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116 articles for “business model”
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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A Comprehensive Analysis of Various Payment Gateways for Web-based Food Ordering
Abstract: The digital revolution has ushered in profound transformations across industries, and the online food sector stands at the forefront of this evolution. With consumers increasingly prioritizing convenience and accessibility, the online food industry has witnessed unprecedented growth. In this dynamic landscape, payment gateways have emerged as indispensable components, facilitating seamless transactions and driving operational efficiency for online food restaurant websites. This research article endeavors to conduct a comprehensive analysis of …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Revolutionizing Financial Technology: AI and FinTech
Abstract: The ground-breaking notion of incorporating AI into financial technology by entering the market has been steadily advancing toward dominance. It has become a lever steering innovation, increasing the pace of productivity and minimizing the likelihood of risk. From digital banking to insurance and payments to compliance with regulations, AI is playing the role of a veteran guide to reinvent the old FinTech models and readdress them as a modernistic and …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 07–13 Read article
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Rainfall Runoff Modeling Using SCS-CN Method: A GIS Based Case Study of Pawana Watershed
Abstract: In a country over 125 million, we are proudly an agricultural based economy, wherein 51% of population is indulged in any business related to somehow with agriculture. Of course, we still are in a developing stage as far as methodologies or their implementation is concerned. But surely somewhere we have started focusing on modern techniques and strategies to improve pattern, productivity, profit and all. The two vital natural resources required …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 50–58 Read article
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Evaluation of Industry 4.0 Adoption Obstacles Through the Use of SMEs
Abstract: Industry 4.0 offers significant technology advancements, but businesses must overcome several obstacles before implementing it. Although a lot of work has gone into identifying the hurdles that most businesses face, the literature currently in publication has not taken the time to examine how these barriers relate to one another or what that means for practitioners. Within the framework of Portugal's manufacturing sector, we employ the interpretative structural modelling (ISM) technique …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
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Study of PBX and its Subsequent Development in Intercom System
Abstract: A private branch exchange (PBX) is a telephone exchange that serves a particular business or office. It operates as a connection between a private organization - usually a business organization and the public switched telephone network (PSTN). However, the particular development of PBX in its prototype model is both expensive and not feasible. Hence, proposed project work is limited to study of PBX and a suitable prototype model it’s devised …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 12–16 Read article
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Cutting-Edge Developments and Innovations in Amazon Web Services (AWS)
Abstract: In 2025, Amazon Web Services (AWS) continues to dominate the cloud computing industry through groundbreaking innovations in artificial intelligence (AI), strategic partnerships, data center advancements, and expansion into new markets. These initiatives help AWS maintain its position as a top provider of secure, scalable, and efficient cloud services, adapting to the ever-changing demands of businesses across the globe. One of AWS’s most significant advancements is its AI-driven cloud services, which …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 01–08 Read article
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Impact of Information Technology Tools and AI on Supply Chain Management of Indian Automobile Industry
Abstract: This article aims to enhance the efficiency and effectiveness of the supply chain within the Indian automotive sector through the application of innovative information technology tools and artificial intelligence. To achieve this goal, the study focuses on three main objectives: identifying key driving factors through an extensive literature review, analyzing the interrelationships among these factors, and prioritizing them based on their importance. In today's competitive environment, customer satisfaction is paramount …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 19–27 Read article
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Cloud Convergence under IOT: Hurdles and Positives
Abstract: The success of the IoT world needs service provision attributed with omnipresence, dependableness, superior, efficiency, and measurability. So as to accomplish this attribution, future business and analysis vision is to merge the cloud computing and IoT ideas, i.e., alter an ‘Everything as a Service’ model: specifically, a cloud scheme, encompassing novel practicality and cognitive-IoT capabilities, can be provided. Thence the paper can describe an innovative IoT central cloud sensible infrastructure …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 9–12 Read article
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Significant Advances in Cloud Computing in Information and Communications Technology
Abstract: The critical advances in information and communications technology (ICT) over the last half-century have led to the increasingly common vision that computing will one day become the 5th utility. This computing utility will provide the essential level of computing service considered basic to meet the everyday needs of the general public. To convey this vision, a number of computing models have been proposed, with the most recent being cloud computing. …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Product Replacement Strategies for Perishable Inventory Systems using Queuing Theory
Abstract: Inventory management plays a crucial role in managing production processes as well as the supply chains. The study of inventory systems with perishable products has a special significance as it influences the cost and revenue of a firm. Product replacement strategies act like safeguards to the retailers (firms) dealing with the business of perishable products. An inventory system with perishable products and product replacement is studied. A finite capacity multi-channel …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 18–25 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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A Comparative Review of AI-driven 3D Modelling for Simplified Photogrammetry and Object Acquisition
Abstract: The field of photogrammetry, historically reliant on guide strategies, is undergoing a transformation with the emergence of AI-powered 3d modeling answers. This assessment work delves into this evolving panorama by using evaluating and comparing various AI-pushed gear presented by means of exclusive businesses. The study in particular makes a specialty of their effectiveness in simplifying photogrammetry workflows and facilitating the acquisition of 3D gadgets. The analysis contains a diverse range …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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NLP Revolution in Education Feedback Analysis: Trends and Challenges
Abstract: Artificial Intelligence (AI) is a rapidly growing area of study in many domains like research and business. Various subsets of AI, such as Machine Learning, Deep Learning, and Natural Language Processing (NLP), are employed to address diverse aspects of data processing and modeling. This review is about the impact of AI on the education system and students feedback for the analysis is required for the enhancement of the technology used …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 21–25 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Barriers to Evaluate Low Carbon Supply Chain Management Practices in Manufacturing Industries
Abstract: AbstractMaintainability has been turning into a basic examination plan among the analysts/experts to accomplish biological cultural just as monetary advantages. As the occasion, Sustainable Supply Chain Management (SSCM) rehearses are at extremely beginning stage in creating nations like India because of presence of numerous obstacles. In present examination, an exertion has been made to distinguish furthermore, assess jumps in actualizing SSCM in Indian car area. Writing survey approach and specialists' …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 24–29 Read article