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A Review of Deep Learning Techniques for Glaucoma Detection
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent advancements in machine learning techniques have greatly...
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Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning
The increasing popularity of cloud computing systems has drawn significant attention from academics and businesses for several decades. However,...
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Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques
Stress is now thought to be a major cause to a wide range of human health issues. However, many people may ignore their stress feelings and disregard...
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Machine Learning Techniques to Web-Based Intelligent Learning Diagnosis System
In this paper, machine learning techniques to web-based intelligent learning diagnosis system are implemented. The main intent of this paper is to...
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Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning Techniques
The exchange of multimedia data is secured using watermarking. Typically, embedding a watermark involves optimising scheme parameters, frequently by...
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MDP-HML: an efficient detection method for multiple human disease using retinal fundus images based on hybrid learning techniques
Recently, medical image processing has improved the quality of medical images for disease prediction in humans. For multiple disease prediction...
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Advanced machine learning techniques for cardiovascular disease early detection and diagnosis
The identification and prognosis of the potential for develo** Cardiovascular Diseases (CVD) in healthy individuals is a vital aspect of disease...
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Machine learning-based techniques for fault diagnosis in the semiconductor manufacturing process: a comparative study
Industries are going through the fourth industrial revolution (Industry 4.0), where technologies like the Industrial Internet of things, big data...
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Detection of driver drowsiness using transfer learning techniques
Major traffic accidents are often caused by driver drowsiness. Modern lifestyles reduce the amount of sleep an individual gets. Hence, this paper...
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Review on Improved Machine Learning Techniques for Predicting Chronic Diseases
AbstractHealthcare industry is a stage which is presented with tremendous innovative headways consistently. Parkinson disease (PD) has become a...
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Diabetes detection based on machine learning and deep learning approaches
The increasing number of diabetes individuals in the globe has alarmed the medical sector to seek alternatives to improve their medical technologies....
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Video summarization using deep learning techniques: a detailed analysis and investigation
One of the critical multimedia analysis problems in today’s digital world is video summarization (VS). Many VS methods have been suggested based on...
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Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence
One primary safety concern for smart cities is fire. Traditional techniques are not appropriate because of their high false alarm rates, delayed...
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Multi-layered perceptron based deep learning model for emotion extraction on monolingual text using intelligence feature engineering and filtering techniques
Text Sentiment Analysis (TSA) for blogs on major microblogging platforms has grown drastically and is also very important as a field of research...
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Spam SMS filtering based on text features and supervised machine learning techniques
The advancement in technology made a significant mark with time, which affects every field of life like medicine, music, office, traveling, and...
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Machine learning techniques in breast cancer preventive diagnosis: a review
Breast cancer (BC) is known as the most prevalent form of cancer among women. Recent research has demonstrated the potential of Machine Learning (ML)...
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A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes diverse fields such as business, social media, healthcare,...
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A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
This paper examines and assesses state-of-the-art proposed machine and deep learning techniques for breast cancer identification and classification...
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Revealing the structural behaviour of Brunelleschi’s Dome with machine learning techniques
The Brunelleschi’s Dome is one of the most iconic symbols of the Renaissance and is among the largest masonry domes ever constructed. Since the late...
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Improving accuracy of code smells detection using machine learning with data balancing techniques
Code smells indicate potential symptoms or problems in software due to inefficient design or incomplete implementation. These problems can affect...
