Volume 11 | Issue 7 |

 Abstract

This paper introduces a novel hybrid classifier designed to achieve rapid and efficient face recognition by leveraging Local Binary Pattern (LBP) algorithms. Our proposed approach capitalizes on the strengths of LBP-based feature extraction methods while incorporating different classifiers, such as Support Vector Machine (SVM) and Random Forest (RF), to enhance recognition performance. The process involves extracting LBP features from the input face image, which are then utilized as input to the classifiers. By combining these elements, our hybrid classifier achieves high accuracy in face recognition while significantly reducing computational complexity and processing time compared to traditional LBP-based methods. To validate the effectiveness of our approach, we conducted experiments on publicly available face recognition datasets. The experimental results confirm the superiority of our hybrid classifier, making it a suitable choice for real-time face recognition applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition, High accuracy using hybrid classifier SVM+RF, Local binary patterns (LBPs) for Feature Extraction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEY WORDS: Knee osteoarthritis Kinesiophobia WOMAC TAMPA scale of Kinesiophobia

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Creative Commons Attribution 4.0 and The Open Definition

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With the rapid evolution of technology and the increasing dependence on digital infrastructure, cybersecurity has become a critical concern for individuals, organizations, and governments. This paper aims to provide a comprehensive review of emerging cybersecurity threats and the countermeasures employed to mitigate these risks. The study investigates the current landscape of cyber threats, including malware, ransomware, social engineering attacks, and advanced persistent threats (APTs). It explores the evolving tactics and techniques used by cybercriminals and highlights the potential impact on various sectors, such as finance, healthcare, and critical infrastructure. Moreover, the paper examines the existing cybersecurity frameworks, policies, and best practices implemented to safeguard against these threats. The paper further evaluates the effectiveness of technological advancements, such as artificial intelligence (AI), machine learning, and blockchain, in enhancing cybersecurity defenses. Finally, it presents recommendations for future research directions and proactive measures to combat emerging cyber threats effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cybersecurity, Emerging Threats, Countermeasures, Malware, Ransomware, Social Engineering, Advanced Persistent Threats, Artificial Intelligence, Machine Learning, Blockchain.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A high quality of work life (QWL) is essential for organizations to continue to attract and retain employees. QWL is a comprehensive program designated to improve employee satisfaction The concept of quality of work life is crucial and plays a significant role in an employee's life. A healthy balance between work and personal life is a sign of a quality work life, which also ensures organizational efficiency and employee job satisfaction. The goal of this study was to identify the significant and influential aspects that affect employees' quality of work life. A procedure in an organization that enables its members at all levels to actively and successfully participate in influencing the organizational environment, processes, and outcomes is known as quality of work life. The subject matter of QWL, including its essential components like job security, job performance, employee satisfaction, etc., is the focus of this study. According to the study's findings, a good organizational culture, remuneration policy, career development, and relative facilities can leads to a satisfied employee mindset which ensure the overall organization productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quality of work life, job performance, employee satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has necessitated the development of safe and effective vaccines to manipulate the unfold of the SARS-CoV-2 virus. Covaxin, an inactivated virus-based totally vaccine evolved through Bharat Biotech, has emerged as a promising candidate on this worldwide attempt. This summary offers a succinct review of Covaxin, that specialize in its components, mechanism of motion, efficacy, safety profile, and international deployment. Covaxin is formulated the usage of inactivated SARS-CoV-2 virus particles, rendering them incapable of replication while maintaining their ability to stimulate an immune response. by using introducing the inactivated virus into the body, Covaxin triggers an immune reaction that primes the immune device to recognize and neutralize the real SARS-CoV-2 virus upon exposure. The vaccine consists of adjuvants to decorate the immune response. Covaxin is formulated the usage of inactivated SARS-CoV-2 virus particles, rendering them incapable of replication while maintaining their ability to stimulate an immune response. by using introducing the inactivated virus into the body, Covaxin triggers an immune reaction that primes the immune device to recognize and neutralize the real SARS-CoV-2 virus upon exposure. The vaccine consists of adjuvants to decorate the immune response. clinical trials have proven Covaxin to be effective in stopping COVID-19. segment three trials carried out in India have confirmed an usual efficacy of around eighty one%, indicating its ability in decreasing the severity of the ailment and its impact on healthcare structures. Covaxin has also displayed immunogenicity, generating a strong antibody response in opposition to the SARS-CoV-2 spike protein. safety is a crucial attention, and Covaxin has gone through rigorous assessment to make certain its pleasant and reduce adverse effects. segment 3 medical trials have stated a favourable protection profile, with most people of unfavourable events being moderate and temporary, along with localized ache and mild flu-like signs. serious adverse occasions had been uncommon, underscoring the vaccine's general protection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classifications Causes of Covid - 19 Diagnosis Tests Factors Contributing to Development of Covaxin Treatment of Covid-19 by Covaxin Vaccine Use of Covaxin Vaccine

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A cosmological model is a mathematical description of the universe, which tries to explain the reason of current aspect, and to describe its evolution during time. The universe is homogeneous and isotropic. In this paper we have studied Bianchi Type- V cosmological model in presence of perfect fluid within the frame work of f(R,T) gravity, where R is Ricci scalar and T is the trace of the source matter. Here we consider first case of the f(R,T) model i.e. f(R,T)=R+2f(T), it is also possible to make progress towards solving the cosmological constant problem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bianchi type-V universe, f(R,T) theory, deceleration parameter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has developed into a forum where users may express their views and object to the decisions made by corporations and the government. Every internet user has the ability to express themselves on these sites. India's government recently approved three acts pertaining to farmers, which are being opposed by the country's citizens, especially its farmers. The farming community and other related communities are alarmed by the way these crimes are being carried out. At least 70% people in India have utilized social media platforms to express their displeasure with these acts and to voice their opposition to them. In more than one language, various communities have voiced their feelings over these acts. It is currently challenging for scholars to study the attitudes on these platforms due to the blending of many languages and grammatical systems. This study uses a statistical technique to analyze mood, emotion, and emoji in a collection of English-language tweets on farmers' protests. The performance and accuracy of the Models are also a major focus of this work.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment, Emoji , Emotion Analysis, Statistical technique

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A 7years old child admitted in pediatric ward with chief complaints of fever since morning, one episode of seizure activity ,10 episodes of stools. febrile seizures are the most frequent of seizure disorder in childhood. evaluated in OP showed the result of febrile seizures. She has a past history of developed loose stools sudden onset of watery inconsistency. But not blood tinged or not associated with vomiting's. Then in the morning she developed sudden onset of high grade fever, which is relieved on medication. It is associated with rash,1 episode of seizures activity. The sign include ;up rolling of eyes, fisting of hand. But not associated with deviation of mouth, and no urine incontinence. No signs of dehydration was found. Initial investigation were done. Then she was started with IVF ( RL-23ml/hr.),antibiotics (ceftriaxone), benzodiazepines ( frisium, midazolam) probiotic(enterogenia).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FS(febrile seizures), LP( lumbar puncture), MTS ( mesial temporal sclerosis).

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Creative Commons Attribution 4.0 and The Open Definition

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Walking is a fundamental human movement that plays a vital role in daily life. To understanding the energy expenditure associated with various pace walk is essential for designing effective exercise programs and promoting health and well-being. This research article provides a broad review of the current scientific literature on energy expenditure through the pace of walking. It examines the factors influencing energy expenditure during walking and explores the implications for physical fitness, weight management, and cardiovascular health. It also confers the potential implication of this knowledge in various fields, such as exercise prescription, public health interventions, and wearable technology development. This aims to investigate the energy expenditure associated with different walking paces and provide a comprehensive analysis of the relationship between pace and energy expenditure.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MET, Walk, paces, energy expenditure, metabolic rate.

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Creative Commons Attribution 4.0 and The Open Definition

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Facial expression recognition is a crucial aspect of understanding customer emotions in various domains, including e-commerce. This study proposes a real-time facial expression recognition system utilizing a Convolutional Neural Network (CNN) algorithm specifically designed for analyzing customer feedback on e-commerce websites. The proposed system is integrated into the feedback analysis module of an e-commerce website to enable real-time monitoring of customer emotions. By analyzing facial expressions, the system can provide valuable insights into customer satisfaction, frustration, or other emotions while navigating the website. This information can then be used to improve the overall user experience, identify potential issues, and optimize the site's design and functionality

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional neural network, Deep neural networks, Deep structured learning, Machine learning

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Creative Commons Attribution 4.0 and The Open Definition