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Prediction of Failure in Scania Truck Due to Air Pressure System Failure
This paper addresses the prediction of failures in the air pressure system of Scania trucks to minimize associated operating costs. A custom ensemble...
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A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks
Rumours in online social networks can significantly damage the ecosystem of the society. It is important to timely identify and control the rumor...
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An Online Algorithm for Cost Minimization of Amazon EC2 Burstable Resources
Many computational workloads do not require a constantly high CPU. They generally have occasional peak computation needs with low CPU utilization...
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Coverage Criteria Based Testing of IoT Applications
IoT applications are ubiquitous and many of them are large in scale, involving processing and storage of real-time sensor data and various events....
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A Machine Learning Driven Approach for Forecasting Parkinson’s Disease Progression Using Temporal Data
Parkinson’s disease (PD) is a prevalent neurodegenerative disease that hurts millions globally. For prompt intervention and successful therapy,...
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Scheduling of Containerized Resources for Microservices in Cloud
Most developers consider that microservice-based application design and development can improve scalability and maintainability. The microservices...
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Deep Learning in Industry 4.0: Transforming Manufacturing Through Data-Driven Innovation
Industry 4.0 is resha** manufacturing by seamlessly integrating data acquisition, analysis, and modeling, creating intelligent and interconnected...
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Online Payment Fraud Detection for Big Data
Modern economic life is now greatly facilitated by online payment systems, which allow for seamless financial transactions. However, the risk of...
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A Multi-class Classification for Detection of IoT Network Attacks Using Machine Learning Models
The adoption of IoT devices is growing due to their versatility and simplicity. The number of security risks associated with these devices has...
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An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling
Distributed Computing platforms involve multiple processing systems connected through a network and support the parallel execution of applications....
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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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An On-demand Data Delivery and Secured Platform in Cloud Computing
The need for effective and secure data delivery platforms has grown significantly in the age of cloud computing. The On-demand Data Delivery and...
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Data Stream Learning with Selective Base Learners of Ensemble Classifiers: Perspectives for Better Information Systems
The exponential growth of data-centric applications necessitates more complex data analysis methodologies capable of modeling highly dynamic and fast...