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Exploiting beam search confidence for energy-efficient speech recognition
With mobile and embedded devices getting more integrated in our daily lives, the focus is increasingly shifting toward human-friendly interfaces,...
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Improving requirements elicitation in large-scale software projects with reduced customer engagement: a proposed cost-effective model
Effective requirements elicitation is crucial for the success of large-scale software projects. However, challenges arise when customers are...
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Parallel implementation of discrete cosine transform and its inverse for image compression applications
This paper presents the graphics processing unit (GPU) implementation of two-dimensional discrete cosine transform (2D DCT) and inverse discrete...
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Secure query processing for smart grid data using searchable symmetric encryption
In the last decade, the smart grid has utilized many modern technologies and applications compared with the conventional grid. Cloud computing offers...
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Conscious points and patterns extraction: a high-performance computing model for knowledge discovery in cognitive IoT
Incorporating cognition into the design and architecture of the Internet of Things (IoT) has recently been the subject of much research, giving rise...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
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A network intrusion detection system based on deep learning in the IoT
As industrial and everyday devices become increasingly interconnected, the data volume within the Internet of Things (IoT) has experienced a...
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An empirical study on cross-component dependent changes: A case study on the components of OpenStack
Modern software systems are composed of several loosely coupled components. Typical examples of such systems are plugin-based systems, microservices,...
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Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
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A fuzzy ontology-based context-aware encryption approach in IoT through device and information classification
IoT devices produce a vast amount of data ranging from personal to sensitive information. Usually, these devices remain connected to the internet so...
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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
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Software verification challenges in the blockchain ecosystem
Blockchain technology has created a new software development context, with its own peculiarities, mainly due to the guarantees that the technology...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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An exploratory evaluation of code smell agglomerations
Code smell is a symptom of decisions about the system design or code that may degrade its modularity. For example, they may indicate inheritance...
