Defect detection in software development represents a vital activity that relies on efficient and precise techniques to assure the quality of the software. this manuscript tries to explore the possibilities of the Ada...
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ISBN:
(纸本)9783031821523;9783031821530
Defect detection in software development represents a vital activity that relies on efficient and precise techniques to assure the quality of the software. this manuscript tries to explore the possibilities of the Adaboost model optimized by a modified sinh cosh metaheuristics algorithm for accurate and efficient detection of defects. As modern development projects are dynamic and with tight deadlines, the capability of Adaboost classifier to adopt intricate patterns and metrics in the software code may help in identifying problematic modules, thus allowing focused testing in limited available time. As software development industry recently recognized the significance of the proactive testing, this manuscript suggests an approach where machinelearning model was effectively integrated in a framework that helps in identifying error-prone modules. the suggested optimized Adaboost classifier has shown very promising performance with respect to the precision and accuracy of identifying faulty modules based on the software metrics, making it a potentially crucial tool that could be applied in the modern software development practice.
Forest fires are one of the worldwide severe natural disasters causing human and environmental losses. Early and accurate fire detection is critical to minimize damages caused by forest fires and reduce human risks in...
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Insider threats, in which someone within an organization poses a risk, are widely regarded as the most dangerous in cybersecurity. Many analysts are working hard to identify and prevent these risks. However, the most ...
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In the face of a complex and ever-changing electromagnetic environment, the rapid increase in the number and types of radiation sources has made traditional Specific Emitter Identification techniques, which rely on co...
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Internet has become a rich source of user-generated his/her general opinion for products, services, social events, company strategies etc. this has created a need for emotion mining using sentiment analysis. there is ...
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the glucose levels in the blood are crucial to how well the normal body functions. Food supplies the human body with energy. In the human body, blood glucose aids in this process. Diabetes develops when the body's...
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Parkinson's disease is a common neurological condition that occurs when dopamine production in the brain decreases significantly due to the degeneration of neurons in an area called the substantia nigra. One of it...
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ISBN:
(数字)9783031390593
ISBN:
(纸本)9783031390586;9783031390593
Parkinson's disease is a common neurological condition that occurs when dopamine production in the brain decreases significantly due to the degeneration of neurons in an area called the substantia nigra. One of its characteristics is the slow and gradual onset of symptoms, which are varied and include tremors at rest, rigidity, and slow speech. Voice changes are very common among patients, so analysis of voice recordings could be a valuable tool for early diagnosis of the disease. this study proposes an approach that compares different machinelearning models for the diagnosis of the disease through the use of vocal recordings of the vowel a made by both healthy and sick patients and the identification of the subset of the most significant features the experiments were conducted on a data set available on the UCI repository, which collects 756 different recordings. the results obtained are very encouraging, reaching an F-score of 95%, which demonstrates the effectiveness of the proposed approach.
Withthe popularity of social media in modern society, online opinion analysis has become an important research field. this study proposes a novel hybrid datamining algorithm that combines sentiment analysis and topi...
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Support Vector machine (SVM) is a machinelearning approaches has been used for bird species identification. Feature extraction from bird photos is used to train the SVM classifier. these features include morphologica...
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An on-line vibration detection method for power transformers is introduced. this design includes sensor module, real-time processing module, PC module. the sensor module collects the vibration, voltage, load voltage a...
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