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291 articles for “Time on the market”
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Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)
Abstract: The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness. In regions such as Nashik, Maharashtra—one of India’s major fruit- producing belts—the climatic variability, cultivar differences, monsoon patterns, and market- driven pressures make accurate harvest timing essential. Traditional maturity assessment relies on subjective visual inspection, specific gravity, or destructive testing, each of which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 Read article
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An Analysis of Effects of Digital Marketing by Looking at and Comprehending How It Affects Social Marketing
Abstract: This review work aims to assess the influence of digital marketing and examine its significance for both consumers and marketers. It begins with an exploration of the concept of digital marketing, followed by an elucidation of the various platforms utilized in digital marketing. Furthermore, it draws attention to the distinctions between traditional and digital marketing, outlining the advantages, disadvantages, and the crucial role of digital marketing in contemporary times.The global …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 10–14 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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GIS Based Fire Incident Emergency Response: A Case Study of Kano Urban Markets, Kano State, Nigeria
Abstract: Fire, a terrific type of disaster, can destroy properties and lives which in turn brings about physical, social, structural, economic and welfare disturbances in a community. Market fire is not an exception of such destruction. The aim of this research is to assess the markets’ fire emergency response with a view to optimize the use of road network for quick response to the incident in the study area. This study …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 2, 2017 · pp. 15–24 Read article
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E-Commerce and AI: Product Recommendation and Pricing
Abstract: E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 37–45 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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REALIZATION OF SUSTAINABLE CIVIL INFRASTRUCTURES THROUGH EFFECTIVE PROJECT MANAGEMENT IN A CHALLENGING ECONOMY
Abstract: Infrastructure and effective project management is a great challenge facing sustainable development of infrastructure in Third World Cities and Civil Engineers have a lot of roles to play in sustainable infrastructural development in a challenging economy. This paper examines ways of realizing sustainable infrastructures through project management and civil engineering practice. Secondary data from works of literature and notable information from engineers were utilized. Project management is very essential for …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Feature Based Time Estimation: A Review
Abstract: Productivity improvement is the need of current market and manufacturing sector globally and machining time plays a very important role in reducing cost and time. In this review paper author aims to study the various factors affecting the NC machining time estimation and also tries to study the available methods used for estimating it. Hence a new prototype feature based model has been developed for NC machine time estimation. This …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 39–44 Read article
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Revolutionising Marketing: Leveraging Blockchain and AI for Impactful Management
Abstract: In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 26–33 Read article
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Drug Product Registration in US, EUROPE, JAPAN and CANADA for New Drug and Generics
Abstract: Getting a marketing approval includes various junctures such as getting drug substances from approved vendors, finished product development, clinical studies, plant inspection, dossier writing and finally submission to authorities. US, Europe, Japan and Canada are the countries which are regulated for the approval of pharmaceutical products. These countries follow the ICH guidelines for the registration of drug of drug product. But each country has different type of application for the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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Big Data Application in Manufacturing and Supply Chain Management: A Comprehensive Review
Abstract: This review paper synthesizes findings from ten recent studies on the application of big data analytics in manufacturing, supply chain management, and related fields. The papers examined cover a range of topics including sustainable manufacturing, green supply chain management, predictive maintenance, and semiconductor manufacturing. This review aims to provide a comprehensive overview of the current state of research in these areas, highlighting key trends, methodologies, and opportunities for future work. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 8–17 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets
Abstract: AbstractThe aim of this paper is to propose a relatively new approach regarding the influence of financial news on stock market prices. Previously, a lot of effort and research has been done to study the effect of historical stock market prices. This approach mainly involved time series numerical data to predict the future trend of stock markets. But, with the advent of superior computing power and computing techniques such as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 17–24 Read article
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Industry 4.0 and Smart Supply Chains: Transforming Supply Chain Processes for Enhanced Efficiency and Sustainability
Abstract: The fourth industrial revolution, or Industry 4.0, is an important transformation in how industries function via the use of cutting-edge digital technology. Supply chain management is being substantially altered by integrating technologies like blockchain, big data, automated processes, artificial intelligence, and the internet of things into typical operations of the supply chain. With the help of these technologies, corporations can design intelligent supply chains that are more effective, flexible, and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 36–41 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Quick Service: A Scalable Multi-Service Web Platform—A Microservices Approach for Seamless Integration
Abstract: This study proposes a model designed to save both time and cost for individuals seeking convenient access to a variety of services. In today’s fast-paced lifestyle, people often require quick and reliable solutions that can be tailored to their immediate needs. Our approach focuses on delivering multiple on-demand services that can cater to both individuals and businesses, ensuring that essential tasks are completed efficiently and on time in many emerging …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 26–45 Read article
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Single Point Incremental Forming: A Review
Abstract: There are many forming processes, being used in the global market for a long time. Many conventional sheet forming processes are tedious and time taking in development and design as well. In order to solve these problems, single point incremental forming (SPIF) is introduced which is a modern method for metal sheet forming, where parts can be formed without the use of dedicated dies. In this review, forming process particularly …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 1–5 Read article
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Revolutionizing Product Marketing: Harnessing the Power of AI/ML
Abstract: The rapid convergence of artificial intelligence (AI) and machine learning (ML) technologies in marketing has ushered in a new era of product promotion and engagement. This study delves into the many ways in which AI/ML can revolutionize product marketing strategies, showing a comprehensive range of methods and tools available. The presented high-level architecture illustrates the interconnectedness of AI-based marketing components, ranging from personalized recommendations and chatbots to sentiment analysis and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 45–52 Read article
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Real Time Stability Index for Angle Stability Assessment Using Synchrophasor Data
Abstract: The stress on the power transmission network has been increasing in recent time due to deregulated energy market, environmental constraints and limited investment in the transmission system. Hence, the power system is enforced to operate nearer to the stability limit and due to which it is required to estimate the system operating point as fast as possible with higher accuracy to maintain the system stability. The objective of this paper …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 65–75 Read article