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1982 articles for “potential” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Hydrogen-based Steel Making - The future?
Abstract: The largest energy consumer i.e. 5% of global energy consumption and 7% of global CO2 emissions are produced by the iron and steel sector. The steel industry is a significant contributor to anthropogenic CO2 emissions, largely due to the use of carbon as a reducing agent in the production of virgin steel. The main cause of these emissions is the decrease in iron ore. While recycling scrap steel in electric …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 38–65 Read article
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Understanding Programmed Cell Death
Abstract: Recent studies emphasize the critical role of various types of programmed cell death (PCD) such as apoptosis, autophagy, pyroptosis, and necroptosis, as well as their respective signaling pathways. These processes are essential for regulating cellular balance, responding to stress, and triggering immune defenses. Apoptosis, commonly known as "cellular suicide," is a tightly controlled mechanism that allows cells to die without inducing inflammation. This process is key for tissue development, immune …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 42–50 Read article
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Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract: This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Smart Contracts in Supply Chain Management: A Blockchain Perspective
Abstract: In recent years, blockchain technology has emerged as a transformative force capable of enhancing transparency, security, and efficiency across various industries. Supply chain management is one area where blockchain integration has a lot to offer. This paper explores the application of blockchain technology within supply chain systems, focusing on its potential to streamline operations, reduce fraud, and enhance traceability. By leveraging the decentralized and immutable nature of blockchain, stakeholders can …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 10–18 Read article
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A Short Review on Long-Term Effects of Botox on Neuronal Sprouting: Mechanisms and Its Clinical Implications
Abstract: Botulinum toxin (Botox) is extensively used for its ability to induce temporary muscle paralysis through inhibition of acetylcholine release at neuromuscular junctions. While its short-term effects are well documented, emerging evidence suggests that chronic use of Botox may trigger neuronal sprouting, a process that could have significant long-term implications. This review synthesizes current research on the mechanisms by which Botox induces nerve sprouting and evaluates the clinical outcomes associated with …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 72–87 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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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Fabrication of Low-Cost and High-Efficiency Crystalline Silicon Solar Cells Using Polymeric Carrier Selective Contacts
Abstract: Crystalline silicon (c-Si) solar cells are the leading choice in the photovoltaic market due to their dependability and long-term stability, but lowering production costs and increasing efficiency remain key issues. Organic semiconductors use carrier-selective contacts based on doped amorphous silicon layers and transition metal oxides to simplify and lower the production costs of efficient crystalline silicon solar cells. Polymers are rapidly being used in photovoltaics as flexible substrates, photoanode films, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 124–131 Read article
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Performance Improvement of Polymer and Silicon Solar Cells Using Transition Metal Oxide Interfaces
Abstract: Fossil fuels are running out, which is contributing to greenhouse gas emissions and climate change due to the world's growing energy demand. Renewable energy, which is environmentally friendly, is crucial for balancing the demand and supply of energy in our society.The non-traditional energy source with the fastest rate of growth is solar cells, which use photovoltaic technology to convert sunlight into electrical power.Conjugated polymers and large molecules are used in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 66–75 Read article
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Clinical Profiles of Patients Presenting with Hypoglycemia in Emergency Department of Bir Hospital
Abstract: Hypoglycemia stands as a primary reason for visits to the Emergency Department (ED), ranking high among the most frequent and easily avoidable hormonal emergencies. The aim of this research is to investigate the occurrence of hypoglycemia and identify its underlying causes. As the number of diabetes cases rises, along with different methods of tightly managing blood sugar levels, the likelihood of hypoglycemia also increases. Given that extended periods of hypoglycemia …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 19–39 Read article
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Deep Learning Algorithms for Medical Image Encryption to Ensure Secure Data Transfer
Abstract: Deep learning has significantly impacted various fields, including medical imaging, by offering new ways to encrypt medical images for secure data transfer. This research work examines how deep learning algorithms are used to enhance medical image security during transmission. Given the high sensitivity and privacy requirements of medical data, it’s crucial to maintain its confidentiality. Traditional encryption techniques, while reliable, often struggle with issues like scalability, computational efficiency, and the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 28–36 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Pharmacological evaluation of Hepatoprotective activity of Indian medicinal plants Cordia Myxa and Canscora diffusa on wistar albino rats
Abstract: Two plants (Cordia myxa and Canscora diffusa), which were claimed to possess hepatoprotective activity, were selected. The Selected plants were authenticated by an expert botanist. In the current study, herbal extraction involving solvents of decreasing polarity (petroleum ether, ethyl acetate, and hydroalcoholic) was used to extract bioactive compounds from the plants of Cordia Myxa and Canscora diffusa in polyherbal preparations. A phytochemical evaluation was performed, including an acute toxicity study …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 31–44 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Evaluating the Influence of Temperature on the Efficacy of Capparis Decidua Extract as a Corrosion Inhibitor for Aluminium in Acidic Media
Abstract: The study investigates the anti-corrosive properties of the ethanolic extract of Capparis decidua fruit on aluminum corrosion in a 2N HCl acid solution, using a weight loss technique at temperatures ranging from 303 to 343 K. At a concentration of 0.45%, the inhibition efficiency (η%) is notably high, reaching 63.15% at 303 K. The inhibitor's adsorption behavior on the aluminum surface is consistent with the Langmuir adsorption isotherm, suggesting that …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 58–65 Read article
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A Review on Phytochemistry and Pharmacology of Macaranga peltata
Abstract: Macaranga peltata, categorized within the Euphorbiaceae family, represents a prevalent pioneer arboreal species across Southeast Asia, specifically in regions such as India and Sri Lanka. This review scrutinizes the phytochemical properties and pharmacological profiles of Macaranga peltata, underscoring both its historical medicinal applications and prospective therapeutic roles. The plant exhibits a rich composition of secondary metabolites, encompassing flavonoids, stilbenes, tannins, and terpenes, with the majority of these compounds being extracted …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 50–59 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Ayurveda Treatment of Type 2 Diabetes Mellitus WSR Kaphaja Prameha: A Case Study
Abstract: Type 2 diabetes mellitus is highly prevalent in society nowadays. This is result of deranged lifestyle and food habits of present era. It can be corelated with Prameha in Ayurveda, that is mentioned in all ancient texts of Ayurveda. In present case study, a 45 years old obese patient visited Kayachikitsa OPD with complains of lethargy, weakness, excess sleep, lack of sexual desire and calf pain. He was diagnosed to …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 1–4 Read article