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276 articles for “Accuracy”
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Brain Mapping Using Nanotechnology
Abstract: Electroencephalography deals with the recording and study of electrical activity of the brain. By means of electrodes attached to the skull of a patient, the brain waves can be picked up and recorded. The brain waves are the summation of neural depolarizations in the brain due to stimuli from the five senses as well as from the thought processes. On the surface of the brain, these voltages are about 10 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 12–16 Read article
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Review on GABASS (Genetic Algorithm Based Attributes Subset Selection) Using Naïve Bayes Classifier
Abstract: ABSTRACT In the present work, review on Genetic Algorithm based Attributes Subset Selection using Naïve Bayes Classifier is presented. A dataset can contain a few components. Many clustering strategies are intended for grouping low-dimensional information. In highdimensional space discovering groups of information objects is trying because of the scourge of dimensionality. At the point when the dimensionality expands, information in the immaterial measurements may create much commotion and veil the …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 21–27 Read article
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Object Detection using Machine Learning: A Survey
Abstract: ABSTRACTComputer vision techniques have become increasingly popular in the modern era. One of the applications of computer vision is in the detection of object in an image or video. In object detection a target object is detected, localized and labelled based on the type of object. Real time detection of objects in harsh environments, accuracy and speed are some of the major challenges in computer vision technology. A variety of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 7–11 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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Book Recommendation System Using Item-based Collaborative Filtering Technique and Cosine Similarity
Abstract: The quality of generated recommendations in collaborative filtering recommendation algorithms is determined by how accurately the similarity is calculated. There are multiple ways to improve the accuracy of similarity calculation. All the methods include calculation of user-ratings matrix, user-attribute matrix and item-attribute matrix. Collaborative filtering has two approaches namely user-based Collaborative Filtering and item-based collaborative filtering. This paper discusses item-based collaborative filtering using cosine similarity for determining similar items.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 20–27 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article
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Short-Term Load Forecasting By Using ANN
Abstract: Load forecasting play an impartment role in power system planning, operation and control. Short-term load forecasting is an important basis of the secure and economic operation in power systems. Accurate load forecasting is helpful to improve the security and economic effect of power systems and can reduce the cost of generation. Therefore, finding an appropriate load forecasting method to improve accuracy of forecasting has important application value. This paper explains …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 1, 2015 · pp. 31–36 Read article
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Design and Construction of High-Performance Vehicle Tracking System
Abstract: A vehicle tracking system (VTS) has been designed, constructed, and evaluated. The main purpose is to accurately determine the position of a vehicle at any time with minimal response delay. The device consists of a GPS receiver, a microcontroller, and a GSM module. These systems function by constantly monitoring and tracking the positional location of the vehicles and concurrently reporting the details to the central location via SMS on an …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 7, Issue 1, 2021 · pp. 25–35 Read article
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Home Automation System Via GSM
Abstract: This study looks into the possibilities for "Full Home Control," which is what future home automation systems hope to the intelligent, automated home system uses a PIC16F887 microcontroller with GSM integration to produce a 9600 bps baud rate. A maximum of four loads were used to implement and test the proposed prototype of the GSM-based home automation system, which exhibited an accuracy of 98%. In this initiative, we're creating a …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 2, 2022 · pp. 14–19 Read article
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Breast Tumor Classification Using Machine Learning Algorithm
Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Developing a Python-based Chatbot Library SansArLIB for Advanced Communication: A Comparative Study with Baseline Chatbots
Abstract: The purpose of this study was to develop and evaluate a Python-based library called "SansArLIB" for improving chatbot technology. The library was designed to provide developers with a comprehensive set of tools and resources for creating more advanced chatbots that can better understand and respond to user queries. The study involved developing the library and testing it across three different chatbot scenarios. The results showed that the SansArLIB library had …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 1–6 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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METALLURGY OF INVESTMENT CASTING TECHNOLOGY
Abstract: Investment casting is the most widely used process for several centuries, known as ‘lost wax casting’ or ‘precision casting’. This process is known to produce complex castings with good surface finish and dimensional accuracy. Poor quality of castings is always marked by inadequate surface finish, hardness and excessive shrinkage of the wax pattern. This review paper discusses on the history of investment casting technology, its processing techniques and parameters, casting …
Published in International Journal of Metallurgy and Alloys · Vol. 1, Issue 1, 2015 · pp. 1–14 Read article
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Recent Developments in Nanosensors for Biomedical Applications
Abstract: In recent years, nanosensors have become increasingly popular due to their potential applications in various biomedical fields. These sensors have the ability to detect various biomolecules, ions, and pathogens at the nanoscale level, which is crucial in disease diagnosis and monitoring. The purposeof this article is to provide a comprehensive review of the latest developments in nanosensors for biomedical applications. We focus on the different types of nanosensors, including optical, …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 16–20 Read article
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Nanolithography: A Promising Tool for Precision Nanofabrication
Abstract: Nanolithography is a crucial technique in nanofabrication that involves patterning materials on a manometer scale. With the increasing demand for smaller, faster, and more efficient electronic devices, nanolithography has become an indispensable tool in the semiconductor industry, where it is used to create structures for integrated circuits, sensors, and other nanoelectronic components. The two main types of nanolithography are top-down and bottom-up approaches. In top-down lithography, a bulk material is …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 8, Issue 2, 2022 · pp. 14–21 Read article
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Effect of Abrasive Water Jet Machining Parameters—An Experimental Investigation
Abstract: Machining studies on the fiber reinforced polymer composites is vital requirement for the composites application in different fields. Particularly advanced machining techniques like abrasive water jet machining can be machined with higher accuracy and distortion free composites. In this work aims to study the abrasive machining parameters on the basalt fiber polymer composites. The woven basalt fiber reinforced polymer composites were prepared using hand layup techniques. The machining effect of …
Published in International Journal of Composite and Constituent Materials · Vol. 6, Issue 2, 2020 · pp. 21–23 Read article
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An Efficient and Simple Higher Order of Shear Deformation Theory for Static and Free Vibration of Laminated Composite Plates
Abstract: In the present study, the static and free vibration of laminated composite plates is examined by using a refined shear deformation theory and developed for a bending analysis of orthotropic laminated composite plates. These models take into account the parabolic distribution of transverse shear stresses and satisfy the condition of zero shear stresses on the top and bottom surfaces of the plates. The most interesting feature of this theory is …
Published in International Journal of Composite Materials and Matrices · Vol. 2, Issue 1, 2016 · pp. 23–42 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article