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1620 articles for “Technological Integration”
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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IoT-Based Anti-Theft GPS Tracking System for Real-Time Vehicle Monitoring
Abstract: For the last six decades, advances in global positioning systems (GPS) technology for tracking vehicles have greatly enhanced their ability to secure, monitor, and track vehicles. However, many conventional methods using GPS to track vehicles have been limited by the scope of their/its operational communication range. This has reduced their effectiveness in terms of being able to track those vehicles once they are out of the limits of the original …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 22–28 Read article
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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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Self-Navigating Rover for Real Time Mapping and Disaster Management
Abstract: This paper presents the development of an autonomous rover designed for mapping and object detection in challenging terrains. The rover integrates a 6-wheel rocker-bogie mechanism for enhanced mobility and stability, making it suitable for rugged and uneven environments. Key components include an Arduino Uno for control operations, a Camera module for real-time visual data capture and object detection, and a LiDAR for precise distance measurement and spatial mapping. The system …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 23–33 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 31–40 Read article
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An Overview of New Coastal Research Vessel (N-CRV) Dry Dock and Construction
Abstract: A New Coastal Research Vessel (N-CRV) is a specialized ship designed for scientific research in fields like oceanography, geology, biology, and atmospheric studies, equipped with specific facilities and accommodations for sea missions. This paper discusses the coastal research ship dry-dock, construction, and design process, which involves three stages: concept, preliminary, and contract design. N-CRV must utilize scientific cruise, Exclusive Economic Zone (EEZ) survey, deployment, data collection, and seawater sample collection …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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Controlling of Level Process in Non-Linear System Using Variable Frequency Drive
Abstract: Abstract—The objective of this paper is to investigate the Model Predictive Control (MPC) strategy, analyze and compare the control effects with Proportional-Integral-Derivative (PID) control strategy in maintaining a level of spherical tank system using VFD. An advanced control method, MPC has been widely used and well received in a wide variety of applications in process control, it utilizes an explicit process model to predict the future response of a process …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 24–33 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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Optimizing Power Generation from Building Ventilation Systems: A Study on Exhaust Fan Efficiency
Abstract: Due to population growth, the world's energy consumption has increased dramatically in both wealthy and developing nations in recent years, and by 2042, it is predicted to have doubled or more. Since a few years ago, the use of innovative sustainable power sources to meet energy demands has been gradually increasing. We've chipped away at a different idea because of this. As an alternative energy source, renewable energy (RE) resources …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article
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A Survey on Cognitive Radio Ad Hoc Network Architecture
Abstract: Cognitive radio ad hoc networks (CRAHNs) represent an innovative paradigm in wireless communication, leveraging the dynamic spectrum access capabilities of cognitive radios (CRs) to enhance network performance and spectrum efficiency. The architecture of CRAHNs integrates cognitive radio capabilities with ad hoc networking principles, enabling devices to manage spectrum resources autonomously and intelligently in a decentralized manner. This abstract outlines the key components and functionalities of CRAHN architecture, highlighting its potential …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Evaluation of the Effect of Zinc Supplementation on Glycemic Control and Lipid Profile in Normoglycemic and Streptozotocin-induced Type-2 Diabetic Rats
Abstract: Diabetes mellitus is a chronic, progressive disease, which is accompanied by multiple complications. Hyperglycemia and dyslipidemia are common complications of diabetes mellitus. The current approaches for treatment of diabetes are mostly dependent on insulin and other oral standard drugs, which have their own put falls. Thus, micronutrients supplementation is gaining momentum as the quest for management of diabetes continues. Certain micronutrients increase insulin synthesis secretion and insulin sensitivity thereby improve …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 2, 2016 · pp. 41–51 Read article
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Enhancing Fire Performance of Steel Reinforcement in RCC Structures: A Comprehensive Investigation
Abstract: The assessment, repair, and rehabilitation of fire-damaged structures have become crucial due to the rise in significant building fires.This particular field necessitates proficiency in various domains including concrete technology, material science and testing, structural engineering, and repair materials and processes. Researchers and developers are currently engaged in extensive efforts to tackle the challenges related to improving the fire resistance of steel reinforcement in reinforced concrete (RCC) structures. These endeavors involve …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 33–40 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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The Digital Lifeline: How Computers Shape Everyday Life
Abstract: Computers have become an integral part of everyday life, significantly influencing the way the common man interacts with the world. From revolutionizing communication to transforming industries, education, healthcare, and entertainment, computers have reshaped the fabric of modern society. This study explores the multifaceted impact of computers on daily life, examining how they have made tasks easier, faster, and more efficient. While enhancing productivity and connectivity, computers have also introduced new …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 33–47 Read article
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Building a Resilient Climate Regulatory Ecosystem for Nigeria
Abstract: Terrestrial ecosystems, which store more carbon than the atmosphere, are vital to influencing carbon dioxide-driven climate change. Climate and land-use change are critical and interlinked components of the Carbon budget in human-dominated landscape, using the InVEST model maps of land use and stocks in four Carbon pools (aboveground biomass, belowground biomass, soil, dead organic matter) are used to estimate the amount of Carbon currently stored in the landscape and the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 2, 2020 · pp. 46–62 Read article