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ISSN: 2666-3074

Machine learning based diabetes prediction and development of smart web application

•The goal of this work is to find effective machine learning based classifier models for detecting diabetes in individuals utilizing clinical data.•The results of this study suggest that an appropriate...

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Medical image fusion method by deep learning

•Deep learning models can extract the most effective features automatically from data to overcome the difficulty of manual design. In this paper, deep learning model is intended to be introduced into...

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Exploring the potential of 3D scanning in Industry 4.0: An overview

•A 3D scanner is a non-contact, non-destructive digital device that uses a light/laser source to accurately capture the shape of a physical object into computer-aided design (CAD) data.•It generates...

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Fake News Classification using transformer based enhanced LSTM and BERT

•Fake News has been a concern all over the world and social media has only amplified this phenomenon and it has been affecting the world on a large scale as these are targeted to sway the decisions...

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Multi-class sentiment classification on Bengali social media comments using machine learning

•In recent years, immense work has been done on sentiment analysis directed towards the binary (positive, negative) or ternary (positive, neutral, negative) classification. Due to the complexity of...

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An ensemble machine learning based bank loan approval predictions system with a smart application

Banks rely heavily on loans as a primary source of revenue; however, distinguishing deserving applicants who will reliably repay loans presents an ongoing challenge. Conventional selection processes...

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Image cyberbullying detection and recognition using transfer deep machine learning

•This research addresses shortcomings in existing literature and offers a new perspective in the fight against cyberbullying.•It proposes a hybrid approach that utilizes the strengths of both deep learning...

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An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

•World Health Organization (WHO) reported globally that adult diabetes patients have nearly doubled since 1980, rising from 4.7% to 8.5%. In 2012, 1.5 million people died due to diabetes.•The early...

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Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification

•Transfer learning was applied using three state-of-the-art CNN architectures, ResNet50, ResNet152, and SqueezeNet1 with parameter-tuning to classify the lesions.•The experimental findings revealed...

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A review on object detection in unmanned aerial vehicle surveillance

•In this paper, a detailed literature review has been conducted focusing on object detection and tracking using UAVs concerning different applications.•Contribution: Object detection methods applied...

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Continuous word level sign language recognition using an expert system based on machine learning

•A sign language database consisting of 80 classes was created.•Classification was performed using two approaches, namely, SVM with mediapipe and YOLOv4.•An expert system was designed which combined...

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Segmentation and classification of brain tumor using 3D-UNet deep neural networks

•The proposed work considers an image registration model, a 3D U-Net model, for the volumetric segmentation of the brain tumor.•The next step is the classification of the brain tumors into meningioma,...

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Facial expression recognition via ResNet-50

•We propose a deep residual network ResNet-50 for facial expression recognition.•Convolution operation is used to extract features and pooling is used to reduce dimension of features.•BN and activation...

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Automatic COVID-19 prediction using explainable machine learning techniques

The coronavirus is considered this century's most disruptive catastrophe and global concern. This disease has prompted extreme social, psychological and economic impacts affecting millions of people...

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Human-like evaluation by facial attractiveness intelligent machine

•We present an intelligent system to learn the concept of women's facial attractiveness and generate a human-like predictor for ranking attractiveness.•The results clearly show that facial attractiveness...

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Evolutionary trends in progressive cloud computing based healthcare: Ideas, enablers, and barriers

•Cloud computing is one of the significant facilitators of the health information revolution in the healthcare.•This technology establishes standard accessible hardware for diverse healthcare applications...

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Exploring generative adversarial networks and adversarial training

•Generative Adversarial Networks (GANs) are notorious to train. Research has been conducted in various angles to address the challenges.•Classifiers or Discriminators are susceptible to adversarial...

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Technology-Assisted Language Learning Adaptive Systems: A Comprehensive Review

•Comprehensive review of trends and development of technology-assisted language learning (TALL) adaptive systems is presented.•Resulting studies have been analyzed from three dimensions viz. spatial...

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Deep learning based assistive technology on audio visual speech recognition for hearing impaired

•Assistive technology on speech to text conversion for hearing impaired students.•Performance of the system boost using multi modal features.•Lip reading architecture capture visual speech recognition.•Deep...

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Comparison of multiclass classification techniques using dry bean dataset

•Multiclass classification approaches are used for the classification of this study.•This paper uses statistical approach IQR and heatmap for data preprocessing.•Adaptive Synthetic (ADASYN) approach...

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A review of the application of deep learning in the detection of Alzheimer's disease

•Alzheimer's disease (AD) detection using deep learning was reviewed.•Patch based and ROI based feature extraction methods are used most frequently and effectively.•Preprocessing technology is key to...

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Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

•Determine the prevalence of malnutrition among women in Bangladesh.•Identification of the risk factors of malnutrition using logistic regression.•Prediction of malnutrition based on machine learning...

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Progress and prospects of data-driven stock price forecasting research

•Stock price prediction has become an important research direction in the field of cognitive computing in engineering.•The article reviews the literature on stock price forecasting methods, and classifies...

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Smart Home Security Solutions using Facial Authentication and Speaker Recognition through Artificial Neural Networks

•Holistic solution for Smart Home Security which helps in improving privacy and security using two independent and emerging technologies of Facial authentication and Speech Recognition.•The entire process...

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Amalgamation of Blockchain with resource-constrained IoT devices for healthcare applications – State of art, challenges and future directions

•The traditional IoT based medical services suffer from several challenges such as data security, privacy, interoperability, single point of failure, scalability, and data integrity.•Research article...

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