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1562 articles for “X.509”
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Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Formulation and Evaluation of Saliva Substitute
Abstract: The development and evaluation of saliva substitutes play a vital role in managing xerostomia, a condition marked by insufficient saliva production that adversely affects oral health and overall well-being. This study investigates various formulations of saliva substitutes intended to replicate the functionality of natural saliva. The key goals are to assess their moisturizing effectiveness, physical and chemical properties, and in vitro performance. These formulations generally incorporate hydrators, lubricants, thickeners, and …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 32–47 Read article
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Structural, Electrical and Optical Properties of RGO-Incorporated PVA Nanocomposites for UV Shielding Applications
Abstract: Polymer matrix-based nanocomposites reinforced with appropriate nanoparticles have the potential to exhibit improved electrical, optical and mechanical properties, as well as improved UV-shielding capabilities. These materials are currently being utilised for various commercial applications, such as window shields and automotive components. We prepared reduced graphene oxide (rGO)-incorporated polyvinyl alcohol (PVA) polymer nanocomposites employing a solution casting method. XRD and SEM results confirmed that the rGO nanosheets were dispersed well in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 119–137 Read article
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Deep Learning -Based Dental Issue Detection
Abstract: Dentistry is vital for preserving oral health, a key component of overall wellness. Early identification of dental issues is crucial for effective treatment and avoiding further complications. Conventional approaches to diagnosing dental problems typically depend on physical examinations and visual assessments by skilled professionals, which can be both time-intensive and influenced by individual judgment.In recent years, the application of deep learning algorithms has demonstrated significant potential in automating and enhancing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Comparative Evaluation of the Pozzolanic Activity of Artificial Pozzolans: Steel Slag, Fly Ash, and GGBFS
Abstract: Evaluating the pozzolanic activity of specific industrial waste is crucial given the growing demand for cementitious materials. This research aims to expand the possibilities of incorporating pozzolanic waste such as Steel Slag (SS) as additives to cement. SS is a byproduct of the steel production process. A byproduct of the steelmaking process, slags have long been used as aggregates in building materials like concrete and roads. A closed-loop structure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 341–361 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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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Novel Poly (Methyl Cellulose-G-Acrylamide)/Sodium Alginate Based Zeolite 4A Filled Mixed Matrix Membranes for The Separation of Water-Isopropyl Alcohol Mixtures by Pervaporation
Abstract: The Filled blend matrix membranes of (Methyl Cellulose-g-Acryl amide)/Sodium Alginate {(MC-g-AAm)/NaAlg} prepared via solution casting method by in situ incorporation with 4A zeolite particles in 5, 10 and 15 mass % with respect to the weight of (MC-g-AAm)/NaAlg membrane. Several analytical tools such as scanning electron microscope (SEM), atomic force microscope (AFM), Fourier transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and thermo-gravimetric analysis (TGA) were …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 131–152 Read article
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Network Security and Risk Technologies
Abstract: This research work delves into the dynamic domain of network security risk, providing a comprehensive analysis of corruption of data. The study explores strategic models aimed at strengthening network defenses in response to the continually changing threat environment. In the past, network security has relied on various technologies to mitigate risks, which include Firewalls, Virtual Private Networks (VPNs) and Encryption Protocols. The research scrutinizes the role of technologies such as …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 26–34 Read article
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A Sol-Gel Approach for the Fabrication of Zinc Oxide Nanoparticles and Their Nanocomposite with Urea Formaldehyde (UF)
Abstract: In the performed work, zinc oxide nanoparticles were synthesized via the sol-gel method using zinc sulphate as the precursor material. Urea-formaldehyde (UF) resin was employed as a polymer matrix to encapsulate the produced ZnO through an acid-catalyzed polymerization process. This encapsulation aimed to improve the dispersion stability and surface reactivity of ZnO within the polymeric medium. The synthesized materials were subjected to comprehensive characterization using Fourier Transform Infrared Spectroscopy (FT-IR), …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 21–27 Read article
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Comparison Of Postoperative Sore Throat Following Endotracheal Intubation With Or Without Water Based Lubricating Jelly
Abstract: Background: Water-soluble lubricant gel (X-Y jelly) was evaluated for its ability to lessen the common throat pain that follows tracheal intubation under general anesthesia. Materials and Methods: scheduled for elective surgery under general anesthesia requiring endotracheal intubation, Were enrolled in a prospective, randomized, double-blind comparative study. They were split evenly into two -member cohorts. One cohort received 3 mL of water-soluble X-Y gel smeared from the cuff tip to 15 …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Evaluating Andrographis paniculata Phytochemicals as Potential Glioma Therapeutics via Molecular Docking Approach
Abstract: Evaluating Andrographis paniculata Phytochemicals as Potential Glioma Therapeutics via Molecular Docking ApproachGlioneuronal tumors and gliomas are grade I tumors classified by the World Health Organization (WHO). They typically grow slowly and primarily affect infants, children, and teenagers, but can also occur in adults. They mostly cause seizures caused by gangliomas. Most current treatments include surgery and radiotherapy. Since this disease affects children, the current treatments may cause complications. Andrographis paniculata …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 82–93 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Aluminium-Doped Zinc Ferrite Nanoparticles Synthesized by Combustion Method for Polymer Composite Applications
Abstract: ZnFe₂₋xAlₓO₄ (x = 0 and 0.5) nanoparticles were synthesized via a combustion method owing to its simplicity, cost efficiency, and ability to produce highly crystalline nanomaterials. Powder X-ray diffraction (XRD) analysis confirmed the formation of a single-phase cubic spinel structure without detectable secondary phases, indicating high phase purity. The average crystallite size was estimated to be in the range of 14–20 nm, confirming the nanocrystalline nature of the samples. Field-emission …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 272–282 Read article
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Bone Grafting in Dentistry: From Biological Principles to Contemporary Regenerative Applications
Abstract: Bone grafting plays a pivotal role in contemporary regenerative dentistry by enabling predictable reconstruction of alveolar bone defects resulting from periodontal disease, tooth extraction, trauma, or pathology. Adequate bone volume and quality are essential prerequisites for successful implant placement, periodontal regeneration, and long-term functional and esthetic outcomes. Bone graft materials act as biological or synthetic scaffolds that facilitate new bone formation through the primary mechanisms of osteogenesis, osteoinduction, osteoconduction, and …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 6–13 Read article
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Tailoring The Electrochemical Interface of Graphene–Gd₂O₃ Nanocomposites for Advanced Energy Storage
Abstract: Graphene–Gd₂O₃ nanocomposites were synthesized by incorporating varying concentrations of reduced graphene oxide (rGO) into Gd₂O₃ using a straightforward room-temperature solution method. The composites were analyzed using various distinct characterization techniques, including X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). Electrochemical measurements, particularly cyclic voltammetry (CV), demonstrated that the incorporation of graphene significantly enhanced the electrochemical performance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 369–388 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