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629 articles for “analytics”
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Analysis of Thermal Performance Improvement of Engine Fins by Varying the Materials and Profiles Used at High Temperatures
Abstract: In this thesis, we will design fins using various profiles and materials to identify the optimal combination for a 100cc engine. We will also test different materials for fins to evaluate the engine's heat efficiency. Our study will involve a comparison between the optimized fins and the original aluminum fins currently used. To ensure the optimal performance of the 100cc engine, we will utilize advanced analytical software to thoroughly analyze …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 Read article
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Thermal Behavior and Insulation Strategies for Li-FeS₂ Thermal Batteries: An ANSYS Simulation Study
Abstract: Thermal batteries are special electrochemical systems in which a great amount of energy is delivered during a relatively short period of time. The holding time of the thermal battery's working temperature and cell temperature define its discharge life. Thermal batteries have their advantages comparing other type of batteries, so they are used for several purposes including military field. Thermal batteries usually operate in the internal temperature range of 400 to …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 45–52 Read article
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Development of a Blockchain-Based System for Drug Counterfeiting and Traceability in the Pharmaceutical Supply Chain
Abstract: Counterfeit drugs present a major risk to public health and pose a substantial threat to the pharmaceutical industry, leading to severe economic losses and risking patient lives. Ensuring the safety and authenticity of the pharmaceutical supply chain is critical to addressing this issue. This study presents a novel approach for enhancing the security and authenticity of the pharmaceutical supply chain through the integration of blockchain technology, decentralized storage, and artificial …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 99–114 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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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
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HPTLC Method Development and Validation for Rabeprazole Sodium in Pharmaceutical Formulation
Abstract: Background: The most common medication for acid related disorders stands as Proton pump inhibitor (PPI) Rabeprazole Sodium. The pharmaceutical formulations require essential quality control of Rabeprazole Sodium through reliable analytical methods to maintain reliability. HPTLC provides a cost-effective rapid method for drug quantification compared to conventional HPLC methods so how HPTLC stands as an appropriate method for drug determination. Objective: The emphasis of this research project involves developing and validating …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 18–24 Read article
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Advancements in Smart Manufacturing: A Review of Industry 4.0 Technologies and Integration Strategies
Abstract: A new era of production known as “Smart Manufacturing,” which is primarily motivated by the ideas of Industry 4.0, has been brought about by the quick development of digital technologies. The goal of this technology revolution is to develop intelligent, adaptive, and networked production systems that react instantly to shifting supply, demand, and operating circumstances. The Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), cyber-physical systems (CPS), big …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 31–36 Read article
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Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
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Computers: Evolution, Breakthroughs, and Future Innovations
Abstract: The computer, a cornerstone of modern technology, has evolved through significant inventions and innovations that have transformed societies and industries worldwide. From the early mechanical calculating machines, such as Charles Babbage’s Analytical Engine, to the advent of electronic computers like the ENIAC, the journey of computing is marked by breakthroughs that have enabled rapid advancements in data processing, communication, and automation. The introduction of integrated circuits, microprocessors, and the development …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 11–23 Read article
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IoT Based Electricity Theft Detection System
Abstract: The proliferation of smart grids and advanced metering infrastructure has paved the way for innovative solutions to tackle the longstanding issue of electricity theft. This study presents an IoT-based electricity theft detection system that leverages real-time data analytics and machine learning algorithms to identify potential theft cases. The proposed system utilizes smart meters to collect electricity consumption data, which is then transmitted to a central server for analysis. The system …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 18–22 Read article
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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Development of River Flood Management plan “Case of Patna City”
Abstract: This Research Paper develops an Integrated River Flood Management plan for Patna city, which includes Policy Framework and Implementation Strategy by increasing resilience and reducing river flood through various Interventions like Land use planning, Low Impact Development, Embankments, leaves, Dykes and ecosystem-based adaptation, resilient infrastructure, and community engagement identified from various Literature studies. It ensures Development of framework for River Flood in the region. It also talks about the Parameters …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 38–79 Read article
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Fracture Analysis of FRP Composites under Thermo-Mechanical Loads for Different Geometry Cutouts
Abstract: Fiber-reinforced composites (FRPs) are used extensively in structural and non-structural components of the aerospace and automotive industries. To utilize these materials for structural applications, it is necessary to understand the fracture behavior of the material. In the present investigation of carbon fiber laminates, studies were carried out to understand the fracture toughness characteristics of the carbon fiber laminates with mechanical, thermal, and thermo-mechanical loadings of modes I, II, and III. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Prediction of Depth-Induced Stress Distribution and Maintenance Cost Implications for Submerged Structural Components
Abstract: This study investigates the influence of water depth on stress distribution and structural integrity of submerged mechanical components . Structural models fabricated from mild steel, stainless steel, carbon steel, and copper alloy were examined under hydrostatic loading corresponding to water depths between 30 cm and 150 cm. Results indicate that normal and shear stresses increased proportionally with depth due to intensified hydrostatic pressure. Mild steel exhibited the highest stress concentrations, …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 29–35 Read article
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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article