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196 articles for “choice making”
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AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production
Abstract: As polymer composite processes become more difficult and environmental concerns increase, old supply chain models that just look at cost and operations have shown significant weaknesses when it comes to sustainability. The rising demand for environmentally friendly practices throughout a product’s life cycle requires a new process that makes sustainability a key element in making supply chain choices. The proposed framework was developed in response to this need by using …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 219–235 Read article
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Knowledge and attitude of postnatal mothers towards Human Breast Milk Banking in a selected Hospital
Abstract: Background: Breast milk is universally endorsed as unique, innate and vital feed, gifted by nature for neonates. Human Breast milk banks function as stockpile for women who are incapable to provide their own breast milk to their unwell or confined infants. In Indian scenario, donation of breast milk is an emerging notion and has been introduced among few metropolises across the nation. Unavailability to breastmilk foster infants more susceptible to …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 10–18 Read article
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Price Comparison with Sentimental Analysis
Abstract: The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer's busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
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Diabetes and Diet: An Overview
Abstract: Diabetes is a chronic progressive disease that needs lifestyle changes, especially within the areas of nutrition and physical activity. Unani system of medicine also lays down great stress on treating diabetes by administration of specific diets or by regulating the quality and quantity of food. Though we have learned much regarding the dietary treatment of diabetes during the past several decades but most patients with diabetes still have difficulty in …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 2, 2016 · pp. 28–32 Read article
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Designing Reliability Single Sampling Plans based on Exponentiated Rayleigh Distribution
Abstract: Reliability sampling plans are used in manufacturing industries to take decision on the disposition of lots of finished products based on the information obtained from concerned life test. Among various schemes, hybrid censoring scheme is applied with an objective of saving both time and cost of inspecting the products simultaneously. Parameters of the reliability sampling plans under hybrid censoring scheme are determined corresponding to the lifetime distribution. Exponential, Weibull, Rayleigh …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 36s–40s Read article
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Machine Learning Techniques Based on Sentiment Analysis for Drug Recommendation System
Abstract: A recommended system can help the user make sense of complex information and make well-considered choices. User-generated material is conveyed in human language in various nuanced ways, making it difficult to provide recommendations based on a study of attitudes. However, there has been a shortage of research devoted to health and medical concerns compared to more mainstream areas like product and media critiques and dining-out recommendations. Sentiment analysis (SA) of …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 83–94 Read article
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Development of Polymer-based Mulch Films for Disease Suppression
Abstract: Gerbera jamesonii [Gerbera daisy) is a popular flowering plant susceptible to various microbial diseases. This paper explores disease control strategies for gerberas, focusing on the potential of novel polymer-based mulch films. Conventional mulching practices offer benefits in gerbera cultivation, including weed suppression that helps control pathogens. However, limitations associated with traditional mulch materials necessitate exploring alternative solutions. This study investigates the development of biodegradable polymer-based mulch films specifically designed for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 856–863 Read article
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CPW feed Flexible Antenna for Wireless Applications
Abstract: Flexible Microstrip CPW Feed Antenna using flexible FR-4 substrate is analyzed and presented over here. The Copper is used as conductive material for patch and CPW feed respectively. The performance in terms of return loss, gain, VSWR and radiation pattern is evaluated. The impedance bandwidth and gain of flexible antenna is 20.25% (2.179 GHz-2.665 GHz), 21.44% (3.232 GHz-4.026 GHz) and 1.4 dBi, 0.009 dBi respectively. The flexible property of the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 18–24 Read article
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Memristor based Material Implication Logic for Implementation of Basic logic Gates and Circuits
Abstract: A physical memristor was realized a few years back by Hewlett Packard labs. Instantly it became the topic of interest for many scientists and researchers. Memristor has joined resistor, capacitor and inductor in the list of basic two-terminal passive circuit elements. Field Programmable Gate Arrays (FPGAs) have become a major choice of technology for the implementation of various digital circuits because they offer various features such as quick time to …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 1, 2018 · pp. 17–22 Read article
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Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference
Abstract: Java remains one of the most widely used programming languages across various industries, owing to its robust architecture, platform independence, and extensive ecosystem. Its versatility, scalability, and security make it a preferred choice for developing a wide range of applications, from enterprise software to mobile and web solutions. This study delves into the key factors contributing to Java’s sustained relevance in software development, highlighting its adaptability to evolving technological trends. …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 8–15 Read article
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Implementation of the Tridiagonal Matrix Algorithm (TDMA) in C: A Practical Approach
Abstract: This paper presents a practical implementation of the tridiagonal matrix algorithm (TDMA), also known as the Thomas algorithm, using the C programming language. The TDMA is a commonly used algorithm for solving systems of linear equations where the coefficient matrix is tridiagonal. The paper draws a detailed step-by-step process of the algorithm’s development, from forward elimination to backward substitution, with a focus on minimizing computational difficulty compared to standard Gaussian …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Deformation and Densification Behaviour of Sintered Aluminium Alloy and Chromium Carbide Metal Matrix Preforms
Abstract: This paper presents comprehensive experimental results focused on the deformation and densification behavior of sintered AA2618 - 2% Cr3C2 metal matrix preforms. The study specifically examines preforms with varying aspect ratios subjected to a cold upsetting process. To create the powder preforms, an initial theoretical density of 89% was achieved using a cylindrical die on a 600 kN hydraulic press. The sintering process was conducted in an electric muffle furnace, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–131 Read article
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Uses of Organic Fabrics in Home Interiors
Abstract: This paper explores the uses of organic fabrics in home interiors. Organic fabrics are gaining popularity in the field of interior design as more people become aware of the harmful effects that conventional fabrics have on the environment. These fabrics offer several benefits, including sustainability and durability making them a popular choice for interior designers. Organic fabrics can be used in various ways in home interiors, from bedding and curtains …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 1–16 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Current Trends and Future Trajectories: Polymer-Modified Concrete in the Context of Bangladesh
Abstract: Polymer-modified concrete (PMC) presents itself as a novel way to improve the characteristics of conventional concrete, tackling a variety of issues in the building industry. This paper explores the present dynamics and future potential of PMC, with a focus on Bangladesh, a fast-expanding country with unique environmental, economic, and infrastructure needs that call for the use of cutting-edge building materials. The benefits of polymer modification, such as increased durability, flexural …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 285–294 Read article
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Delay Analysis of HS-14T 45nm CMOS SRAM with Different SRAM Techniques for Improvement in Speed
Abstract: This paper presents a novel HS-14T design aimed at significantly improving read and write delays compared to conventional 6T and other memory cells RHRD-12T, SEUH-12T, and NHRC-14T. As technology scales, the demand for faster and more stable memory cells becomes increasingly critical. Our proposed HS-14T incorporates additional transistors to enhance stability and reduce access times, resulting in notable performance gains. Comprehensive simulations reveal that the HS-14T SRAM cell substantially reduces …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 1–13 Read article
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Centre Stage of Wireless Sensors in Healthcare: Application and Remote Patient Management
Abstract: The efficiency of wireless sensors in healthcare is greatly influenced by technological progress. The capabilities of these devices have been improved by advancements in wireless communication, data analytics, and sensor technologies. Patients may wear more comfortable, smaller, and more precise modern sensors. They have the ability to track many different physiological characteristics, ranging from simple vital signs to more intricate biomarkers. Understanding the massive volumes of data produced by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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A Random Forest Approach to Navigating Cryptocurrency Market Fluctuations
Abstract: This study looks at the main elements influencing daily price variations to improve our analysis and prediction of Bitcoin values. Our forecasting algorithm is based on comprehensive data that we have collected and analyzed over the last few years. Because the Random Forest algorithm provides more accurate forecasts than previous techniques, that is why we chose it. Predicting the price swings of cryptocurrencies, like Bitcoin, can be challenging due to …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 7–11 Read article