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130 articles for “Technology large scale”
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Comparative Insights into Bovine and Non-Bovine Milk: Composition, Technology, and Nutritional Perspectives
Abstract: Milk has long been regarded as a universal food, providing essential nutrients to humans across cultures and generations. While bovine milk, particularly from cows and buffaloes, dominates global dairy production and consumption, non-bovine milks, such as those from goats, sheep, camels, donkeys, and yaks, also play a significant role in human nutrition, especially in regions where they are traditionally consumed. The comparative study of bovine and non-bovine milk is increasingly …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 3, 2025 · pp. 1–10 Read article
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Satellite Sensing in Climate Change: A Study
Abstract: Satellite sensing has become an indispensable tool in the study of climate change, providing critical data that enhances our understanding of atmospheric, terrestrial, and oceanic processes. By employing advanced remote sensing technology, satellites facilitate the collection of extensive datasets on key climate indicators, such as temperature variations, greenhouse gas concentrations, and changes in land cover. This aerial perspective allows researchers to monitor large-scale environmental changes with unparalleled precision and consistency, …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 10–19 Read article
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Green Energy and Intelligent Transportation: The Role of Composite Materials in Electric and Automotive Sectors
Abstract: The global transition toward sustainable mobility is accelerating, driven by mounting concerns over climate change, urban congestion, and the rapid development of green energy technologies. At the heart of this transformation lie intelligent transportation systems (ITS) and electric vehicles (EVs), which are collectively reshaping the future of modern transportation. Within this context, composite materials have emerged as key enablers, offering lightweight, durable, and energy-efficient solutions that enhance vehicle performance, range, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1096–1111 Read article
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Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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The Emerging Golden Age of Astrophysics: Progress, Discoveries, and Future Directions
Abstract: The period between 2024 and 2026 has marked a transformative era in astrophysics, fundamentally reshaping our understanding of the universe and its underlying physical mechanisms. Significant advancements in observational astronomy, computational modeling, and space exploration technologies have enabled scientists to investigate cosmic phenomena with unprecedented precision. Among the most groundbreaking achievements, the James Webb Space Telescope (JWST) has provided high-resolution infrared observations that revealed the large-scale distribution of dark matter, …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 6–9 Read article
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Modern Physics Approaches to Light-Matter Interaction
Abstract: Light-matter interaction is crucial to numerous fundamental and applied phenomena in contemporary physics, encompassing quantum optics and materials science. This study examines modern methods for comprehending and controlling the interaction between electromagnetic radiation and matter, focusing on both theoretical frameworks and experimental progress. The interaction between light and matter is a fundamental aspect of contemporary physics, forming the basis for phenomena that include the essential principles of vision and photosynthesis, …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 10–19 Read article
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Microsphere-Based Drug Delivery: A Critical Review of Innovations and Applications
Abstract: Microspheres have emerged as a revolutionary approach in pharmaceutical sciences, offering controlled and targeted drug delivery with improved bioavailability, stability, and patient compliance. These spherical carriers, ranging from nanometers to micrometers in size, can encapsulate both hydrophilic and hydrophobic drugs, enabling sustained and site-specific release. The development of microspheres has been significantly driven by the need to enhance drug efficacy while minimizing systemic side effects. This review provides a comprehensive …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article
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Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models
Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Green Hydrogen Production Using Air-Conditioner Condensate Wastewater: A Review of Solar-Powered Electrolysis Systems
Abstract: As the world moves toward sustainable and clean energy solutions, growing attention has been directed toward alternative energy carriers such as Hydrogen (H 2 ). Hydrogen is considered an attractive energy option due to its high-density energy and ecofriendly properties. However, most conventional H 2 production methods rely on fossil-fuel-based processes such as steam methane reforming and coal gasification, which contribute significantly to greenhouse gas emissions and environmental degradation. As …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Biodegradable and Natural Fiber-Reinforced Polymer Composites for Co-Delivery of Multiple Therapeutic Agents
Abstract: The co-delivery of multiple drugs using advanced nanocarriers has revolutionized targeted therapy in various diseases, particularly in cancer, infectious diseases, and neurological disorders. Multi-layered polymeric nanocarriers (MLPNs) offer a sophisticated platform to encapsulate multiple therapeutic agents with precise control over drug release, bioavailability, and synergistic effects. These nanocarriers are designed with distinct polymer layers that enable sequential or simultaneous drug release based on stimuli-responsive mechanisms such as pH, temperature, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 406–419 Read article
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Healthcare, Medicines, and the Advancement in Robotics: Pitch the Vision of Smart Public Health
Abstract: Robots are revolutionizing medical procedures, optimizing supply delivery and disinfection processes, and allowing healthcare providers to dedicate more time to patient care and interaction. Intel offers a diverse array of technology solutions designed specifically for the advancement of medical robots, encompassing surgical aids, customizable modules, and self-governing mobile robots. Social robots are human-to-human communicators that may be used to monitor and socialize with patients in long-term care settings. They lessen …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 26–29 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Plant-Derived Vaccines: A Sustainable Approach to Disease Control for Global Health
Abstract: Plant-based vaccines present a novel and environmentally responsible approach to vaccination, with significant potential for improving both human and animal health. These vaccines are safer and less expensive than traditional vaccine manufacturing methods because they use genetically modified plants to create antigens that elicit an immune response. Plant-based systems offer a potential remedy for traditional vaccines' high production costs and environmental impact, which are growing problems. Plant-derived vaccines have shown …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 17–20 Read article
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Thin Film Solar Cells: Progress in Materials, Fabrication, and Efficiency Enhancements
Abstract: Thin film solar cells (TFSCs) have drawn a lot of interest because of their potential for efficient and reasonably priced photovoltaic energy conversion. Their flexibility, low weight, and lower material consumption make them a desirable substitute for conventional solar cells made of crystalline silicon. This review explores recent advancements in TFSC technology, with a focus on materials, fabrication techniques, and efficiency improvements.Various thin-film materials, such as amorphous silicon (a-Si), perovskite, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Digital Voting System Using Blockchain
Abstract: The advent of blockchain technology has ushered in a new era of secure, transparent, and decentralized systems, providing a promising foundation for various applications, including electronic voting (e-voting). This report examines the development and deployment of a blockchain-based e-voting system designed to tackle the ongoing issues of security, transparency, and voter privacy in elections. The system utilizes blockchain's core features, including immutability, decentralization, and cryptographic security, to establish a secure …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 8–14 Read article
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Review and Implementation of Superconducting Technology in Power System for Reduction of Transmission and Distribution Line Losses
Abstract: Superconducting technology has wide applications in superconducting generator, superconducting transmission lines and superconducting energy storage systems. Most of the studies undertaken conclude that although the application of superconducting material in power system did indeed lead to improved efficiencies, the capital cost and cooling energy requirement were too large and that it was not economically feasible to implement. But the major result in the following studies is that in the future, …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 26–36 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article