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400 articles for “industry”
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Activated Carbon Materials as Ideal Adsorbents for the Desulfurization of Fossil Fuels
Abstract: Removal of organosulfur compounds from diesel is of interest from scientific, social, economic, and environmental viewpoints. Production of clean fuel remains a primary goal of the petroleum refining industry. The reduction of sulfur content below stringent ppm levels in diesel fuels becomesincreasingly challenging due to the presence of sterically hindered sulfur compounds, such as 4,6- dialkyldibenzothiophenes, which are resistant to removal over conventional supported mixed sulfide hydrodesulfurization catalysts. Consequently, alternative …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 28–34 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Recent Trends in Heavy Metal Pollution of Groundwater: A Review
Abstract: Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation. Rapid industrialisation, urban expansion, intensive agriculture, mining activities, and improper waste disposal have significantly increased the release of heavy metals into subsurface environments. Groundwater, being a primary source of drinking water in many regions, is particularly vulnerable to contamination, posing serious risks to human health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 14–24 Read article
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Sustainable Membrane Fabrication Using Green Chemistry Principles: A Comprehensive Review of Microwave Irradiation, Sonochemical, and Continuous Flow Methodologies
Abstract: Membrane-based separation technologies have emerged as indispensable tools in water purification, biomedical engineering, pharmaceutical processing, and environmental protection. However, conventional membrane fabrication processes often rely on hazardous organic solvents, energy– intensive steps, and environmentally taxing conditions. In response to increasing global emphasis on sustainability and regulatory pressures, green chemistry strategies have gained attention for enabling safer, energy-efficient, and eco-friendly membrane production. This review provides a comprehensive and structured analysis of …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 8–24 Read article
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Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization
Abstract: Vaccine development and manufacturing have become increasingly complex due to the emergence of diverse vaccine platforms, stringent regulatory expectations, and global demand for safe and effective immunization. Across the vaccine lifecycle – from antigen design and preclinical evaluation to large‑scale manufacturing and post‑marketing surveillance – pharmaceutical software now plays a central role in handling data, optimizing processes, and ensuring regulatory compliance. Software tools support in silico antigen and epitope design, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 1–8 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 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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Examining and Analyzing the Double Helical Spiral Mixer's Effectiveness
Abstract: Recent advancements in various mixing mechanisms are being leveraged in the food industry to enhance their success by ensuring product consistency fostering the development of new products and cutting down production costs the choice of mixing equipment is influenced by the types of phases being combined such as liquid-liquid solid-liquid or solid-solid and the physical properties of the final product including viscosity and density both traditional and innovative specialty mixing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 15–24 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 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
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Striking the Right Balance: The Role of n-3/n-6 Fatty Acid Ratio in Health and Strategies for Dietary Improvement.
Abstract: The dietary balance between omega-3 (n-3) and omega-6 (n-6) polyunsaturated fatty acids (PUFAs) is crucial in modulating inflammation and promoting optimal physiological function. Modern diets, particularly in industrialized countries, are skewed heavily in favor of n-6 fatty acids, often reaching ratios as high as 1:20 or more, compared to the ideal range of 1:1 to 1:4. This imbalance is associated with the pathogenesis of numerous chronic diseases, including cardiovascular conditions, …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 1–9 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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Ethical and Responsible AI: A Comprehensive Review of Principles, Methods, and Tools
Abstract: Quick development of artificial intelligence (AI) has revolutionized a number of industries, including healthcare, banking, and government, by providing creative answers to challenging issues. However, there are serious ethical issues with growing integration of AI into crucial decision-making processes, including prejudice, a lack of transparency, abuses of data privacy, and accountability gaps. A systematic strategy that incorporates technical solutions, legal frameworks, and ethical standards is needed to address these issues. …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 23–34 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Bridging the Gap Between Product Development and Entrepreneurship in Engineering Curriculum: A Framework-Based Approach Aligned with NEP 2020
Abstract: Despite advancements in technical education, Indian engineering graduates frequently enter the workforce lacking critical competencies in product development (PD) and entrepreneurship. This imbalance has drawn scrutiny from industry and policymakers alike, with national directives such as the National Education Policy (NEP 2020) emphasizing a shift toward “experiential, holistic, integrated and inquiry-driven” learning models. Similarly, the All-India Council for Technical Education (AICTE) has embedded innovation labs, internship mandates and entrepreneurship courses …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 87–100 Read article
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Marine Microbial Ecology: A Comprehensive Review of Interactions, Symbiosis, and Bioprospecting.
Abstract: Marine microorganisms constitute the largest and most dynamic fraction of Earth's biodiversity, governing vital ecosystem functions ranging from global biogeochemical cycling to host-specific symbiotic associations. This review provides a comprehensive synthesis of the complex interaction networks within marine microbial communities. We first explore the theoretical foundations of microbial niche construction and evolutionary dynamics in the ocean. Subsequent sections dissect micro-scale interactions within the phycosphere, where chemical gradients dictate cross-kingdom mutualisms …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 6–16 Read article
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 Read article
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The Next Era of Molecular Biotechnology: Beyond DNA
Abstract: Molecular biotechnology has advanced much beyond conventional DNA manipulation, into a phase characterised by precision, integration, and invention. This article examines the evolving domain of next-generation biotechnological instruments, encompassing gene editing technologies like CRISPR-Cas systems, synthetic biology, and RNA-based medicines. It shows how these new technologies are changing medicine by making treatments more personalised, making farming more productive by using genetically modified crops, and making industrial processes more environmentally friendly …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article