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dSalmon: High-Speed Anomaly Detection for Evolving Multivariate Data Streams
We introduce dSalmon, a highly efficient framework for outlier detection on streaming data. dSalmon can be used with both Python and C++, meeting the...
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Caching Contents with Varying Popularity Using Restless Bandits
We study content caching in a wireless network in which the users are connected through a base station that is equipped with a finite capacity cache....
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Quantum-Enhanced Control of a Tandem Queue System
Controlling computer systems in an optimal way using quantum devices is an important step towards next generation infrastructures that will be able...
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Aspect Level Sentiment Analysis to Extract Valuable Insight for Airline’s Customer Feedback and Reviews
In the realm of decision-making, the internet plays a vital and pervasive role, serving as a conduit for individuals worldwide to express their...
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The Survival Analysis of Mental Fatigue Utilizing the Estimator of Kaplan-Meier and Nelson-Aalen
The aim of this study is to investigate mental fatigue using the Kaplan-Meier and Nelson-Aalen estimators in survival analysis. Mental fatigue is a...
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EEMS - Examining the Environment of the Job Metaverse Scheduling for Data Security
Job scheduling is one of the main barriers to achieving resource efficiency and cost-effective execution in the cloud computing environment. Finding...
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Estimation of Power Consumption Prediction of Electricity Using Machine Learning
Electricity consumption has been broadly concentrated on in the PC engineering field since numerous years. While the securing of energy as an action...
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IoT-Based Pesticide Detection in Fruits and Vegetables Using Hyperspectral Imaging and Deep Learning
Fruits and vegetables contain rich nutrients and vitamins. So that they are part of our daily diet. For proper cell growth and health, we need these...
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Implementation and Performance Evaluation of Asymmetrical Encryption Scheme for Lossless Compressed Grayscale Images
The employment of compression and encryption methods enables the transmission of images across a communication link with less bandwidth consumption...
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Equalization Based Soft Output Data Detection for Massive MU-MIMO-OFDM Using Coordinate Descent
For the next generation of wireless communication networks to advance, massive multi-user multiple-input multiple-output orthogonal frequency...
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Investigation of Highly Sensitive and Linearly Responsive SAW Based Gas Sensor for Better N2 Detection
Surface acoustic wave sensors are becoming more and more essential in research. The research has advanced in such a way that SAW sensors are now used...
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Efficient Quality Factor Prediction of Artificial Neural Network Based IsOWC System
This paper presents a novel approach utilizing an artificial neural network (ANN) for optical wireless communication (OWC) between satellites in...
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Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water Using IoT
One of the main substances that significantly affects ecosystems is water. Unfortunately, with increased urbanization, sewage, abstraction of...
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Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning
This research paper presents a distributed architecture for optimized route planning and precise circle detection in unmanned aerial vehicle with...
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Comparative Analysis of PWM Methods for Three Level Neutral Point Clamped Inverter
In present scenario renewable energy sources are crucial and they taking lead to supply power to the consumers. These renewable energy sources mostly...
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Model Predictive Control (MPC) and Proportional Integral Derivative Control (PID) for Autonomous Lane Kee** Maneuvers: A Comparative Study of Their Efficacy and Stability
The escalating frequency of fatal crashes has led to an enhanced focus on road safety, resulting in the creation of diverse driver assistance...
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Equilibrium Analysis of Customer Attraction Games
We introduce a game model called “customer attraction game” to demonstrate the competition among online content providers. In this model, customers...
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The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences
We study the problem of fairly allocating indivisible goods (positively valued items) and chores (negatively valued items) among agents with...
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The Importance of Knowing the Arrival Order in Combinatorial Bayesian Settings
We study the measure of order-competitive ratio introduced by Ezra et al. [16] for online algorithms in Bayesian combinatorial settings. In our...
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Online Nash Welfare Maximization Without Predictions
The maximization of Nash welfare, which equals the geometric mean of agents’ utilities, is widely studied because it balances efficiency and fairness...