Denial Constraint (DC) is a well-established formalism that captures a wide range of integrity constraints commonly encountered, including candidate keys, functional dependencies, and ordering constraints, among others. Given their significance, there ...

Data Science (DS) has emerged as a new academic discipline where students are introduced to data-centric thinking and generating data-driven insights through programming. Unlike traditional introductory Computer Science (CS) education, which focuses on ...

With the advent of transformer-based architectures, the contextual representation of text data has leveraged the query and the document to be represented in low-dimensional dense vector space. These vectors are learned embeddings of fixed sizes, ...

• Transformer-based contextual text representation approach is proposed for IR.
• Bi-Encoder architecture is applied to learn the representations of documents & query.
• BERT-based summarization is applied to address the limitation on ...

Developers spend a significant amount of time in editing code for a variety of reasons such as bug fixing or adding new features. Designing effective methods to predict code edits has been an active yet challenging area of research due to the diversity ...

Abstract: Cloud computing is arising with developing fame in work process booking, particularly for logical work process. During resource allotment, the cloud computing climate might experience impressive issues as far as execution time and execution ...

We present CoWrangler, a real-time data wrangling recommender system, which can recommend the next-best data wrangling operations along with the corresponding human-readable and efficient code snippets to expedite data exploration and wrangling efforts. ...

Programming-by-Examples (PBE) involves synthesizing an "intended program" from a small set of user-provided input-output examples. A key PBE strategy has been to restrict the search to a carefully designed small domain-specific language (DSL) with "...

An organization can be created through the Industrial Internet of Things (IIoT), which can transform an existing bound structure. The Industrial Internet of Things (IIoT) and its remote organization requirements for current sensors are very productive. ...

Recent development in NL2CODE (Natural Language to Code) research allows end-users, especially novice programmers to create a concrete implementation of their ideas such as data visualization by providing natural language (NL) instructions. An NL2CODE ...

Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the program they want, but introduce small mistakes that yield broken ...

Integrated Development Environments (IDEs) provide tool support to automate many source code editing tasks. Traditionally, IDEs use only the spatial context, i.e., the location where the developer is editing, to generate candidate edit recommendations. ...

Estimating 3D surface normals through photometric stereo has been of great interest in computer vision research. Despite the success of existing traditional and deep learning-based methods, it is still challenging due to: (i) the requirement of ...

We introduce a method to form and maintain a flock of drones only based on relative distance measurements. This means our approach is able to work in GPS-denied environments. It is fully distributed and therefore does not need any information ...

The eagle expresses of cloud computing plays a pivotal role in the development of technology. The aim is to solve in such a way that it will provide an optimized solution. The key role of allocating these efficient resources and making the algorithms ...

In the computing world, every company is focusing on the early reservation system. In the early reservation the price, quality of service, time, and everything is maintained and reserved for the user on the due interval. ORRS is a step toward this ...

Multi-modal program synthesis refers to the task of synthesizing programs (code) from their specification given in different forms, such as a combination of natural language and examples. Examples provide a precise but incomplete specification, and ...

Although biopsy is the gold standard for tumour grading, being invasive, this procedure also proves fatal to the brain. Thus, non-invasive methods for brain tumour grading are urgently needed. Here, a magnetic resonance imaging (MRI)-...

• A computer-aided diagnostic tool is proposed for automated brain tumour classification using MRI.
• Machine and deep learning-based ensemble algorithms are proposed to enhance the performance of many models.
• The proposed method is ...

Text appearing in Natural settings come in all shapes, sizes and textures. Classical methods have often failed at extracting accurately the text present in naturally occurring scenes. Text appearing in the wild presents itself in forms of hierarchy ...

Data profiling refers to the task of extracting technical metadata or profiles and has numerous applications such as data understanding, validation, integration, and cleaning. While a number of data profiling primitives exist in the literature, most of ...

The reliability of inferences made by data-driven systems hinges on the data's continued conformance to the systems' initial settings and assumptions. When serving data (on which we want to apply inference) deviates from the profile of the initial ...