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1967 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Flexural Vibration of Non-Uniform Beam on Bi-Parametric Foundation Under Harmonic Moving Load with Non-Classical Boundary Conditions
Abstract: The dynamic response to harmonically varying moving loads of non-uniform elastic beam resting on bi-parametric foundation with non-classical boundary condition, time dependent in particular is examined in this paper. Here, the beam is considered non-uniform, with the moment of inertia and the distributed mass varying continuously along the span L as functions of the position 𝑥. In order to guarantee a more stable structure and a reduce risk of resonance, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 28–42 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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A Descriptive Study to Assess the Knowledge Regarding Sexual Abuse Among Adolescent Girls at Government Senior Secondary School, Shri Goindwal Sahib
Abstract: Introduction: Sexual abuse, also known as molestation, is characterized by one individual engaging in abusive sexual behavior towards another. This can involve the use of force or the exploitation of the other person. Molestation typically denotes a single occurrence of sexual assault, particularly against a young child, while sexual abuse is a term used to describe an ongoing pattern of such assaults. This term encompasses actions by an adult or …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 28–33 Read article
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Evaluation of the Understanding of Home Remedies for Managing Dysmenorrhea Among Adolescent Girls in Selected School of Vaniyamkulam Panchayat
Abstract: Background: India possesses a significant adolescent population critical to its future development. Addressing the health needs of this group is imperative for progress. Dysmenorrhea, characterized by painful menstrual cramps, is prevalent among adolescent girls, and home remedies are commonly used for management. This study aimed to evaluate the knowledge of home remedies for dysmenorrhea among girls at TRK Higher Secondary School in Vaniyamkulam. Objectives: The research had two main objectives: …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 52–60 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Comparative Evaluation of the Use of LSTR with Double Antibiotic Paste Versus Zinc Oxide Eugenol as Obturating Material in Primary Teeth Pulpectomy
Abstract: The management of infected primary teeth is a vital aspect of pediatric dentistry, with the primary objective being the retention of the tooth in the oral cavity until its natural exfoliation. Preserving the health, structure, and appearance of primary teeth is essential for ensuring the correct eruption and alignment of permanent teeth. Pulpectomy has traditionally been the preferred treatment for primary teeth with irreversible pulp damage. Traditionally, Zinc Oxide Eugenol …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 1–5 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Design and Analysis of S-Glass Heat Exchanger
Abstract: This research work focuses on the composite material named S-Glass fibre Heat Exchanger, since the existing designs of heat exchangers are generally made up of metals which produce a critical amount of heat loss to the surrounding from the shell. These are also less corrosive resistant, have low life and high weight. To overcome these drawbacks, use of composite materials has become essential. There is a need to redesign it …
Published in Journal of Thermal Engineering and Applications Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Parameter Identification of Vibrating MIMO Mass-Spring-Damper Mechanical Systems with Coulomb Friction
Abstract: This study presents a time-domain method for identifying parameters in multi-degree-of-freedom (DOF) linear mass-spring-damper systems that include Coulomb friction, where the friction coefficient varies within a limited range, using measurements of position and control force. For mass identification in single-degree-of-freedom (DOF) vibrating mechanical systems with stiffness and no damping but Coulomb friction, the friction term is eliminated by first derivative processing. In addition, the identification of the coefficient of friction …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 20–34 Read article
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Sustainable Supply Chain Models for Polymer and Composite Manufacturing: A Data-Driven Assessment of Circular Material Flows
Abstract: Polymer and composite manufacturing is faced with growing demands in waste reduction, resource management, and making a shift towards circular economy principles. Although urgent, the adoption of data-driven tools in each step of a supply chain to facilitate efficient cyclic material flows is low. This paper designs and empirically analyzes sustainable supply chain design in polymer and composite production with a focus on digital traceability, closed-loop and material recovery, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 54–71 Read article
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Knowledge and Practices of Postnatal Mothers Regarding Newborn Care in a Selected Hospital in West Bengal
Abstract: The health of newborns is significantly impacted by the extent of knowledge and behaviors exhibited by mothers in the postnatal period. By assessing the level of knowledge and practices it is possible to predict the cause and reduce the rate of neonatal mortality and morbidity. A research investigation aimed at evaluating the understanding and routines of postnatal mothers regarding the care of newborns in a chosen hospital located in West …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 30–37 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission
Abstract: Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 188–200 Read article
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Streamlining Transport Management: The Evolution of Machine-to-Machine Communication
Abstract: Every transportation industry, as is well known, has its own paperwork that employees of the organisation can complete. There is a lot of paperwork in the transport business. The user will be able to oversee multiple tasks with this way. Additionally, the user can track orders and inspect their goods. By using this method, the user will be able to work more efficiently and save time and energy. It involves …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 21–26 Read article
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Soil Fertility Assessment of Selected Villages in Bhuban Block, Dhenkanal, Odisha, India
Abstract: Using the Global Positioning System (GPS), the soil fertility condition of the Bhuban block in the Dhenkanal district of Odisha was prepared. In 5 villages in the Bhuban block of the Dhenkanal district, located in the central mid-tableland Agroclimatic region of Odisha, India, a study on the status of soil fertility was conducted.It is evident that the Bhuban block's several villages have varying textural classes, from loam to sand. In …
Published in International Journal of AgroChemistry · Vol. 4, Issue 1, 2026 Read article