Browsing Computer Science by Title
Now showing items 37-56 of 549
-
Artificial intelligence tools for academic management: assigning students to academic supervisors
(International Academy of Technology, Education and Development (IATED), 2020)In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ... -
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ... -
Authoring and presentation tools for distance learning over interactive TV
(ACM, 2010)We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ... -
Automated adaptive playback for encoder-adjudicated live sports
(IEEE, 2022)In low-latency live streaming, it is not easy to simultaneously avoid stalls and maintain low latency. The trade-off needs to be decided in real time. One of the best tools for controlling the buffer level (hence, the ... -
Automated classification of static code analysis alerts: a case study
(IEEE, 2013)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, developers are usually exposed to a large number of alerts. Moreover, some of these alerts are ... -
Automated defect prioritization based on defects resolved at various project periods
(Elsevier, 2021-09)Defect prioritization is mainly a manual and error-prone task in the current state-of-the-practice. We evaluated the effectiveness of an automated approach that employs supervised machine learning. We used two alternative ... -
Automated extraction of feature models from android based portable devices
(IEEE, 2017)Domain analysis is an essential activity in software product line engineering to identify common and variable features among the products of a product family. Feature models are commonly used for depicting the identified ... -
Automated negotiating agents competition (ANAC)
(AAAI press, 2017)The annual International Automated Negotiating Agents Competition (ANAC) is used by the automated negotiation research community to benchmark and evaluate its work and to challenge itself. The benchmark problems and ... -
Automated objective and subjective evaluation of HTTP adaptive streaming systems
(IEEE, 2018-06-26)Streaming audio and video content currently accounts for the majority of the internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players ... -
Automated procedure clustering for reverse engineering PL/SQL programs
(ACM, 2016)PL/SQL programs are mainly composed of procedures that interact with a database. These procedures are grouped into packages at the architecture design level for increasing modularity and maintainability. However, the ... -
Automated refinement of models for model-based testing using exploratory testing
(Springer International Publishing, 2017-09)Model-based testing relies on models of the system under test to automatically generate test cases. Consequently, the effectiveness of the generated test cases depends on models. In general, these models are created manually, ... -
Automated testing of systems of systems
(Springer, 2023)There are various kinds of software applications like mobile and Web applications. These applications have different types of user interfaces and user interaction methods. Hence, test automation tools are either dedicated ... -
Automated Web application testing driven by pre-recorded test cases
(Elsevier, 2022-11)There are fully automated approaches proposed for Web application testing. These approaches mainly rely on tools that explore an application by crawling it. The crawling process results in a state transition model, which ... -
Automatic fall detection for elderly by using features extracted from skeletal data
(IEEE, 2013)Automatic detection of unusual events such as falls is very important especially for elderly people living alone. Realtime detection of these events can reduce the health risks associated with a fall. In this paper, we ... -
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
(The ACM Digital Library, 2019-06)We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ... -
Autotuning runtime specialization for sparse matrix-vector multiplication
(ACM, 2016-04)Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ... -
Availability analysis of software architecture decomposition alternatives for local recovery
(2017)We present an efficient and easy-to-use methodology to predict—at design time—the availability of systems that support local recovery. Our analysis techniques work at the architectural level, where the software designer ... -
Bandwidth prediction in low-latency chunked streaming
(The ACM Digital Library, 2019-06)HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, ... -
Bandwidth prediction in low-latency media transport
(ACM, 2023-06-16)Designing a robust bandwidth prediction algorithm for low-latency media transport that can quickly adapt to varying network conditions is challenging. In this paper, we present the working principles of a hybrid bandwidth ... -
Bargaining chips: Coordinating one-to-many concurrent composite negotiations
(ACM, 2021)This study presents Bargaining Chips: a framework for one-to-many concurrent composite negotiations, where multiple deals can be reached and combined. Our framework is designed to mirror the salient aspects of real-life ...
Share this page
