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IOT-Based Water Quality Monitoring for the Tigris River: Addressing Pollution Challenges
The Tigris River is a second-largest river in southwestern Asia, flowing through Turkey, Syria, Iraq, and Iran. The river is facing lack of water... -
Crimes Tweet Detection Based on CNN Hyperparameter Optimization Using Snake Optimizer
The increased use of social media has transformed how people share information. In the voluminous social media content, tweets involving criminal... -
A New Approach to Design KM1 Encryption Algorithm for Alarm in IoT
The research introduces a hybrid encryption system for parallel computing environments, focusing on safeguarding IoT image data for fire incident... -
A Robust Image Cipher System Based on Cramer-Shoup Algorithm and 5-D Hyper Chaotic System
The presented study suggests a novel image encryption method depending on a modified Cramer-Shoup encryption algorithm and a 5D hyper chaotic system.... -
Adaptive Evolutionary Algorithm for Maximizing Social Influence
Influence Maximization (IM) is an issue that is represented by a predetermined group of users, sometimes referred to as the seed. The latter can have... -
Enhancing Data Security with a New Color Image Encryption Algorithm Based on 5D Chaotic System and Delta Feature for Dynamic Initialization
This research introduces an innovative color image encryption algorithm that uses a 5D chaotic system and delta feature to modify the initial... -
Hybrid Edge Detection and Singular Value Decomposition for Image Background Removal
Image background removal is a crucial technique for enhancing the visual impact of images or altering their composition, finding applications in... -
Authentication System Based on Zero-Knowledge Proof Employing the Rabin Cryptosystem and a Secret Sharing Schema
Passwords play a significant role in the authentication process for web applications. These applications are widely employed to deliver a diverse... -
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... -
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... -
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... -
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.... -
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,... -
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... -
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... -
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... -
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... -
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.... -
Focal-Based Deep Learning Model for Automatic Arrhythmia Diagnosis
This paper approaches a new model for arrhythmia diagnosis based on short-duration electrocardiogram (ECG) heartbeats. To detect 8 arrhythmia classes... -
MonoWeb: Cardiac Electrophysiology Web Simulator
Computational modeling emerged to address scientific problems by develo** mathematical models for their description and creating computational...