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809 articles for “future potentials”
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Implementation of Robotics in Pharmacy System
Abstract: Implementation of robotics are the essential aspects for development of the pharmacy sector. This replaces the medication (or) industrial process with new technology which results in significance of accurate and quality results. This technology aims to detect and ensure quality of finished products with new methodology which increases in productivity and it also identifies potential problems and rectify them which gives a great impact on pharmacy system. The main purpose …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 1–15 Read article
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Automotive Plastics and Polymer Composites: A Road Map for Future Mobility of Electric Vehicles
Abstract: The automotive industry is in the process of achieving a major shift toward green vehicles faster than ever with the heightened demand for energy efficient products, namely EVs. This evolution is closely linked with use of such composite materials like plastics and polymer composites. Lithium manganates and other similar materials provide extraordinary benefits such as lightweight, high density energy storage capability, and affordable to manufacture. Due to its advantages in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 378–392 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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A study on Green Hydrogen in Power Sector
Abstract: In the global shift to a sustainable and decarbonized power sector, green hydrogen produced by electrolyzing water using renewable energy sources like solar, wind, and hydropower has become a crucial option. As nations intensify efforts to meet climate targets and reduce reliance on fossil fuels, green hydrogen offers a versatile energy carrier capable of addressing key challenges including energy storage, grid balancing, and deep decarbonization of hard-to-abate sectors. This paper …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 14–21 Read article
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Revolutionizing Knee Osteoarthritis Diagnosis: Unleashing the Potential of Vision Transformers
Abstract: Osteoarthritis (OA) is the most common kind of arthritis. By analysing data from both sides of the knee joints, radiologists use the Kellgren–Lawrence (KL) grading system to determine the severity of osteoarthritis (OA). The need for knee arthroplasties has increased as a result of this. Recently, there have been proposals for computer-assisted techniques to improve the precision of OA diagnosis. Choosing between conservative and surgical treatment options for knee osteoarthritis …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 24–31 Read article
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Herbal Extract-Infused Biopolymers as Sustainable Film Formers in Skin and Hair Care Products
Abstract: Herbal extracts are becoming increasingly popular in cosmetic formulations. Due to increasing customer demand for natural, sustainable products. This review explores the potential of herbal extract-infused biopolymers as innovative film-formers in skin and hair care applications. Biopolymers, derived from natural sources, offer excellent biocompatibility, biodegradability, and functionality, making them suitable for enhancing the performance of cosmetic products. This article examines various herbal extracts that can be synergistically combined with biopolymers …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 1, 2024 · pp. 1–12 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Nutraceutical Potential of Millets
Abstract: Millets have garnered growing interest because of their exceptional nutraceutical properties. Due to their abundant supply of vital nutrients and bioactive substances, millets show significant potential in enhancing health and reducing the risk of chronic illnesses. This paper emphasises the significant nutritional content of millets, which are devoid of gluten and abundant in protein, vitamins, and minerals, rendering them a superb dietary choice for those suffering from gluten sensitivity or …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 31–37 Read article
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Efficient Cell Balancing and Protection Schemes for Electric Vehicles
Abstract: Efficient cell balancing and protection are critical aspects of electric vehicle (EV) battery management systems, ensuring optimal performance, longevity, and safety. Cell balancing refers to the process of equalizing the charge levels of individual cells within a battery pack to maximize energy utilization and prevent overcharging or undercharging of any cell. This promotes uniform wear and extends the overall lifespan of the battery pack. In the context of EVs, where …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 9–21 Read article
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Environment, Health, and Carcinogenic Concerns in the Light of Microvita Theory
Abstract: This study examines the relationship between environmental health, carcinogenic risks, and P.R. Sarkar’s microvita theory, introduced in 1986. Microvita are described as subtle entities that influence both physical and mental realms, potentially interacting with environmental factors and playing a role in health and disease, particularly in the process of carcinogenesis. By merging this philosophical concept with modern scientific insights, the study offers a fresh perspective on addressing environmental hazards that …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 8–18 Read article
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Geothermal Energy in Nigeria: Assessing Its Potential and Environmental Impacts for Sustainable Development
Abstract: This study explores the possibility of using geothermal energy to address Nigeria's electricity generation issues sustainably. Significant potential for high-output power generation from geothermal resources is revealed by analyzing the geological features of the nation. Environmental issues including pollutant emissions and ecosystem damage are explored with the benefits of geothermal energy, such as its small land footprint and dependability. The purpose of the article is to identify possible geothermal energy …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 01–07 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Comprehensive Overview of Carbohydrate Polymers
Abstract: Targeting drug delivery specifically to the colon has become increasingly crucial for treating various colonic diseases like colorectal cancer, amebiasis, ulcerative colitis, and Crohn’s disease. Numerous strategies have been developed for this purpose, including using enzymatically degradable polymers, employing prodrug-based approaches, coating drugs with polymers sensitive to time or pH changes, utilizing osmotically and pressure-controlled delivery systems. Polysaccharides activated by the colon's physiological environment show significant potential as they offer …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 8–21 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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The Dental Pulp: Vital Core of Tooth Functionality
Abstract: Dental pulp, an intricately specialized mesenchymal tissue, possesses limited regenerative capabilities attributable to the unique anatomical arrangement and the post-mitotic nature of odontoblastic cells. The process of complete pulp amputation, subsequent disinfection of the pulp space, and the insertion of synthetic materials results in the substantial loss of dentin, leading to enduring consequences such as a non-vital and structurally weakened tooth.Nevertheless, a beacon of hope emerges in the form of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 1, 2024 Read article
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Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article
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Internet of Robotic Things in Battlefield Applications: A Novel Study
Abstract: A new era in military operations is promised by the integration of the Internet of Robotic Things into combat applications, which will provide creative solutions that improve situational awareness, efficiency, and safety. To ensure that the use of these technologies is both responsible and efficient, the potential advantages must be weighed against technological difficulties and ethical issues. It will be crucial going forward for military organisations to continue being proactive …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Biomedical Coatings: Surface Engineering for Enhanced Biocompatibility and Performance
Abstract: Biomedical coatings have become essential in modern healthcare, significantly improving the performance, durability, and biocompatibility of medical implants and devices. These coatings serve multiple functions, including reducing infection risks, enhancing osseointegration, promoting tissue integration, and enabling localized drug delivery. Advances in surface engineering have led to the development of innovative coatings with superior properties such as antimicrobial resistance, bioactivity, and controlled biodegradation. Various materials are employed in biomedical coatings, including …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 8–15 Read article