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152 articles for “market analysis”
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Determinants of Smallholder Farmers Quantity of Coffea arabica L., Supply to Market: A Case of Gimbo District, Kaffa Zone, Ethiopia
Abstract: This study investigates the factors influencing the market supply of coffee in various districts of the Gimbo District, Kaffa Zone, in Southwest Ethiopia. Coffee is Ethiopia's most significant export crop, recognized for its extensive genetic diversity and its substantial contribution to the country's GDP. Despite the district's strong production capacity, the marketing structure remains predominantly traditional, compelling producers to sell through conventional channels that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 107–120 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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A Comparative Financial Performance Assessment of Select FMCG Companies in India: Evidence from HUL and Britannia Industries
Abstract: This study takes a close look at the financial performance of two major players in India’s FMCG sector: Hindustan Unilever Limited (HUL) and Britannia Industries Limited (BIL). It covers the period from FY 2022–23 to FY 2024–25, with a focus on how each company manages its finances, grows its business, and keeps profits up in a market that’s always competitive. The analysis relies on secondary data from published annual reports …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 51–67 Read article
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Pharmacovigilance: Enhancing Drug Safety Through Technology
Abstract: The research and practices surrounding the identification, evaluation, and avoidance of hazardous medication responses in people are known as pharmacovigilance. Pharmacovigilance has been defined as a kind of ongoing observation of side effects and other safety-related features of medications that have previously been introduced to the market. Pharmacovigilance has been shown to be crucial in promoting the sensible use of medications by disseminating knowledge about the negative effects that pharmaceuticals …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 38–44 Read article
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Sentimental Analysis in Twitter Using Python
Abstract: Social media websites are a great source of information because they have a lot of data. For instance, Twitter generates millions of packets of text. These statistics may be employed for commercial or charitable purposes. One of the hottest new buzzwords for many business strategies is the analysis of data from these social networking websites. Sentimental analysis can be used to manage election campaigns, global health problems, technical concepts, inventions, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 28–32 Read article
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Design and Analysis of Thermoelectric Dc boost converter
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Product Life Cycle Management and Its Influence on Food Product Development
Abstract: This article examines the significance of product life cycle management (PLM) in the food industry, with a particular focus on how it affects the development of new products (NPD). This review addresses the intricacies and difficulties that food companies have in the current cutthroat industry, emphasizing the necessity of an organized approach to NPD to preserve market relevance and competitive advantage. Reviews describe the introduction, growth, maturity, and decline phases …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–31 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 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
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Market Architecture, an Effect of Roadside Trading in Port Harcourt Metropolis. A Case Study of Rumu-Woji Market, Rivers State, Nigeria
Abstract: The challenges of road side trading along major market roads in Port Harcourt Metropolis has brought about certain menace to the city. The efforts put in place by the Rivers State government to eradicate the act of roadside trading along market roads have been proven abortive. Various means employed by the government to stop the act of roadside trading have not been successful such as, relocation of traders, barricading market …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 36–46 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Survey of Consumer Preference Towards E-commerce
Abstract: E-Commerce has undergone a tremendous shift in the age of globalization. Most corporate organizations have been using this technology to sell their various products for the past 10 years. For consumers in developing countries like India, online shopping offers a radically different buying experience. One of the tools available for online shopping is the facility. Numerous shoppers are attracted by the substantial discounts and offers made by the online vendors. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 2, 2024 · pp. 9–15 Read article
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Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
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Impact of Transit System on Housing Property Value in Order to Assess Transit-induced Gentrification
Abstract: Today, the rapid transport system (RTS) stands as an indispensable solution to meet the travel demands of urban agglomerations worldwide. Ongoing research in this field underscores its significance. The implementation of RTS not only alleviates city traffic congestion but also contributes to achieving sustainability goals. Furthermore, assessing economic benefits with precision emerges as a crucial parameter for examination and analysis. In this context, a study was conducted to examine the …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 28–36 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Regulations for Toothbrushes: A Comparative Study Between India, the US, Europe, and Australia
Abstract: Toothbrushes are essential tools for maintaining oral hygiene, making their regulation vital for consumer safety and health efficacy. This article presents a comparative analysis of toothbrush regulations in India, the United States, Europe, and Australia, highlighting the unique frameworks each region has developed to address manufacturing, distribution, and marketing challenges. In India, the Bureau of Indian Standards (BIS) and the Food Safety and Standards Authority of India (FSSAI) set safety …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 1–6 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article