IRJEAS

INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES

ISSN 2322-0821(E), ISSN 2394-9910(P)

An ISO 9001:2015 Certified Publication

Volume 11 Issue 4                        October-December 2023

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Fake News Detection Using Machine learning Technique : A Review

DOI: https://doi.org/10.55083/irjeas.2023.v11i04001

Country- INDIA

Priya Ahirwar, Vaibhav Patel, Anurag Shrivastava

PAPER ID: IRJEAS04V11I4001

Published: October 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 01-07

Keywords: CNN, Deep Learning, Face Recognition, Face Detection, Gender Classification, ML/ Machine Learning, Recurrent neural network (RNN), Pre-processing, Feature Selection

Abstract:

Age and gender recognition using deep learning techniques has gained significant attention due to its potential applications in various domains, such as human-computer interaction, surveillance systems, and personalized marketing. This paper presents a comprehensive review of the existing literature on age and gender recognition using deep learning techniques. The review encompasses different approaches, including Convolutional neural networks (CNNs), recurrent neural networks (RNNs), and hybrid models. Various datasets used for training and evaluation are discussed, along with their strengths and limitations. Furthermore, the paper analyzes the performance metrics commonly employed for evaluating age and gender recognition systems, such as accuracy, precision, recall, and F1 score. Challenges and open research directions in this field are also identified, including improving robustness to variations in lighting conditions, facial expressions, and occlusions. The insights gained from this review contribute to the understanding of state-of-the-art techniques and pave the way for future advancements in age and gender recognition using deep learning.

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Priya Ahirwar et.al. “Fake News Detection Using Machine learning Technique : A Review.” International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  01-07, 2023. https://doi.org/10.55083/irjeas.2023.v11i04001

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A Review on Age and Gender Recognition using Deep learning Techniques

DOI: https://doi.org/10.55083/irjeas.2023.v11i04002

Country- INDIA

Poonam Parihar, Vaibhav Patel, Anurag Shrivastava

PAPER ID: IRJEAS04V11I4002

Published: October 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 08-12

Keywords: Machine learning, NLP, fake news classification, social networks

Abstract:

The proliferation of fake news has become a significant challenge in the digital era, threatening the credibility of information shared online. To combat this menace, researchers have turned to machine learning techniques for automated detection. This paper presents a comprehensive review of various machine learning approaches employed for fake news detection. We analyze a wide range of methodologies, including supervised, unsupervised, and deep learning algorithms, discussing their strengths and limitations. Moreover, we examine the datasets and evaluation metrics commonly used in this domain. By synthesizing existing research, we identify key trends and promising directions for future investigations. The review aims to provide a comprehensive understanding of the state-of-the-art in fake news detection using machine learning, fostering advancements in this critical field of research.

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Poonam Parihar et.al. “A Review on Age and Gender Recognition using Deep learning Techniques.” International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  08-12, 2023. https://doi.org/10.55083/irjeas.2023.v11i04002

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Effects of Water-Soluble Organic Co-Solvents on the Metabolic Kinetics of Drugs in Rat Liver Microsomes

DOI: https://doi.org/10.55083/irjeas.2023.v11i04003

Country- INDIA

  Dr. Anurag Singh

PAPER ID: IRJEAS04V11I4003

Published: October 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 13-18

Keywords: Rat liver microsomes, Cytochrome450, enzyme kinetics, p-nitrophenol, phenacetin, metoprolol, methanol, acetonitrile, dimethyl sulphoxide, high-performance liquid chromatography.

Abstract:

The objective of this research was to investigate the influence of various water-miscible organic co-solvents (namely, methanol, acetonitrile, dimethyl sulfoxide, and dioxane) on the kinetic properties of enzymes in rat liver microsomes responsible for drug metabolism. Our investigation uncovered that the impact of these co-solvents on enzyme activity was contingent on both the specific metabolic pathway involved and the concentration of the co-solvent employed.Methanol and dimethyl sulfoxide exhibited a significant increase in the Km value for p-nitrophenol hydroxylation, whereas acetonitrile exhibited activation of this particular metabolic pathway. Intriguingly, dioxane resulted in a notable elevation in the Km value for metoprolol metabolism, while acetonitrile reduced the Km value for the formation of metabolite 3.Furthermore, our findings indicated that the Vmax/Km ratio was substantially affected by dimethyl sulfoxide and dioxane, suggesting their unsuitability for characterizing reactions mediated by Cytochrome P450 enzymes. Conversely, methanol and acetonitrile were identified as suitable solvents for solubilizing substances metabolized by Cytochrome P450 enzymes, provided their concentration did not exceed 0.5% v/v.In summary, our study provides insights into the potential repercussions of water-miscible organic co-solvents on enzyme kinetics and underscores the critical importance of judiciously selecting appropriate solvents when investigating the in vitro metabolism of drugs.

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Dr. Anurag Singh. Effects of water-soluble organic co-solvents on the metabolic kinetics of drugs in rat liver microsomes. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  13-18, 2023. https://doi.org/10.55083/irjeas.2023.v11i04003

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Response Surface Methodology-Based in Vitro and in Vivo Evaluation of Nsaid-Loaded Eudragit Microspheres

DOI: https://doi.org/10.55083/irjeas.2023.v11i04004

Country- INDIA

  Dr. Sandeep Sharma

PAPER ID: IRJEAS04V11I4004

Published: October 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 19-25

Keywords: Aceclofenac, Eudragit RS-100, FTIR, NSAID.

Abstract:

This research study aimed to develop and characterize extended-release microspheres containing the nonsteroidal anti-inflammatory drug (NSAID) Aceclofenac, utilizing the Eudragit RS-100 polymer. The fabrication of these microspheres employed a single emulsion [oil-in-oil] solvent evaporation technique, with the investigation of three independent variables (polyvinyl acetate, polymer, and stirring speed) utilizing Design-Expert® Software and response surface methodology. The study focused on evaluating three dependent variables: encapsulation efficiency, vesicle size, and cumulative drug release. Various analytical techniques, including X-ray powder diffraction, Fourier transform infrared spectroscopy, particle size measurement, and field emission scanning electron microscopy, were employed to analyze the microspheres. Moreover, the formulation’s safety and effectiveness were confirmed through in vitro and in vivo drug release experiments. The findings revealed that the microspheres possessed a spherical morphology with a smooth surface and an average particle size of 45±1.23µm. The encapsulation efficiency percentage ranged from 56±0.82 to 82±0.65, while the percent cumulative drug release ranged from 57±5.6 to 74±4.6. Importantly, the Eudragit RS-100 polymer exhibited a sustained drug release profile lasting up to 14 hours, resulting in superior and prolonged anti-inflammatory effects compared to pure Aceclofenac.

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Dr. Sandeep Sharma. Response surface methodology-based in vitro and in vivo evaluation of nsaid-loaded eudragit microspheres. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  19-25, 2023. https://doi.org/10.55083/irjeas.2023.v11i04004

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Machine Learning Based Customer Churn Prediction Using Improved Feature Selection Techniques

DOI: https://doi.org/10.55083/irjeas.2023.v11i04005

Country- INDIA

  Dr. Manish Kumar Sharma, Vaibhav Patel, Anurag Shrivastava

PAPER ID: IRJEAS04V11I4005

Published: October 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 26-36

Keywords: Machine Learning, Customer churn prediction, Churn in telecom, Feature selection, Classification.

Abstract:

In the contemporary, fiercely competitive business environment, the retention of customers holds utmost significance for the continued growth and profitability of companies. Customer churn, which entails the defection of customers to rival services, stands out as a critical and prevalent challenge in a variety of sectors, spanning from telecommunications to e-commerce. This study delves into the realm of customer churn prediction, presenting an innovative approach that leverages machine learning and advanced feature selection techniques. The research utilizes a comprehensive dataset encompassing customer attributes, historical behavior, and churn labels. Employing state-of-the-art machine learning algorithms, including decision trees, random forests, and support vector machines, a predictive model is developed to identify potential churners accurately. The distinctive aspect of this study lies in its feature selection methodology, which integrates recursive feature elimination (RFE) with feature importance ranking. This hybrid approach refines the feature set, eliminating irrelevant or redundant variables, thereby enhancing model efficiency and interpretability. Empirical results showcase the effectiveness of the enhanced feature selection approach in improving predictive accuracy and model performance.

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Manish Kumar Sharma et.al. Machine Learning Based Customer Churn Prediction Using Improved Feature Selection Techniques. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  26-36, 2023. https://doi.org/10.55083/irjeas.2023.v11i04005

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A Systematic Review on Recent Advancement in Electric Vehicle Technologies

DOI: https://doi.org/10.55083/irjeas.2023.v11i04006

Country- INDIA

Shailendra Kumar Mittal, Pragati Korde, Shenbagalakshmi Palaniraja,
Nikita Omase, Pabitra Guchhait, Prateek Mundra

PAPER ID: IRJEAS04V11I4006

Published: November 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 37-44

Keywords: Electric Vehicles, Emerging Technologies, Sustainability, Battery Technology, Environmental Impact

Abstract:

The automotive industry is undergoing a transformative shift towards electric vehicles (EVs) in response to environmental concerns and sustainability imperatives. This paper provides brief information about emerging technologies that are propelling this transition, shaping the future of sustainable transportation. Charging infrastructure developments have made EVs more practical and accessible to consumers. Artificial intelligence is playing a pivotal role in optimizing electric vehicle performance. The adoption of these emerging technologies not only extends the driving range of EVs but also brings about significant environmental benefits. This paper highlights the incredible potential of electric vehicles to revolutionize the automotive industry and address pressing environmental challenges, offering a promising vision of a more sustainable and eco-friendly transportation sector.

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Shailendra Kumar Mittal. A Systematic Review on Recent Advancement in Electric Vehicle Technologies. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp.  37-44, 2023.10.55083/irjeas.2023.v11i04006

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Hybrid Energy Generation System with Brushless Generators

DOI: https://doi.org/10.55083/irjeas.2023.v11i04007

Country- INDIA

Aaradhna Soni

PAPER ID: IRJEAS04V11I4007

Published: November 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 45-56

Keywords: Micro grid, PMBLDC, Power quality, Voltage regulation, Hybrid Renewable Power Generation Introduction

Abstract:

With the capacity extension of the grid to remote areas. The discovery and usage of interconnected power production using alternative power supply sources has been promoted. This article proposes a fulfillment with the use of Voltage Source Converter (VSC) and brushless generators with a standalone micro grid topology. With numerous Renewable Energy Sources (RES), including solar PV and wind the micro grid device is energized. However, to ensure the system’s stability, a Diesel Generator (DG) collection and a Battery Energy Storage System (BESS) are also used. The topology suggested has the benefit of less few switches and easy power. The structure applied has been fixed as an AC supply by DG. The wind and PV sources are DC sources related to the VSC DC connection. At the DC connection, the BESS is often used to promote the instantaneous equilibrium of power under complex conditions. The VSC further has the potential to alleviate power quality challenges such as harmonics, voltage control and load balancing, in addition to system integration. To illustrate all the capabilities of the proposed method, a good range of Mat lab/Simulink yield outcomes are conferred.

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Aaradhna Soni. Hybrid Energy Generation System with Brushless Generators. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp. 45-56, 2023.10.55083/irjeas.2023.v11i04007

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The Role of Ionic Liquids in Green Solvent Chemistry: Properties and Applications

DOI: https://doi.org/10.55083/irjeas.2023.v11i04009

Country- INDIA

Ishank Jhanji

PAPER ID: IRJEAS04V11I4009

Published: November 2023

Journal: IRJEAS, Volume 11, Issue 4

Pages: 57-67

Keywords: Ionic Liquids, Green Solvent Chemistry, Sustainability, Catalysis, and Environmental Advantages

Abstract:

Ionic liquids have gained significant attention in recent years as environmentally friendly and versatile solvents. This research paper delves into the properties and applications of ionic liquids in the context of green solvent chemistry. We explore the unique characteristics of these solvents, including their low vapor pressure, wide liquids range, and tunable properties, which make them an attractive choice for various applications. The paper also highlights the environmental advantages of ionic liquids, such as their negligible volatility, non-toxic nature, and recyclability, all contributing to their role in sustainable chemistry practices. Furthermore, we discuss their diverse applications, ranging from catalysis and extraction to energy storage and materials synthesis. Through an in-depth analysis of recent developments and case studies, this paper aims to provide a comprehensive overview of how ionic liquids are shaping the landscape of green solvent chemistry and contributing to a more sustainable future.

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Ishank Jhanji. Hybrid Energy Generation System with Brushless Generators. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(4), pp. 57-67, 2023.11.55083/irjeas.2023.v11i04009