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1320 articles for “Computer Applications”
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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A Survey on Datamining Techniques and its Uses on Real-Time Applications
Abstract: AbstractData mining is one of the area gaining lot of sensible significance and is progressing at a brisk pace with new methods, methodologies and findings in diverse packages associated with remedy, computer science, bioinformatics and stock market prediction, climate forecast, textual content, audio and video processing to name a few. Data occurs to be the key difficulty in statistics mining. With the massive online facts generated from several sensors, Internet …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 12–17 Read article
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Photochemical Materials for Light-responsive Optical Switching: AI-optimized Design of Dynamic Visual Effects
Abstract: This paper presents an in-depth investigation into the design and behavior of photochemical materials that generate optical illusions and dynamic visual effects through light-induced molecular transformations. The study focuses on advanced photoresponsive compounds such as azobenzene and spiropyran derivatives, emphasizing their reversible optical transitions governed by photoisomerization, phase transitions, and photochromism in solid-state and polymeric matrices. Spectroscopic and kinetic analyses are employed to evaluate the influence of light wavelength, material …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 13–27 Read article
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Modern Computer-aided Drug Design Methods: A Review
Abstract: Computer-aided drug design (CADD) has emerged as a crucial tool in the drug discovery process, offering a time-efficient and cost-effective approach to identifying potential drug candidates. This review aims to provide an overview of modern CADD methods, including high-throughput screening (HTS), structure-based drug design (SBDD), ligand-based drug design (LBDD), structure-based virtual screening (SBVS), and ligand-based virtual screening (LBVS). We discuss the basic principles, applicability, and limitations of each method, highlighting …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 2, 2024 · pp. 14–20 Read article
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Windows Azure Web Store Cloud Computing
Abstract: Microsoft Azure began as a Windows Server-based cloud raised area, but has since developed to become a very flexible cloud platform that enables developers to use any verbal communication, framework, or tool to figure, deploy and manage applications. According to Microsoft, Azure facial appearance and services are uncovered using open REST protocols. The Azure client libraries, which are available for several programming languages, are released below an open source license …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 3, 2015 · pp. 10–13 Read article
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Recent Advances in Nanobiotechnology: Applications and Future Perspectives
Abstract: Nanobiotechnology is a rapidly growing field that combines the principles of nanotechnology with biology, medicine, and biotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various fields, including drug delivery, imaging, biosensors, tissue engineering, and nanomedicine. The article also discusses the challenges and future prospects of nanobiotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 3, 2022 · pp. 43–47 Read article
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Influence of Rheological and Physical Properties of Particles and Liquid media to compute Terminal Fall Velocity: A Review
Abstract: The hydrodynamic demeanor of falling particles and the liquid media in which they fall, supported by data analytics, is indispensable in the computation of the terminal falling rate. which is a critical concept in many civil engineering disciplines. The application of terminal settling velocity becomes vital to prevent the settling of microplastic particles (< 5 mm in size), several metal particles, polymers, etc.; especially those of irregular shape. Past research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 28–40 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Digital Book Wield Smart App
Abstract: Digital Book Means Computer/Laptop. The system is developed to control Digital Book’s keyboard by Android device using Arduino. As all are familiar with both Android device and Digital Book like PC, Laptop etc., there are various limited options available to use when Android device is not connected to the Digital Book in order to access it at their Workstations. Connecting Android device to Digital Book by Arduino which is connected …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 3, 2018 · pp. 6–10 Read article
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CFD Analysis: Double Pipe Heat Exchanger, Latent Heat Storage, and BIM-CFD Integration
Abstract: This is a review work covering four research papers. Heat exchangers transport thermal energy across fluids; research in SolidWorks 2014 compared flow simulation to the effectiveness-NTU approach. Slow PCM charging/discharging is a global concern in latent heat storage; research on the influence of flow rate and temperature on melting and solidification durations discovered efficiency in a triple tube heat exchanger design. Advances in computational fluid dynamics for forecasting separated flows …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Computational study of some heterocyclic scaffolds derived from quinazoline and Mannich base Sydnone
Abstract: AbstractThe current study reports design and diversity-oriented synthesis of novel heterocycles incorporating thioureido linkage and mesoionic compounds could find new applications in biology. Employing reagent-based skeletal diversity approach; a facile synthesis of quinazoline and sydnone moiety has been accomplished. The synthesized compounds were characterized by IR and 1H NMR-spectral data, and elemental analysis. The structural and electronic properties of newly synthesized compounds have been explored theoretically by performing semi-empirical molecular …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 9, Issue 3, 2018 · pp. 8–12 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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New Design Formulae for Safety and Precision in the Fatigue Engineering of Mechanical Components and Structures
Abstract: This paper introduces two new formulae, termed the Nori Fatigue Formulae, for determining the maximum allowable fatigue stress in mechanical components and structures with significant stress concentrations. These formulae will eliminate the usage of code-sensitive safety factors along with other factored values from the entire mechanical design engineering work, ranging from a safety pin to spacecraft. The first formula gives the maximum allowable fatigue stress in tension, and the second …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 6–22 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Integration of RSA and Waterfall Framework: Aggrandize Security in Cloud Computing using Integration of Rivest–Shamir–Adleman (Encryption Algorithm) and Waterfall Model
Abstract: Eccentric consumer and associations benefit from cloud computing services, which allow continuous and longtime online storage of files. The problem arises when organization store highly privileged documents in cloud servers. Therefore, this paper targets a backbone structure for a cloud storage system, where the security and single user privacy is highly maximized. It is very obvious that the cloud computing servers are highly protected against unauthorized access, but in some …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Superpixel Segmentation using DBSCAN Clustering Algorithm
Abstract: AbstractSuperpixel division strategies are generally utilized as a pre-preparing venture to accelerate picture handling tasks. They assemble the pixels of a picture into homogeneous locales while attempting to regard existing shapes. In this paper, we propose a quick superpixels division calculation with contour adherence utilizing the density based spatial clustering of applications with noise (DBSCAN) algorithm. We implement a two-stage processing to decrease the computational costs of superpixel algorithms. First …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 26–36 Read article
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Computer Modeling of Organic Thin Film Transistors (OTFTs) using Verilog-A
Abstract: AbstractOrganic electronics has drawn considerable attention of the researchers with organic thin film transistors (OTFTs) as key components for various applications. Compared to the silicon industry where public models are well defined and commonly used to provide designers with a relative good description of any process, organic devices are still lacking for their complete device models that can fully describe their electrical characteristics. Therefore, compact model development for OTFTs is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 1–7 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Fracture Mechanics-based Assessment of Welded Joints in Structural Steel Components
Abstract: In many engineering applications, connection by welding are essential to the structural integrity of steel components. However, because of the intricate interplay between material qualities, welding techniques, and structural stress conditions, evaluating the dependability and safety of these welded connections continues to be a difficult challenge. A systematic framework that evaluates the behavior of cracks and faults in welded joints is provided by fracture mechanics, which also offers insights into …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 16–22 Read article
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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article