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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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Solutions to Data Protection Challenges in Distributed Ledger and Blockchain Technologies: A Combined Legal and Technical Approach
Blockchains and distributed ledgers have attracted increasing attention since the introduction of the Bitcoin blockchain. The ability to run...
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The Role of Eco-Driving and Wearable Sensors in Industry 4.0
This study investigates the relationship between drivers’ electrodermal activity (EDA) and their eco-driving behaviours through real-time monitoring....
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A Conceptual Implementation Process for Smart Maintenance Technologies
Industry 4.0 is usually presented as usage of technologies. Some of these play an important role in the development of smart maintenance...
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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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A Bayesian Network for Classifying and Predicting Ship Collision
Ship collisions are the type of accident with the highest percentage of investigations, making them the type of accident with a high variation in...
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Comparative Analysis of Emotion Recognition Using Large Language Models and Conventional Machine Learning
Emotions are significant aspects of human existence and influence interaction between individuals and groups, influencing how we think and behave. In...
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Tracking High Potential Transmission Risk Spots of Infectious Disease Using Spatial Social Network Analysis and Visualisation (SSNAV) Techniques
The risk map for infectious disease shows the importance of the Geographical Information System (GIS) and spatial social network analysis and...
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The Performance of GPT-3.5 in Summarizing Scientific and News Articles
In the age of information, we are overwhelmed with large amounts of data. The quest to know more in less time has increased the need for efficient...
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Multivariate Comparative Analysis of Statistical and Deep Learning Models for Prediction Hardware Failure
The twenty-first century is witnessing a transformative shift toward digitalization, where various services are undergoing a paradigm change from...
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Probabilistic Seismic Hazard Analysis for Sulawesi-Maluku Region of Indonesia Using the Space–Time Epidemic-Type Aftershock Sequence Model
Sulawesi and Maluku are the only regions in Indonesia where three major plates (Eurasian, Indo-Australian and Pacific) meet, resulting in the most...
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Small Area Estimation of Mean Years of Schooling Under Time Series and Cross-sectional Models
Small area estimation develops within the framework of time series and cross-sectional models. The restricted estimation maximum likelihood method...
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Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equation
The palm oil industry in Malaysia is encountering challenges that need innovative and technology-driven solutions. This study focuses on palm tree...
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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...