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156 articles for “Database development”
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A Comprehensive Food Delivery System
Abstract: The demand for quick as well as efficient food delivery options has escalated, especially in the digital era for sought-after items such as pizza. Existing systems often lack any real-time communication, and due to order status being uncertain, customer dissatisfaction subsequently arises. This project aims to develop a real-time pizza order tracker app using Node.js, Express.js, as well as MongoDB, to address these gaps by providing instant updates and a …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 01–10 Read article
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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 12–22 Read article
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Recent Advances in Polymer Analysis and Characterization Techniques for High-Performance Materials
Abstract: Polymers play a vital role in various fields, from biomedical engineering to energy storage. Developing high-performance polymers requires a deep understanding of their structure, properties, and behavior. This review paper delves into recent advancements in polymer analysis and characterization techniques. This paper is a comprehensive bibliometric analysis which investigates the research landscape of geopolymer concrete incorporating construction and demolition waste (CDW) by analyzing 389 publications from the Web of Science …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–93 Read article
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Efficient Masked Face Recognition Methods using Deep Learning
Abstract: Covid-19 questioned not only people's health but alsoconventional scientific systems. Due to face masks that were made mandatory to wear, the existing cognitive systems failed to perform in real-time scenarios. The demand to develop face recognition systems that detect people even when they wore masks was naturallyhigh. Deep learning techniques help to solve this problem, working efficiently in detecting user face features and comparing them with a known image database. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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In Situ Investigation of Hemidesmus indicus Phytocompound Extracts as a Therapeutic Target for Acute Myeloid Leukemia
Abstract: Objective: Acute myeloid leukemia (AML) is an apoptotic condition in the hematopoietic system induced by the differentiation and maturation of stem cells into erythrocytes, and leukemic cell proliferation is suppressed as the PI3K-Akt-mTOR pathway is pharmacologically targeted with certain inhibitors. As a result, in silico molecular docking of compounds against AML receptors, CTMP, was used in computational research on Hemidesmus indicus to uncover therapeutic phytochemicals for AML. Thus, this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 38–53 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Information Technology: An Arising Concept in Agriculture Sector
Abstract: AbstractThe agriculture sector plays predominant role in economy of India. Information Technology is an important branch in the field of agriculture as it provides support to the farming community. Agriculture is the backbone of agro industries. IT contributing one third to the national GDP in the Indian economy. Under the changing dynamics of economical and industrial growth, agriculture has to experience changes with new approaches. The agricultural sector has to …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 23–27 Read article
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Adversarial Attacks on Machine Learning Models in Cybersecurity: A Systematic Literature Review
Abstract: Adversarial machine learning (AML) is a field that is growing swiftly, especially as machine learning models are employed more and more in places where security is critical. This review goes into great depth over 746 publications from the Scopus database, with an emphasis on the connection between AML and network security. Using Biblioshiny and Scopus tools, we looked at trends in publications, study fields, productive authors, collaboration networks, and theme …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 23–38 Read article
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Pf Phosphatidylserine decarboxylase: Molecular modeling and inhibithors prediction
Abstract: Plasmodium falciparum (P.f) is a protozoan parasite responsible for the most severe and deadly form of malaria. The resistance of Pf to last resort antimalarial drugs has been reported, there is an urgent need to identify new therapeutic candidates for drug development. Advancements in bioinformatics technologies provide potential cost and time-effective solutions for predicting therapeutic candidates. Phosphatidylserine decarboxylase (PSD) is a member of the lyase family (more specifically, the carboxy-lyases), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 60–78 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Autonomous Snake Detection and Catching System for Household Safety After Calamities
Abstract: Autonomous Snake Detection and Catching Robot for household Safety after Calamities is a robot to protect house premises from the intrusion of snakes which is a major issue specially after calamities. During floods many incidents of snake encounters and bites were reported in numerous residential areas. According to disaster management experts, the possibility of flood in Kerala still remains and it can cause major impacts in future. Conventional methods for …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 1–5 Read article
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NexCart – The Ultimate Shopping Platform: A Full-Stack E-Commerce Web Application
Abstract: The rapid growth of internet technology has significantly transformed traditional shopping methods into digital commerce platforms. This paper presents NexCart, a web-based e-commerce application designed to provide a simple, scalable, and secure online shopping experience. The system allows users to browse products, manage shopping carts, place orders, and perform secure transactions efficiently. The platform is built with HTML, CSS, and JavaScript on the frontend, while the backend and server-side functionality …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 16–23 Read article
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Adoption to Big Data Analytics: Privacy Issues and Integration of PPDM to overcome it
Abstract: AbstractIn this emerging era of technology, the amount of data being generated is massive. To deal with such a huge amount of data, development of big data analytics to extract valuable information for making marketing decision is gaining popularity. This data can be either structured, semi-structured or unstructured, so it is very difficult to process such rapidly growing and changing data with the conventional database techniques. As big data is …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 33–38 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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Anti-Soiling Coating Technologies for PV Panels Under Dust Storm Conditions
Abstract: Background: Deployment of photovoltaics (PV) in arid and semi-arid areas where there is ample sunlight has been increasing quickly because of their high solar irradiation. The rising number of dust storms, as well as depositing particulate matter into the air, has caused a significant decrease in energy production due to reduced transmittance of light through the surface of the PV panel from the dust on the panel’s surface. This has …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 28–38 Read article
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Evaluating Epidemiological and Physical Risk Factors in the Development of Chemotherapy-induced Peripheral Neuropathy (CIPN): An In-depth Systematic Review and Meta-analysis
Abstract: Background of study: Chemotherapy-induced peripheral neuropathy (CIPN) encompasses a range of adverse effects caused by various cytotoxic medications and stands as a primary source of pain among individuals who have survived cancer. In instances of pronounced and sudden CIPN, it might become necessary to diminish chemotherapy dosages or discontinue their application. Currently, no efficacious strategy exists for proactively preventing CIPN, managing established chronic CIPN is constrained, and the risk factors …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 10–21 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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Digital Modules of the Green Buildings to Study Protection of Air Quality
Abstract: The aims of this study are to simulate air flows inside and around multi-storey green building spaces together with the distribution of concentrations of harmful substances and microorganisms to increase the sustainability of design solutions for green modules. Among the objectives of the study are assessment of bioclimatic comfort, risk analysis of bioclimatic eco-safety in the framework of aeration and pollution modeling, as well as eco-optimization of building design, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 838–846 Read article