classification
47 articles · search the full text for this term
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Customer Churn Prediction in Life Insurance
Abstract: In order to forecast customer churn and keep consumers, life insurance firms frequently struggle to use their data efficiently. New opportunities have emerged for tackling this problem due to advancements in categorization models within the field of machine learning. In this study, we suggest an innovative method that uses machine learning classification models to forecast client churn and boost customer retention rates in the life insurance sector. Our proposed system …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 23–34 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 4, 2021 · pp. 9–25 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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Hyperspectral Image Compression and Classification: A Survey
Abstract: The applications of hyperspectral images (HSI) are many, which include agriculture, food quality, remote sensing, medical diagnostics and safety assessment. Hyperspectral image analysis has been used for detecting contaminants and identifying defects in food. It also utilizes advanced software and hardware tools hence allowing users to diagnose and detect pathologies. In this paper an avant-garde investigation about Hyperspectral image compression and classification techniques which can be used in various applications …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 4, 2022 · pp. 9–23 Read article
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Description & Prevention of Omicron
Abstract: November 9, 2021, Botswana becomes the first country to recognise it (Nov 11 2021). The new variant (B.1.529) has been represented in 77 countries. Omicron presents 32 changes in spike protein Scribd, restricting the point of interaction with the ACE2 receptor protein. Computational shows and components’ recreation has been applied to investigate the collaboration between the SARS-CoV-2 RBD and the ACE2 receptor. The receptor-binding domain (RBD), which more barely joins …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 8, Issue 4, 2023 · pp. 5–16 Read article
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Criteria for Algal Classification
Abstract: Algae are the photosynthetic microcells found in the aquatic environment. Algae are the unicells and multicellular microorganisms ranging in size from a few microns to the meters-long kelps in the ocean's large seas. Algae are both kinds, they can be prokaryotic and eukaryotic organisms, prokaryotic algae are of the cyanobacteria, whereas the rest of the algae of the other classes are of eukaryotic origin. Algae are aquatic in origin, plant …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 12, Issue 2, 2022 · pp. 15–18 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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Monitoring and Controlling System of COVID-19 Symptoms Using Random Forest
Abstract: Corona virus (COVID-19) has already claimed hundreds of lives and infected millions of people around the world. The early detection of COVID-19 is shown in this paper. Machine learning random forest techniques were used to implement the detection procedure on cloud computing. Objectives of the study is to provide health assurance directly from home using some smart tools with cloud computing. Our research contribute the categorization of patients into different …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 22–29 Read article
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Artificial Intelligence Based Plant Disease Detection
Abstract: This paper analyses the advanced Neural Network (NN) techniques for hyperspectral data processing, with a particular focus on detecting plant disease. To initiate, we will discuss the NN mechanism, types, models, and classifiers that are used to process the hyperspectral data using different algorithms. Following that, this project discusses the current state of imaging and non-imaging hyperspectral data for early screening and diagnosis of Disease. The NN-hyperspectral hybridization method has …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 11–24 Read article
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Speech Emotion Recognition using Convolutional Neural Networks
Abstract: This research work presents an assortment of techniques in Speech Emotion Recognition with the help of spectrograms and handcrafted Deep learning architecture: Convolutional Neural Networks (CNN). Emotional kingdom detection is a crucial part of human-device interplay studies. To make interaction between man and machine more natural, many milestones are conquered in speech emotion recognition, but still this process requires more up-to-the-mark results. To make an attempt for the same, this …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 26–32 Read article
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Liposome and Its Method of Preparation: A Review
Abstract: Liposomes are spherical vesicles that self-assemble and range in size from 20 nm to 10 m. They can be used as drug carriers for lipophilic, hydrophilic, and amphiphilic medications. Lipophilic and amphiphilic drugs can be encapsulated inside the lipophilic bilayer, whereas hydrophilic drugs can be integrated into the aqueous heart. Many liposomal preparations are currently undergoing clinical trials, with some of them being accepted for clinical use. By altering the …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 2, 2025 · pp. 25–30 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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Predicting Employees Performance using Data Mining Techniques
Abstract: Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 4–13 Read article
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Sentiment Analysis Using Hybrid Feature Extraction for Hotel Reviews
Abstract: Interpersonal interaction destinations have become well known and normal spots for sharing wide scope of feelings through short messages. These feelings incorporate satisfaction, pity, tension, dread, and so forth. Breaking down short messages helps in recognizing the conclusion communicated by the group. Feeling analysis on hotel audits recognizes the generally speaking sentimentor assessment communicated by a commentator towards an inn. Numerous specialists are dealing with pruning the notion investigation model …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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A Review on Segmentation Approaches for Brain Tumor Detection
Abstract: It is commonly said statement ‘the health is wealth’, so if you are healthy then everything is with you. Although everyone takes care of their health in their own ways but some diseases are not under the control of the human being.The “tumor” is one of the crucial diseases which is till now, out of control, in which brain tumor is again a serious issue. The most crucial job which …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 6–12 Read article
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Voting Classification Method for Network Traffic Prediction
Abstract: Prediction analysis (PA) is a data mining-based technique. The futuristic outcomes based on present data can be predicted using this technique. As the dataset is large and complex, network traffic classification is a big concern in prediction analysis. Three phases are included in network traffic strategies. The data collection is obtained in the first step of pre-processing, and it is analysed to delete incomplete and obsolete values. The relationship between …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 23–30 Read article
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Study on the Diagnostic Classification and Clinical Psychological Characteristics of Depression in General Clinical Setting
Abstract: AbstractObjectives: The aim of the study is to propose the diagnostic classification and to reveal clinical psychological characteristics of depression that can be seen in digestive department. Method: After verification of depression by Hamilton Depression Rating Scale to 120 patients with digestive disease, we assessed and classified depression by etiology, psychological and somatic symptoms considering biological factors (gender, age etc.). Results: we classified depression in general clinical setting into psychosomatic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 2, 2020 · pp. 17–23 Read article
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Robust Quadratic Discriminant Rule using Comedian
Abstract: Discriminant analysis aims to get rules that separate the groups of observations. Moreover, it can be used to classify new observations into one of the known groups. The classical discriminant techniques are based on the classical estimates of mean vector and variance covariance matrix. Unfortunately, these classical estimates are highly influenced by the extreme observations and hence any analysis based on these estimates will provide misleading results when the data …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 2, 2019 · pp. 41–47 Read article