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1969 articles for “D/H analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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An Approach on Optimization of Thermo Physical Properties of Teak Wood Dust Filled Polymeric Composites
Abstract: The aim of the present work was to prepare the specimens with the help of hand-lay-up technique to measure the thermal properties of TWDPC. The density & voids of TWDPC were measured to determine its physical property & significantly affected some of its mechanical properties. Taguchi experimental method was applied to optimize its thermal properties. The optimal factor combinations were determined with the help of ANOM & the analysis of …
Published in Journal of Polymer & Composites Read article
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Polymer Matrix Characterization and Interfacial Engineering in Bamboo/Sisal/Chopped Mat Hybrid Fiber Composites
Abstract: The present investigation focuses on the characterization of polymer matrices and the interfacial behavior of bamboo, sisal, and chopped strand mat (CSM) fiber-reinforced epoxy composites. The work aims to understand how natural fibers influence the curing, thermal, and adhesion properties of hybrid composite systems. Experimental analyses were carried out using differential scanning calorimetry (DSC), dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FTIR) to evaluate curing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 123–135 Read article
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Formation and Fabrication of A 3D- Printed Polymer Propeller for Improved Propulsion and Minimal Acoustic Emission: A Comparative Study for Small Unmanned Vehicles
Abstract: The current research focuses on a comparative analysis of propeller designs to identify an option that enhances thrust efficiency while minimizing acoustic noise. The study evaluates three distinct types of propellers: the traditional three-blade propeller, the Sharrow propeller, and a novel aero propeller featuring an air foil-shaped cross-section. To facilitate a hands-on analysis, these propellers were produced using 3D printing technology, specifically employing ABS filament through a Fused Deposition Modelling …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 252–261 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Assessment of Noise Pollution Level in Port Harcourt City: a Location Based Comparative Study
Abstract: Noise pollution has emerged as a significant environmental health concern in urban centers, particularly in rapidly developing cities like Port Harcourt, Nigeria. This study presents a comprehensive, location-based comparative assessment of ambient noise levels across selected zones within Port Harcourt metropolis, including residential, commercial, industrial, and traffic-dense areas. Sound level measurements were conducted in the different areas of Port-Harcourt metropolis. High-density and low-density residential neighborhoods, busy roadways, business centers, road …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 7–17 Read article
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Growth of Individual House Builders (IHB) in Raigad Districts
Abstract: The study delves into the dynamic landscape of individual house builders (IHBs) in Raigad district, exploring the substantial growth within the real estate industry and its related sectors. The emphasis is on residential structures, ranging from bungalows to row houses and small individual buildings, designed to accommodate diverse family structures. This surge in construction activities is attributed to factors such as the abundant availability of land, improved connectivity, burgeoning employment …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 15–23 Read article
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Effect of Winter Season on Groundwater Quality Parameter of Jaipur City Rajasthan
Abstract: Groundwater studies are paramount, focusing primarily on assessing groundwater quality, a critical aspect given its multifaceted importance. Jaipur city stands out as a significant case study, where groundwater quality has undergone a noticeable decline due to the rapid pace of industrialization and urban development. To comprehensively investigate this phenomenon, a field study was conducted during the winter season, involving the random collection of six groundwater samples from diverse areas within …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Centrality in Social Network Analysis: A Comprehensive Review for Students
Abstract: Centrality, a fundamental concept in social network analysis (SNA), plays a pivotal role in understanding the structural dynamics and information flow within networks. This studyoffers an extensive examination of centrality metrics and their utilization in diverse fields. We begin by defining centrality and exploring its significance in characterizing the importance of nodes within a network. Subsequently, we delve into the literature review by different authors and most employed centrality metrics, …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Simultaneous Improvement of Mechanical Properties and Thermal Stability of Polyvinyl Chloride Nanocomposite by Magnesium Aluminum-Layered Double Hydroxide
Abstract: The application of nanoclays in polyvinyl chloride (PVC) is limited as the organic modifier of conventional nanoclays can degrade PVC. Using usual nanoclays could reduce thermal stability due to the catalytic effects on PVC degradation, so the main chalenge is to find suitable nanoclay for PVC. The effects of two nanoclays, MgAl-layered double hydroxide and alkylammonium-modified montmorillonite, were studied on the mechanical properties of PVC nanocomposites. Dioctyl phthalate (DOP)-plasticized PVC …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 825–837 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Development and Validation of a Robust RP-HPLC Method for Rufinamide Quantification in Pharmaceutical Dosage Forms
Abstract: The creation and validation of a simple, precise, and targeted reverse phase high-performance liquid chromatographic (RP-HPLC) approach allowed for the quantification of rufinamide in pharmaceutical dosage forms. With a mobile phase of methanol and water (50:50, v/v), the technique used a gradient mode Symmetry Qualisil gold C18 column (4.6 x 150mm, 5 μm). For the detection method, a flow rate of 1 mL/min was employed at 220 nm. During a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 25–32 Read article
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Assessment of Spatial Variations in Water Quality and Environmental Impacts on Freshwater Ecosystems A Case Study of Lakes Around Puducherry
Abstract: This study examines the water quality of Kanagan Lake, Osuteri Lake, and the Chunnambar River to evaluate environmental changes and their significance to Puducherry's ecosystem. A multidisciplinary approach was employed to assess key water quality parameters, including pH, dissolved oxygen, nutrient levels, and pollutant concentrations, providing a comprehensive understanding of the ecological health of these water bodies. The analysis revealed significant spatial variations in water quality across the sites, driven …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 1–15 Read article
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A Machine Learning-Based Non-Invasive System for Blood Group Prediction Using Fingerprint Biometrics
Abstract: The research is targeted at the creation of innovative solution "Fingerprint Based Blood Group Prediction" for instant, non-invasive blood group determination from analysis of finger impressions, a breakthrough possibility in emergency health care. Sophisticated machine learning can be employed to map fingerprint patterns to corresponding blood group information and overcome the current lack of a direct connection between the two. Integration of various technologies: employed React for frontend development, Flask …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 9–18 Read article
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The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis
Abstract: In today’s fast-paced world, young adults face increasing cognitive demands and heightened stress levels due to academic, professional, and social pressures. At the same time, modern lifestyles have ledto a decline in meaningful interactions with nature, which may impact both cognitive function and stressmanagement. The present study, entitled "The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis," aimed to explore the effects of nature connectedness …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–9 Read article
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Post Pandemic Cardiac Prediction: Analysing Heart Attack Mortality Rate In Vaccinated Adults
Abstract: Heart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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Structure–Optical Property Correlation of Co-Doped TiO₂ and ZnO Nanofillers for Advanced Functional Composite Applications
Abstract: This study investigates the enhancement of the structural and optical properties of titanium dioxide (TiO₂) and zinc oxide (ZnO) nanoparticles through cobalt (Co) doping. Pristine TiO₂ and ZnO are widely studied metal oxides; however, their large band gaps and limited visible-light absorption restrict their performance in optoelectronic, photocatalytic, and environmental applications. Co doping is employed as an effective strategy to overcome these limitations by inducing band-gap narrowing, creating defect-related electronic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1374–1394 Read article
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Micro Level Mobility Intervention in Urban Spatial Structure in Reducing GHG Emissions: A Case of The City of Lucknow, Prayagraj and Varanasi
Abstract: In contemporary times, the Greenhouse Effect has emerged as a paramount concern in urban areas. With India undergoing rapid urbanization, cities are witnessing soaring temperatures. Greenhouse gas emissions are one of the main causes of the Greenhouse Effect. India stands among the highest emitters of GHGs, primarily stemming from the energy sector, particularly in electricity generation. The period from 2005 to 2018 saw a noteworthy surge in India's emissions, largely …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–33 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article