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358 articles for “lead time”
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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A Decade of Research on Polymer Manufacturing and Industry 4.0 Integration: A Comprehensive Bibliometric Review of Industry
Abstract: The advent of Industry 4.0 has brought a transformative revolution to the manufacturing sector by integrating advanced polymer technologies with intelligent, interconnected, and data-driven production systems. These developments have significantly reshaped industrial operations by improving efficiency, enhancing production flexibility, and enabling innovative manufacturing practices. Smart polymer processing, supported by automation, artificial intelligence, the Internet of Things (IoT), and real-time data analytics, allows manufacturers to optimize resource utilization, reduce waste, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1897–1905 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Impact of Urbanization on Biodiversity Hotspot: A Case of Bhubaneswar City
Abstract: Urbanization has contributed to pollution and generation of waste heat leading to changes in the urban heat balance thereby influencing its microclimate. Urban regions confront heightened heat wave conditions due to urban heat island (UHI) impact, which is a result of anthropogenic effects on both surface and atmospheric temperature patterns relative to the natural environment. The investigation was carried out in a 20-km radius around the city of Bhubaneswar. The …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 20–28 Read article
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Insulin : Comprehensive review on its Crucial Role in Metabolism and Disease Management
Abstract: Insulin's pivotal function lies in meticulously regulating blood sugar levels, thus guaranteeing cells access to the necessary energy for optimal functionality. When there is a rise in blood sugar, after a meal, the releases insulin gets released from the pancreas to facilitate the uptake of glucose by cells. Insulin primarily acts on muscle, fat, and liver cells, promoting the uptake of glucose from the blood. Another way to store glucose …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 37–43 Read article
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Design and Implementation of an IoT-Based Power Theft Detection System Using Sensor Networks
Abstract: With the increasing demand for efficient energy distribution and consumption monitoring in smart grid systems, the need for robust power theft detection mechanisms becomes paramount. This project proposes an IoT-based solution utilizing energy metering to detect instances of power theft within different segments of the distribution network. The system employs three types of energy meters: Distribution Point (DP), Pole, and Domestic meters. Every meter is positioned thoughtfully to track the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Enhancing Energy Efficiency in Air Handling Units Through AI Driven Optimization
Abstract: This research explores the implementation of artificial intelligence (AI) in enhancing the energy efficiency of Air Handling Units (AHUs) in manufacturing facilities. The study proposes a comprehensive solution architecture that incorporates temperature and humidity sensors within AHUs, utilizing RS485 for data communication. The collected data undergoes exploratory analysis, which informs the training of a decision tree algorithm, chosen for its accuracy and compatibility with edge gateways. The algorithm's predictions enable …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Clinical experience with Ayurvedic Treatment in Case of Rheumatoid Arthritis – Ayurvedic review and Case study
Abstract: Rheumatoid arthritis is the most found inflammatory auto immune disease with unknown etiology. Many clinical features and treatment strategies of RA are associated with multiple joint diseases. The clinical phenotype of Rhematoid arthritis is a symmetrical, deformed polyarthritis of small and large joints, which is often associated with features of the disease. The treatment typically involves ongoing management with periods of worsening symptoms followed by periods of improvement. Features of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Injection Parameters Setting in High-Pressure Die Casting
Abstract: The advancement of science and processing technology is highly essential for the development of human civilization for a better life. Mass production leads to the availability of goods at a lesser price. Aluminium die-cast components are widely used in the automobile, aerospace, and consumer goods market. Proper process parameters are required to produce components with minimum rejections and scrap. This paper studies optimum injection parameters to produce components without defects. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 135–142 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 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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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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Evaluation and Study of The chemical Pollution Ratio of Dams Water in Najaf Governorate and The surrounding Environments
Abstract: The importance of water and the urgent need for a clean environment free from pollutants has drawn our attention and focused in this study on estimating and evaluating ionic pollutants of elements (iron, chromium, lead, manganese) in the water of dams in Najaf Governorate and the surrounding areas. The study included four dams, namely ()Al-Mushkhab Dam, Al-Hindiya Dam, Shatt Al-Kufa, and Umm Abbasiyat Dam)( to determine the percentage of pollution …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Comprehensive Review of Nanomaterials Synthesis Methods, Characterization and Multifaceted Applications in Medical Field
Abstract: Nanomaterials associated by special qualities derived from their nanoscale size nanomaterials have tremendous potential in a variety of industries like, medicine & healthcare. Due to today busy life & unhealthy life schedule many abnormal cell growth take place in our body & affect the other organ. Sometimes it may leads to cancer & others dangerous diseases, nanomaterials such as nanotubes, liposomes & polymeric micelles are help for designing the drugs …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 657–669 Read article
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Performance Testing of Arduino-Based Hybrid Solar Dryer for Drying Apple Slices
Abstract: A novel and high-efficiency hybrid solar dryer was designed and developed in this study to dry apple slices. The thermal analysis of the dryer is conducted by calculating collector efficiency, drying rate, and drying efficiency. Integrating an Arduino-based temperature and humidity monitoring system in a hybrid solar dryer enhances the ability to optimize performance and efficiency. Both the collector and drying chamber are made of aluminum sheet as it has …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1872–1886 Read article