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62 articles for “advanced data structures”
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A Study on Measures to Improve Digital Education and Technological Advancement Towards Tribal Community Enrichment and Life Satisfaction - Nilgiri District – TN
Abstract: This study examines measures to enhance digital education and technological advancement for the enrichment of tribal communities and life satisfaction in the Nilgiri district, Tamil Nadu. The research aims to assess the current state of digital education accessibility, identify challenges faced by tribal populations, and propose strategies to bridge the digital divide. Using a structured questionnaire, primary data was collected from 60 respondents, including students, educators, and community members, selected …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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A Study on the Role of Women’s Involvement in Fisheries and Aquaculture with Reference to the Mumbai Region
Abstract: Women play a crucial role in the fisheries and aquaculture sector, engaging in activities such as fish processing, marketing, and aquaculture management. Although they make major contributions, they frequently encounter socio-economic difficulties, such as limited access to funding, technological tools, and skill development opportunities. In the Mumbai region, women’s involvement in the fisheries industry is essential for economic sustainability, yet financial constraints and inadequate infrastructure restrict their growth and leadership …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Role of Gastric Receptors in Gastrointestinal Disorder
Abstract: The established and potential roles of cholecystokinin1 and cholecystokinin2 receptors in gastrointestinal and metabolic diseases are analyzed, along with findings from human studies involving agonists and antagonists. While there is considerable evidence implicating cholecystokinin1R in various diseases such as pancreatic disorders, motility disorders, tumor growth, satiety regulation, and cholecystokinin-deficient states, its specific role in these conditions remains ambiguous. Conversely, the role of cholecystokinin2R in physiological (e.g., atrophic gastritis) and pathological …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 37–49 Read article
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Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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A Pre-experimental Evaluation of a Structured Educational Program on Awareness of Mosquito-borne Diseases in Senior Secondary School Students in Punjab
Abstract: Introduction: Mosquitoes constitute the most important single family of insects from the standpoint of human health. They are found all over the world. The four important groups of mosquitoes in India that are related to disease transmission are the Anopheles, Culex, Aedes, and Mansonia. Aims: The aims of the study are to assess the effectiveness of structured teaching program on knowledge regarding mosquito-borne diseases among students of senior secondary schools …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Investigations of Mechanical Testing and its Effects on Lithium Ion Battery and Battery Pack for Electric Vehicle Application
Abstract: This research delves into the comprehensive study of mechanical testing methodologies and their consequential impact on the structural integrity, safety, and performance of Lithium-Ion batteries (Li-ion) and battery packs designed for electric vehicle (EV) applications. The investigation aims to enhance the understanding of mechanical stressors' influence on the reliability and safety of energy storage systems crucial for the sustainable advancement of electric mobility. The paper opens with mechanical testing protocols …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 35–49 Read article
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Ecomotion Cityglide Commuter E-Bike
Abstract: The transition from conventional gasoline motorcycles to electric bikes represents a pivotal step in addressing the increasing demand for sustainable transportation solutions in urban environments. This paper meticulously explores the multifaceted aspects of this transition, focusing on the technological advancements, design innovations, and societal implications associated with the adoption of electric bikes. Electric bikes, powered by Brushless DC (BLDC) motors and rechargeable battery packs, offer a suite of benefits over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 43–49 Read article
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Strategies for Flood Mitigation
Abstract: The world has always experienced change. Water-too much or too little is the most common cause of migration and a city's downfall. The notable and significant distinction right now is that we are seeing it in real-time for the first time in human history. We contributed to the dangers that were produced, and we contributed to the remedies that will influence the pace and scope of change and disruption. We …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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A Study on Breast-feeding Self-Efficacy and Its Associated Factors Among Mothers
Abstract: Introduction: The process through which a kid is fed human breast milk is known as breastfeeding. Breastfeeding has a significant impact on disease prevention and health promotion. It helps to increase bonding with baby and mother. Oestrogen, progesterone, prolactin, and oxytocin are the four primary hormones that contribute to the production of breastmilk. A modifiable element that can improve breastfeeding success and duration is breastfeeding self-efficacy. Aim: To evaluate mothers' …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 31–36 Read article
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Neuroimaging in Clinical Trials for Huntington’s Disease: Emerging Research Findings: The Advancement Directions and Implications
Abstract: Neuroimaging is very important in coordinating and conducting Huntington’s disease clinical trials as a tool in selecting patients, managing safety concerns, and assessing the benefits of interventions. This review presents the current uses and potential future uses of structural and functional magnetic resonance imaging (MRI), diffusion imaging, positron emission tomography (PET), proton magnetic resonance spectroscopy (MRS), perfusion imaging, and magneto encephalography (MEG) in HD trials. We describe how these modalities …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 32–44 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Universities in India: Study of Various Types of Universities Operational in India as of 2024 From Faculty Perspective
Abstract: The Indian university system, a legacy of British colonial rule, has witnessed significant growth post-independence. The recent implementation of the National Education Policy (NEP) 2020 further accelerates this expansion, aiming to dismantle the affiliation system and foster the growth of autonomous colleges and universities. This study explores the forms, traits, and difficulties of Indian universities, revealing their variegated environment. It looks at how various institutions respond to the rising demand …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 62–73 Read article
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Cattle Health Monitorng System with Smart Shelter
Abstract: The primary methods of managing cows prior to the development of modern cow health monitoring systems with smart shelters were manual intervention by farmers and traditional processes. These techniques were often less precise and more labour-intensive than modern technical alternatives. Livestock shelters used to often be simple structures, such as sheds or barns, that provided basic weather protection. These shelters lacked modern conveniences like climate control and mechanized feeding systems. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 15–20 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article