Best Engineering College in Greater Noida - GN Group of Institutes.pptx
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GN Group of Institutes is one of the Top Engineering Colleges in Greater Noida. GN Group of Institutes currently offers B.Tech programmes in Civil, Computer Science, Mechanical Engineering, Information Technology and Artificial Intelligence. To help students learn more, GN Group of Institutes, one of the best colleges in greater noida for engineering, organises conclaves, seminars, and regular academic work. Find out more about the most prestigious private best engineering college in greater noida.
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Best Engineering College in Greater Noida - GN Group of Institutes.pdf
GN Group of Institutes is one of the Top Engineering Colleges in Greater Noida. GN Group of Institutes currently offers B.Tech programmes in Civil, Computer Science, Mechanical Engineering, Information Technology and Artificial Intelligence.
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Candidates should
possess the requisite Essential
Qualification and valid GATE
score
1.2. ADDITIONAL REQUIREMENTS
For Subjects/Disciplines in Part-I of Table 1
Category II: Candidates from IITs/NITs with 80% or more marks in Essential Qualification are exempted from GATE
For PwD candidates: Shortlisting will only be done through GATE score and not through Written Examination
2. SELECTION PROCESS
Part-I disciplines: Based on valid GATE score, Written Examination and Personal Interview
Part-II disciplines: Based on valid GATE score and Personal Interview
3. IMPORTANT D
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advt_140_v3.pdf
Candidates should
possess the requisite Essential
Qualification and valid GATE
score
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For Subjects/Disciplines in Part-I of Table 1
Category II: Candidates from IITs/NITs with 80% or more marks in Essential Qualification are exempted from GATE
For PwD candidates: Shortlisting will only be done through GATE score and not through Written Examination
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Part-II disciplines: Based on valid GATE score and Personal Interview
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
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A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
The Python for beginners. This is an advance computer language.
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Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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