Search
1966 articles for “Model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Extraction Properties of Mangifera indica Seed Kernels: A Comprehensive Analysis of Their Industrial Potential
Abstract: Mango (Mangifera indica) is widely regarded as one of the world's finest fruits, with a rich nutritional profile, including fiber, riboflavin, carotene, and ascorbic acid. Among its lesser-known components, the mango seed kernel offers significant nutritional and industrial value. Mango kernels are composed of protein, fat, carbohydrates, crude fiber, and ash, and contain bioactive compounds such as polyphenols, phytosterols, and tocopherols. The fat extracted from mango seed kernels has shown …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 22–28 Read article
-
Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
-
Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
-
The Contribution of A. I. in Pharmaceutical Software
Abstract: The integration of Artificial Intelligence (AI) in pharmaceutical software has significantly transformed drug development, regulatory processes, and clinical management. AI-powered tools are revolutionizing data analysis, predictive modeling, and decision-making, enhancing the efficiency and accuracy of drug discovery and development. This article explores the multifaceted contributions of AI to pharmaceutical software, including its applications in drug screening, personalized medicine, clinical trial optimization, and regulatory compliance. Additionally, we examine how AI is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
-
Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
-
AI Bias: Causes, Impacts, and Ways to Address It
Abstract: As artificial intelligence (AI) continues to permeate various aspects of society, from healthcare and criminal justice to finance and hiring, concerns over its ethical implications have gained increasing attention. A significant ethical concern is the existence of bias in AI systems. Such biases, often rooted in the prejudices present in training data, can lead to unfair and discriminatory consequences, disproportionately affecting marginalized groups. This paper examines the ethical challenges related …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 55–62 Read article
-
Zero Trust Implementation Challenges in Legacy and Wireless Network Systems
Abstract: This article titled "Zero Trust Implementation Challenges in Legacy Systems and Wireless Network Systems" delves into the evolving landscape of cybersecurity, emphasizing the inadequacy of traditional perimeter-based security models in the face of modern cyber threats. The Zero Trust Security framework is highlighted as an essential advancement in this scenario, emphasizing the core idea of "never trust, always verify." This paradigm shift underscores the importance of continuous verification, least privilege …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 39–50 Read article
-
Influence of Photoelectrons on Spacecraft Charging for Artificial Orbiting Spacecraft
Abstract: For the purpose of evaluating the temporal body potential and capacitance of an artificial orbiting spacecraft, this research analyzes the impact of photoelectrons on spacecraft charging. A metallic rectangular cuboid and two coplanar metallic rectangular plates compose the spacecraft model. The Runge-Kutta method is used to calculate the body potential, and the method of moments is used to calculate the capacitance. Depending on the spacecraft's inclination angle, solar energy from …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 36–46 Read article
-
The Role of Mathematical Reasoning in Legal Analysis: Bridging Two Disciplines
Abstract: This research paper explores the integration of mathematical reasoning into legal analysis, emphasizing the inherent similarities between the two disciplines. Both fields rely on logical structures, such as deductive reasoning, inductive reasoning, and other formal methods of thought. By examining these parallels, the paper reveals the nascent but growing interaction between mathematics and law, uncovering how the organizational schemes that underpin mathematical principles can enhance legal argumentation, decision-making, and analysis. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
-
IoT and Autonomous RC Boats for Water Quality Assessment: Trends, Challenges, and Future Prospects
Abstract: Nowadays the application of Internet of things (IoT) increasing in many applications like drone, remote control vehicles, electrical vehicle, etc. In this paper we proposed a way to check quality of water present in vast water bodies by Remote Controlled (RC) Boat. This RC environmental monitor boat collects water quality data and sends it online via the Internet of Things. So that we maintain the water by clean from received …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
-
Balancing Welfare-Productivity Trade-Offs: Logical Frameworks and Strategic Approaches for Sustainable Dairy Development
Abstract: Balancing animal welfare and productivity remains a critical challenge in modern dairy farming. This study explores diverse frameworks for evaluating the welfare-productivity trade-offs essential for achieving sustainable dairy systems. Key approaches are categorized into six thematic areas: animal-centric frameworks, management-oriented models, environmental assessments, economic and policy perspectives, technological innovations, and holistic methodologies. Each framework offers unique metrics and evaluation tools, including behavioral assessments, physiological indicators, precision livestock farming, cost-benefit analyses, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 16–24 Read article
-
Role of Carboxylesterases in Xenobiotic Metabolism and Detoxification: Insights for Cheminformatics Approaches
Abstract: Xenobiotics, which include a wide range of environmental pollutants, food additives, drugs, and carcinogens, are foreign chemical entities that enter the human body and may accumulate, leading to toxic effects. Phase I and phase II metabolic responses are among the detoxification procedures that are necessary to lessen these negative consequences. This review highlights the pivotal role of carboxylesterases (CES), enzymes involved in the hydrolysis of ester, amide, and thioester bonds …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 9–17 Read article
-
Remote Sensing in Atmospheric Studies: Enhancing Understanding of Climate Dynamics and Air Quality, Atmospheric Monitoring and Analysis; Emerging Technologies and Future Directions
Abstract: Remote sensing has emerged as a transformative tool in atmospheric sciences, providing detailed and comprehensive insights into various atmospheric phenomena. Its advanced capabilities have revolutionized our understanding of climate dynamics, air quality, and atmospheric composition, enabling more accurate monitoring and analysis. This paper reviews the critical role of remote sensing technologies in enhancing knowledge of atmospheric processes and their practical applications in areas such as climate change monitoring, air pollution …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
-
Green Technology Incubator for Sustainable Manufacturing Solutions
Abstract: The transition to a sustainable, low-carbon economy requires innovative approaches to industrial processes, particularly in the manufacturing sector, which is one of the largest contributors to global environmental degradation. This project proposes the creation of a Green Technology Incubator designed to accelerate the development of sustainable manufacturing solutions by nurturing startups and entrepreneurs focused on green technologies. The incubator's focus will be on promoting circular economy practices, energy-efficient manufacturing processes, …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 22–27 Read article
-
A Review on Enhancement of Building Energy Efficiency Through Insulation
Abstract: This review examines the heat insulation properties of bricks, which are vital for enhancing energy efficiency in buildings. Bricks serve as a fundamental component in construction, and their thermal performance significantly impacts overall energy consumption. Recent advancements in brick manufacturing have led to the development of materials with improved thermal insulation properties. The incorporation of specific additives into brick composition has demonstrated notable improvements in their ability to resist heat …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 19–26 Read article
-
Design and Implementation of a Four-Port DC to DC Converter for a Hybrid Energy System
Abstract: A four-port DC-DC converter has been developed for integrating a hybrid energy from renewable sources system into an AC microgrid. This converter is particularly suitable for AC microgrid applications that require system-level power management. It boasts a straightforward design, making it effective for interfacing sources with varying voltage and current characteristics. The converter is created to connect a battery bank, a photovoltaic (PV) panel, a wind turbine, and an inverter, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 47–60 Read article
-
Edible Mushrooms: Management of Diabetes Mellitus and Phytochemical Screening of Agaricus Bisporus
Abstract: A metabolic disease characterized by elevated blood glucose levels; diabetes mellitus affects millions of people. If not treated on time, it causes problems, damage organs, and even life-threatening. Studies have shown that diabetes can be avoided and controlled with a healthy lifestyle that incorporates exercise and a balanced diet. While there are several synthetic medications available to treat this illness using them over an extended period of time is linked …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 1–13 Read article
-
Solid Lipid Nanoparticles in Medicine: Formulation, Characterization and Future prospects
Abstract: An alternative to conventional colloidal carriers such liposomes, polymeric nanoparticles, and emulsions, solid lipid nanoparticles (SLNs) were created in the early 1990s. Benefits include targeted medicine distribution, controlled drug release, and improved stability. An extensive review of the excipients utilized, the production techniques, including the membrane contractor approach, and the possible advantages and disadvantages of SLNs is given in this work. It investigates secondary stabilization techniques like freeze-drying and spray-drying, …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 1–15 Read article
-
Emerging Trends in Membrane-Based Gas Separation Technologies
Abstract: Membrane technology has emerged as a groundbreaking solution in various fields, revolutionizing industries such as water treatment, energy production, biomedicine, and environmental protection. Over the past few decades, significant advancements have been made in membrane materials, fabrication techniques, and performance optimization. With the growing global demand for efficient and sustainable separation processes, research has increasingly focused on enhancing membrane permeability, selectivity, and durability to improve performance across various industries, including …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 16–22 Read article
-
Advance Surveillance System Integrated with Weapon Detection and Accident Detection
Abstract: Security concerns have become paramount as there is rise in crime rates in crowded events and isolated areas. Abnormal event detection and monitoring system, utilizing computer vision, are crucial for tackling these challenges. In parallel, reducing mortality rates from accidents by ensuring timely emergency response in essential. This study presents the implementation of automatic weapon detection and accident detection. In weapon detection, YOLO v4, Convolutional Neural Networks (CNN), and Faster …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 1, 2025 · pp. 47–54 Read article