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1235 articles for “data analysis”
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An Integrating Multimodal Technologies and Ethical Frameworks in Addressing Challenges in Modern Wildlife Monitoring
Abstract: Wildlife monitoring plays a crucial role in understanding and conserving biodiversity, but traditional methods often have limitations in scope, accuracy, and ethical impact. Advances in multimodal technologies such as drones, acoustic sensors, environmental DNA (eDNA), and camera traps offer new avenues for gathering rich, non-invasive data. However, the integration of these technologies comes with a range of challenges, particularly in terms of ethical concerns related to animal welfare, data management, …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 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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Bloodline: A Efficient Interface for Urgent Blood Availability
Abstract: Blood donation and transfusion have long been critical issues, with blood shortages worldwide leading to many preventable deaths. One of the key challenges contributing to these shortages is the absence of a centralized system for managing blood donations. Traditional methods of blood collection are increasingly outdated in the digital age, highlighting the need for an automated system to streamline donation processes and provide information to those in need. To address …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 28–36 Read article
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Scientometric Insights and Meta-Analysis of Japanese Encephalitis Research in India
Abstract: Japanese Encephalitis (JE) represents India’s critical public health issue, contributing significantly to regional morbidity and mortality. This study details the findings from a scientometric analysis of JE research conducted in India. Our study analyzed scientific publications to uncover trends, key contributors, gaps, and the thematic evolution within JE research, providing insights critical for shaping future research and policy directions. A comprehensive scientometric analysis of research on JE published in India …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 43–53 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Assessing The Efficacy of Modern Biodiversity Conservation Approaches: Advancements and Challenges
Abstract: This study aims to offer valuable insights by investigating the advancements and challenges inherent in these strategies. Its objective is to assess whether these contemporary approaches have truly contributed to enhancing biodiversity conservation and fostering the sustainable utilization of resources, as compared to conventional historical practices. This study focuses on the different approaches of conservation and advancements, challenges and comparative analysis of biodiversity conservation. The goal of the biodiversity project …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 1–6 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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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Vaccination in the Era of Precision Medicine: Tailoring Immunization Strategies for Individual Risk Profiles
Abstract: The introduction of precision medicine has caused a paradigm change in the vaccine landscape. Conventionally, vaccination programmes have been homogeneous, targeting immunity at the population level without taking into consideration the individual differences in immune response and vulnerability to diseases that can be prevented by vaccination. However, a more individualised approach to immunisation has been made possible by current developments in genetics, immunology, and data analytics. Within the context of …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 32–47 Read article
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Geological and Geophysical Studies of the Ninety East Ridge: A Brief Review
Abstract: The Indian Ocean serves as a unique laboratory for studying the impact of both global and regional stressors on environmental changes over various geological epochs. Its distinct hydrological conditions and geographical location make it an ideal focal point for research into these phenomena. Of particular interest within the Indian Ocean is the Ninety East Ridge (NER), which holds significance as the world's longest linear rise. Researchers have long hypothesized that …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 8–19 Read article
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Agro- waste to Bioenergy Production in India
Abstract: The transition towards sustainable energy sources is imperative for mitigating environmental degradation and addressing energy security concerns. In the context of India, where biomass constitutes a significant portion of renewable energy potential, understanding its availability and utilization is paramount. The Biomass Resource Atlas of India serves as a comprehensive tool for assessing biomass resources, offering insights into regional and seasonal availability. However, despite substantial biomass generation, its utilization for power …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 27–40 Read article
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Traffic Management System using Divider Shifting Mechanism
Abstract: This paper addresses traffic congestion through innovative solutions, including movable dividers that adjust road configurations and lanes dynamically. Real-time monitoring, using sensors and cameras, coupled with advanced algorithms, optimizes traffic flow by reallocating lanes according to changing conditions such as rush-hour congestion or accidents. Additionally, the system integrates variable speed limits and dedicated lanes for pedestrians and cyclists to enhance safety and accommodate diverse transportation modes. Centralized integration with a …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 21–28 Read article
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Elections, Governance, And Democracy in Nigeria
Abstract: This paper investigated elections, governance, and democracy in Nigeria. Since independence in 1960, the State has continued to make significant progress towards democratization. Elections, which have served as a vehicle for conveying the interest of the people have been marred by irregularities, such as; voter intimidation, violence, and other allegations of fraud. These issues significantly undermine public trust in the electoral process, ruining its credibility and weakening the structures that …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 20–28 Read article
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article