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Now showing items 51-60 of 97
A review of bioinformatics tools and web servers in different microarray platforms used in cancer research
(
Elsevier
, 2022 , Book chapter)
Over the past decade, conventional lab work strategies have gradually shifted from being limited to a laboratory setting towards a bioinformatics era to help manage and process the vast amounts of data generated by omics ...
Attention-Based Model for Accurate Stance Detection
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
(
Elsevier
, 2022 , Article)
Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ...
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
There is a high demand for chatbots across a wide range of sectors. Human-like chatbots engage meaningfully in dialogues while interpreting and expressing emotions and being consistent through understanding the user's ...
A deep learning based static taint analysis approach for IoT software vulnerability location
(
Elsevier B.V.
, 2020 , Article)
Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of ...
An optimized algorithm for optimal power flow based on deep learning
(
Elsevier
, 2021 , Article)
With the increasing requirements for power system transient stability assessment, the research on power system transient stability assessment theory and methods requires not only qualitative conclusions about system transient ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
(
Springer Nature
, 2022 , Article)
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ...
Deep and transfer learning for building occupancy detection: A review and comparative analysis
(
Elsevier
, 2022 , Short Survey)
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ...