Volume 11 | Issue 12 |

 Abstract

Malware detection and analysis have become critical in today's digital landscape, where cyber threats and attacks are on the rise. This abstract focuses on the importance of detecting and analyzing malware, which is software designed to disrupt, damage, or gain unauthorized access to computer systems. Malware detection involves identifying and preventing the presence of malicious software on a system. It is a crucial process for ensuring the security and integrity of digital infrastructure and sensitive data. By utilizing various techniques such as signature-based detection, behavior-based detection, and heuristic analysis, malware detection tools aim to catch and eliminate known and malicious code. Malware analysis goes a step further by dissecting malware samples to understand their behavior, capabilities, and origins. This process helps security professionals gain insights into how malware operates and devise effective countermeasures. It involves techniques like static analysis, dynamic analysis, and reverse engineering to study the malicious code's workings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Malware detection, malware analysis, signature-based detection, behavior-based detection, and dynamic analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Gender inequality is the social phenomenon in which men and women are not treated equally. Citizenship is not just a certain status defined by a set of rights and responsibilities. Citizenship should be inclusive, incorporating the interests and needs of all citizens. A gender perspective on citizenship begins with an assertion of the rights of all women and men to equal treatment. Citizenship should also be an active concept, beyond mere status and formal rights. Much of the literature on gender and citizenship discusses the structural constrains that women face in exercising citizenship rights, in terms of law, policies and formal public divergences in many feminist theories. Many writers such as Marshall, Manu and Turner discuss the citizenship issues but unfortunately the absence of gender issue in citizenship debate is almost a key feature of their writings. The paper argues the citizenship cannot be understood without gender relation. Citizenship is an inclusive concept encompassing both men and women.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Inclusive, Perspective, Assertion, Constrain, Integrated, Divergence.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

??????? ?? ?????????? ???? ?? ?? ??? ????????? ???? ???? ??? ?? ??? ?? ????? ???? ???? ??? ???? ?? ??????? ???? ?? ?? ??????? ??????? ??? ??? ?? ?????? ?? ??? ????-???? ???? ??? ???? ?? ?? ???? ?????? ??????? ?? ???? ??, ?? ?????? ?? ???? ??? ???? ???? ?? ??? ???? ???? ??? ???. ???? ??? ?? ?? ??????? ?? ???? ??? ??? ????? ??????? ?? ?????? '??????? ?? ?????? ??' ?? ????? ???? ??? ???? ?? ?? -"??????? ??? ???????? ?? ??? ?????????? ?? ????????????? ?? ????? ??? ...........??????? ???????? ?? ?? ???' ???????? ?? ????? ?? ?????? ??????? ?? ????????? ???? ???? ???? ???? ??? ?????? ????????????? ?? ????????? ?? ?????? ?? ?????? ?? ???????? ?? ????? ??? ???? ??? ??? ?? ??????????? ?? ????? ?? ???????? ???? ??? ??????? ?? ?????? ?? ?? ??????? ?? ????????? ?? ??? ???????? ??? ?? ????????? ??? ???????????? ??? ???? ??? ???? ?????? ???????????? ?? ??????????? ?? ??? ????????? ??? ?? ????? ???? ??? 19??? ??? ??? ?????? ????????? ?? ????? ???? ??????? ?? ??? ?? ???????? ???? ?? ????????? ???? ???? ???????, ???? ?? ??????? ??? ??? ???? ???????? ?? ??? ???? 19??? ??? ??? ??????? ?? ????????? ?? ?? ??? ??? ?? 21??? ??? ??? - ??? ?????????? ??? ????????? ???? ???? ?? ??? ???? ?? ???????? ?? ??? ????? ??? ???? ????? ?? ???? ??? ?? ????? ??? ?? ?? ????? ?? ??? ???? ???? ?? ?? ?????????? ??? ?????? ?? ???? ?? ?????? ?? ????? ?? ??? ?? ???? ??? ??????????? ?? ??? ??? ???? ????? ?? ??? ????? ??????? ??? ??? ?? ??? ???? ???? ??? ????????? ?? ??????? ????????? ??????? ?? ???? ???? ??? ????????? ?? ?? ??? ??? ?????????? ?? ??????????? ?? ????? ??? ??????? ?? ???? ?? ?? ????? ????? ?? ?????? ??? ??? ??? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

??? ?????- ???????, ????????, ????????? ????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A machine learning-based intrusion detection system is a security tool that utilizes advanced algorithms to automatically detect and respond to suspicious activities within a computer network. It employs machine learning techniques to analyze network traffic patterns, identify anomalies, and distinguish between normal and abnormal behavior, thereby enhancing the network's security and threat detection capabilities. A machine learning-based intrusion detection system is a security tool that utilizes advanced algorithms to automatically detect and respond to suspicious activities within a computer network. It employs machine learning techniques to analyze network traffic patterns, identify anomalies, and distinguish between normal and abnormal behavior, thereby enhancing the network's security and threat detection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Glaucoma is a chronic and progressive eye disease characterized by optic nerve damage and gradual loss of vision. Early detection and timely intervention are critical to preventing irreversible vision impairment. In recent years, advancements in machine learning, particularly Convolutional Neural Networks (CNNs), have shown promise in automated glaucoma detection through the analysis of retinal images. This study proposes a robust glaucoma detection framework that integrates image enhancement techniques like Retinex, state-of-the-art CNN architectures, and statistical methodologies such as Design of Experiments (DOE). The Retinex enhancement process is employed to improve the quality and contrast of fundus images, enhancing the subsequent CNN-based feature extraction. CNNs, designed to identify distinctive patterns and features indicative of glaucoma, are optimized using DOE to achieve enhanced detection performance. The proposed framework exhibits a high degree of accuracy, sensitivity, and specificity, making it a potential candidate for effective glaucoma screening and diagnosis. The integration of image enhancement, deep learning, and statistical optimization in this framework underscores the significant potential for advancements in glaucoma detection, aiding ophthalmologists in early diagnosis and appropriate patient management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, Glaucoma, Retinex.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the field of artificial intelligence has witnessed remarkable advancements in image generation, with OpenAI at the forefront of this innovative wave. This abstract explores the development and implications of an Image Generator using OpenAI technologies, emphasizing its potential to facilitate creative expression through AI-generated art. The foundation of this Image Generator is rooted in OpenAI's GPT-3, a state-of-the-art deep learning model that has demonstrated remarkable capabilities in natural language understanding and generation. Leveraging GPT-3's prowess, the Image Generator harnesses the power of generative adversarial networks (GANs) to produce visually stunning images. This amalgamation of technologies allows artists and creators to transcend traditional creative boundaries by generating art that is both novel and visually captivating. One of the key features of this Image Generator is its ability to generate art based on textual prompts. Users can provide descriptive or conceptual inputs, and the AI model interprets these prompts to create images that align with the given descriptions. This process not only sparks creativity but also offers a unique medium for artists to convey abstract ideas and emotions visually. Moreover, the Image Generator incorporates neural style transfer, enabling users to merge artistic styles and concepts seamlessly. By fusing the style of famous painters, graphic designers, or any preferred visual aesthetics, creators can produce artwork that is uniquely their own, yet infused with elements of established art forms. The implications of such a tool are profound. Beyond serving as a source of inspiration for artists, it democratizes the creative process, making it accessible to individuals with varying levels of artistic expertise. Additionally, it has potential applications in fields such as advertising, graphic design, and entertainment, where generating captivating visuals is paramount. Nevertheless, ethical considerations and challenges, such as issues of copyright, authenticity, and the potential for misuse, should be addressed as the technology evolves. OpenAI's commitment to responsible AI development is crucial in navigating these complexities. In conclusion, the Image Generator using OpenAI is a testament to the transformative power of AI in the realm of creative expression. It empowers artists and creators to explore new dimensions of artistry while presenting opportunities and challenges that require careful consideration. As this technology continues to evolve, its impact on the art world and beyond is likely to be profound, opening up new horizons for human creativity and innovation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image generation, OpenAI, GPT-3, AI art, creative expression, deep learning, generative adversarial networks, neural style transfer, AI-driven visual content, Algorithmic creativity, AI-enhanced design, Digital media creation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract:- In the present paper a study is made on feminist discourse portrayed in Poile Sengupta's play 'Mangalam'. Poile Sengupta is an eminent Indian playwright who gives a new direction for female to establish their position in the patriarchal society. Her plays are based on the sensitive social issues that deal with the themes of feminism, patriarchy, exploitation, subjugation, oppression, gender discrimination and violence. In her plays, she tries to reveal several types of violence that usually is inflicted on female body. The present research paper's aim is to study the status of women's predicament and sufferings under the hegemony of men. Main purpose of this paper is to expose the real position of women who are suppressed and exploited by male authority. Through this paper, the playwright raises her voice to highlight the social issues related to women. In this paper, I will try to explore that feminism flourishes under the play Mangalam by Poile Sengupta. I have tried to study how the male authority is secretly working to dominate the fate of women. I have tried to explore the realistic picture of women's struggle in male dominated society where violence is prevalent everywhere. The current research paper is a comprehensive study of social and mental sufferings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Feminism, Women, Sufferings, Resistance, Patriarchy, Violence, Exploitation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The transformative impact of two cutting-edge technologies, AI-enabled medical devices and Digital Twin technology, in revolutionizing healthcare, have been explored in this paper. The dynamics inherent in these solutions were discussed trough the analysis of real-world case studies and a comprehensive review of relevant literature. Focus is on understanding their pivotal role in reshaping patient care paradigms. Artificial Intelligence (AI) empowers medical devices to break traditional boundaries, enhancing diagnostics and treatment strategies. Also, Digital Twins, creating virtual replicas, offer personalized and data-driven healthcare solutions. Thus,the collaboration of these advancements shows potential for a future focused on precise, personalized, and proactive patient care. This evolution is not only significant but essential in navigating complexities of modern healthcare, leading to a new era where innovation is synonymous with improved well-being

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Twin technology, AI-enabled medical devices,Precision healthcare, Predictive analytics in healthcare, Patient-centric care

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Popular tree Neem (Azadirachta indica) is a member of the Meliaceae family. Many foods are prepared using bark, leaves, flowers, seeds, oil, and other materials in the Traditional System of Medicine. For pharmaceutical uses, neem has been the subject of several patent applications. The pharmacognosy, phytochemistry, and pharmacological activities that have been documented thus far are all thoroughly examined in this review. As a source of several therapeutic substances in Indian culture and a plant that thrives in tropical and semi-tropical regions, neem is the most beneficial traditional medicine. All parts of the neem tree--bark, leaves, fruits, seeds, and extracts--are utilized in traditional medicine. Its extracts are anti- inflammatory, anti-viral, anti-bacterial, anti-fungal, anthelmintic, and anti-allergic. The names "free tree of India," "wonder tree," "Nature's drug store," "Village dispensary," "Divine tree," "heal all," and "Panacea of all Diseases" are also used to neem. In current times, non-toxic herbal items should be used with specific concentration to control animal and human ailments. There is much room for this amazing plant to be used more effectively.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neem, Therapeutic and diseases, Pharmacognosy, Pharmacological activity.

  License

Creative Commons Attribution 4.0 and The Open Definition