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327 articles for “investment strategies”
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Investigating the Effect of Communication Strategy and Commitment on Incident Reporting
Abstract: Incident reporting is extensively used in the mining industry. By far, certain factors such as behavior, communication culture and safety culture that influence its effectiveness have been investigated. However, the influence of other factors such as communication strategy and commitment of mine workers on incident reporting have not been established. This study investigates the effect of communication strategy and commitment of gold mine workers on incident reporting. The descriptive research …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 1, 2022 · pp. 21–29 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Investigation on Structural Behavior of RC Beam-Column Joints: State-of-the-art
Abstract: Beam-column joints (BCJs) are critical structural elements in buildings, influencing overall structural performance and safety. This review paper presents a comprehensive analysis of findings of research showing concern about various aspects of BCJs, focusing on eccentricity effect, numerical investigation, joint behavior, shear strength, retrofitting strategies, and recent advances. Through experimental studies, numerical simulations, and analytical approaches, various studies have made significant progress in understanding BCJ response to various loading circumstances …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 40–68 Read article
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Time Series Forecasting Based on PyAF and fbProphet
Abstract: Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 32–36 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks
Abstract: The internet of things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the IoT sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to IoT posed by cyberattacks. Ransomware is software that blocks access to or …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 14–23 Read article
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Optimizing Nutrient Utilization and Microbial Protein Synthesis in Ruminants: Strategies for Enhanced Feed Efficiency and Sustainable Productivity
Abstract: This review investigates strategies to optimize nutrient utilization and microbial protein synthesis in ruminants, aiming to improve feed efficiency and enhance overall livestock productivity sustainably. It focuses on key aspects of feed formulation, including balancing non-structural carbohydrates with protein sources, incorporating bypass proteins, and selecting high-quality forages that improve fiber digestibility. The review examines various feed processing techniques such as steam-flaking, pelleting, and ammonia treatment, which enhance nutrient bioavailability and …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Sustaining Investing with SIP: Nurturing Wealth and a Better Future
Abstract: Sustainable Investing with SIP encapsulates the idea of aligning financial goals with responsible investing practices for a more sustainable and prosperous future. SIP (Systematic Investment Plan) signifies a disciplined and systematic approach to investing, where individuals commit to regular contributions towards mutual funds at set intervals, fostering a sustainable and long-term investment strategy. Wealth accumulation implies the gradual growth and nurturing of wealth over time through SIP, emphasizing the patient …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 30–35 Read article
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Medicinal Properties of Oxytenanthera abyssinica: A Narrative Review
Abstract: Oxytenanthera abyssinica, a plant local to the African landmass, has gotten a parcel of intrigued in later a long time for its conceivable restorative benefits; it has been utilized in conventional medication for decades since of its assumed mending capabilities. In spite of its long history, careful logical examination into its restorative potential is being attempted. This review paper explore into the multidimensional part of O. Abyssinica is in progressed …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 Read article
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Integrated risk assessment framework for mixed use real estate development: Retail–office configuration
Abstract: Mixed-use real estate development is a multifaceted challenge that offers significant potential benefits, yet developers and urban planners face skepticism and uncertainty. Despite the promise of enhancing property values, promoting secure neighborhoods, stimulating economic vitality, and creating synergies, the associated risks demand a critical examination. This research seeks to address this gap by constructing a comprehensive risk assessment framework for mixed-use real estate projects. The literature review underscores the substantial …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 22–36 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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Harnessing the Medicinal Potential of SwertiaChirata: A Phytochemical Strategy for Controlling Coronavirus Symptoms Like High Fever and Anxiety
Abstract: The current investigation focuses on exploring the therapeutic capacities of SwertiaChirata, colloquially known as Chirata, in managing the symptomatic displays of coronavirus infections. Chirata, a member of the Gentianaceae family, is a distinguished herb extensively used in Ayurvedic and Unani medicinal traditions, acknowledged for its myriad of healing qualities. In addition to its regular use in combating fever and loss of appetite, its prominent antioxidant traits position it as an …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 27–31 Read article
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e-learning Platforms in Higher Education: An Analysis of Institutional Planning, Implementation and Evaluation Strategies
Abstract: This quantitative study investigates the impact of e-learning platforms on student learning outcomes in higher education, focusing on institutional planning, implementation, and evaluation strategies. A descriptive-correlational research design was employed, surveying 100 administrators, faculty, and students from various higher education institutions. The results show significant positive correlations between platform organization, user-friendliness, instructor feedback, technical support, and student motivation. Well-structured platforms with clear communication of learning objectives, quality technical support, and …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 41–49 Read article
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Enhancing Mutual Fund Investment Decision-making Using Machine Learning: A Survey
Abstract: In India, a significant portion of individuals save a part of their income for a secure future. Government and various public sector financial companies also provide some saving schemes through banks, post offices, and Life Insurance Corporation (LICs) such as Recurring Deposit (RD), Public Provident Fund (PPF), Sukanya Samridhhi Account (SSA) fixed deposits, etc. Over the past decade, many individuals have shifted their saving schemes to vigorously searching for investment …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 43–51 Read article
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Practical Strategies to Mitigate Acidosis in Dairy Cattle: Implications of Nutritional, Genetic, and Management Practices
Abstract: Acidosis in dairy cattle remains a critical concern, adversely affecting rumen health, milk production, and overall animal welfare. This study investigates practical strategies to mitigate acidosis through integrated nutritional, genetic, and management approaches. Nutritional strategies emphasize balancing forage-to-concentrate ratios, providing adequate fiber, and utilizing feed additives such as buffers, probiotics, and yeast cultures to stabilize rumen pH. The importance of gradual dietary transitions and monitoring total mixed ration (TMR) composition …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 27–44 Read article
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Strategies for Increasing User Engagement in Academic Libraries
Abstract: Traditionally viewed as repositories of books, libraries are now evolving into dynamic community hubs. But even with this change, many libraries are dealing with a drop in patronage in a world that is becoming more digital.libraries face declining user engagement in an increasingly digital world. This research investigates effective strategies to revitalise library engagement and ensure its enduring relevance. Drawing from professional experience in an educational institution's library, it is …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 1–5 Read article
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Climate Change and Economic Vulnerability in Pakistan: An Analysis of Future Risks
Abstract: This paper discussed effects of climate change on economic vulnerability in Pakistan. The findings show that the nation's economy is negatively impacted by climate change. Poverty, unemployment, crime, forest fire, diseases, migration, internal displacement, urban slum, flood etc. will be increase in future due to climate change. Biodiversity and economic balance will be disturbed. Food production, electricity supply, basic infrastructure will be badly affected. Development activities in water resources, as …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 39–46 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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Melanogenic Inhibitory Effects of Sesamum indicum Phytocompounds Towards CDK 2, c-KIT, and BRAF.
Abstract: Objective: Melanoma is thought to be the fifth most frequent cancer in the US population, despite cancer being the most common cause of death in the globe. BRAF, CDK2, and c-KIT proteins are regarded as potential therapeutic agents since mutations in these proteins are the primary cause of melanoma. For the investigation of their pharmacological properties and therapeutic activities against the target proteins, Sesamum indicum L. and its phytocompounds were …
Published in International Journal of Bioinformatics and Computational Biology Read article