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1790 articles for “RANS”
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Strategies for the Development and Optimization of Orally Disintegrating Tablets (ODTs) to Improve Bioavailability and Patient Compliance
Abstract: Background: Pharmaceutical scientists have developed Orally Disintegrating Tablets (ODTs) to advance patient drug acceptance and biological system availability through simplified medi-cation delivery especially for children and senior citizens and people who cannot swallow pills regularly. The oral disintegrating tablets dissolve in the mouth within thirty seconds or less (USP 701) while needing no additional liquid thus making them suitable for both emergency treatments. Objective: The research examines ODT development strategies …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Holographic Beam Switching and Intelligent Routing for Terahertz Space-Air-Ground Integrated Networks
Abstract: The rapid evolution of sixth-generation (6G) and beyond communication technologies necessitates highly adaptive, ultra-high-capacity, and low-latency networking frameworks capable of supporting global connectivity across terrestrial and non-terrestrial domains. This study proposes a novel holographic beam switching and intelligent routing framework for terahertz (THz) Space-Air-Ground Integrated Networks (SAGINs). The proposed architecture leverages holographic beamforming techniques to dynamically manipulate electromagnetic wavefronts, enabling precise beam steering, reduced interference, and enhanced spectral efficiency in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Assessing the Mechanical, Structural and Thermal Performance of Boehmeria Nivea and Agave Sisalana Fiber Reinforced Polymer Composite by using Seashell Powder as a Filler Material
Abstract: Natural fiber composites have replaced plastics and have been used to the maximum extent. Hybridization of natural fibers with filler materials has achieved higher tensile, impact, and flexural strength compared to single fiber composites. In this research, the mechanical properties were investigated with the ramie and sisal hybrid fiber reinforced with seashell powder as filler material. Filler material can enhance the flexural property of the natural fiber. Hybrid composite plates …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 355–369 Read article
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Experimental Study and Comparative Analysis of Fly Ash, GGBS, and Silica Fume in Nominal Concrete and Ternary Blended M25 Concrete
Abstract: This study examines the effects of partially substituting 30% of cement by weight with ternary supplemental cementitious materials (TSCMs) with mix proportions of M1, M2, and M3. These materials include fly ash (10%,15%,15% in M1, M2, and M3), ground granulated blast furnace slag (GGBS) (10%,8%,10% in M1, M2, and M3), and silica fume SF (15%,10%,5% in M1, M2, and M3) on the mechanical and durability properties of M25 grade concrete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 43–50 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Orthostride: An Internet of Medical Things-Enabled Smart Rehabilitation Footwear System for Real-Time Monitor
Abstract: The orthopedic rehabilitation goal of controlled weight bearing, a stable gait progression, and early recognition of hazardous situations for safe mobility is traditionally met through time, scheduled in-clinic observation and clinician induction, and patient report. In this work, Orthostride, a smart rehabilitation footwear prototype intended to augment postoperative and injury-related lower extremity restoration through continuous sensing, embedded decision logic, local feedback, and remote telemetry, is proposed. This system incorporates force …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Application of GIS tools to the Improvement of Energy Supply in PV Rooftop Installations
Abstract: Present work studies the energy supply from photovoltaic (PV) installations in industrial conglomerates using the rooftops as a surface to install the PV panels. The study is based on a modelling procedure that takes into account the specific characteristics of the rooftop, shape, size, azimuth and inclination, using GIS tools to identify these parameters for every single rooftop. Modelling has been developed modifying the tilt angle of the PV panel …
Published in Journal of Remote Sensing & GIS Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Analysis of critical constraint factors affecting the performance of Transportation projects
Abstract: Infrastructure is a country's biggest source of economic growth, which is made up of a variety of facilities and processes. It includes all the amenities and services required for urbanization, economic expansion, improved quality of life, and thriving companies. Transportation is one of the most important industries for any nation's economy, but constraints exist in all working environments. A construction constraint is a condition that makes it difficult to achieve …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 1, 2023 · pp. 54–78 Read article
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Tracking Subsystem in Satellite
Abstract: The central nervous system and operating system of all satellite and spacecraft missions is called Satellite Telemetry, Tracking and Control (STT&C). Ground controllers can keep an eye on and manage the spacecraft's position, velocity, and location thanks to the tracking subsystem of the satellite. A key component of satellite TV for PC operations is tracking, which makes sure that satellites maintain their precise orbits and the right attitude to complete …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 36–42 Read article
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Nanowire Photodetectors and Applications: A Review Study
Abstract: The utilization of nanowires and nanowire structures as photodetectors is an arising research subject. Novel gadget structures incorporated in single nanowire gadgets are additionally being effectively contemplated and created. Here, general NW-PD ideas are investigated, along with a point-by-point depiction of the actual phenomenon happening in nanowire photoconductors & phototransistors. Low dimensional frameworks like nanotubes and nanowires have intriguing, and technologically valuable, optical and electrical properties. Studies on these frameworks …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
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Study on a Supercritical Airfoil with Variation in Thickness for Improved Aerodynamic Characteristics in Transonic Regime
Abstract: In this research the steady state analysis of a supercritical airfoil is done to understand the flow physics at transonic Mach number regime for various thickness. The modeling of NASA SC (2) 0714 supercritical airfoil with various thickness values is done. The steady state analysis is carried out for different test cases in combination with different thickness, angle of attack and Mach number at 10 km altitude using density-based Reynolds …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 122–134 Read article
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Analytical exploration of self-consolidating concrete (SCC) mix proportions via the Taguchi method
Abstract: To address the challenge of limited space within structural elements containing densely packed reinforcement, Self-Compacting Concrete (SCC) was developed. This study focuses on optimizing the experimentation process using Design of Experiments (DoE). Taguchi's standard L(3) orthogonal array (OA) was utilized, consisting of four factors with three levels each, resulting in nine trial mixes. The factors examined include water-powder ratio, cementitious material content, superplasticizer dosage, and steel fiber content. The aim …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 1, 2024 · pp. 1–16 Read article
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Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
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IoT Development Sensor Board Based on RISC-V Architecture
Abstract: This flexibility is critical for maximizing power and performance, which are critical elements in IoT applications with limited resources. A wide range of sensors, including as motion, ambient light, temperature, and humidity sensors, are integrated into the IoT sensor board. The board can record and analyze real-time data thanks to these sensors, which opens up a world of possibilities for applications ranging from industrial automation to environmental monitoring. In conclusion, …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 12–17 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article