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204 articles for “generative models”
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Application of Hengstebeck's Model in Multicomponent Crude Oil Distillation Design
Abstract: Mathematical models were developed for the analysis of the Atmospheric Crude Distillation Unit of Port Harcourt Refinery in Nigeria. The resultant system of equations was solved using the method of matrix inversion using Mathlab software and the models predicted with reasonable accuracy composition of side draws (different fractions) and temperatures. Also, the effect of process parameters on the overall performance of the unit was studied. In addition, the study applied …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Applications of Sesame Residues as Sorbents for Oil Removal from Produced Water
Abstract: Large amounts of produced water are produced in tandem with the production of crude oil. Both dissolved and dispersed oil are present in produced water, which can contaminate the environment and pose health risks to people. In this study, the oil component, cadmium, and lead ions were extracted from the generated water using sesame residues and agricultural wastes. The sesame residues were dried, size-reduced, and ground. Standard techniques were used …
Published in International Journal of Agrochemistry · Vol. 11, Issue 1, 2025 · pp. 5–16 Read article
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 Read article
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Melanoma’s Nemesis: Assessing the Pharmacological Impact of Curcumin and its Analogues as Inhibitors of Identified Biomarkers Via Network Pharmacology
Abstract: Objectives: Since the advent of next-generation sequencing, melanoma has been recognized as an immensely heterogeneous disease, leading to the discovery of numerous underlying genetic drivers over time. Bioinformatic and machine learning analyses have become increasingly prevalent in risk stratifying melanoma patients with high accuracy, leveraging genetic, clinical, and histopathological inputs. Via various research curcumin has been identified and also shown therapeutic efficacy in Melanoma. In order to reveal the interactions …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 33–44 Read article
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Power Quality Enhancement in 3P4W Electrical Distribution System by using DCMLI-DSTATCOM-TIES with Reliability Study
Abstract: The Quality of the output power from the utilities has become a serious concern of the trendy industries. These power quality associated issues area unit voltage sag, surge, flicker, voltage imbalance, interruptions and harmonic issues. These power quality issues might cause issues to the industries starting from haywire of kit to finish plant close up. It’s been known that power quality will be degraded each owing to utility aspect abnormalities …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 1, 2017 · pp. 16–33 Read article
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Implementation of Close Range Photogrammetry to Evaluate Distresses at Asphalt Pavement Surface
Abstract: Roadway pavements surface deteriorate with time because of traffic loading, environment conditions, and poor pavement maintenance management. The aim of this research is to implement close range photogrammetry technique for evaluation of the pavement surface distresses. The assessment was based on comparison with the traditional visual inspection method and validation of its equivalency with visual evaluation. The asphalt concrete pavement surface distresses such as (cracking type and crack width, patching …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 1, Issue 1, 2015 · pp. 1–14 Read article
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A Review on Multi-Area Load Frequency Control
Abstract: The operation of interconnected deregulated power system is totally based upon the balance between power generation and the load variation including system losses. Two variables of interest which are affected due to the sudden variation in load perturbation are system frequency and tie-line power. The approach of most of the researchers towards solving this problem has been to obtain the best method of controlling the governor action so that the …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 21–39 Read article
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The Moderating Role of Personality Traits on Relationship between Occupational Stress and Quality of Life among Nursing Staff Working in Psychiatry Wards
Abstract: Sample of the study was 150 nurses (males and females) from psychiatry wards of Rawalpindi and Islamabad. Results were generated through SPSS by using regression, t-test, correlation and moderation. Three scales were used in study: Working stress Scale (WSS), Quality of life questionnaire (QOL) and big five inventory (BFI). Results showed that participants were having moderate occupational stress and moderate quality of life and most of the participants showed high …
Published in International Journal of Neurological Nursing · Vol. 6, Issue 2, 2020 · pp. 102–121 Read article
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Experimental Investigation of the Dynamic Behavior of Masonry Structures During Earthquakes
Abstract: Masonry buildings, which show strength and susceptibility in the face of seismic activity, have been an essential component of human architecture for generations. For buildings to enhance their seismic performance and provide occupant safety, it is essential to comprehend their dynamic behavior during seismic. This review article summarizes experimental research on seismically loaded masonry buildings, emphasizing important discoveries, techniques, and difficulties. This review attempts to provide light on the dynamic …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Examination of Oil Extraction using Hexane and Ethanol: A Case Study of Coconut
Abstract: The research was aimed to comparatively study the effects of solvent extractions on three differentspecies of coconut using developed model equations of extraction and experiment conducted. The mainobjective was comparison of experimental results in terms of yields on the performance of solvents(hexane and ethanol) on the various species of coconut. The research was useful for communities in theWest African countries that are significantly dependent on financial gain from agrarian enterprise. …
Published in International Journal of Green Chemistry · Vol. 7, Issue 1, 2021 · pp. 6–26 Read article
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Advancements in Material Science for Prolonging Service Life in Steam Turbine Components: A Review
Abstract: The longevity and performance of steam turbine components, which are essential assets in the infrastructure for power generation, are being greatly enhanced by advances in material science. This paper examines recent advancements made with the goal of using innovative materials and coatings to increase the longevity and effectiveness of turbine components. This review's scope includes an examination of cutting-edge materials, including composites, high-performance alloys, and ceramics, that are designed to …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 23–28 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor
Abstract: This paper presents a comprehensive strategy for enhancing the low voltage ride-through capability in wind energy conversion systems by integrating phasor measurement units, Type-III wind turbine systems, and flexible AC transmission systems devices. The research focuses on double fed induction generators-based wind turbines, which constitute a significant portion of wind energy systems but face challenges in maintaining grid stability during voltage sags. As wind turbines are directly connected to the …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 15–40 Read article
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Performance Evaluation of 45kW Low Temperature Proton Exchange Membrane Fuel Cell System Using Simulation Techniques
Abstract: AbstractThe Low-Temperature Proton Exchange Membrane Fuel Cell (LT-PEMFC) has gained prominence as a promising solution for clean and efficient energy generation, particularly in the automotive industry, where stringent emission norms and sustainability goals are driving innovation. LT-PEMFC systems offer several inherent advantages, including high energy conversion efficiency, low operational temperature, rapid start-up capability, and compatibility with hydrogen as a renewable fuel source. These characteristics make them attractive for commercial vehicle …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 25–39 Read article