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1712 articles for “process model”
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Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open-source software (OSS) has become a foundational pillar for rapid innovation across artificial intelligence (AI), machine learning (ML), and cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined with …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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A Comparative Techno-economic Analysis of Hydrogen Production Processes from Locally Available Resources in Nigeria
Abstract: In this work we report result of techno-economic analyses of three hydrogen production pathways - Steam Methane Reforming (SMR), SMR with Carbon Capture (SMR+CC) and Proton Exchange Membrane electrolysis (PEM) – using integrated process-cost simulation-estimation methodologies. Process modeling and simulation is performed with Aspen Hysys® and Aspen Plus® (V10). Cost modeling and estimation is based on full lifecycle cost of production using the Levelized Cost of Hydrogen (LCOH) approach. Feedstock …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 · pp. 29–46 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Effect of WEDM Machining Parameter on the MMC: A Review
Abstract: Recent area of manufacturing is highly focus on good accuracy and a complex shapes are mechanized by the advanced machining operation. The wire electrical discharge machining (WEDM) have the ability to produce the complex shapes with having high accuracy. The WEDM is non-contact type machining operation and is used for metal materials as well as Metal Matrix Composites (MMCs), ceramics composites those have many application in vast areas such as …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Modelling of PV systems installations using Geographical Information System:The case of Toluca (Mexico)
Abstract: The goal of the paper is determining the available capacity of photovoltaic power generation density of a defined area through a modeling process using GIS. The method identifies the spots, and calculates the available area that receives solar radiation, taking into account geographical characteristics and spatial distribution of spots. Tilt and orientation are also considered to evaluate shading. The program identifies suitable spots valid for PV power generation. Power density …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 45–61 Read article
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Open AI Chat GPT in Educational System: Evaluating the Efficacy of AI driven Learning
Abstract: This research delves into the effects of implementing OpenAI ChatGPT into educational systems and how it affects the results of student learning. The cutting-edge natural language processing model known as OpenAI ChatGPT has the ability to provide adaptive and individualized learning experiences, which might completely transform conventional teaching approaches. The purpose of this research is to determine if ChatGPT is more effective than more conventional approaches in enhancing students' interest, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Thermal Performance of Concentrating Solar Panels
Abstract: The study shows a detailed analysis of the thermal performance of concentrating solar panels and the temperature increase due to concentrated solar radiation. This work proposes a configuration to reduce temperature rise, maintain good panel efficiency, and increase output power. The configuration is based on a sandwich structure including a phase change material (PCM), which absorbs the thermal energy excess generated by the concentrated solar radiation onto the PV panel. …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Analysis of Quicklime Production from Eggshell through Factorial Study
Abstract: Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 18–22 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Exploring Building Information Modeling
Abstract: A process which generate and manage digital presentation of functional characteristics of places is known as building information modeling (BIM). BIM is helpful to exchanged, mined a building or additional built asset. Nowadays for preparing plan, design operate and maintain infrastructure such as water, electricity, gas, roads, bridges, ports and tunnels, etc. BIM is commonly use. In this paper, we are trying to execute the work of BIM for 3D …
Published in Journal of Construction Engineering, Technology & Management · Vol. 7, Issue 2, 2017 · pp. 1–6 Read article
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One Dimensional Thermal Model for Heat Flow in Friction Stud Welding
Abstract: Friction stud welding is a solid-state process in which the heat for welding is produced by direct conversion of mechanical energy to thermal energy at the interface of the components without the application of electric energy or heat from other external sources. Since it is thermal energy process, study of thermal behavior of dissimilar metals during friction stud welding process is important. Though there exist many thermal models for friction …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 22–27 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Computational Fluid Dynamics Simulations of Horizontal Wellbore Cleaning and Cement Placement Processes in Drilling and Completions Engineering Applications
Abstract: Mathematical modeling and simulations of complex coupled processes require both robust and accurate physics-based techniques. Computational fluid dynamics (CFD) have been used extensively in a wide range of fields such as aerospace, automotive, and chemical processing industries to name a few. Typically, processes during drilling and completion of wells involve modeling of complex rheology fluids, turbulence modeling, multiphase phenomena, and heat transfer. Each individual process could possibly result in a …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 26–39 Read article
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Design of Automation Work Systems: A Review
Abstract: ABSTRACTThe outline of a computerization work framework includes critical decisions concerning the sort of framework process and additionally the state of the procedure. These depend on the prerequisites from the client. This work gives the advancement of setup demonstrate for robotizing the plan of work framework. The model comprises of the extraction and execution procedure of client necessities. It starts with the recognizable proof of the necessity explanation. Once distinguished, …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 3, 2017 · pp. 15–19 Read article
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Enhancing Language Modelling with RNN and LSTMbased Next Word Prediction
Abstract: A growing field of study, natural language processing is utilised in many different contexts. We frequently text each other, and we have noticed that whenever we type a message, a recommendation pops up to try to guess what word we will write next. The task of anticipating the next word is known as next word prediction or language modelling. This makes them highly effective for tasks such as language modelling, …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 20–24 Read article