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A hybrid convolutional neural network and support vector machine classifier for Amharic character recognition
Optical character recognition is a way of converting scanned images of printed or handwritten documents into machine-encoded text, making it easier...
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Unlocking learner engagement and performance: A multidimensional approach to map** learners to learning cohorts
Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance...
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Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection
With the burgeoning global demand for seafood, potential solutions like aquaculture are increasingly significant, provided they address issues like...
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Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization
Ransomware is a significant security threat that poses a serious risk to the security of smartphones, and its impact on portable devices has been...
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A multimodal attention-fusion convolutional neural network for automatic detection of sleep disorders
Sleep is essential for human physical and mental health. Sleep disorders are a significant threat to human health, and a large number of people in...
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Candros optimization algorithm based dual attention LieNet model for low light image enhancement
The images taken in the low-light environment appear dark and possess low visual quality due to inadequate light exposure, which influences the image...
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Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction
As the usage of software analytics for understanding different organizational practices becomes prevalent, it is important that data for these...
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An efficient fire detection system based on deep neural network for real-time applications
Fires represent an important risk to an entire planet, destroying everything from huge cities to impenetrable forests. This can be prevented using...
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A sequence recommendation method based on external reinforcement and position separation
Sequential Recommendation systems play a crucial role in predicting users’ preferences based on their behavioral history. However, the existing...
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Generating Novel 6-Point Girihs (6-Point Islamic Geometric Patterns) Based on Existing Ones
6-point girihs (6-point Islamic geometric patterns) are among the earliest and most popular geometric patterns created by Muslim artists in Iran....
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ETRS: efficient turn restrictions setting method for boundary routers in chiplet-based systems
The implementation of turn restrictions represents a critical research challenge in chiplet-based systems, with the objective of achieving...
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Comments on “An application of parametric approach for interval differential equation in inventory model for deteriorating items with selling-price-dependent demand”
This paper points out the interval form deficiencies in the recent paper “An application of parametric approach for interval differential equation in...
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Getting it right: the limits of fine-tuning large language models
The surge in interest in natural language processing in artificial intelligence has led to an explosion of new language models capable of engaging in...
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Workload dynamics implications in permissioned blockchain scalability and performance
Blockchain Technology has grown exponentially in recent years due to its decentralized, immutable, transparent data storage, transaction sharing, and...
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OV-VIS: Open-Vocabulary Video Instance Segmentation
Conventionally, the goal of Video Instance Segmentation (VIS) is to segment and categorize objects in videos from a closed set of training...
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Visual signatures for music mood and timbre
Existing research on music visualization has primarily focused on creating animated visual illustrations to accompany the music being played based on...
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Virtual reality technologies to provide performance feedback for motor and imagery training
The key research objective is to explore the key functions of virtual reality technology used by educators to improve motor and imagery training in...
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Ensemble Learning with Extended Newton Support Vector Machines for Enhancing Gene Expression Classification
Gene expression classification plays a crucial role in diagnosing diseases. In response to this critical challenge, the research community has...
