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Artificial Intelligence in Breast Cancer Diagnosis: A Review
The impact of human errors in imaging interpretation and the fact that decision support systems can improve the reliability and accuracy of radiology...
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Classification of H&E Stained Liver Histopathology Images Using Ensemble Learning Techniques for Detection of the Level of Malignancy of Hepatocellular Carcinoma (HCC)
Hepatocellular carcinoma (HCC) is one of the most common types of primary liver cancer and a leading cause of cancer-related deaths worldwide....
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Performance Analysis of Deep Learning Models on Chemokines Protein Group Using Structure-Based Pattern Detection
The recent success of deep learning-based models such as AlphaFold 2 on the prediction of structure from protein sequences has made structural...
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Machine Learning-Assisted Identification of Vulnerable Historic Buildings in Urban Environments
The vulnerability assessment of architectural cultural heritage represents a challenging, however necessary, activity towards defining risk...
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Extracting Sentiment from Business News Announcements for More Efficient Decision Making
Sentiment analysis is a subfield of natural language processing intending to identify if the content of a text is positive, negative, or neutral....
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Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges
One of the fatal diseases that kills a large number of humanity across the globe is brain tumor. If the brain tumor detection is delayed, then the...
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Unsupervised Approaches in Anomaly Detection
Industry 4.0 is a new industrial stage based on the revolution brought about by the integration of information and communication technologies (ICT)...
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Introduction
People's duties have had a significant impact on engineering and scientific careers in the last several decades.
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Deep Learning’s Impact on Speech Synthesis for Mobile Devices
In recent years, speech synthesis has become an integral part-of-speech-based human–machine interfaces on mobile devices, sparking significant...
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Cotton Plant Disease Detection Using Deep Learning
Most of the farmers cultivate cotton in large numbers but one of the biggest issues in recent decades has been the cotton leaf disease which affects...
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Comparison of Flyback with Buck-Boost Converter for Solar Applications
DC–DC converters are widely used as midrange converters to improve the desired power quality and lesser the harmonics at an optimum cost by producing...
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A Real-Time Fish Recognition Using Deep Learning Algorithms for Low-Quality Images on an Underwater Drone
The maritime industry employs various tools, including underwater drones, to search for and monitor marine life. The primary objective of this study...
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Harmonics Reduction Using ANN-Based Hybrid Active Filter for Power Quality Improvement
The rapid proliferation of power electronics-based nonlinear loads has made power quality a significant concern in a distribution network. Harmonic...
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A Comparative Analysis of Lung Cancer Prediction Using Machine Learning Techniques
Smoking is the primary cause of lung cancer in India, and men are more likely than women to smoke. Lung cancer is far more likely to occur in India,...
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Wireless Sensor Network in Reliable Transportation Theory Using Fuzzy Logic and Genetic Algorithm
In a wireless sensor network (WSN), reduced energy resources between nodes present a complicated challenge in terms of data collection, routing, and...
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Verwendung von maschinellem Lernen zur Vorhersage der Auswirkungen von nicht erneuerbaren Energiequellen auf den Klimawandel in Indien
Kapitel 5 versucht, Trends in der durchschnittlichen Landtemperatur aufgrund von CO2-Emissionen aus nicht erneuerbaren Energiequellen wie „Kohle“,...
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Anwendung von maschinellem Lernen zur Vorhersage der Klimawandelfolgen, die durch Investitionen der Banken in fossile Brennstoffsektoren hervorgerufen werden
Bis 2050 werden wahrscheinlich Millionen von Menschen von Dürre und Wasserknappheit betroffen sein, und bereits mehrere Großstädte der Welt werden...
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A Novel Intelligence System for Hybrid Crop Suitable Landform Prediction Using Machine Learning Techniques and IoT
In a bid to increase the agricultural need of yielding a healthy and profitable production, crop yield forecasting employing machine learning and the...
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Ear-Based Detection of Driver’s Drowsiness Using Visual Features
Road accidents due to drowsiness of the driver persist very often and cause significant fatal effect on highway safety. People are injured from light...
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An Advanced Comparative Study of Ransomware Anomaly Detection Techniques Through Optimized Hyperparameters
Ransomware attacks have emerged as a challenging threat in today's digital landscape, triggering worry among individuals or businesses and causing...