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1358 articles for “behavior”
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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A Review on Banana Fiber Reinforced Polymer Composites through Advanced Surface Treatments and Manufacturing Techniques
Abstract: In today's rapidly evolving world, heightened environmental concerns and stringent government regulations have spurred scientists and researchers to seek biodegradable and renewable alternatives to synthetic materials. Natural fibers, derived from resources like banana, jute, bagasse, and sisal, offer distinct advantages such as low density, comparable strength, non-toxicity, cost-effectiveness, and minimal waste disposal issues over synthetic counterparts. Extensive research has explored the potential applications of these natural fibers, with banana fibers …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article
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Smart Framework for Personal Fuel Expense Tracking and Carbon Emission Assessment
Abstract: This study presents a smart system that is intended to assist individuals and administrators in tracking their fuel costs and keeping an eye on their daily carbon emissions. It makes it simpler to make decisions by examining fuel consumption and its effects on the environment. The technology gathers real-time emissions data from vehicles equipped with Internet of Things devices. It can predict future trends of emissions by utilizing AI-based predictive …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 36–44 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Experimental Study on Sustainable Light Weight Concrete Incorporating with Oil Palm Industrial Waste
Abstract: In present days a very huge number of raw materials are used by the construction sector which releases very large amount of harmful gases such as carbon dioxide (CO2) into the environment. To avoid such problems research should be focused on sustainable materials, among which Oil Palm industrial waste that can be used in concrete. The main purpose of this research is to utilize the palm oil fuel ash (POFA) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 1–18 Read article
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Environmental Pollutants and Biodiversity Loss: Analyzing the Role of Persistent Organic Pollutants in Ecosystem Decline
Abstract: Persistent Organic Pollutants (POPs) significantly impact biodiversity, with various factors influencing their effects on species and ecosystems. Species in poor body condition, like carnivores and predators, are more vulnerable to POPs due to weakened immune systems and reduced detoxification abilities. Dietary habits also affect the accumulation of POPs, as chemicals biomagnify up the food chain. Carnivores accumulate higher concentrations, leading to reproductive failures, hormonal imbalances, and death, while herbivores face …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 9–20 Read article
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Deformation and Densification Behaviour of Sintered Aluminium Alloy and Chromium Carbide Metal Matrix Preforms
Abstract: This paper presents comprehensive experimental results focused on the deformation and densification behavior of sintered AA2618 - 2% Cr3C2 metal matrix preforms. The study specifically examines preforms with varying aspect ratios subjected to a cold upsetting process. To create the powder preforms, an initial theoretical density of 89% was achieved using a cylindrical die on a 600 kN hydraulic press. The sintering process was conducted in an electric muffle furnace, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–131 Read article
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A Descriptive Study to Assess the Effectiveness of Instructional Modules on Knowledge Regarding Challenges Faced by Rural Community People on Cancer Preventive Measures Among People Living in the Selected Community Area, Palakkad District
Abstract: This study employed a quantitative approach with a descriptive study design to assess the knowledge and challenges faced by rural communities regarding cancer preventive measures. A total of sixty participants were selected using purposive sampling, which is non-probability based. Data were gathered through a semi-structured questionnaire to capture demographic information, alongside a structured questionnaire specifically designed to evaluate knowledge on cancer prevention challenges within the rural population. The collected data …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 26–33 Read article
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History and Applications of Kalman Filter: A Review
Abstract: The Kalman filter is a powerful algorithm that is used to estimate the dynamic system states with noisy measurements and uncertain behaviors. It is an optimal estimator that minimizes the average squared error between the estimated states and the true states, given the noisy data and a model of the system. The recursive algorithm is highly effective in tracking and predicting the state of complex systems over time. Kalman filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 14–23 Read article
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An Overview of The Impact of Reinforcement on Mechanical and Thermal Characteristics of Aluminum Alloy Composites
Abstract: Aluminum is utilized extensively in the domains of aerospace, electronic technology, electric module packing, automotive body structure, solar and wind energy management, and so on because of its better potential for weight reduction. Strength of aluminum is very less so application is limited where high strength is needed. Aluminum alloy which have greater potential for weight reduction as well as high strength to weight ratio have ability to overcome these …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 240–249 Read article
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Techniques of Atomic Structure Orbit Potential of The Frequency Characteristics of Silicon Element
Abstract: This study explores the technological applications and material integration of semiconductor materials, with a focus on their electronic properties and practical implementations. The investigation primarily addresses four key objectives: analyzing the electronic band structure and density of states (DOS) of semiconductor materials, evaluating the band alignment in heterojunctions, and integrating these materials into practical technological applications. Using a simplified tight-binding model, we compute and plot the electronic band structure of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 3, 2024 · pp. 16–32 Read article
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Simplified Solution to Analysis Risk Assessment of Reinforcement type Soil Wall Considering Seismic Waves with Uniform Surcharge
Abstract: Due to failure of reinforced soil wall in various country the various risk factor are associated to these failure. In the present pseudo-static analysis some risk factor analysis have been done by considering the seismic waves with uniform surcharge and also consider surcharge’s inertial behavior at risk factor of horizontal and vertical coefficients of accelerations at kh = 0.24, 0.36 and kv = 0.12, 0.18 taking into account. The earlier …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 452–458 Read article
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AI-Driven Innovation in Biomaterials: Predictive Modeling and Design for the Future
Abstract: The integration of artificial intelligence (AI) is revolutionizing the field of biomaterials, paving the way for innovative approaches in their development and production. This paper examines the connection between AI and biomaterials, emphasizing the substantial impact of predictive modeling on the evolution of the field. By examining recent research and cutting-edge uses, the document shows how AI-powered predictive modeling has revolutionized biomaterial design, marking a period of unparalleled precision and …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 25–35 Read article
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Strategies in the Battle against Recurrent UTIs: A Brief Overview
Abstract: Recurrent urinary tract infections (UTIs) present a serious medical issue, and such conditions can disappoint those affected. They are uncomfortable, but a difficulty arises because treating such conditions with antibiotics comes with the risk of antibiotic overuse. This summary will evaluate the measures incorporated in treating frequent UTIs in the contemporary world. These measures include taking antibiotics regularly to prevent infections and alternatives to antibiotics such as probiotics, cranberry extract, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 68–73 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article
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A Review on the Impact of Artificial Intelligence on Cybersecurity
Abstract: When it comes to protecting against cyber threats, the use of AI is changing everything. Thanks to AI-powered technologies, organizations can now better foresee and handle potential intrusions. These solutions provide exceptional capabilities in identifying threats, monitoring in real time, and delivering predictive insights. But, with these innovations come significant hazards and difficulties, necessitating thoughtful deliberation and preventative measures. Artificial intelligence's impact on cybersecurity is explored in this article, looking …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Revolutionizing Culinary Innovation and Sustainability through Smart Kitchen Assistant
Abstract: Introducing a Smart Kitchen Assistant which revolutionizing a culinary experiences with advanced features. This innovative system integrates a precision Vegetable Cutter, optimizing meal preparation efficiency. And a Storage Space ensures organized ingredients readily available for cooking. UV Light Sterilization guarantees hygienic food preparation surfaces, enhancing safety. Additionally, integrated Solar Panels promote sustainability, reducing energy consumption and environmental impact. By seamlessly combining this technology with sustainable practices, our Smart Kitchen Assistant …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 1–16 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article