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31 articles for “NN”
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them.In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system,weareusing a real time object detection using YOLOv3 model.‘You only look …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Petroleum Legislation and the Economic Impact of the Petroleum Industry Act (PIA) in Nigeria
Abstract: The Petroleum Industry Act (PIA) was enacted in 2021 to reform Nigeria’s petroleum sector by improving regulatory efficiency, investment climate, revenue generation, and host community engagement. This study examines its economic impact using policy analysis, economic data review, and comparative assessment with global best practices. Findings reveal that the PIA has improved governance, with NNPC Limited recording a 28% profit increase in 2024. However, regulatory uncertainty, such as the blocked …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 01–07 Read article
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Chaya Plant Extract Jatropha tanjorensis: The Concepts of Bioremediation of Contaminated Soil Evaluation
Abstract: This research was carried out to study the performance of sun-dried and room dried Chaya plant extract on the remediation of crude oil contaminated soil samples from Obele Community. The parameters under investigation were Total Petroleum Hydrocarbon degraded((TPHD), pH, amount of Nitrogen, Phosphate, and Potassium, Total organic carbon. Twenty-two (22) batch reactors were used for this research with each reactor containing 1kg of soils samples contaminated with 100ml of crude …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 31–48 Read article
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Physicochemical Analysis of Groundwater Quality In Owerri Municipal, Imo State, Nigeria Using MATLAB and ANN Models.
Abstract: The physicochemical analysis of groundwater quality in Owerri Municipal council, Imo state, Nigeria was carried out. Fifteen water samples were randomly selected from the five villages that make up Owerri municipal council were anlayzed for physicochemical parameters using standard methods. The results from the study area showed that the temperature ranged between 26.5-28.0oC; рH ranged between 4.80-5.32. Electrical conductivity ranged between 77-166 µЅ/cm. The total dissolved solids were between 35.4-168.4mg/l; …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 Read article
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Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
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Potential of Particle Size Mix Ratios of Plantain Ogoni Red with Clay Soil: The Integrity of Adsorbent Performance in AGO Treatment in Fresh Water Environment
Abstract: The research is focus on monitoring the performance of various formulated adsorbent mix ratio of clay soil with some agro-based materials in treatment of contaminated water environment. The agro-based material used was Plantain Ogoni Red (POR) and fresh water environment was used for this research. The agro-based material was processed into different particle sizes of 150 𝜇m, 300 𝜇m, 600 𝜇m and 1.18 mm and the clay soil into fine …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 12–25 Read article
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Evaluation of AGO Adsorption Rate Isotherms Using Adsorbent Formulation of Plantain Agbagba1 and Clay of Different Mix Ratio in Pollutant Remediation in Salt Water
Abstract: The application of some agro-based materials in combination with day soil, for the production of adsorbents were investigated in relationship to their performance in AGO (Diesel) treatment in a batch process unit. The research allows the model concept of Langmuir isotherm, Frundlich isotherm and Temkin Isotherm for the determination of the adsorption rate of the various isotherms with respect to the effect of the particle size and the mixed ratios …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 31–42 Read article
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Particle Size Effect on the Physicochemical Parameters of Water Media in Treatment of Contaminants of AGO and PMS
Abstract: Some of the physicochemical properties of contaminated water media with AGO and PMS was monitored upon the particle size effect and mix ratio. The physiochemical parameters monitored are potassium ammonia, iron and manganese concentration upon the performance of the formulated adsorbent immersed in the salt water and fresh water medium. The investigation demonstrates the occurrence of leaching in the process, which shows that some of the parameters adsorbed by the …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 27–36 Read article
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An Overview of Examination of Some Basic Raw Materials for Adsorbent on Approach of Pollutant Mitigation and Treatment
Abstract: This research showcases the basic parameters that are required to produce bio-adsorbent suitable for adsorption process and their important role on treatment of contaminated water environment. The overview of the physicochemical parameters of the raw materials used for the production of the adsorbents, the particle size and the mix ratio were identified as a contributing factor to the rate of contaminants mitigation in the system. The effect of water pollution …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 01–16 Read article
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Comparative Study of Percentage Removal of Iron from Water Media Polluted with PMS and AGO using Different Particle Size and Mix Ratios of Adsorbent
Abstract: The need to monitor the degree of comparative study of percentage removal of iron from water media contaminated with petrol motor spirit (PMS) and diesel (AGO) by the application of molded adsorbent in solid form. The adsorbent is made of clay soil with mixed of either of the agro-based materials listed, which include plantain Ogonic Red (POR), plantain Agbagba 1 (PA1) Banana Ogoni Red (BOR) and Banana Native (BN). The …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 25–38 Read article
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Effect of Particle Size Mix Ratio of Clay and Agro-Based Material for AGO and PMS Treatment on Microbial Growth
Abstract: The characteristics of possible microbes isolated and identified on adsorption process involving AGO and PMS as contaminants in fresh water medium was monitored using agro – based materials. The formulated adsorbent is made of clay with ago-based materials of Banana Ogoni Red (BOR) Banana Native (BN), Plantain Agbagba 1 (PA1), and Plantain Ogoni Red (POR). The particle size mixed ratio of clay to the various agro-based materials were 150𝜇𝑚 R5:5, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 05–14 Read article
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Screening Some Sorghum (Sorghum Bicolor L. Moench) Genotypes for Yield and Resistance Against Stem Borer (Sesamia Calamistis) in Nigeria
Abstract: Sorghum is a staple crop with global significance, scientifically it’s known as Sorghum Bicolor, stands as one of the most important cereal crops globally, particularly in regions with arid and semi-arid climates. Sorghum remains a cornerstone of agricultural economies worldwide with its widespread cultivation and diverse applications; however, its production is often hindered by various biotic stresses, with stem borer (Sesamia calamistis) infestation being a significant concern. The stem borer …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 50–55 Read article
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Correlation Between Agronomic and Stem Borer (Sesamia Calamistis) Resistant Traits In Sorghum (Sorghum Bicolor (L.) Moench)
Abstract: Stem borer (Sesamia calamistis) infestation remains a significant challenge in sorghum (Sorghum Bicolor (L.) Moench) cultivation, leading to substantial yield losses in Nigeria. This study is aimed at investigating the interrelationship between agronomic and resistant traits of stem borer (Sesamia calamistis), and its influence on selection. The study was carried out at the research field of Plant Breeding Unit, Department of Agriculture Biotechnology, National Biotechnology Research and Development Agency. Forty …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Evaluation of Agro-based Adsorbents for Oil Spill Remediation in Freshwater and Saltwater Environments: Kinetic and Adsorption Model Analysis
Abstract: Environmental pollution caused by oil spills poses significant risks to both human health and ecosystems, particularly in regions like Nigeria’s Niger Delta, where oil spills are frequent. Conventional methods for oil spill cleanup have limitations, which has prompted research into alternative, more effective techniques. This study investigates the use of agro-based materials, specifically plantain and banana species, combined with clay soil as adsorbents for oil removal in freshwater and saltwater …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–32 Read article
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An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 Read article
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article