Volume 12 | Issue 12 |

 Abstract

Malware attacks have become a continuous and evolving threat in the digital age, targeting individuals, enterprises, and governments. The ever-changing nature of the malware renders traditional security solutions ineffective for detecting and mitigating sophisticated attacks. Machine learning (ML) techniques have emerged as powerful tools to counter these challenges, enabling adaptive and intelligent detection systems. In many cases, malware attacks make a clear reflection of a common menace in the digital era, the attackers tend to devise very intricate ways for exploiting the vulnerabilities. Current techniques for detection do not avail good fight against advanced evasion such as polymorphism and zero-day attacks. Machine learning (ML) offers achievable strongholds against such threats, yet a number of challenges and the gaps remain. This paper identifies the gaps and existing methodologies while highlighting potential countermeasures on fresh discoveries from various peer-reviewed journal articles. This article presents a comprehensive survey of malware attacks, their classifications, attack vectors, and impacts. We explain the applicability of ML techniques in fighting malware, while discussing their effectiveness, shortcomings, and future research paths.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Malware, attacks, types of malwares, machine learning, deep learning, malicious, benign, algorithms, android malware.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In their deep meditative state, our rishis explored the potential of sound, the power of sound to absorb the mind deeply while repeating harmonious sound frequencies in the form of mantras. In the meditation process, they experienced the power of harmonious frequencies, which could reverse the negative effects of the negative thoughts programmed in our subconscious. Hence, they developed a system called Nada Yoga, mainly to practice focused meditation. The yogis found that musical frequencies are not just a source of entertainment rather, they inherit higher purposes that can be achieved with the help of these frequencies in the state of Dhyana. A good amount of Vedantic literature elucidates the use of sound to attain spiritual bliss and asserts that the entire creation begins with the sound vibration or sphot. For past centuries, in Vedic culture, the sacred sounds, in the form of mantras or Kirtans, are used to pierce the sensual, mental and intellectual levels of existence to purify the body and mind and to attain divine enlightenment to become liberated.

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 Keywords

Musical Frequencies, Vibration, Beejmantra, Nadayoga, Consciousness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The universal phenomenon of the periodic marketing was distributed by transformation of the economy and rapid growth of urbanisation, and was replaced by permanent shops or markets in developed countries as well as in many parts of the developing world. A rural periodic market is the centre of the village, on which the social, economic and cultural activities of several villages depend. These markets are held periodically on same specific day or days of the week at same fixed locations and thus provide different goods and services to the rural masses. The variation of periodicity is a common feature of a rural periodic market. In Dakshin Dinajpur district, the periodic markets are organised either once, twice or trice in a week. These bi-weekly and tri-weekly markets lead to increase the market meeting day in a week. A Chi-square test is conducted to prove that the bi-weekly and tri-weekly markets lead to increase the market meeting for each day in a week above the expected meetings. The periodic markets are linked in space and time. This space-time relationship is called as spatio-temporal synchronisation. It is one of the important themes to explain the nature of periodic markets. A well-integrated marketing system should follow the most useful path 'Proximity in space implies separation in time' which derived by Fagerlund and Smith. This study is concerned with the periodicity and spatio-temporal character as well as their future prospects.

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 Keywords

Rural Periodic Markets, Periodicity, Spatio-Temporal Synchronisation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing demand for sustainable design solutions has made natural materials like cork integral to innovative interior design. This paper explores the application of cork flooring and wall panels in skincare experience centers, emphasizing their role in promoting sustainability, enhancing sensory engagement, and achieving aesthetic excellence. The study highlights cork's unique properties, such as thermal and acoustic insulation, durability, and visual versatility, while also addressing challenges and solutions for its broader adoption. The findings demonstrate that integrating cork into skincare spaces aligns with modern eco-conscious values and elevates customer experiences.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Cork flooring, cork wall panels, sustainable interior design, skincare experience centers, sensory engagement, aesthetic design, acoustic insulation, thermal insulation, eco-friendly materials, biophilic design, renewable resources, customer experience, sustainable materials, functional aesthetics, design versatility, moisture resistance, smart interior systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Natural disasters are unavoidable phenomena that significantly impact economies, ecosystems, and human lives. Events such as tsunamis, earthquakes, and forest fires often lead to widespread devastation, including collapsed infrastructure, disease outbreaks, and loss of life. To address this challenge, we propose a multilayered deep convolutional neural network (CNN) model capable of classifying natural disasters and determining their intensity. Our model processes input images, compares them with pre-trained datasets, and identifies the type and severity of the disaster with high accuracy. This approach enables faster decision-making and effective disaster response, offering a significant advancement in disaster management technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional neural network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cinema often mirrors societal realities, shedding light on struggles that are otherwise ignored or normalized. English Vinglish, directed by Gauri Shinde, is one such film that explores the unspoken emotional challenges faced by homemakers in a patriarchal setup. The story follows Shashi Godbole, a dedicated homemaker, who silently endures the dismissive attitudes of her husband and children. Her journey of self-discovery begins when she decides to learn English, a decision that transforms her sense of self-worth and confidence. At its core, the film critiques the subtle patriarchy embedded in everyday family dynamics and highlights the emotional abuse that women often face in the form of unappreciated labor and microaggressions. This paper analyzes Shashi's journey through a feminist lens, focusing on how English Vinglish portrays the psychological impact of such abuse, the symbolic role of language in her empowerment, and the broader cultural implications of undervaluing homemakers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Abuse, Patriarchy, Feminism, Language Empowerment, Women's Struggles.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brain cancer is a complex and devastating disease with multifaceted causes, including genetic predisposition, environmental factors, and exposure to carcinogens. The intricate interplay of these factors contributes to the development and progression of brain tumor, presenting significant challenges for diagnosis and treatment.Convolutional Neural Networks (CNNs) have emerged as a powerful tool in medical image analysis, offering automated and data-driven approaches to disease detection and characterization. In the context of brain cancer, CNNs have been utilized to analyse magnetic resonance imaging (MRI) data, extract relevant features, and classify tumor types with high accuracy. Their ability to learn intricate patterns from complex imaging data has paved the way for improved diagnostic capabilities and personalized treatment strategies.This project is proposed to use the You Only Look Once (YOLO) algorithm as an alternative approach for the analysis and prediction of brain cancer.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN,MRI,Image,Tumor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the development of a robust and efficient algorithm for optimal ship routing, designed to tackle the complexities of dynamic oceanic conditions, fuel consumption, and strict time constraints. The proposed algorithm integrates multiple real-time variables such as weather patterns, sea currents, and vessel specifications, optimizing the route selection process for maximum efficiency. By considering these dynamic factors, the algorithm ensures improved route accuracy, adaptability, and overall navigation performance. The solution aims to not only enhance safety by minimizing risks associated with unpredictable ocean conditions but also to reduce operational costs and minimize the environmental footprint of maritime transportation. The findings demonstrate that this approach offers a significant advancement in optimizing maritime navigation, contributing to both economic and environmental sustainability in the shipping industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ship routing, optimal navigation, dynamic ocean conditions, fuel efficiency, maritime safety, route optimization, vessel characteristics, environmental impact, real-time weather data, sea currents, maritime transportation, sustainable shipping.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing frequency of ATM-related crimes, such as theft and violence, underscores the urgent need for advanced security systems capable of real-time anomaly detection and response. This research introduces an intelligent surveillance solution specifically designed for ATMs, leveraging the YOLOv3 object detection model. The system detects critical anomalies, including unauthorized multiple person entries and the presence of weapons, using live video feeds from ATM cameras. Upon detection, the system immediately issues a voice alert within the ATM to deter potential offenders and sends a real-time notification to law enforcement via Telegram. The integration of deep learning with a reliable communication framework ensures swift action to prevent criminal activities. The system achieves an impressive detection accuracy of 98.5%, with notification latency reduced to under two seconds, making it highly efficient and scalable. This work not only enhances ATM security but also reduces reliance on manual monitoring, paving the way for smarter and safer financial infrastructure.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ATM securiaty, YOLOv3, anomaly detection, Telegram alerts, real-time surveillance, public safety, crime prevention.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Effluent Treatment Plants (ETPs) play a pivotal role in managing the environmental footprint of the textile industry, which is one of the largest polluters globally. This research explores the design, operation, and effectiveness of ETPs in treating wastewater generated by textile production processes. The study identifies common challenges, evaluates emerging technologies, and proposes best practices for optimizing ETP performance. The findings highlight the critical need for robust ETP systems, integrated regulatory frameworks, and innovations in wastewater treatment technologies to ensure sustainable textile production.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effluent Treatment Plants (ETPs),textile industry, sustainable textile

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Creative Commons Attribution 4.0 and The Open Definition