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1261 articles for “advanced applications”
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article
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Advanced Miasmatic Approach in Ante Natal Care - Multi Faceted Homoepathy
Abstract: Homeopathy and pregnancy care? Looks challenging? The structural deformities investigation in modern medicine is an unforeseen combination of a physical, mental breakdown of pregnant lady, resulting an immediate call for effective therapy of the lady and family. The female-being the pivot, her health in pregnancy marks great responsibility for an Altruistic homeopath. The advanced miasmatic lens in antenatal care magnifies the role of multifaceted homeopathy. Such type of synergistic efforts …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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Challenges in the Commercialization of Lithium (Li)–Sulphur (S) Batteries †
Abstract: Li-S batteries can be used in drones owing to their high gravimetric energy density (2600 Wh/kg of sulphur) as well as the high theoretical specific capacity values (1674 mAh/g) values. Most of the ground breaking inventions in energy sources occurred during war time (1st September 1939-2nd September 1945), including the discovery of the famous nuclear fission process that lead to the origin of the little boy and the fat man. …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Exploring Composite Materials for Energy Harvesting in Electric Vehicles: A Comprehensive Review
Abstract: Energy harvesting, an increasingly dynamic field, holds promise for powering various devices by extracting energy from surrounding sources. Composite materials, blending mechanical and electrical properties, emerge as ideal candidates for energy harvesting applications. Despite their burgeoning utilization in electric vehicle (EV) energy capture, the full realization of their potential remains subject to ongoing evaluation. This editorial comprehensively examines composite materials' mechanical properties, electrical conduction, thermal stability, and affordability concerning EV …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 1–15 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Density Functional Theory (DFT): Understanding and Quantifying Molecular Structure of 2-D Materials
Abstract: Density Functional Theory (DFT) has emerged as a cornerstone in computational chemistry and materials science, offering a powerful framework for predicting electronic structures and properties of atoms, molecules, and solids. By focusing on electron density rather than wave functions, DFT simplifies the many-body problem through approximations like the local density approximation (LDA) and generalized-gradient approximations (GGAs). The Hohenberg-Kohn theorems establish the theoretical foundation, proving that ground-state properties are uniquely determined …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 33–40 Read article
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Comprehensive Review on Pulsatile Drug Delivery System: Hybrid Approaches
Abstract: Pulsatile drug delivery systems (PDDS) represent a groundbreaking approach in pharmaceutical technology, allowing for controlled, targeted, and programmable drug release that aligns with circadian rhythms or caters to time-sensitive therapeutic requirements. Although traditional pulsatile systems have shown considerable clinical promise, their effectiveness is frequently compromised by physiological variations such as gastrointestinal transit times, changes in pH, and enzymatic activity. To tackle these obstacles, hybrid PDDS have been developed by combining …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 18–31 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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A Comprehensive Review on FinFet Technology : Advantages, Challenges and Applications
Abstract: New devices and enhanced layers have been developed, specially the FinFET (Fin Field-Effect Transistor) which is considerably superior to the planar transistor because of its ability to meet the new demands of systems for high-performance, low-power, and dimensions reduction. Some of the recent developments in FinFETs mentioned in this review include a reduction of leakage currents by 50% and an enhancement of the speed by 30%; thus, FinFETs remain fundamental …
Published in Journal of Semiconductor Devices and Circuits Read article
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Keyless Lock Based on Internet of Things
Abstract: In recent years, there has been a growing interest in smart home technologies, with smart door locks being one of the focal points due to their potential to enhance security and convenience. Smart door lock systems are transforming access control by offering a keyless alternative for both residential and commercial settings. These electronic locks replace traditional keys with secure methods such as emergency alarms, privacy modes, battery backup, cameras, voice …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 18–21 Read article
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Keyless: LQ Based On IOT
Abstract: In recent years, there has been a growing interest in smart home technologies, with smart door locks being one of the focal points due to their potential to enhance security and convenience. Smart door lock systems are transforming access control by offering a keyless alternative for both residential and commercial settings. These electronic locks replace traditional keys with secure methods such as emergency alarms, privacy modes, battery backup, cameras, voice …
Published in Journal Of Network security Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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Review on Computer-Aided Drug Design in RAS Inhibitor Discovery
Abstract: This review explores the utilization of computer-aided drug design (CADD) methodologies in the discovery of inhibitors targeting the RAS pathway, a pivotal signaling cascade implicated in various cancers. Through an extensive examination of computational tools, methodologies, challenges, and recent advancements, this review aims to provide insights into the role of CADD in accelerating RAS inhibitor discovery. The discovery of effective inhibitors targeting the RAS pathway is of paramount importance in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 7–14 Read article
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Role of Functional Programming Languages in Blockchain Applications
Abstract: Functional programming (FP) languages play an increasingly influential role in blockchain applications, offering features that address critical challenges such as security, scalability, and reliability. The inherent characteristics of FP—immutability, pure functions, statelessness, and concurrency support—align well with blockchain’s decentralized and deterministic structure, making FP languages a natural fit for developing secure and verifiable smart contracts. Languages like Haskell, OCaml, and Erlang have proven effective in minimizing code errors, enabling formal …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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A Brief Review on Interfaces of Copper Welded to Different Materials
Abstract: In engineering applications, three metals with high conductivity are primarily used such as copper (Cu), aluminium (Al), and silver (Ag). Each has its unique set of properties that affect specific engineering applications. Infact the choice of conductor depends on a mixture of cost, technical parameters, and environmental conditions. Among these, Copper is widely valued in engineering applications due to its antimicrobial property, excellent electrical (about 100% IACS) and thermal conductivity, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–36 Read article
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Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
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Tiny Titans: The Promise of E-Nanorobots in the Fight Against Cancer
Abstract: Cancer, a disease characterized by uncontrolled cell growth, continues to be a leading cause of mortality worldwide. Despite advances in surgery, radiation, and chemotherapy, significant challenges remain in achieving targeted and effective treatments without harmful side effects. But what if we could deploy microscopic robots, engineered at the nanoscale, to precisely target and destroy cancerous cells while leaving healthy tissue untouched. The fascinating possibilities of e-nanorobots are driving extensive research …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Integration of Nanotechnology in Electric Vehical Technology: A Comprehensive Review
Abstract: The integration of nanotechnology in electric vehicles (EVs) heralds significant advancements in energy storage, efficiency, and overall vehicle performance. This paper explores the current state and future potential of nanotechnology applications in EVs, focusing on battery technology, lightweight materials, and energy conversion systems. In battery technology, nanostructured anodes and cathodes, such as silicon nanowires and lithium iron phosphate nanoparticles, enhance energy density and charging rates. Solid-state electrolytes with nanocomposite materials …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 29–34 Read article