graphs) are used to compactly represent equivalence classes of terms in symbolic reasoning systems. Beyond their original roots in automated theorem proving, e-graphs have been used in a variety of applications. They have become ...

One of the central claims of fame of the Coq proof assistant is extraction, i.e. the ability to obtain efficient programs in industrial programming languages such as OCaml, Haskell, or Scheme from programs written in Coq’s expressive dependent type ...

Data support is already driving the development of artificial intelligence. But it cannot solve the semantic problem of artificial intelligence. This requires improving the semantic understanding ability of artificial intelligence. Therefore, a question ...

Social media usage has significantly increased in the modern world. People utilize them as a platform to communicate their thoughts, feelings, and experiences as well as a great deal of personal data. There is no one definition of personality that is ...

A legal agreement is a type of procedural document that describes the steps that parties must take to fulfill legal obligations. Following these steps requires human interpretation, which is often inefficient and error prone. For a Small to Medium Sized ...

A surprising result of Pitts (1992) says that propositional quantifiers are definable internally in intuitionistic propositional logic (IPC). The main contribution of this paper is to provide a formalization of Pitts’ result in the Coq proof assistant,...

Feature point matching between two images is an essential part of 3D reconstruction, augmented reality, panorama stitching, etc. The quality of the initial feature point matching stage greatly affects the overall performance of a system. We present a ...

Experts combating wildlife trafficking manually sift through articles about seizures and arrests, which is time consuming and make identifying trends difficult. We apply natural language processing techniques to automatically extract data from reports ...

Logs, a.k.a. execution traces, provide a glimpse into the functionalities of running systems that have poor, incomplete, or outdated documentation. Logs contain a rich amount of information that can be used to facilitate troubleshooting/debugging, ...

Every day, many people use at least one social network (or social media) account. This development has been boosted by the rapid growth of technology, making both smartphones and mobile data much more accessible and inexpensive. Therefore, the number of ...

This paper reports a study of ultrasound-assisted extraction of from Moringa oleifera leaves. The effects of time (10-30 min), solvent-to-solid ratio (25-75), and ethanol concentration (50-96%) of ultrasound extraction on the yield were investigated ...

In order to improve the remote monitoring capability for the integrated information of intelligent transportation system (ITS) scheduling, a quick extraction method for integrated information of ITS scheduling based on tracking and recognition of the ...

Crowdsourcing is essential for collecting information about real-world entities. Existing crowdsourced data extraction solutions use fixed, non-adaptive querying strategies that repeatedly ask workers to provide entities from a fixed domain until a ...

Most organizations start to reuse software by cloning complete systems and adapting them to new customer requirements. However, with an increasing number of cloned systems, the problems of this approach become severe, due to synchronization efforts. In ...

A software product line enables an organization to systematically reuse software features that allow to derive customized variants from a common platform, promising reduced development and maintenance costs. In practice, however, most organizations ...

Software Product Lines (SPLs) are Software Engineering methodologies that manage the development and evolution of families of product variants. They aim at handling the commonality and variability of these products. SPLs reduce the development cost, ...

The use of digital libraries requires an easy accessibility to documents which is strongly impacted by the quality of document indexing. Named entities are among the most important information to index digital documents. According to a recent study, 80% ...

Threshold logic circuits are artificial neural networks with their neuron outputs being binarized, thus amenable for efficient, multiplier-free, hardware implementation of machine learning applications. In the reviving threshold logic synthesis, this ...

Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications. It is useful for forensic experts to investigate classes of writers. This prediction is ...

The healthcare ecosystem is highly complex. It is composed of multiple stakeholders with intersecting interests. The healthcare regulations such as Health Insurance Portability and Accountability Act, much like the systems they protect, are complex and ...