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A hybrid neural network for urban rail transit short-term flow prediction
Accurate and rapid short-term passenger flow prediction is the foundation for safe and efficient operation of urban rail transit systems. The urban...
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A robust two-step algorithm for community detection based on node similarity
The rapid development of the internet and social network platforms has given rise to a new field of research, social network analysis. This field of...
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Blind Color Image Watermarking Using Deep Artificial Neural Network Using Statistical Features
With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity...
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SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
In agriculture, detecting plant diseases is crucial for optimal plant growth. Initially, input images are collected from three datasets: banana leaf...
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LATA: learning automata-based task assignment on heterogeneous cloud computing platform
A cloud computing environment is a distributed system where idle resources are accessible across a wide area network, such as the Internet. Due to...
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An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching
The subgraph searching is a fundamental operation for the analysis and exploration of graphs. Nowadays, molecular databases are nearing close to one...
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Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
Apple cultivation in the Kashmir Valley is a cornerstone of the region’s agriculture, contributing significantly to the economy through substantial...
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A Game-Based Cognitive Intervention for Young Learners with Reading Difficulties
The study’s primary contribution is a game-based cognitive intervention tool for young learners with reading difficulties. The second contribution is...
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Integrated multi-view modeling for reliable machine learning-intensive software engineering
Development of machine learning (ML) systems differs from traditional approaches. The probabilistic nature of ML leads to a more experimentative...
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What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow
Machine learning (ML), including deep learning, has recently gained tremendous popularity in a wide range of applications. However, like traditional...
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Design smells in multi-language systems and bug-proneness: a survival analysis
Modern applications are often developed using a combination of programming languages and technologies. Multi-language systems offer opportunities for...
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A cloud-fog distributed trust service for wireless sensor networks
In wireless sensor networks (WSNs), data aggregation techniques are used to reduce energy consumption of the sensors and extend the network lifetime....
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A comparative study of software defect binomial classification prediction models based on machine learning
As information technology continues to advance, software applications are becoming increasingly critical. However, the growing size and complexity of...
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Exploring low-level statistical features of n-grams in phishing URLs: a comparative analysis with high-level features
Phishing attacks are the biggest cybersecurity threats in the digital world. Attackers exploit users by impersonating real, authentic websites to...
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Empowering e-learning approach by the use of federated edge computing
Federated learning (FL) is a decentralized approach to training machine learning model. In the traditional architecture, the training requires...
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Decomposition-based long short-term memory model for price forecasting of agricultural commodities
Accurate and reliable price forecasting of agricultural commodities is one of the research hotspots, as these prices are inherently complex and...
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IoV security and privacy survey: issues, countermeasures, and challenges
As a growing up-and-coming branch of the Internet of Things and traditional vehicular ad hoc networks, the Internet of Vehicles (IoV) is intended to...
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Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet...
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Hardware architecture and memristor-crossbar implementation of type-2 fuzzy system with type reduction and in-situ training
The Type-2 fuzzy set is a fuzzy set with fuzzy membership degrees. This set is used when accurately determining the membership degree of a fuzzy set...
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Proteo: a framework for the generation and evaluation of malleable MPI applications
Applying malleability to HPC systems can increase their productivity without degrading or even improving the performance of running applications....
