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109 articles for “AI in finance”
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Emerging Technologies Reshaping Industries
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Comparative Study of Time Slice Windows Analysis and Impacted As-Planned Analysis for Data Center Construction Projects Using Primavera P6 24.12 Version
Abstract: Data centers are IT infrastructure that needs to be precisely scheduled and coordinated. Significant financial losses and operational failures may result from building delays. Stakeholders can assign blame and comprehend the reasons behind delays with the aid of forensic delay analysis. Because of their unique approaches and legal acceptability, TSWA, and IAPA are commonly used among the many strategies. These methods provide various ways to analyze project schedules and pinpoint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 33–51 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Literature of Green Architecture
Abstract: The term green architecture implies the use of environmental principles as the basis when designing buildings. In this perspective, the architecture of the future aims at synthesizing nature, technology, science, and even the imagination in the construction industry. The following paper explores green architecture on a generalized basis, which discusses its basic features, practices and the repercussions of green design on environmental sustainability. A key component of eco-architecture is to …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 1, 2024 · pp. 47–53 Read article
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Waste Segregation Using Image Processing
Abstract: The increasing waste generation rate necessitates effective waste management, as unmanaged waste poses significant harm to humans and the environment, causing climate changes and hindering national financial development. An automated waste segregation system is crucial to avoid these issues and reduce recycling complexity. Waste cannot be fully appreciated in terms of its significance and financial value until it is separated. A suggested smart waste sorting system uses image processing-based software …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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Closing the Loop: Innovative Strategies for Circular Economy and Sustainable Waste Management
Abstract: Africa’s growing waste crisis, especially in rapidly expanding cities across Nigeria, has made it increasingly clear that traditional “take–make–dispose” systems can no longer support sustainable development. This paper explores how shifting to a circular economy (CE) can transform waste from a persistent challenge into a valuable resource. Instead of seeing waste as an endpoint, the circular economy model encourages designing products for longer lifespans, rethinking consumption patterns, and recovering materials …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 123–139 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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Sustainable Waste Management through Polymer Recycling: A Review of Business Model and Managerial Innovation
Abstract: Plastic and other polymeric materials have transformed modern life by providing durability, versatility, and cost-effective solutions across industries such as packaging, healthcare, construction, and transportation. However, their extensive use and improper disposal have created significant environmental concerns, including plastic pollution, landfill accumulation, and marine ecosystem degradation. This review synthesizes existing literature on polymer recycling with a focus on business-model innovation and managerial practices that can support sustainable waste management at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 155–166 Read article
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A Systematic Review on Factors Contributing to Infertility
Abstract: Infertility is a multifactorial reproductive health condition affecting approximately 10–15% of couples worldwide and continues to represent a major clinical and social challenge. Despite substantial advances in assisted reproductive technologies, diagnostic methods, and therapeutic interventions, many couples still face difficulties in achieving pregnancy. The impact of infertility extends beyond physical health, often leading to emotional distress, social pressure, and financial burdens, especially in societies where parenthood is highly valued. Consequently, …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 31–35 Read article
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 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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Sustainable Approach for Waste Composites Management
Abstract: In our society, Waste Management (WM) plays a vital role. The complexities of waste management is discussed in introductory piece delves into exploring effective methods of handling it. The primary driver of increasing waste production is the growing global population. A challenging task is to tackle the vast amounts of waste generated required significant investment in labor, technology, financial resources, and expertise too. Varied strategies and techniques for managing solid …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–88 Read article
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Curbing Speculation vs. Market Participation: A Study of SEBI’s 2024 Derivatives Measures
Abstract: The derivative market has become a cornerstone of India’s financial ecosystem, complementing the traditional stock market by enabling risk management, price discovery, and liquidity enhancement. However, with the rapid growth of this segment, concerns over speculative activities have prompted regulatory intervention. On October 1, 2024, the Securities and Exchange Board of India (SEBI) introduced significant reforms aimed at curbing speculation, protecting retail investors, and fostering market stability. While these changes …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 28–43 Read article
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Economic and Technical Feasibility of Waste-to-Energy Conversion for Pollution Control
Abstract: This review study explores waste-to-energy (WtE) conversion's technical and economic viability as a pollution management strategy. The paper presents a critical review of WtE technologies and their potential contributions to pollution reduction considering the urgent need for sustainable waste management in the face of rising environmental issues. The evaluation of the literature includes a thorough investigation of WtE technologies and their development over time. Understanding the technological capabilities of different …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 25–30 Read article