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Intrusion detection systems for IoT based on bio-inspired and machine learning techniques: a systematic review of the literature
Recent technological advancements have significantly expanded both networks and data, thereby introducing new forms of attacks that pose considerable...
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Cancer detection and segmentation using machine learning and deep learning techniques: a review
Cancer is the most fatal diseases in the world which has highest mortality rate as compared to other type’s human diseases. The most common and...
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New enhanced breast tumor detection approach in mammogram scans based on pre-processing and deep transfer learning techniques
Breast cancer has surpassed heart disease as the second most common cause of mortality among women. Amongst several imaging techniques, mammogram...
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Software fault prediction using deep learning techniques
Software fault prediction (SFP) techniques identify faults at the early stages of the software development life cycle (SDLC). We find machine...
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Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review
In the contemporary era, Facial Expression Recognition (FER) plays a pivotal role in numerous fields due to its vast application areas, such as...
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Diabetes prediction model using machine learning techniques
Diabetes has emerged as a significant global health concern, contributing to various severe complications such as kidney disease, vision loss, and...
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Intelligent techniques in e-learning: a literature review
Online learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools and campuses....
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An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques
Detection of malignant lung nodules at an early stage may allow for clinical interventions that increase the survival rate of lung cancer patients....
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A comprehensive survey on image captioning: from handcrafted to deep learning-based techniques, a taxonomy and open research issues
Image captioning is a pretty modern area of the convergence of computer vision and natural language processing and is widely used in a range of...
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Employing machine learning techniques in monitoring autocorrelated profiles
In profile monitoring, it is usually assumed that the observations between or within each profile are independent of each other. However, this...
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End-to-end tire defect detection model based on transfer learning techniques
Visual inspection of defective tires post-production is vital for human safety, as faulty tires can lead to explosions, accidents, and loss of life....
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Cyberattack defense mechanism using deep learning techniques in software-defined networks
Software-defined networking (SDN) is a network architecture. It is becoming more popular due to its centralized network administration, adaptability,...
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Skin cancer detection using ensemble of machine learning and deep learning techniques
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able to diagnose it accurately. In particular, melanoma is a...
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DDoS mitigation using blockchain and machine learning techniques
Online services are vulnerable to Distributed Denial of Service (DDoS) attacks, which overwhelm target servers with malicious traffic. These attacks...
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Visual sentiment analysis using data-augmented deep transfer learning techniques
The use of visual content to express emotions on social media platforms has become increasingly popular. Visual sentiment analysis can be used to...
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Visual sentiment analysis using data-augmented deep transfer learning techniques
There has been a growing trend among users of social media platforms to express their emotions using visual content. Visual sentiment analysis is the...
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Machine learning for leaf disease classification: data, techniques and applications
The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence...
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Review of heterogeneous graph embedding methods based on deep learning techniques and comparing their efficiency in node classification
Graph embedding is an advantageous technique for reducing computational costs and effectively using graph information in machine learning tasks like...
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Detecting and Mitigating Encoded Bias in Deep Learning-Based Stealth Assessment Models for Reflection-Enriched Game-Based Learning Environments
Reflection plays a critical role in learning. Game-based learning environments have significant potential to elicit and support student reflection by...
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Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the necessity of using automated sentiment analysis techniques has...
