Search
1878 articles for “system modeling”
-
The Adoption of Artificial Intelligence in Different Network Security Concepts
Abstract: The obstacles of each security system combined with the increase of cyber-attacks, negatively affect the effectiveness of network security management and rise the activities to be taken by the security staff and network administrators. So, there is a growing need for automated auditing and intelligent reporting strategies for reliable network security with as less model complexity as possible. Newly, artificial intelligence has been effectively applied to various network security issues, …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 30–43 Read article
-
Adoption of Major Climate-Smart Agricultural Practices in Gimbo District, Southwest Ethiopia
Abstract: This study investigates the determinants of adoption of Climate-Smart Agricultural Practices (CSAPs) among smallholder farmers in Gimbo District, Southwest Ethiopia. The focus is on three key technologies: agroforestry, improved seed varieties, and improved livestock feed and feeding practices. Primary data were collected from 384 households through structured interviews, and a multivariate probit (MVP) model was employed to analyze the simultaneous adoption of multiple technologies while accounting for potential interdependencies. Descriptive …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 65–76 Read article
-
ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
-
MODELING EARLY COMPRESSIVE STRENGTH OF CONCRETE PARTIALLY REPLACED WITH HETEROGENEOUS PALM KERNEL SHELL INFLUENCED BY VOID RATIO AND PERMEABILITY
Abstract: The study monitored the partial replacement of palm kernel shell as an aggregate for concrete production, this was carried out using modelling and simulation techniques, such condition were applied to determine other parameters that their significance impact may have not determined its growth rates in terms of compressive strength. The study observed the void and permeability of the material, including heterogeneity, to influence the increase and decrease of compressive growth …
Published in Recent Trends in Civil Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
-
Analysis of core and outrigger structural system for different soil condition
Abstract: As achievement of structural system for tall building is not easy task. As the tall building is more affected by lateral loads so design and analysis of high rise building is difficult so to minimized this effects of load now a days new different systems like outrigger system belt truss system. In this present study outrigger system is used with rigid core. In this study G+30 floor building is considered …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
-
Linear Programming based Model for Design of Looped Water Distribution Networks with Redundancy
Abstract: A new linear programming based two-phased methodology is suggested for design of looped water distribution networks with redundancy. The redundancy is provided against failure of pipes and a network is designed to sustain failure of any one of the link without affecting nodal supplies in a part or full. In the first phase, network is designed under normal pipe working conditions for assumed flow distribution using linear programming. The performance …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 1–10 Read article
-
Development of a predictive model for determining mechanical properties of nano Al2O3 reinforced adhesive bonded SS304 single lap joint
Abstract: In this study, single lap joints were prepared by adding nano-additives (Al2O3) in the quantity of 3 wt % in the phenolic resin, and the overlap length was varied to observe the effect on joint engineering properties. In the experiments, a single component system of a specific grade of phenolic resin was used as a binder, and aluminum (AA8011), as well as stainless steel (SS304), was used as adherends. The …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 20–28 Read article
-
Energy-Efficient Design Strategies for Sustainable Machine Tool Development
Abstract: The design of energy-efficient machine tools is essential for promoting sustainable manufacturing, as it addresses the significant energy consumption and carbon emissions generated by these tools in industrial settings. This study investigates innovative design approaches that enhance energy efficiency, with a focus on lightweight materials, improved drive systems, smart control frameworks, and methods for recovering energy. Implementing lighter structural materials allows machine tools to operate with less force, which in …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 30–34 Read article
-
PLC Based Real Time Automated Water Distribution System for Domestic and Industrial Uses
Abstract: The process of water purification holds significant importance in the pre-distribution stage of water. The water distribution system in the PCMC area is extensively and efficiently deployed. Automation offers efficient methods for addressing various challenges related to water distribution. The occurrence of water leakage and inadequate water delivery is a significant challenge within the context of water distribution systems. The occurrence of this leakage results in a significant decrease in …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 10–18 Read article
-
Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
-
Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
-
CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
-
Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
-
Microalgae Based Wastewater Treatment: A Sustainable Approach
Abstract: The global water crisis and strict environmental policies demand advanced wastewater treatment techniques that combine pollution control with resource recovery. Microalgae-based wastewater treatment has emerged as a sustainable biotechnological solution that aligns with circular economy principles by simultaneously eliminating contaminants and producing valuable biomass that can be converted into useful products. This review paper provides an in- depth assessment of the application of microalgae in treating municipal, industrial, and agricultural …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 1–15 Read article
-
Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
-
SPICE2G and PSPICE Circuit Simulation of h and g Two Port Networks
Abstract: AbstractMethods to simulate two port electronics circuits whose hybrid (h) and inverse hybrid (g) parameters are available for circuit designer are given using Spice2G/Pspice analysis programs. Starting from the definitions of two port h parameters, Spice2G and Pspice compatible equations for various frequencies are derived and compatible sub circuits for h,g two ports are obtained both at DC and AC. Effective and extensive use of Spice2G elements (voltage/current controlled current/voltage …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 3, 2019 · pp. 16–25 Read article
-
Design and Development of Wristwatch for Blind Person
Abstract: Watches for blind person are already available, but, due to its cost, it is not affordable for the people in developing countries. In this project, main area of concern is about cost optimization of watch by modelling of wristwatch for the blind and visually challenged deaf person by using same features of simple watch. Main difference in design is that the watch face numbering is done in Louis Braille system …
Published in Trends in Machine design · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
-
Review of symmetricity in Taguchi’s Loss Function for Performance Measurement to Monitor Cost of Rejection
Abstract: Performance measurement for any organization has become an inevitable activity owing to the pressure of enhancing the efficiency of the system and to assess the correctness and direction of activities related to the performance. Various methods like time series graph, control charts, capability index, quality awards, cost of quality etc. are being used for showcasing the measured performances. One of the vital methods being used for the purpose is Taguchi’s …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 59–68 Read article
-
LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
-
A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article