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An optimal feature selection method for text classification through redundancy and synergy analysis
Feature selection is an essential step in text classification tasks to enhance model performance, reduce computational complexity, and mitigate the...
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MTV-SCA: multi-trial vector-based sine cosine algorithm
The sine cosine algorithm (SCA) is a metaheuristic algorithm that employs the characteristics of sine and cosine trigonometric functions. SCA’s...
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Establishing the connection between speech-language pathologists and technology developers in designing novel textile-based AAC (TAAC) technologies
Augmentative and alternative communication (AAC) methods aim to enable a variety of interactions and participation for those with complex...
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A deep learning-based early alzheimer’s disease detection using magnetic resonance images
Alzheimer’s Disease (AD) is a degenerative, chronic condition of the brain for which there is now no effective treatment. However, there are...
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Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis
Breast cancer is one of the most prevalent cancer types and the second leading cause of death among women. But fortunately, early diagnosis and...
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Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today’s era follows a data-driven decision process for large-scale environment analysis. Aerial view-based decision process plays a key role in...
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DG allocation for radial distribution system through optimal sizing in radial power distribution network using hybrid redfox pathfinder optimization
To improve the effectiveness of a radial distribution system (RDS) when constant power and impedance loads are present, this research offers a novel...
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User-experience oriented POI recommendation with pseudo rating
Point-of-interest (POI) recommendation faces challenges in managing data sparsity and cold-start problems, particularly in terms of personalized...
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Using the ToN-IoT dataset to develop a new intrusion detection system for industrial IoT devices
With the rapid expansion of the Internet of Things (IoT), an increasing number of IoT devices are becoming interconnected over the Internet,...
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A weighted multi-view clustering via sparse graph learning
Multi-view clustering considers the diversity of different views and fuses these views to produce a more accurate and robust partition than...
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Enhancing security and scalability by AI/ML workload optimization in the cloud
The pervasive adoption of Artificial Intelligence (AI) and Machine Learning (ML) applications has exponentially increased the demand for efficient...
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Word Sense Disambiguation for Indic Language using Bi-LSTM
In the enormous field of Natural Language Processing (NLP), deciphering the intended significance of a word among a multitude of possibilities is...
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A hybrid optimization approach for securing cloud-based e-health systems
In modern healthcare, cloud-based e-health technology offers substantial benefits but faces significant security challenges. Sensitive patient data...
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Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
Accurate localization of abnormalities within X-ray images is of the utmost importance for arriving at the correct diagnosis. Weakly supervised...
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Gaming the system: tetromino-based covert channel and its impact on mobile security
Trojan droppers consistently emerge as challenging malware threats, particularly within the Android ecosystem. Traditional malware detection...
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Cross channel interaction based ECA-Net using gated recurrent convolutional network for speech enhancement
Recently channel attention mechanism playing a major role in improving the performance of deep convolution neural networks. Even though there is an...
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Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Computational intelligence techniques have emerged as a promising approach for diagnosing various medical conditions, including memory impairment....
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PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition
Point cloud contains rich spatial information, providing effective supplementary clues for action recognition. Existing action recognition algorithms...
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Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
Heterogeneous multi-core processor has the ability to switch between different types of cores to perform tasks, which provides more space and...
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Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review
Polycystic Ovarian Syndrome, also known as PCOS, is a major hormonal imbalance affecting women primarily in their reproductive age. Women...
