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54 articles for “financial performance”
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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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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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An Analysis of the Pradhan Mantri Mudra Yojana Footprint. A Case Study of Mizoram
Abstract: The goal of self-reliant India aka ‘Atmanirbhar Bharat’ can be achieved when all of its citizens are self-reliant. The Pradhan Mantri Mudra Yojana is a program designed to promote entrepreneurship through the provision of microfinancing. This initiative aims to empower individual citizens to become financially independent, which in turn supports the nation’s overall economic self-sufficiency and aligns with the ‘Atmanirbhar Bharat’ vision. Since the launch of PMMY in 2015, there …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 · pp. 7–18 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Challenges And Constraints Affecting Female-Owned Rural Farm Businesses in Plateau State, Nigeria
Abstract: This study examined the challenges and constraints affecting female-owned rural farm businesses in Plateau State, Nigeria. No prior study had conducted a comprehensive, quantitative, state-wide investigation covering all 17 local government areas (LGAs) of the state, and this study addressed that gap. The objectives were to identify the challenges faced by female-owned rural farm businesses, assess their relationship with business performance, and determine how strongly these challenges predicted performance outcomes. …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 1–13 Read article
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Intelligent Transportation System Avoids Collision by Disseminate the Warning Messages in Vehicular Ad Hoc Network
Abstract: Roads overload leftovers a critical issue while they are invariably increased so as to increase their capacity and enhance their effectiveness. This can be likely to cause many troubles specified ecologically, financially, and socially. The progress of urban traffic management systems, structure and development of roads are solutions to handle this problem and acquire better the performance of the road transmission, but these solutions are high-priced and need extra space …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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An Empirical Study on USA Tariff on Indian Sectorial Mutual Fund
Abstract: This study examines the impact of USA tariff on sectorial mutual fund of India. Any type of tariff has significant impact on trade in all over the world. In today’s world, is interconnected with each other so any impact on one country has significantly impact on all over the world. India has impacted in periodic tariff increase on Indian goods, directly affecting export competitiveness, financial result, and economic market. Sectorial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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Design and Analysis of a 100 kWp Grid Connected PV Solar Plant at a Coastal Area of Bangladesh
Abstract: In Bangladesh, the usage of electricity is continuously increasing. Govt. is also trying to increase the electricity production by installing new power plants to meet the additional power demands. Most of the power plants are natural gas-based, coal-based or nuclear power-based. Considering the greenhouse effect; solar power plants could be one of the best solutions to meet the additional power demands as well as it has a lot of financial …
Published in Journal of Power Electronics and Power Systems 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
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Enhancing Security of UPI Payments Through Artificial Intelligence
Abstract: The integration of Artificial Intelligence (AI) into modern digital payment systems has brought about a significant transformation in the banking and financial sector. Among these systems, the Unified Payments Interface (UPI), developed by the National Payments Corporation of India (NPCI), has emerged as one of the most successful real-time payment mechanisms due to its simplicity, accessibility, and efficiency. With the incorporation of AI technologies, UPI has witnessed notable improvements in …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 7–12 Read article
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Impact of Specially Prepared Food on Indian Big Carp Growth in West Bengal, India’s Cooch Behar District
Abstract: This four-year longitudinal study (2008–2012) in the Cooch Behar District of West Bengal, India, utilized on-farm ponds to evaluate the comparative growth performance of Indian Major Carps (IMCs) – Catla catla, Labeo rohita, and Cirrhinus mrigala – when subjected to four distinct supplementary feed formulations: fishmeal (A), soybean meal (B), silkworm pupae (C), and mustard oilcake (D). The experimental design contrasted treated ponds receiving formulated feed against control ponds relying …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Enhancing Sustainability and Safety in India's Process Industry Through Targeted Innovations
Abstract: The process industry operates within a highly intricate and high-risk environment, necessitating well-structured strategies to safeguard workers, maintain safety standards, and preserve environmental integrity. This study explores the impact of diverse safety interventions designed to enhance health, safety, and environmental performance. It evaluates multiple approaches, including engineering solutions, procedural controls, protective gear, and behavioral adjustments, aimed at mitigating risks such as chemical spills, fires, explosions, equipment failures, and occupational health …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Heat Stress Mitigation in Resource-Constrained Dairy Farming Systems: Practical Strategies for Sustainable Development
Abstract: Heat stress poses a critical threat to dairy production, particularly in resource-constrained systems prevalent across tropical and subtropical regions. Elevated ambient temperatures, compounded by high humidity, directly impair feed intake, milk yield, reproductive efficiency, and overall animal welfare. In low-resource settings, conventional cooling technologies such as automated fans, sprinklers, and climate-controlled housing remain economically inaccessible. Therefore, cost-effective, locally adaptable, and sustainable solutions are essential for maintaining productivity and animal health. …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article
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Silage Beyond Green Fodder: Nutritional, Health, Economic and Environmental Implications for Sustainable Livestock Production
Abstract: Silage is a pivotal component in modern livestock feeding systems, offering far more than just an alternative to green fodder. This study explores the multifaceted roles of silage in enhancing livestock nutrition, health, and overall farm sustainability. The preservation of crops through fermentation allows for year-round availability of high-quality feed, ensuring consistent nutritional intake, particularly during periods of forage scarcity. Beyond its basic function as a feedstuff, silage improves the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 01–23 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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A Low Embodied Energy Approach for Early Design Decisions in Agritourism Centers in Pune
Abstract: Agritourism is an idea that empowers and trains the rural family, organization, or individual to generate alternative sources of income by transforming their traditional agricultural land into a tourist attraction. Agritourism is the practice of attracting visitors to an area used primarily for agricultural purposes. It could be described as – rural/agricultural environments + farm commodities + tourism services = agritourism. It gives visitors an experience to stay in a …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 29–41 Read article