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Performance evaluation of Dictionary Learning and ICA on Parkinson’s patients classification using Machine Learning
Currently, extensive research is being conducted in the application of Machine Learning (ML) algorithms in the medical domain and one such area is...
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Extreme Learning machine algorithm for breast Cancer diagnosis
Recently, significant attention has been given to using machine learning (ML) and data mining algorithms for diagnosing breast cancer (BC). However,...
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Video Codec Using Machine Learning Based on Parametric Orthogonal Filters
AbstractThe research deals with video encoding using a machine learning-based videoframe approximator. The use of neural networks and hierarchical...
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Automatic early detection of rice leaf diseases using hybrid deep learning and machine learning methods
Plant leaf disease detection is critical for long-term agricultural viability. Numerous Artificial Intelligence (AI) and Machine Learning (ML)...
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Trustworthy machine learning in the context of security and privacy
Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the...
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Multilayer extreme learning machine: a systematic review
Majority of the learning algorithms used for the training of feedforward neural networks (FNNs), such as backpropagation (BP), conjugate gradient...
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Navigating with chemometrics and machine learning in chemistry
Chemometrics and machine learning are artificial intelligence-based methods stirring a transformative change in chemistry. Organic synthesis, drug...
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Obesity disease risk prediction using machine learning
Obesity is a global issue that harms everyone’s health, regardless of age or gender. An excessive or abnormal amount of body fat is referred to as...
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Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms
Diabetes has become one of the most common diseases in middle- and low-income countries. Machine learning (ML) and data mining techniques have...
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Smart hydropower management: utilizing machine learning and deep learning method to enhance dam’s energy generation efficiency
Renewable energy sources and hydroelectric power generation in large parts of the electricity market are crucial as environmental pollution worsens ....
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TransNet: a comparative study on breast carcinoma diagnosis with classical machine learning and transfer learning paradigm
Breast Carcinoma is a deadly disease; therefore, timely diagnosis is one of the most critical concerns that must be addressed globally since it can...
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Android malware detection using time-aware machine learning approach
In today’s rapidly evolving digital landscape, the surge in smartphone usage is paralleled by an increasing wave of cyberthreats, highlighting the...
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Authorship attribution in twitter: a comparative study of machine learning and deep learning approaches
As social media platforms gain popularity and influence, content integrity and user accountability issues become more critical. Authorship...
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Introduction to Machine Learning
This chapter introduces you to the basic principles of machine learning, including the machine learning workflow. These concepts will apply to nearly...
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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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Deep Machine Learning in Optimization of Scientific Research Activities
Abstract—This article provides a general overview of machine learning, a subdomain of artificial intelligence. The substance of the deep learning...
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A review of machine learning methods used for educational data
Integrating machine learning (ML) methods in educational research has the potential to greatly impact upon research, teaching, learning and...
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Human-Curated Validation of Machine Learning Algorithms for Health Data
Validation of machine learning algorithms that take health data as input is analysed, leveraging on an example from radiology. A 2-year study of AI...
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Machine Learning and Deep Learning Based Hybrid Feature Extraction and Classification Model Using Digital Microscopic Bacterial Images
Bacteria are single-celled organisms with a propensity to survive in a wide range of environments. Most of these species can be found both in soil...
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Advancements in skin cancer classification: a review of machine learning techniques in clinical image analysis
Early detection of skin cancer from skin lesion images using visual inspection can be challenging. In recent years, research in applying deep...
