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809 articles for “future potentials”
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Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
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Fields of Data: Exploring AI’s Impact on Modern Farming
Abstract: The Food and Agriculture Organization (FAO) of the United Nations projects that by 2050, there will be a further 2 billion people on the planet, but just 4% of that additional land will be used for agriculture. Under such circumstances, the most recent technical developments and solutions to the farming industry’s obstacles can be used to achieve more effective farming methods. The direct implementation of machine intelligence or artificial intelligence …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Application of MCDM Techniques for Selection of Battery for Electric Vehicle
Abstract: An electric vehicle (EV) operates using an electric motor, which differs from traditional vehicles powered by internal combustion enginesElectric motors are used to power EVs rather than gasoline and gasses. These motors are powered by fuel cells, solar panels, or battery packs that recharge. As a result, EVs are increasingly considered as potential replacements for conventional automobiles, aiming to combat issues such as pollution, global warming, and resource depletion. Electric …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 33–40 Read article
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Innovation in Phytomedicine: From Ancient Remedies to Modern Therapies
Abstract: Phytomedicine, the use of plant-derived substances for therapeutic purposes, has evolved from a ncient herbal remedies to modern clinical applications, significantly influencing healthcare practices worldwide. This review explores the historical context of phytomedicine, highlighting its roots in ancient civilizations such as Egypt, China, and India, where plants were recognized for their healing properties. We discuss key innovations in the field, including advancements in pharmacognosy, clinical research, and biotechnology, which have …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 1, 2025 · pp. 24–33 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Rosemary: A Natural Way to Improve Brain Health and Cognitive Function
Abstract: Cognitive decline is a common consequence of aging, often leading to diminished quality of life. Although conventional drug treatments, such as anticholinesterase inhibitors, are available for managing cognitive decline, they are not always effective in older adults and may even induce adverse effects. As a result, there has been growing interest in natural alternatives, particularly traditional herbal medicines, for their potential cognitive-enhancing properties. Among these, Rosmarinus officinalis (Rosemary) has gained …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 30–36 Read article
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Repurposing Liv-52 For Primary Sclerosing Cholangitis: A Computational Docking And Pharmacokinetic Study To Evaluate Its Bile Flow-Regulating Potential
Abstract: Primary Sclerosing Cholangitis (PSC) is a long-term liver disease where the bile ducts become inflamed and scarred over time. This scarring can block the flow of bile, leading to liver damage and, eventually, liver failure. The etiology of PSC remains largely unknown, and current treatment options are limited, highlighting the need for novel therapeutic strategies. This study aims to repurpose Liv-52, a traditional herbal formulation known for its hepatoprotective properties, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Opportunities and Challenges for Improving the Development of Sustainable Modes of Transportation in India – E- Highway Buses
Abstract: The Indian transportation sector, while contributing significantly to economic growth, also plays a major role in air pollution and greenhouse gas emissions. These emissions have adverse effects on public health and worsen climate change, necessitating a shift towards sustainable transportation solutions. Electric buses have shown promise as an alternative to diesel buses, but their limited range poses a challenge for long-distance routes due to battery technology. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Enhancing Protection and Monitoring in Modern Distribution Systems Using Smart Meter: A Review
Abstract: Emerging distribution systems are witnessing a significant increase in the deployment of smart meters (SMs). Though, some remain hesitant about adopting SMs due to concerns related to health risks from radio wave exposure, fire hazards, and the privacy of user data. Additional key issues are high cost for energy suppliers, with perceived less advantages, as highlighted in detailed cost-benefit analyses. In some instances, existing SM applications have failed to justify …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 20–27 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Cis-9, Trans-11 Conjugated Linoleic Acid in Milk: Natural Sources, Nutritional Advantages, and Potential Health Benefits
Abstract: Cis-9, trans-11 conjugated linoleic acid (CLA) is the most common type of CLA found in milk. It has gained a lot of attention because it may have several health benefits. This bioactive lipid is primarily derived from ruminal biohydrogenation of dietary linoleic acid and endogenous synthesis in the mammary gland via Δ9-desaturase activity. Various dietary and management strategies influence CLA concentrations in milk, including forage composition, lipid supplementation, and grazing …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Sustainable Air Conditioning Technologies: Innovations and Future Prospects
Abstract: The increasing demand for air conditioning across the globe, especially in emerging economies, has placed a significant strain on energy resources and contributed to rising greenhouse gas emissions. Conventional air conditioning systems, which largely rely on vapor compression cycles and high-GWP (global warming potential) refrigerants, are energy-intensive and environmentally unsustainable. In response to these challenges, there has been a growing focus on developing sustainable air conditioning technologies that are energy-efficient, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 26–31 Read article
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Autonomous Snake Detection and Catching System for Household Safety After Calamities
Abstract: Autonomous Snake Detection and Catching Robot for household Safety after Calamities is a robot to protect house premises from the intrusion of snakes which is a major issue specially after calamities. During floods many incidents of snake encounters and bites were reported in numerous residential areas. According to disaster management experts, the possibility of flood in Kerala still remains and it can cause major impacts in future. Conventional methods for …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 1–5 Read article
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Bismuth-Doped CuGaS₂ Thin Films for Enhanced Photovoltaic and Electrocatalytic Performance
Abstract: This study presents the development and application of bismuth (Bi)-doped CuGaS₂ thin films for enhanced performance in photovoltaic and electrocatalytic systems. Using a cost-effective all-solution processing method, Bi-doped CuGaS₂ chalcopyrite nanocrystals were synthesized and spray-deposited onto molybdenum substrates. The resulting films, with a thickness of approximately 730 nm and grain sizes larger than 400 nm, exhibited superior optical properties and a lower band gap compared to undoped films, making them …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 3, 2024 · pp. 01–07 Read article
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Effect of Bi2O3 Content and Sintering Temperature on the Frequency-Dependent Magnetic Properties of Nanosized Barium Hexaferrite
Abstract: The magnetic properties of commercially available nanosized barium hexaferrite (BaFe12O19) are studied. The particles were characterized using X-ray diffraction (XRD), vibrating sample magnetometer (VSM), and high-frequency magnetic measurements. The frequency-dependent magnetic properties viz. complex permeability and loss tangent were analyzed within the 10 MHz to 1 GHz range. Variations in complex magnetic permeability and loss tangent were discussed under varying sintering parameters such as temperature and sintering aid content. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 107–113 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Harnessing Biomass for Sustainable Insect Farming and Biotechnology: Ecological Roles, Industrial Applications, and Future Opportunities
Abstract: Biomass, derived from biological materials, such as plant residues, animal waste, and agricultural by-products, plays a pivotal role in ecological systems, including those involving insects. Insects interact with biomass at multiple levels, serving as decomposers, pollinators, and converters of organic matter into valuable resources. The integration of biomass into insect ecology and farming has garnered significant attention for its potential in sustainable agriculture, waste management, and biotechnology. This review highlights …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article