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Enhancing Road Safety and Efficiency in Vehicular Ad-Hoc Networks Through Anomaly Detection and Traffic Prediction Using Big Data Analytics
Nowadays, the processing of big data has become essential to extract valuable information from vast amounts of data generated by various systems....
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IoT-SyringeX: A Cutting-Edge Solution for Automated Injection Pumps
The IoT-SyringeX project presents a state-of-the-art solution for automating injection pumps through the integration of cutting-edge IoT technology....
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Automatic Disease Detection for Various Plants Leaf Using Image Processing Techniques and TensorFlow Algorithm
In India, agronomy industry needs automation for monitoring the overall farm and plant health as due to the presence of plants’ diseases and...
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Anticipating Graduate Program Admission Through Implementation of Deep Learning Models
Acceptance into a graduate program must be part of a student’s academic journey. Every year, a huge number of people apply to schools and...
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Fusing Management and Deep Learning to Develop Cutting-Edge Conversational Agents
The use of conversational agents is recognized as a significant technological achievement that makes use of recent advances in machine learning and...
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Water Quality Classification Using Machine Learning Techniques
There is no life without water. All humans, plants, and animals need water to live. It is important to know if drinking water, a resource of human...
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A Firebase-Based Smart Home Automation System Using IoT
The rapid development of IoT and its associated hardware and software systems has facilitated the design, development, and implementation of smart...
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Market Operation for Reactive Power Ancillary Service Design and Analysis with GAMS Code
This book provides a framework suitable for the design and analysis of market mechanisms suitable for reactive power ancillary service. The book...
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Power Engineering and Intelligent Systems Proceedings of PEIS 2023, Volume 1
The book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft...
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Deep Convolutional Neural Network for Power System N-1 Contingency Screening and Cascading Outage Screening
In this chapter, a data-driven method is proposed for fast N-1 contingency screening and further cascading outage screening in power systems. The...
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Summary and Future Works
This chapter gives a brief summary of the research works from Chaps. 2 , 3...
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Intelligent Multi-zone Residential HVAC Control Strategy Based on Deep Reinforcement Learning
In this chapter, a novel data-driven method, which is called the deep deterministic policy gradient (DDPG), is applied for optimally controlling the...
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Introduction: A Brief History of Deep Learning and Its Applications in Power Systems
This chapter gives a brief introduction to the history of deep learning and the associated concepts. One step further, various deep learning...
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Deep Neural Network for Microgrid Management
In this chapter, an intelligent multi-microgrid (MMG) energy management method will be proposed based on deep neural network (DNN) and model-free...
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Adaptive Multi-resolution Simulations of Cascaded Converters
This paper presents an efficient modeling strategy for fast and accurate simulation of cascaded power electronic converters. The computational cost...
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An Automated Two-Stage Brain Tumour Diagnosis System Using SVM and Geodesic Distance-Based Colour Segmentation
In the medical profession, brain tumour is a very crucial illness. A brain tumour is an unwanted mass growing in the brain cells; if it’s not...
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The Challenge of Recognizing Artificial Intelligence as Legal Inventor: Implications and Analysis of Patent Laws
Innovations in AI have altered various industries, changed how we think of plausible solutions for any problem, and allowed us to create products,...
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Energy-Efficient Cluster Head Election and Data Aggregation Ensemble Machine Learning Algorithm
Data transmission and communication in mobile wireless sensor networks are hindered due to the limited energy of the sensor node. This causes various...
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Detection of FDI Attacks on Power Grid Using Graph-Theoretical Methods
Smart grid is a reliable and efficient system for electrical power distribution in recent years. One of the drawbacks of this grid is its...
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Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card
Hackers are inventing novel strategies to breach the encrypted information of practically all existing cryptographic algorithms, and therefore...