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817 articles for “Classify”
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DISEASE PREDICTION SYSTEM USING MACHINE LEARNING
Abstract: Machine learning (ML) is a rising field. It already plays an important role in many fields, with projects of all sizes showing its positive impact. One such use of machine learning algorithms is in the healthcare field. Medical facilities need to be improved in order to make better decisions about patient diagnosis and treatment options. In this paper, we attempt to use the performance of Machine learning equipment in health …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 14–18 Read article
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Liver Patient Analysis Using Machine Learning
Abstract: Liver, a critical inside organ of the human body whose chief errands are to take out created squander delivered by our life form, digest food, and safeguard nutrients and energy materials. The liver problem can cause different deadly infections, including liver malignant growth. Early conclusion, and treating the patients are necessary to diminish the gamble of those deadly sicknesses. As the finding of liver illness is costly and refined, various …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 29–35 Read article
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A Survey: A Low EMI Approach to Electronic Circuit Design
Abstract: This paper describes techniques to meet national and International standards in the area of electromagnetic interference (EMI) which are becoming very important for users and equipment manufacturers of electrical/electronic equipment. EMI sources are identified & classified into either natural or manmade. Normal sources of EMI are further classified as terrestrial, emanating on or near the Earth’s surface or non terrestrial, emanating from cosmic or solar bodies. Techniques to reduce EMI …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 1, 2013 · pp. 1–4 Read article
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Analysis of Different Level Half-Bridge Modular Multilevel Inverter
Abstract: Inverter is a power electronics device which is used to convert DC power to AC power at required output voltage and frequency. It can be broadly classified as two level inverters and multilevel inverters. The multilevel inverters are mainly classified as Diode clamped, Flying capacitor inverter and cascaded multilevel inverter. The design and operation of cascaded half bridge modular multilevel inverter (MMC) was very easy. Because, no clamping diode and …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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Image Processing Techniques for Detecting and Classification of Leaf Diseases
Abstract: Plants are the way to make a living. From the factors of our daily life to breathing we are totally dependent on plants. Therefore, plant care must be proper. Plant diseases involve, of instance, algae, bacteria, and viruses. Several researchers have to classify plant diseases but it is time consuming to manually identify them. Image processing techniques are used to detect various diseases of the plant. There are several steps …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 1–6 Read article
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Classification of Pattern using Spline Function and Statistical Data Mining: Review Paper
Abstract: ABSTRACTMany people are affected by lung diseases. Respiratory diseases are curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry is most widely used pulmonary function test that is essential to measure the volume of air exhaled from the fully inflated lung as a function of time. The output of spirometry is inthe form of graphs i.e., …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 37–42 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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Numerical Simulation of Deep Convolutional Neural Network Based Flower Classification System
Abstract: There are more than 250,000 recognized floral plant forms in 350 families. Further more the order, the plant checks of structures, the gardening industry, live plantations and scientific flower classification instructions depend on fruitful flower classification, including a content-based image recuperation. A wide range of applications also includes flower portrayals. The manual classification is however tedious and tiresome, particularly when the picture foundation is perplexing, with a huge number of …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 23–31 Read article
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Automated Fake News Detection System
Abstract: The classification of fake news on social media platforms has drawn a lot of attention recently because it is so simple to put false stuff there. In addition, they prefer social media to traditional television as their news source of choice. These patterns have increased academics' understanding of fake news and inspired an increase in interest in its identification. The primary goal of this work was to classify incorrect information …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 70–78 Read article
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Evaluation and Scientific Investigation: Stock Market Forecasting Techniques
Abstract: Analysts and scholars have consistently shown interest in predicting stock market trends, a complex task given the multitude of variables influencing stock values. This article includes a thorough analysis of 50 research papers that propose methodology for stock market prediction, including Bayesian models, fuzzy classifiers, artificial neural networks (ANNs), support vector machines (SVMs) classifiers, neural networks (NNs), and machine learning techniques. The collected papers are categorized using various prediction, clustering …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 26–40 Read article
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Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
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Towards a Machine Learning Oriented Expert System for Intrusion Detection Model
Abstract: AbstractIn this paper, we describe the possibility of using machine learning and expert system for constructing a new intrusion detection model. The first main idea is to construct the classifier on the KDD intrusion data using a machine learning algorithm. For constructing the classifier J48 decision tree machine learning algorithm is used. The other key idea is to collect domain expert knowledge, and building an expert system to interpret and …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 24–30 Read article
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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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DoS Attacks and Detection Schemes in Wireless Mesh Networks
Abstract: The attacks of DoS are a group of collaborative attacks made by attackers to threat internet security. A compromised system was used by the attacker has been used prohibit the user to access the resources. The attacker uses compromised systems to prevent users from having access to the server resources. In this survey, we will find defense mechanisms against DoS attacks that may have importance through the internet. The appliances …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 11–19 Read article
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An Appraisal of Medhya Rasayana (Nootropic Herbs) In Present Scenario
Abstract: Rasayana tantra is a branch of ayurveda which describes the measures of attaining long life, maintenance of youthfulness, increasing immunity and providing excellent nutrition to all the body tissues. Rasayana on regular practice boosts nourishment, health, memory, immunity and longevity. Rasayana can be classified as Dravyabhuta and Adravyabhuta Rasayana. Adravyabhuta Rasayana includes Aachara Rasayana and Dravyabhuta Rasayana; classified as Kamya Rasayana, Naimittika Rasayana and Ajasrika Rasayana. Medhya Rasayana (nootropic herbs) …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 7, Issue 1, 2018 · pp. 27–32 Read article
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Development of Intensity-based Segmentation Technique for Meningioma Tumor Detection in MRI Images
Abstract: There are many types of brain tumors. Some brain tumors detection system using segmentation and classification of MRI images. Brain tumors can have any shape or cut. This encourages us to use high-capacity deep neural networks. Segmentation task and 8000 images for classification task of our neural network and found the best architecture to use. convolutional neural network. In recent years, the three most common forms of brain tumours—glioma, meningioma, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 50–54 Read article
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Body Composition Assessment of Young Adult Females Using Body Composition Analyzer
Abstract: This cross-sectional research investigation assessed the nutritional status and body composition of university young female students of 18–28 years of age, devoid of any apparent or known health problems. A total of 30 subjects participated in the study. Nutritional status of the subjects was assessed using body mass index (BMI) and body composition analyzer BC-420 MA. Results of BMI revealed that it ranged from 15.2 to 28.8 kg/m2 with mean …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 1, 2016 · pp. 9–14 Read article