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19 articles for “Reduced NN.”
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A Study on K-Nearest Neighbor Techniques with Other Techniques
Abstract: AbstractThe closest neighbor (NN) system is basic, exceptionally proficient and feasible in the field of example acknowledgment, content arrangement, object acknowledgment and so forth. Its straightforwardness is its primary preferred position; however, the impediments cannot be overlooked even. The memory necessity and calculation unpredictability are moreover matters. Numerous methods are created to defeat these restrictions. NN procedures are comprehensively ordered into structure less and structure-based procedures. In this paper, we …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 7–11 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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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Enhanced Oil Recovery through the Application of Nanoparticles with Irvingia Gabonensis in Flooding Process in the Reservoir
Abstract: This experimental investigation is aimed at establishing the ability of nanofluids formula from a mixture of nanoparticles and oil extracted from Irvingia gabonensis (bush mango) in enhancing recovery from oil reservoir. The laboratory study involved the use of core flooding unit, crude oil, brine, nano-particles and Irvingia gabonensis. In this study, nanofluids formulated from nanoparticles of aluminum oxide (Al 2 O 3 ) and zinc oxide (ZnO) respectively were used …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 1–9 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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Reducing the Dimensional Dependence for Rank-Based Similarity Search
Abstract: In this paper a data structure for k-NN search, the rank cover tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values and not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that with …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 9–17 Read article
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Reducing the Dimensional Dependence for Rank-based Similarity Search
Abstract: In this paper, we try to introduce a data structure for k-NN search, the Rank Cover Tree (RCT). The pruning tests for RCT rely on the comparison of similarity values not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 20–25 Read article
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Moshinsky Transformation and Slater Integral Methods as Evaluation Tools for Overlap Probability in Six-Quark Bag
Abstract: A comparative study of Moshinsky transformation and Slater integral methods in successful calculation of Binding Energy of mirror hypernuclei pairs ( 6 He ~6 Li , 14 14 C ~ N ), using six-quark probability of nucleon-nucleon ( ( ) 6 0 q NN P r ) and nucleon-Λ hyperon ( ( ) 6 0 q N P r ). The contribution of direct and …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 1–11 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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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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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 · pp. 1–21 Read article
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FPGA-based Multichannel Digital Duty-Cycle Modulation and Application to Simultaneous Generation of Analog Signals
Abstract: The DCM (duty-cycle modulation) is used in industrial electronics as a special technique for producing switching time-varying periodic waves, with variable pulse width and modulation period. As an implication, unlike the fixed period of a PWM wave, the cyclic ratio of a DCM signal changes as a function of the modulating input according to a known function. However, most existing research works related to DCM-based instrumentation systems, are limited to …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 23–35 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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Online Handwritten Kannada Character Recognition and Translation to English
Abstract: Abstract—The objective of the paper is to develop a technique that can efficiently recognize hand-written characters of Kannada language and then translate the same to English language. Online recognition refers to the processing of the characters as and when it is written on digitizer and recognizes the class which it belongs to. The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 37–53 Read article
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Faults Detection Techniques of Three Phase Induction Motor: A Review
Abstract: Induction motors are the most commonly used machines in industries. It is very robust, inexpensive and easy to maintain. Induction motors appear to various faults during their operation. Accurate fault identification is the prime industrial need to reduce breakdown, maintenance and revenue losses. Therefore, an early fault detection is needed for the protection of the motor against electrical and mechanical failures for continuing their operation safely. The main perspective of …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 45–49 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 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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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Empirical Analysis of the Effects of Owner Occupied and Tenant Occupied Housing Units on the Environmental Quality of Enugu, Nigeria
Abstract: AbstractHow occupants of housing units handle the various housing units they occupy has been identified as among the factors affecting the quality of the dwelling units of residential environment of Enugu metropolis. The actions of landlords who own and occupy their housing units in Enugu (as they concern the housing units owned and occupied) are different from those of the tenants who occupy the units on rental basis. These invariably …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 2, 2016 · pp. 33–41 Read article