The proceedings contain 307 papers. The topics discussed include: utilization of adaptive neuro fuzzy inference system integrated unified power quality conditioner for enhancement of power quality in distribution syst...
ISBN:
(纸本)9798350333244
The proceedings contain 307 papers. The topics discussed include: utilization of adaptive neuro fuzzy inference system integrated unified power quality conditioner for enhancement of power quality in distribution system;fruit freshness detection using IoT and machine learning;power factor correction by ANN based bridgeless modified landsman converter;studies on attitude determination and control system for 1U nanosatellite;enhanced monarch butterfly optimization algorithm with rank-based selection and random jump strategy for constrained engineering problems;digital technology for ASEAN Energy;utilization of deep learning for the diagnosis of diseases in apple leaves;mixed signal design of phase frequency detector with charge pump using 130nm PDK;a review study on the impact of electromagnetic fields in the development of the brain;image segmentation and pre-processing for lung cancer detection in humans based on deep-learning;stochastic based clustering and improved whale optimization algorithm to predict sickle cell anemia in tribes of Nilgiris;and liquid biopsy for non-invasive monitoring of tumor evolution and response to therapy.
The proceedings contain 315 papers. The topics discussed include: cloud-based storage solutions for facial recognition attendance systems;machine learning approaches for proactive phishing attack detection;IoT device ...
ISBN:
(纸本)9798350372816
The proceedings contain 315 papers. The topics discussed include: cloud-based storage solutions for facial recognition attendance systems;machine learning approaches for proactive phishing attack detection;IoT device attacks, security and certification;integrated renewable energy system with ANN based MPPT for efficient power generation, wireless transmission, and energy storage in EV applications;accelerating sustainability through leveraging machine learning to analyze CSR spending in the Indian automobile industry;DDSRF theory for power quality in UPFC applications;towards a greener future: harnessing green computing to reduce ICT carbon emissions;innovative waste management: the efficiency of IoT-enabled smart bins;cataracts detection using convolution neural network;and performance enhancement of machine learning algorithms for predicting stroke.
Electric machine operation depends heavily on control techniques, which have a direct impact on the performance of the entire system. Electric machines, which have significant effects on industrial development and hum...
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The Flexible AC transmission system devices are used to address power quality problems for distributed generating systems in hopes of reducing the problem. This article has a detailed overview of the problems with ele...
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This work represents full adder proposed using Pass Transistor Logic. A complete adder's performance is determined by its consumption of power and delay. power consumption and delay are important design factors fo...
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The performance of the pulse width modulation (PWM) inverter is affected by several factors, especially the delay time between switching power devices on the same arm. This is well-known as a delay time (DT) which is ...
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Self-driving vehicles are a popular topic of research in the fields of science and technology, having a significant impact on both economic and social growth. Deep learning is currently one of the most significant fie...
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Induction motor drive systems experience shaft voltages, bearing currents, ground leakage currents due to Common Mode Voltage (CMV) created by Pulse Width Modulation (PWM) inverters, which leads to an early motor fail...
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Effective grid integration of energy sources depends heavily on digital technologies. Advanced forecasting, monitoring, and control of energy generation are made possible by them, making it easier to seamlessly incorp...
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The generation of wind power is dependent on wind speed, which can be challenging to control and predict due to its variable nature. By analysing the link between wind speed and power output, regression models for win...
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